Digitala Vetenskapliga Arkivet

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  • 1.
    Abbas, Nada
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Kans, Mirka
    Linnaeus University, Faculty of Technology, Department of Mechanical Engineering. Chalmers University of Technology, Sweden.
    Information Needs of Gravel Road Stakeholders2022In: Infrastructures, E-ISSN 2412-3811, Vol. 7, no 12, article id 166Article in journal (Refereed)
    Abstract [en]

    Within any ecosystem, information sharing is essential. In this paper, the Swedish gravel road ecosystem is studied, where information plays a crucial role for the effective management of operations and maintenance. However, efficient information sharing is not enabled due to the lack of appropriate information systems. For addressing this issue, this paper intends to elicit information needs of gravel road stakeholders to support the design of a cloud-based information system. The main purpose is to explore the information needs of stakeholders within the Swedish gravel road ecosystem. Data were collected through in-depth semi-structured interviews with 11 participants representing key stakeholders in the ecosystem. Template analysis was used for analyzing the interview results. The major findings were a set of information needs covering road identification and condition, weather conditions, accessibility and traffic, maintenance policy, and sensor data. The results form a comprehensive information model for the further development of a cloud-based gravel road management system that would contribute to increased traffic safety and comfort, lower maintenance and management costs, and better decision-making abilities.

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  • 2.
    Abbas, Tabassom
    et al.
    University West, Department of Engineering Science, Division of Industrial Engineering and Management, Electrical- and Mechanical Engineering.
    Sandblom, Sofia
    University West, Department of Engineering Science, Division of Industrial Engineering and Management, Electrical- and Mechanical Engineering.
    Digitalisering av arbetsflöde för avvikelsehantering på inköpt material: En fallstudie utförd på Nolato Cerbo AB i Trollhättan2020Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    A case study was performed at Nolato Cerbo AB in Trollhättan, with the objective to design a suggestion of a digital workflow for deviation handlingfor purchased material. The following questions were issued to fulfil the objective of the case study:

    • Is a workflow for deviation handling for purchased material possible to digitalize in order to facilitate documentation, traceability and information handling?

    • How should the workflow be designed in order to reach the involved personnel's requirements and needs?

    • Which advantages and disadvantages could emerge from the implementation of a digital workflow? To be able to map the current workflow and its issues, interviews with the involved departments were conducted. The interviews also brought up the employees' opinions of a digital workflow. A flowchart was created and waste in the workflow was identified. A benchmarking was performed at Varner Retail Logistics AB, to get an insight of how another company uses a digital workflow for deviation handling. A new flowchart for deviation handling for purchased material was created, where the manual parts of the flow were digitalized. After a test had been performed with concerned employees, it could be stated that the digital workflow will facilitate documentation, traceability and information handling. The requirements and needs for the involved personnel were also fulfilled. Advantages that the respondents consider can be achieved with the digital workflow was time save, no manual handling of paper, a faster distribution of information and that the correct information will be filled in from the beginning. Disadvantages that the respondents consider can emerge is that it will take some time for the employees to learn and adapt to the new way of working and the limitations of the mobileapplication. The conclusions that were drawn was that the digital workflow will be able to be used if it's designed according to the suggestion, although changes to the workflow might be performed in the future. There might also be employees at Nolato CerboAB which afraid of digitalization and changes. For the implementation to be successful, an education and information about the possibilities that digitalization brings will be required.

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  • 3.
    Abbas, Umar
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Quality Management and Mechanical Engineering.
    Barnets bästa – en utveckling inom Kriminalvården: En fallstudie om hur kriminalvården utvecklar sin verksamhet efter att barnkonventionen blev lag i Sverige.2021Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    The starting point for the study was that the Swedish Prison and Probation Service received criticism from the Committee on the Rights of the Child when it comes to children of parents who are deprived of their liberty, criticism that children travel far to visit their parents, and criticism that children who travel far may not automatically extend their visit to certain institutions. At the same time, research has pointed to challenges and important conditions for considering the Convention on the Rights of the Child in the prison service. In a Swedish context, after the Convention on the Rights of the Child becomes law in Sweden in 2020, the organizational development with regard to fulfilling children's rights in the public sector has been relatively unexplored. The research aims to fill part of that knowledge gap. The purpose of the study is to see how the Swedish Prison and Probation Service develops with regard to compliance with the Convention on the Rights of the Child. The issues focus on how the prison service improves its activities in order to constantly consider the Convention on the Rights of the Child in matters concerning children. The study was conducted through a qualitative study. Data collection for this study was done through semi-structured interviews, nine respondents who are children's representatives at different levels in the hierarchy in the region west. The study shows that the Swedish Prison and Probation Service controls processes centrally from above by informing legislation, national guidelines for communicating how the Convention on the Rights of the Child is taken into account to regions and then to local units. Then each unit interprets the guidelines in the way that suits the unit type, such as detention, institution, or probation. The study shows that more cooperation is needed between different authorities to promote work for the best interests of the child. According to the study, however, it is not enough to consider children's conventions in the handbooks or through training, but there must be a personal commitment on the part of employees considered customer-oriented.

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  • 4.
    Abdeljaber, Osama
    et al.
    Qatar University, Qatar.
    Sassi, Sadok
    Qatar University, Qatar.
    Avci, Onur
    Qatar University, Qatar.
    Kiranyaz, Serkan
    Qatar University, Qatar.
    Ibrahim, Abdelrahman
    Qatar University, Qatar.
    Gabbouj, Moncef
    Tampereen University of Technology, Finland.
    Fault Detection and Severity Identification of Ball Bearings by Online Condition Monitoring2019In: IEEE Transactions on Industrial Electronics, ISSN 0278-0046, E-ISSN 1557-9948, Vol. 66, no 10, p. 8136-8147Article in journal (Refereed)
    Abstract [en]

    This paper presents a fast, accurate, and simple systematic approach for online condition monitoring and severity identification of ball bearings. This approach utilizes compact one-dimensional (1-D) convolutional neural networks (CNNs) to identify, quantify, and localize bearing damage. The proposed approach is verified experimentally under several single and multiple damage scenarios. The experimental results demonstrated that the proposed approach can achieve a high level of accuracy for damage detection, localization, and quantification. Besides its real-time processing ability and superior robustness against the high-level noise presence, the compact and minimally trained 1-D CNNs in the core of the proposed approach can handle new damage scenarios with utmost accuracy.

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  • 5.
    Abdou Mahmoud, Amir
    et al.
    Halmstad University, School of Business and Engineering (SET).
    Dahlqvist, Ted
    Halmstad University, School of Business and Engineering (SET).
    Ånghuvud för steamer2010Independent thesis Advanced level (degree of Master (Two Years)), 5 credits / 7,5 HE creditsStudent thesis
    Abstract [en]

    The following report is for CAD-technicians 2nd year.

     

    The task that the report is built on is done in collaboration with Hafa AB. The task is to develop a new steam nozzle for steamers, a sort of combination of steam sauna and a shower. The reasoning behind the development is to make the steam nozzle match with Hafa’s current design and to gain as little wasted water as possible.

     

    There came forth a mutual idea to integrate the steam nozzle into the shower column, during a meeting with Hafa, which we developed further and became the first prototype.

     

    The prototype showed to be a success, even though protection for the steam had to be made since it flowed into the steamer at a rate which was not acceptable, mainly because little water was wasted and because the prototype was just a third of the original steam nozzle’s size.

     

    The method that we used was the same that was used by us during earlier courses in the CAD-technicians programme.

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  • 6.
    Abdul-Jalbar, Beatriz
    et al.
    Dpto. de Matemáticas, Estadística e Investigación Operativa, Universidad de La Laguna, Spain.
    Segerstedt, Anders
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    A note on “A new heuristic for one warehouse and N retailers problem” by Ercan Senyigit and Hakan Akkan in Procedia - Social and Behavioral Sciences, 62, p. 656 – 660, 20122019Manuscript (preprint) (Other academic)
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  • 7.
    Abid, Ali
    et al.
    Mälardalen University, Department of Innovation, Design and Product Development. Mälardalen University, School of Innovation, Design and Engineering.
    Roback, Joel
    Mälardalen University, Department of Innovation, Design and Product Development.
    Produktutveckling för Cate & Nelson Design: Framtagning av möbel2008Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [sv]

    Denna rapport behandlar examensarbete utfört för industridesignföretaget Cate & Nelson Design. Företaget ligger i Eskilstuna och jobbar i huvudsakligen med möbeldesign och inredningsprodukter. Projektgruppensuppgift har varit att ta fram en ny möbel för företaget och arbetet har omfattat utveckling av hela produkten från idé till prototyp.

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  • 8.
    Abrahamsson, Camilla
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Quality Management and Mechanical Engineering.
    Fastén, Emma
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Quality Management and Mechanical Engineering.
    Primärvården under förändring: Upplevelsen av ett digitaliserat arbetssätt2020Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Digital technology offers new ways to meet patients, which is more relevant than ever during thecurrent pandemic. The digitalisation is mainly intended to make healthcare more efficient in orderto treat more patients. Previous research suggests that the human aspect of digitalisation hasreceived less attention than technical issues. The new technology brings new ways for thehealthcare profession to carry out its work. The purpose of this study is to investigate how theemployee experience a digitized work process in a primary care setting.This qualitative study was conducted through semi-structured interviews with six informantswithin a private primary care group in Västernorrland. The Primary care organisation is at thebeginning of their digitization journey and when interviewed, only a few employees had tried howit is like to work digitally. The collected material has been clarified through a content analysisfocusing on the content of three of the cornerstones in the cornerstone model; quality (continuousimprovement), participation and the customer value.The study reveals that the informants feel that a digitized way of working can provide time savingsthrough more effective assessments. At present, however, the new technology is not perceived ascompletely reliable and needs to be improved to function as intended. In the digital work process,the informants believe that the nurse will probably play a more central role. The interviewees alsobelieve that trust in each other, clear roles and that everyone is well informed about what the digitalwork process sustains, is of great importance.

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  • 9.
    Abrahamsson, Camilla
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Quality Technology and Management, Mechanical Engineering and Mathematics.
    Lilja, Johan
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Quality Technology and Management, Mechanical Engineering and Mathematics.
    Hedlund, Christer
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Quality Technology and Management, Mechanical Engineering and Mathematics.
    Towards New Levels of Creating/Improving and Understanding Value in Swedish Municipalities: A Review of Research on Understanding and Creating Value in Municipal Quality Development by Qualitative Approaches (and Co-Creation)2017Conference paper (Refereed)
    Abstract [en]

    Purpose

    Quality management and Lean initiatives are currently widespread in the Swedish municipal sector. It is also made clear that all Lean initiatives should be initiated to benefit the customer and not for internal organizational reasons. However, the practices currently used for understanding value creation in the municipalities tend to focus heavily on the use of numerical, quantitative approaches. In sharp contrast, the growing field of, for example, design thinking argue that qualitative approaches are key when it comes to getting closer to the citizens, establishing new levels of understanding and thereby inspiring new and better solutions. In sum, it seems likely that municipalities are struggling with developing quality due to relying, in too one-sided on the use of quantitative rather than qualitative approaches to understand and spark new levels of value creation. The purpose of this paper is to contribute with a review of research concerning qualitative approaches for understanding and co-creating value in municipal quality development.

     

    Methodology/Approach The paper is based on a literature review.

     

    Findings The paper provides an overview of previous research concerning practices for evaluating and understanding value creation in the context of a municipal quality development.

     

    Value of the paper

    This overview is of value for practitioners within the context, as well as researchers that wants to contribute within this area.

  • 10.
    Abrahamsson, Lena
    et al.
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Human Work Science.
    Kaplan, Alexander
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.
    Johansson, Jan
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Human Work Science.
    Rask, Kjell
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Human Work Science.
    Fältholm, Ylva
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Human Work Science.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Bergquist, Bjarne
    Projekt: LUPO - globala länkar2010Other (Other (popular science, discussion, etc.))
  • 11.
    Abrahamsson, Sten
    et al.
    Gotland University, School of the Humanities and Social Science.
    Isaksson, Raine
    Gotland University, School of the Humanities and Social Science.
    Implementing Lean: Discussing Standardization Versus Customization with Focus on National Cultural Dimensions2012In: Management and Production Engineering Review, ISSN 2082-1344, Vol. 3, no 4, p. 4-13Article in journal (Refereed)
    Abstract [en]

    Lean or Toyota Production System (TPS) has more or less successfully been implemented in the Western world’s businesses and organizations for the past 20 years. Several authors have discussed what it is that creates a successful implementation, and several studies have been presented where strategies for implementations have been studied. Culture’s impact and possible mitigation for Western companies have been studied and described by for example Womak & Jones. Proponents of the concept of Lean argue that culture is not a constraint for implementation of Lean. Lean Management is called a philosophy but it is often used as a change strategy in the sense that it is implemented with the view of improving performance. A change strategy could be seen as a product that might have to be customized with the view of improving the effectiveness of the implementation. On the other hand abandoning a standardized approach comes with the risk of severely altering the change strategy, possibly to its detriment. Implementing Lean will have an effect on the company culture. Does it make any sense customizing the implementation to culture if the issue is changing the culture? The purpose of this paper is to highlight and discuss the balance between a customized implementation and a standardized implementation. Which are the main arguments for standardization and customization and how could these be reconciled? A literature study of Lean implementation has been carried out and compared with Lean principles and theories from change management with focus on change drivers and change barriers. Main drivers of Hofstede’s national cultural dimensions are compared with Lean principles to identify possible drivers and barriers in different cultures. The theory synthesis on drivers and barriers is subjected to a first test in a case study on Lean implementation according to a standardized approach. The implementation is made in a small Swedish factory belonging to a worldwide industrial company. Results from the literature review and the case study indicate that both customization and standardization are needed.

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    Abrahamsson & Isaksson 2012
  • 12.
    Abrahamsson, Sten
    et al.
    Gotland University.
    Tosteby, Jonas
    University West, Department of Engineering Science, Division of Process and Product Development.
    Isaksson, Raine
    Gotland University.
    Integrated Management Systems: testing a model for integration2011In: 14th Toulon-Verona Conference: Organizational Excellence in Service. Conference Proceedings / [ed] Jacques Martin & Claudio Baccarani., Alicante: University of Alicante , 2011, p. 22-35Conference paper (Refereed)
    Abstract [en]

    Management systems are widely used for creating order, minimising risks and for assuring performance. Management systems are in many occasions integrated since this has been found to be beneficial. In this paper a model for a fully integrated management system (IMS) based on the three axes of level, extent and scope of integration is tested for relevance. The studied system permits the integration of all relevant process dimensions. The research is only in a pilot stage, but the initial results are promising and indicate that there are advantages in using the process view as a base for identifying critical aspects to be managed. A review of the current situation for system integration is studied and the model is subjected to some tests using Sweden as a case. The background study shows that system integration still is limited, especially when comparing with a fully integrated IMS. The feedback from the organisations interviewed is positive and supports continued work with development of the model.

  • 13.
    Adle, Tobias
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics.
    Framtagning av metod för analys av livslängdsdata2017Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Husqvarna AB has as of today an extensive research and development department.This department serves to control the active product as well as the upcoming ones.The way that is done is through two different sets of tests. The first one being a longterm endurance test with aimed to unveil the durability of a product. Second and finalsort of test is a more one dimensional one. The aim is to determine different specificunits of interest like for example Newton (N).

    Today the R&D department has a great knowledge within normal distributed data andsomewhat less when it comes to the opposite, so called none normal distributed data.When endurance is of interest the likelihood of that to be of the latter sort is morecommon than not. For now no complete method has been appointed to make iteasier to process a situation of this kind. Studying ever unique case individually, bylooking at the data, has been the way to go. This causes an inconsistency in theanalysis and makes it purely based on which individual that has done it. Lastly it mayalso, unintentionally, ignore the large picture of how a product has progressed.

    To solve these problems this thesis work was put together to propose and conduct amethod. To form this method was an ongoing process throughout the whole thesisperiod. Ideas and thoughts were put forward to be reviewed and discussed. After aseries of tweaks to steer it towards the overall goal the method was finalized. Themethod that was put forward was firmly tested. Also a wide laboration in what themethod actually meant was done.

    The result was a method to be applied on none normal distributed data. This methodhas three parts. The first being the report where everything is embraced. The secondpart is a short manual for an operator to use. Last part is an example where themethod is put to use.

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  • 14.
    Adolfsson, Anton
    Mälardalen University, School of Innovation, Design and Engineering.
    Defining Next.Generation Modular Test Systems for Space Computers using Model-Based Systems Engineering: Defining space data handling test system using MBSE2024Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The increasing complexity of systems and the demand for increasing implemented functionalit-ies within the systems necessitate a paradigm shift in development approaches. While traditionalsystems engineering relies heavily on textual documentation, the future calls for a more stream-lined, digital method such as Model-Based Systems Engineering (MBSE). MBSE utilises models tostore data, mitigating textual ambiguity and providing stakeholders with a unified source of inform-ation. Despite its potential, the adoption of MBSE presents challenges because of the need of newpractitioner skill-sets.

    The thesis investigates the feasibility of implementing an easily adoptable MBSE, using a limitedset of SysML elements and diagrams, approach within the space industry. Through the developmentof guidelines, steps, and goals, a model of an industry-related system is constructed. The createdmodel serves as a demonstration to industry engineers, evaluating the suitability of the proposedguidelines.

    The thesis concludes the need for maturity of MBSE, its tools, and the need for harmonisationwithin the space industry to establish acceptance among the practitioners. These are the crucialpoints where development and refinements are needed to gain the trust and interest of the end usersof the modelling activities and adopting the proposed methods.i   

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  • 15.
    Agélii, Anni
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Quality Management and Mechanical Engineering.
    Skolbibliotekskultur finns det?: En ansats att söka efter gemensamma värderingar i ett urval av erkänt framgångsrika skolbiblioteksverksamheter.2022Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Quality culture is part of the organizational culture and an important part of maintaining or changing an organizational culture is the leadership. In school organizations there are many demands on the content and quality of the activities in terms of laws and governing documents. The systematic quality work must include teachers, other employees, students and their guardians. The person ultimately responsible for the work at the school unit is the school's principal. A state surevey published in 2021 describes the complex function that an effective school library should have. The state survey emphasizes the importance of the principal's leadership in order for the school library to be part of the teaching and that the quality of the school library must be high. The purpose of this the survey is to explore which underlying values are favorable for the school library's quality work. What characterizes the organizational culture of successful school libraries and in what way are they managed and organized. This survey is designed through a qualitative method and has an abductive approach. Empirical data was collected through ten semi-structured interviews. The results showed that even if there is no pronounced work with total quality management in the school libraries inlcuded in this survey, quality culture values are found. In addition to these, a co-leadership based on competence and participation appears. The meaning of leadership becomes an individual and a collective process that requires both leaders, followers and meaning-making context. The work with the school library becomes a clear part of the school's development. The starting point for both the principal and the school librarian is the action plan which is locally designed for the school library.

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  • 16.
    Ahlinder, Anton
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Kritikalitetsanalys på virapressar2019Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    This work was carried out at Ortvikens paper mill in Sundsvall, which produces pulp and paper. Inpulp production, there are several belt filter presses, which is a kind of dryer that squeezes thewater out of the pulp. In order to maintain a high level of availability of the machine equipment,all equipment is classified according to their properties, especially how important they are for therest of the process. This is to include them in a maintenance plan to be able to plan and performefficient maintenance and long-term improvement work on the equipment. In order to be able tocarry out more correct preventive maintenance and continued improvement work, a newinvestigation and classification of three of these belt filter presses is needed. As a part of thisinvestigation, the most common and costly technical faults in the last 13 years are examined. Thenew criticality classification differs from the previous one in a few points, mainly maintenanceand failure rate, which have been overlooked during the prior classification. This has no effect onthe final classification, but it is worth noting in case the classification is used as a basis for otherpurposes. The historical investigation shows that the most common fault is a wire breakdownand that one of the presses that was considered to be broken most often, has actually been justthat. The investigation shows that the new criticality classification gives the same result as theprevious one, but that there are changes in some of the individual criteria. 

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    Kritikalitetsanalys på virapressar
  • 17.
    Ahlkvist, Alvina
    Luleå University of Technology, Department of Social Sciences, Technology and Arts.
    Hur lyckas organisationer implementera ISO 9001?: Ett medarbetarperspektiv2021Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [sv]

    Genom att arbeta med kvalitetsledning kan en organisation ständigt förbättras och bibehålla konkurrenskraft. Ett sätt att arbeta med kvalitetsledning är genom implementering av kvalitetsledningsstandarden ISO 9001. Standarden nämner sju principer, varav en är medarbetarnas engagemang, vilket är essentiellt för organisationer för att lyckas med implementeringen av ISO 9001. Syftet med studien var att undersöka hur organisationer kan lyckas med att implementera ISO 9001 genom att undersöka vilka faktorer som bidrar till medarbetarnas engagemang och hur medarbetares engagemang kan stärkas.

    Litteraturstudier indikerar på flera faktorer som kan ha inverkan på medarbetares engagemang, vilka i sin tur beskrevs kunna påverkas med hjälp av förändringsledning. Med utgångspunkt i den teoretiska referensramen analyserades intervjuer, observationer och enkätundersökning med hjälp av tematisk och multivariat analys. På så sätt kartlades nuläget på fallföretaget. Tillsammans med resultatet från litteraturstudien framkom faktorer som kunde avgöra huruvida medarbetare engagerar sig i implementering av ISO 9001 eller inte.

     

    Av identifierade faktorer var det tre som kunde anses vara särskilt viktiga att hantera, då de antingen kan utgöra en barriär eller en framgångsfaktor för lyckad implementering. Faktorerna utgörs av Medvetenhet, Attityd, Användbarhet, Användarvänlighet och Ansvarskänsla, vilka har betydelse för att organisationer ska ta sig från sitt nuläge till sitt börläge. Nuläget utgör utgångspunkten för organisationen, och börläget representeras av en lyckad implementering: faktisk samt långsiktig användning av kvalitetsledningssystemet.

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  • 18.
    Ahlman, Per-Arne
    Linköping University, Department of Mechanical Engineering, Machine Design.
    Smörjning Av Lager2009Independent thesis Basic level (university diploma), 15 credits / 22,5 HE creditsStudent thesis
    Abstract [en]

    The work thesis was performed at Assalub a company which is situated in Åtvidaberg. The company works with developing, manufacturing and marketing equipment for handling of lubricants for light and heavier industry. The work thesis it is based on a inquiry Assalub got from MacGregor which is a company within cargo solution, from port to offshore system.

    For unloading grain and other material from the ship cargo it is used combined inlet feeder and screw conveyor, there the inlet feeder is drilling down through the cargo and feed the screw conveyer with material to further destination. At the bottom of the screw conveyer and the inlet feeder there is a bearing that keep the parts together. However the lubrication of the bearing must be made manually. Until now the bearing was lubricated manually through a grease nipple from the bottom of the drill once a day.

     

    The purpose of the thesis was the construction of a lubricating system namely a pump with a grease container which should be placed inside the space of the screw conveyer, so the bearing will be continually lubricated and able to work several days without any stoppage.

    After receiving drawings and operating data for the screw conveyer, the details for the construction was designed in CAD system Solid Edge. The solid mechanics calculations on the weakest point on the construction was made by hand and afterwards the drawings for respectively details was made.

    The construction was completed, but because of the time limit for this work thesis, the manufacturing, mounting and testing were not included in these weeks. The grease containers capacity is approximately seventy-two hours, although desirable should be up to seven days. According to the solid mechanics calculations, the construction should have no problem to resist the stresses it would be exposed to.

    Since this is a prototype there is probably some adjustments and improvements to do, but the estimating is that the system should work properly as it is now.

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  • 19.
    Ahlqvist, Marcus
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences.
    Hamad, Gulnaz
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences.
    Kvalitet och processprestanda inom cementindustrins råmjölstillverkning2019Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    During this work, one of Europe's most modern cement factories is studied, with the capacity to produce around 2.6 million tons of cement per year. The purpose of the thesis is to describe the variation in the outcome of raw meal and identify which causes of variation are possible to reduce. Involuntary variations in the quality of the input raw meal can result in a lack of clinker quality, which in turn can result in a significant loss of revenue. The work is based on theories relating to Total Quality Management, process management and cement production. A method combination of quantitative and qualitative methods has been applied for data collection and data analysis, where the quantitative data collection is based on historical data gathered from the reference organization. The conclusions outlined are that the process being studied has the opportunity to perform world-class. The main contributing factor is the method for control where the system lacks control limits that lead to over compensation. Also, material variation in the case of changes of raw material piles is a significant cause of the variance in the raw meal. Provided that the control system is switched on prematurely after a raw material pile change has been carried out, the effect of the change can be worsened. Furthermore, the results indicate that 80% of the total variation in the raw meal’s lime saturation is created by raw material pile changes.

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  • 20. Ahmadi, Alireza
    et al.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Söderholm, Peter
    Risk of operational consequences of aircraft system failure2010In: International Journal of Performability Engineering, ISSN 0973-1318, Vol. 6, no 2, p. 149-158Article in journal (Refereed)
    Abstract [en]

    The purpose of this paper is to describe a methodology for identifying different operational consequences and associated costs caused by aircraft system failure, in order to facilitate and enhance the capability of taking correct and efficient decisions when analyzing the cost-effectiveness of maintenance tasks. The paper focuses on the operational consequences of failures that lead to delay. To identify the operational consequences of aircraft system failures, Empirical studies of possible scenarios involving aircraft failures and their operational consequences for a commercial airline have been performed. Empirical data were extracted through document studies and interviews, guided by the application of an Event Tree Analysis (ETA). In order to effectively utilize the knowledge of field experts in the assessment process, a pairwise comparison technique was adopted for quantifying the contribution of different factors to the operational. The work was performed together with experienced practitioners from both an aircraft manufacturer and commercial airlines, which contributed to a continuous verification of the outcome of the study.The study shows that the proposed methodology based on ETA and pairwise comparison can be used to identify and quantify the cost of operational consequences of failures in aircraft operation, when there is no sufficient and reliable data.

  • 21.
    Ahmadi, Alireza
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Soleimanmeigouni, Iman
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Simulation of railway track geometry and intelligent maintenance planning: [Simulering av järnvägsspårgeometri och intelligent underhållsplanering]2021Report (Other academic)
    Abstract [en]

    Track is the fundamental part of railway infrastructure and represents a significant part of maintenance effort and cost. For example, in Sweden, the annual maintenance cost for only track geometry is between110 and 130 MSEK. The quality of the track, mostly, is represented by the track geometry properties. Track geometry degrades with age and usage; and loses its functionality over time. Poor quality of track geometry may result in safety problems, speed reduction, traffic disruption, greater maintenance cost, and higher degradation rate of the other railway components (e.g. rails, wheels, switches, and crossings). Railway track maintenance program development is challenging and requires appropriate modeling which reflects the real-life scenario and integrates influencing factors. In addition, there are several uncertainties in data collection, data analysis, modeling, and the prediction that are needed to be considered. Moreover, there is a lack of integrated platform that is able to access geometry data, extract associatedinformation, and retain this knowledge for supporting adaptive maintenance planning and scheduling. The above challenges necessitate the Infrastructure Manager (IM) to employ a maintenance management system that enables higher capacity for evaluation of track performance, learning from asset history, context-driven awareness, planning & scheduling, and transformation of this information to knowledge for decision making. The SIMTRACK project will facilitate simulation-based platform that enables development of a tools,methodologies and techniques for optimization of track geometry maintenance planning, scheduling andopportunistic maintenance. This will provide a basis to predict track geometry degradation, analyse therisk of failures and forecast the maintenance activities as well as renewal investment requirements. The results will enhance safety, maximize capacity utilization, and lead to an efficient and cost effective maintenance program. The project structure track is structured into 6 work packages. WP1 deals with the project management. WP2 presentsthe industrial scenarios, specifications and requirements that provide inputs to WP3 and WP4. WP3 andWP4 are defined as predictive modelling and analytics of track geometry condition and trackmaintenance optimization and decision support system respectively. WP5 is dedicated to evaluation ofabsolute track geometry condition. Finally, WP6 deals with dissemination and exploitation, is devotedfor formulating comprehensive plans for results assimilation by the partners and set the ground for theexploitation. Figure 1 shows the work packages and their relationships.

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  • 22.
    Ahmed, Kazi Pushpa
    et al.
    Institute of Business Administration, University of Dhaka, Bangladesh.
    Mourin, Adnin
    Information Systems, Linnaeus University, Sweden.
    Ahmed, Kazi Main Uddin
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
    Application of Predictive Maintenance in Industry 4.0: A Use-Case Study for Datacenters2021In: 2021 3rd International Conference on Sustainable Technologies for Industry 4.0 (STI), IEEE, 2021Conference paper (Refereed)
    Abstract [en]

    In the context of the upcoming 4th generation industrial revolution (industry 4.0), mechanical failures in the cyber-physical systems have huge financial impacts. The IT industry like Google, Facebook, Microsoft, etc. mostly depends on the Datacenters (DCs) to assure the quality of services. The equipment of the DC including the power supply system and the computational resources are sensitive to supplied power quality, thus predictive maintenance is needed to prevent failures and limit financial losses. The predictive maintenance assures operational security based on the monitored data that can characterize the failures of the physical machines, and also ensures the maximum return of the capital investment by prolonging the useful life of the equipment. The size of the monitored data typically occupies large memory space that can compare with “big-data” nowadays. Thus, the big-data-sized monitored data analysis is an additional computational challenge to characterize the failures of physical machines, hence, schedule the predictive maintenance. However, characterizing the failure and repair time of the major components based on the measured data is still a challenge that is the goal of this paper. Meanwhile, the revenue of the business also largely depends on the accuracy of predictive maintenance in general. In this paper, a predictive maintenance approach is presented based on the stochastic failure time of the major components of the DC. Additionally, the business challenges for predictive maintenance considering industry 4.0 are also analyzed in this paper.

  • 23.
    Ahmer, Muhammad
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements. AB SKF.
    Intelligent fault diagnosis and predictive maintenance for a bearing ring grinder2023Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Predicting the failure of any structure is a difficult task in a mechanical system. However complicated and difficult the prediction might be, the first step is to know the actual condition of the system. Given the complexity of any machine tool, where a number of subsystems of electro-mechanical structures interact to perform the machining operation, failure diagnostics become more challenging due to the high demand for performance and reliability. In a production environment, this results in maintenance costs that the management always strives to reduce. Condition-based machine maintenance (CBM) is considered to be the maintenance strategy that can lead to failure prediction and reducing the maintenance cost by knowing the actual condition of the asset and planning the maintenance activities in advance.

    Grinding machines and grinding processes have come a long way since the inception of the centuries old grinding technique. However, we still have a number of challenges to overcome before a completely monitored and controlled machine and process can be claimed. One such challenge is to achieve a machine level CBM and predictive maintenance (PdM) setup which is addressed in this thesis. A CBM implementation framework has been proposed which combines the information sampled from sensors installed for the purpose of the process as well as condition monitoring. Accessing the machine's controller information allows the data to be processed with respect to different machine states and process stages. The successful implementation is achieved through a real-time and synchronized data acquisition setup that allows data from multiple sources to be acquired, stored, and consolidated. The dataset thus generated is used in a significant part of this project and is also published in Swedish National Data Service (SND).

    The thesis also presents the failure diagnostic model based on two step classification approach using benchmarked random forest models. The binary classifier predicts if there is a fault present in the machine based on crucial sensors data from the Idle segment of the grinding cycle. Multi-class random forest classifier diagnosis the fault condition. PdM, knowing when to trigger maintenance action, is achieved through predicting the overall quality of the produced parts from the feature set extracted from sensor data of the Spark-out segment of the grinding cycle. Combining fault diagnosis with the predicted quality information resulted in reliable and actionable maintenance decisions for the bearing ring grinder. The demonstrated setup, based on a production bearing ring grinder, is adaptable to similar machines in production.

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  • 24.
    Ahmer, Muhammad
    et al.
    AB SKF, Gothenburg, Sweden.
    Marklund, Pär
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.
    Gustafsson, Martin
    AB SKF, Gothenburg, Sweden.
    Berglund, Kim
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.
    Integration of process monitoring and machine condition diagnostics to improve quality prediction in grinding2021In: 9th CIRP Conference on High Performance Cutting / [ed] Erdem Ozturk; David Curtis; Hassan Ghadbeigi, Elsevier, 2021, p. 170-173Conference paper (Refereed)
    Abstract [en]

    Bearing ring grinding incorporates sensors to control the grinding cycle in real time. Prediction of output quality is difficult due to the complex combination of process settings and machine characteristics. Causal relationship of machine performance with varying operating conditions was studied with reference to the produced quality by adding condition monitoring setup to the machine. Data driven diagnostics of machine condition through integration of condition and process monitoring sensor data at the completion of the grinding cycle improves quality cognisance. This can be used to tune control parameters to achieve more predictable quality in successive cycles.

  • 25.
    Ahmer, Muhammad
    et al.
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements. AB SKF, Gothenburg, Sweden.
    Sandin, Fredrik
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
    Marklund, Pär
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.
    Gustafsson, Martin
    AB SKF, Gothenburg, Sweden.
    Berglund, Kim
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.
    Dataset Concerning the Process Monitoring and Condition Monitoring Data of a Bearing Ring Grinder2022Data set
    Abstract [en]

    In the manuscript, we have investigated the effective use of sensors in a bearing ring grinder for failure classification in the condition-based maintenance context. The proposed methodology combines domain knowledge of process monitoring and condition monitoring to successfully achieve failure mode prediction with high accuracy using only a few key sensors. This enables manufacturing equipment to take advantage of advanced data processing and machine learning techniques.

    The grinding machine is of type SGB55 from Lidköping Machine Tools and is used to produce functional raceway surface of inner rings of type SKF-6210 deep groove ball bearing. Additional sensors like vibration, acoustic emission, force, and temperature sensors are installed to monitor machine condition while producing bearing components under different operating conditions. Data is sampled from sensors as well as the machine's numerical controller during operation. Selected parts are measured for the produced quality.

  • 26.
    Ahmer, Muhammad
    et al.
    Manufacturing and Process Development, AB SKF, Gothenburg, Sweden.
    Sandin, Fredrik
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
    Marklund, Pär
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.
    Gustafsson, Martin
    Manufacturing and Process Development, AB SKF, Gothenburg, Sweden.
    Berglund, Kim
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.
    Failure mode classification for condition-based maintenance in a bearing ring grinding machine2022In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 122, p. 1479-1495Article in journal (Refereed)
    Abstract [en]

    Technical failures in machines are major sources of unplanned downtime in any production and result in reduced efficiency and system reliability. Despite the well-established potential of Machine Learning techniques in condition-based maintenance (CBM), the lack of access to failure data in production machines has limited the development of a holistic approach to address machine-level CBM. This paper presents a practical approach for failure mode prediction using multiple sensors installed in a bearing ring grinder for process control as well as condition monitoring. Bearing rings are produced in a set of 7 experimental runs, including 5 frequently occurring production failures in the critical subsystems. An advanced data acquisition setup, implemented for CBM in the grinder, is used to capture information about each individual grinding cycle. The dataset is pre-processed and segmented into grinding cycle stages before time and frequency domain feature extraction. A sensor ranking algorithm is proposed to optimize feature selection for failure classification and the installation cost. Random forest models, benchmarked as best performing classifiers, are trained in a two-step classification framework. The presence of failure mode is predicted in the first step and the failure mode type is identified in the second step using the same feature set. Defining the feature set in the failure detection step improves the predictor generalization with the classifiers’ performance accuracy of 99%99% on the test dataset. The presented approach demonstrates an efficient failure mode classification by selecting crucial sensors resulting in a cost-effective CBM implementation in a bearing ring grinder.

  • 27.
    Ahmer, Muhammad
    et al.
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements. Manufacturing and Process Development, AB SKF, 415 50 Gothenburg, Sweden.
    Sandin, Fredrik
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
    Marklund, Pär
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.
    Gustafsson, Martin
    Manufacturing and Process Development, AB SKF, 415 50 Gothenburg, Sweden.
    Berglund, Kim
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.
    Using Multivariate Quality Statistic for Maintenance Decision Support in a Bearing Ring Grinder2022In: Machines, E-ISSN 2075-1702, Vol. 10, no 9, article id 794Article in journal (Refereed)
    Abstract [en]

    Grinding processes’ stochastic nature poses a challenge in predicting the quality of the resulting surfaces. Post-production measurements for form, surface roughness, and circumferential waviness are commonly performed due to infeasibility in measuring all quality parameters during the grinding operation. Therefore, it is challenging to diagnose the root cause of quality deviations in real-time resulting from variations in the machine’s operating condition. This paper introduces a novel approach to predict the overall quality of the individual parts. The grinder is equipped with sensors to implement condition-based maintenance and is induced with five frequently occurring failure conditions for the experimental test runs. The crucial quality parameters are measured for the produced parts. Fuzzy c-means (FCM) and Hotelling’s T-squared (T2) have been evaluated to generate quality labels from the multi-variate quality data. Benchmarked random forest regression models are trained using fault diagnosis feature set and quality labels. Quality labels from the T2 statistic of quality parameters are preferred over FCM approach for their repeatability. The model, trained from T2 labels achieves more than 94% accuracy when compared to the measured ring disposition. The predicted overall quality using the sensors’ feature set is compared against the threshold to reach a trustworthy maintenance decision.

  • 28.
    Ahxner, Johan
    et al.
    Jönköping University, School of Engineering, JTH, Industrial Engineering and Management.
    Axklo, Samuel
    Jönköping University, School of Engineering, JTH, Industrial Engineering and Management.
    Införande av Lean Administration i utfallsprovsprocessen2013Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    This thesis concerns implementation of Lean Administration within administrative support-processes. The thesis examines how tools of Lean can contribute to the standardizing of documents and the handling of documents in order to eliminate waste. In addition, quality assurance and higher efficiency are obtained while it is possible to reach a higher capacity for value-adding activities. The empirical findings are based on action research conducted at a trading company where the supporting handling of documents concerning initial samples was studied closely.

    The background to this study can be traced to the increased global competition which has brought more companies to work with improvements to a larger extent. More companies have also decided to outsource parts of their operations to be able to focus on their core competencies. As an effect of this trend, different new actors have specialized in other areas than production. When there is no production to make more efficient, these companies have directed their work with improvements to other areas, such as the administration.

    The purpose with this thesis is to; based on Lean Administration, give suggestions for a new handling system of documents concerning the support processes for initial samples. The result of this work culminates into a proposal which is presented as a template created in Excel. The template has been created during the work with the thesis and it is built with support from principles and tools from Lean Administration. The Excel template is made to replace current documents in the specific administrative process and by doing that, contribute to standardization and increased efficiency to the work with initial samples. The template also creates options to treat customers’ different needs and it also increases quality through a built-in fail proofing feature.

    The template can be considered to be generalized and possible to implement at different companies working with initial samples. However, it may be required to change the graphical layout to company-specific needs.

    Towards the end of the writing process thoughts about developing the Excel template to a total quality document was raised. This document could contain all information concerning quality for a specific article. This idea gives opportunity for further work.

    Suggestions for further research within Lean Administration are given since there is still a lot to investigate within the field. The way the research was conducted, by viewing the work processes with Lean-glasses, can be generalized and applied to other areas than the processes concerning initial samples.

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  • 29. Akersten, Per-Anders
    et al.
    Klefsjö, Bengt
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Dependability management as a management system based on core values, methodologies and tools2001In: Safety and reliability: towards a safer world : proceedings of the European Conference and Reliability, ESRel 2001, Torino, Italy 16 - 20 September / [ed] Enrico Zio ; Micaela Demichela; Norberto Piccinini, Torino: Politecnica , 2001, p. 245-252Conference paper (Refereed)
  • 30.
    Akram, Hoger
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Quality Management and Mechanical Engineering.
    Hur påverkar ledares beteende medarbetares arbetstillfredsställelse och arbetsmotivation?2019Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    The employee's job satisfaction has received increasing attention from both researchers and employers. The majority of nowadays organizations executing continuously various surveys to find out how satisfied employees are with their tasks, work environment and development opportunities. Although that there are not many research studies that specifically show how leadership behaviours can affect employees job satisfaction, there is many studies that indicates there is a correlation between them.

     

    The purpose of this study is, to contribute to a better understanding of how different leadership behaviours can affect employee’s satisfaction and work motivation at the work. The quantitative research method has been applied, to address the relation between these subjects. Furthermore, the study has been carried out using a selection method known as snowball selection. The selection method has been an effective method for achieving many participants, which is an important parameter for statistical analysis. Total 306 employees from different companies with different work roles participated in the survey. However, the result of the study is based on 301 employees, since five of the participants were excluded during the analysis due to a lack of answers in the survey.

    The result of this study shows that leadership behaviours which concern employee participation, positive communication, employee development, social responsibility and empathy covary with employees work satisfaction and motivation. This means leadership behaviours have a significant impact on employees job satisfaction, which in turn impact employee work motivation.

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  • 31.
    Al Choueyri, Yousef
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Fayazi, Mojtaba
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Digital models of manufacturing: with emphasis on titanium welding for early product development2019Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    This thesis work is part of the BTH research lab, focusing on developing the early product development, by analyzing how to integrate the manufacturing process with the early design process. A known problem in the manufacturing industry is the knowledge gap between the designers and the manufacturing process. Where in the early stages of the product development a knowledge regarding the manufacture process is needed. This is in many cases ignored by the designers because it is commonly thought that the responsibility of selecting the manufacturing processes for a product falls upon the manufacturers, despite the fact that the manufacturing processes in reality is highly dependent upon the design choses such as materials, size, shape, finishing and tolerances of the product. To mitigate this problem a variations of product ‘team’ approaches have been used where the idea is to involve a multitude of people with the necessary experience to produce a ‘production friendly product’. Those approaches have a few drawbacks mainly the problem of finding people with the relevant experiences or that the expertise only covers the manufacturing processes already used in the organization, losing the opportunity to benefit from any alternative manufacturing process.

    This thesis focuses on how the welding manufacturing technic, analysis can be integrated into the design process with the help of a digital model?

    To improve the communications between the manufacturers and designers, two excel files were developed. The first excel file aimed at the manufacturers where they can present the specific machines used in the workshop. Focusing on specific machine and workshops instead of on the general welding method will give the designers a better understanding of the feasibility of producing their design in a specific workshop instead of focusing on a specific manufacturing method.

    The second excel file is aimed at calculating and comparing the weld methods where the cost and requirements are derived for general welding methods and compared with the machine specifications gathered from the manufacturers using the first excel file. To assess the excel files, a parametrized CAD model of the rear engine turbine structure was developed, and three different cases were used to evaluate the developed excel files.

    The values used are presented in Appendix A: Table 11–15, and were gathered from public sources. Values were also approximated using regression analysis.

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  • 32.
    Al Zagnonn, Mohammed
    Luleå University of Technology, Department of Social Sciences, Technology and Arts.
    Tillämpning av Partial Least Squares för analys och processövervakning av Hybrits reduktionsprocess2023Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Hybrit development AB strives to produce fossil-free steel by using hydrogen for the direct reduction process of iron ore pellets. To achieve that goal, Hybrit has carried out experimental campaigns where the feasibility of direct reduction using hydrogen gas has been investigated and studied. The quality of the reduced iron must be considered when producing iron and steel. The reduction process is characterized by a variety of process- and quality parameters. Because the quality parameters describe the quality of the product, it is of interest to study how the process parameters affect the quality parameters. The process parameters can be measured at any time through various sensors around the reactor in which the iron ore pellets are reduced. While the quality of the product can only be determined after the iron ore pellets have been completely reduced. Therefore, the process is characterized by a time delay between the measurement of the process parameters and the measurement of the quality parameters, where the reduced iron must be analyzed in a laboratory before the quality parameters can be measured. Because of the time delay, it is of interest to be able to predict the quality of the product based on the process parameters. If it is possible to predict the quality, then it is of importance to be able to determine the validity of the prediction. 

    The aim of this master thesis is to identify how the reduction process parameters affect the quality parameters of the reduced iron. A process monitoring method suitable for monitoring the process need be tested and investigated based on how the method can be used to determine the validity of the prediction. The process monitoring will be used to determine whether the process is in a process state that contributes to a reasonably accurate and appropriate prediction of the quality of the product. 

    65 process parameters and 6 quality parameters were used for the analysis of how the reduction process parameters affect the quality parameters of the reduced iron. The multivariate analysis method Partial Least Squares (PLS) was used to achieve the aim of the thesis. A multivariate model which could describe how the process parameters affect the quality parameters was created through PLS. The PLS-model was able to predict the quality parameters reasonably correctly and appropriately, given that the process is within the scope of the model and that the explanatory power is high for the quality parameter that is predicted. The quality parameter Y6-1 could not be predicted reasonably correct as the explanatory power for Y6-1 was low. The process monitoring method tested and investigated was PLS monitoring. Three process monitoring tools were used when PLS monitoring was investigated based on how they can be used to determine the validity of the prediction. These tools were X-scores process monitoring, Hotelling T2 and SPE. The result was that PLS monitoring could indicate how the process relates to the model. Observations that deviated in the PLS monitoring could not be predicted correctly. Thus, information about the validity of the prediction through PLS monitoring could be obtained. Applying PLS monitoring to determine the validity of the prediction is a greater success. This is because information about the quality of the product before the reduction process is completed can be used to ensure production with a satisfactory product quality. Applying multivariate process monitoring methods to monitor the predicted quality parameters may be of interest for future studies. This is because the process monitoring can be used to minimize the internal variation of the quality parameters.

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  • 33.
    Alamerison, Seif
    et al.
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Tarek, Karzan
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Samverkanspelare i icke bärande fasadelement2009Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Abstract

    The tests work is about the subject "synergism of steel and concrete."

    The construction sector is in a strong competition and the different companies in the Prefab

    Market has ever tried to develop new design solutions that are efficient and environmentallyfriendly.

    The purpose of this report is to highlight different aspects of interaction and size up a columndimension and to examine its efficiency and load capacity as Eurocode 3 and Eurocode 4. A sizing chart that describes the relationship between the torque and normal force shouldalso be made of the interaction .

     

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  • 34.
    Aldenlöv, Jens
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences.
    Exploring Public Procurement of Swedish Railway Infrastructure Maintenance2019Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    In 2002, Sweden started to outsource its railway infrastructure maintenance. Through gradual exposure (i.e. outsourcing one contract area at a time), the Swedish Transport Administration has developed its competence of being a client towards its contractors. The last contract was outsourced in 2014. In the last decade, the development of governance techniques and maintenance cost has not matched the increase in traffic. Due to an increased awareness in environmentally friendlier transportation, traffic is only expected to increase further in the coming years. Governance techniques and maintenance cost ultimately depends on the client-contractor relationship through public procurement. Hence, there is a need to understand public procurement of railway infrastructure maintenance. Therefore, the purpose of this thesis is to contribute to the knowledge of public procurement of railway infrastructure maintenance. Three separate studies were conducted. Study 1 was a literature review to explore and determine the state-of-the-art for the field of public procurement of railway maintenance. Study 2 was a linear regression analysis to examine the relationship between contract design and the output of maintenance in Sweden. Study 3 was an interview study in Sweden that explored what factors that supports or hinders collaboration in railway maintenance.

    The main results of these studies are that asset knowledge is important for both the client and the contractor. Through reliable asset knowledge, incentives and contracts can be designed to support governance and collaboration. Today, railway infrastructure maintenance is dominated by informal relationships that lack the support of formal partnering activities. When an informal relationship is supported by a formal structure it provides a basis for innovation. This formal structure should be centralized around gaining and sharing asset knowledge. By establishing such a system to increase the asset knowledge and supporting collaboration, public organizations of maintenance can provide a basis for the improvement of maintenance.

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  • 35.
    Aldenlöv, Jens
    Luleå University of Technology, Department of Social Sciences, Technology and Arts, Business Administration and Industrial Engineering.
    Public Procurement of Railway Infrastructure Maintenance:A Linear Regression Analysis2019In: Operations Adding Value to Society: 26th EurOMA Conference Proceedings / [ed] Kovács, Gyöngyi; Kuula, Markku, 2019Conference paper (Refereed)
    Abstract [en]

    Swedish railway infrastructure maintenance has been outsourced through gradualexposure since 2002. The idea behind outsourcing was to reduce cost and improveefficiency. However, railway maintenance cost has increased faster than railwaymaintenance operations, resulting in neglected railway maintenance. Since railwayoperation is governed by the contract design the purpose of this paper was to explore therelationship between contract design and maintenance outcome within Swedish railwayinfrastructure maintenance. To explore this relationship linear regression analysis wasused. The result indicates that asset knowledge and accessibility to the track areimportant to consider for improving maintenance operations.

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  • 36.
    Aldenlöv, Jens
    et al.
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Bergquist, Bjarne
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Eriksson, Per-Erik
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.
    Söderholm, Peter
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Gustavsson Kärrbom, Tina
    KTH, Depteartment of Real Estate & Construction Management.
    Public procurement of railway infrastructure maintenance: a literature review2017In: Proceedings of the 9th Nordic Conference on Construction Economics and Organization / [ed] Buser, M; Lindahl, G; Raisanen, C, Lyngby: Polyteknisk Boghandel og Forlag, 2017, p. 10-21Conference paper (Refereed)
    Abstract [en]

    The maintenance of railway infrastructure has in several instances been changed from government-based to being based on public procurement, with varying degrees of flexibility for the contractor to design their maintenance work. The purpose of-giving contractors a larger freedom of choice of how to perform maintenance is to stimulate them to innovate and develop their maintenance processes. Since the contracts differ in between and there are changes in government policies over time that affects both existing and new contracts, a comparison between different contracts becomes challenging. A literature review has been conducted to understand the change in procurement strategy and how to encourage contractors to innovate. The research questions include: What procurement strategies are there? How is maintenance evaluated? How does procurement affect the innovation opportunities for entrepreneurs? The literature review focuses on railway maintenance and contract design between client and contractor. In total, 17 articles matched the search criteria and were selected for the review. To have successful maintenance service, five articles suggested partnering as a strategy with common goals in combination with good communication during the entirety of the contract. When selecting incentive plan, four articles mentions that a focus on performance-based incentives in combination with risk management is better rather than actual payment schemes. The reason being that payment is often the main cause of conflicts between client and contractor. The scientific literature suggests that improvement in incentives improves quality of maintenance, decreases delays and technical failures. The conclusion from the literature review is that partnering in railway maintenance is considered successful. With accurate knowledge about railway assets the incentive plan becomes accurate which reduces costs. The literature review is a part of a research project with an overall goal to develop a model to guide the selection of appropriate type of procurement strategy, contract and control of maintenance for a more sustainable railway system.

  • 37.
    Aldenlöv, Jens
    et al.
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Bergquist, Bjarne
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Eriksson, Per-Erik
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.
    Söderholm, Peter
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Karrbom Gustavsson, Tina
    KTH Royal Institute of Technology, Real Estate and Construction Management .
    Public procurement of railway infrastructuremaintenance: a literature review2017Conference paper (Refereed)
    Abstract [en]

    The maintenance of railway infrastructure has in several instances been changed from government-based to being based on public procurement, with varying degrees of flexibility for the contractor to design their maintenance work. The purpose of-giving contractors a larger freedom of choice of how to perform maintenance is to stimulate them to innovate and develop their maintenance processes. Since the contracts differ in between and there are changes in government policies over time that affects both existing and new contracts, a comparison between different contracts becomes challenging. A literature review has been conducted to understand the change in procurement strategy and how to encourage contractors to innovate. The research questions include: What procurement strategies are there? How is maintenance evaluated? How does procurement affect the innovation opportunities for entrepreneurs?

    The literature review focuses on railway maintenance and contract design between client and contractor. In total, 17 articles matched the search criteria and were selected for the review. To have successful maintenance service, five articles suggested partnering as a strategy with common goals in combination with good communication during the entirety of the contract. When selecting incentive plan, four articles mentions that a focus on performance-based incentives in combination with riskmanagement is better rather than actual payment schemes. The reason being that payment is often themain cause of conflicts between client and contractor. The scientific literature suggests that improvement in incentives improves quality of maintenance, decreases delays and technical failures. The conclusion from the literature review is that partnering in railway maintenance is considered successful. With accurate knowledge about railway assets the incentive plan becomes accurate which reduces costs.

    The literature review is a part of a research project with an overall goal to develop a model to guide the selection of appropriate type of procurement strategy, contract and control of maintenance for a moresustainable railway system.

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  • 38.
    Al-Douri, Yamur
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Two-Level Multi-Objective Genetic Algorithm for Risk-Based Life Cycle Cost Analysis2019Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Artificial intelligence (AI) is one of the fields in science and engineering and encompasses a wide variety of subfields, ranging from general areas (learning and perception) to specific topics, such as mathematical theorems. AI and, specifically, multi-objective genetic algorithms (MOGAs) for risk-based life cycle cost (LCC) analysis should be performed to estimate the optimal replacement time of tunnel fan systems, with a view towards reducing the ownership cost and the risk cost and increasing company profitability from an economic point of view. MOGA can create systems that are capable of solving problems that AI and LCC analyses cannot accomplish alone.

    The purpose of this thesis is to develop a two-level MOGA method for optimizing the replacement time of reparable system. MOGA should be useful for machinery in general and specifically for reparable system. This objective will be achieved by developing a system that includes a smart combination of techniques by integrating MOGA to yield the optimized replacement time. Another measure to achieve this purpose is implementing MOGA in clustering and imputing missing data to obtain cost data, which could help to provide proper data to forecast cost data for optimization and to identify the optimal replacement time.

    In the first stage, a two-level MOGA is proposed to optimize clustering to reduce and impute missing cost data. Level one uses a MOGA based on fuzzy c-means to cluster cost data objects based on three main indices. The first is cluster centre outliers; the second is the compactness and separation ( ) of the data points and cluster centres; the third is the intensity of data points belonging to the derived clusters. Level two uses MOGA to impute the missing cost data by using a valid data period from that are reduced data in size. In the second stage, a two-level MOGA is proposed to optimize time series forecasting. Level one implements MOGA based on either an autoregressive integrated moving average (ARIMA) model or a dynamic regression (DR) model. Level two utilizes a MOGA based on different forecasting error rates to identify proper forecasting. These models are applied to simulated data for evaluation since there is no control of the influenced parameters in all of the real cost data. In the final stage, a two-level MOGA is employed to optimize risk-based LCC analysis to find the optimal replacement time for reparable system. Level one uses a MOGA based on a risk model to provide a variation of risk percentages, while level two uses a MOGA based on an LCC model to estimate the optimal reparable system replacement time.

    The results of the first stage show the best cluster centre optimization for data clustering with low  and high intensity. Three cluster centres were selected because these centres have a geometry that is suitable for the highest data reduction of 27%. The best optimized interval is used for imputing missing data. The results of the second stage show the drawbacks of time series forecasting using a MOGA based on the DR model. The MOGA based on the ARIMA model yields better forecasting results. The results of the final stage show the drawbacks of the MOGA based on a risk-based LCC model regarding its estimation. However, the risk-based LCC model offers the possibility of optimizing the replacement schedule.

    However, MOGA is highly promising for allowing optimization compared with other methods that were investigated in the present thesis.

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  • 39.
    Al-Douri, Yamur K.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Two-Level Multi-Objective Genetic Algorithm for Risk-Based Life Cycle Cost Analysis2019Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Artificial intelligence (AI) is one of the fields in science and engineering and encompasses a wide variety of subfields, ranging from general areas (learning and perception) to specific topics, such as mathematical theorems. AI and, specifically, multi-objective genetic algorithms (MOGAs) for risk-based life cycle cost (LCC) analysis should be performed to estimate the optimal replacement time of tunnel fan systems, with a view towards reducing the ownership cost and the risk cost and increasing company profitability from an economic point of view. MOGA can create systems that are capable of solving problems that AI and LCC analyses cannot accomplish alone.

    The purpose of this thesis is to develop a two-level MOGA method for optimizing the replacement time of reparable system. MOGA should be useful for machinery in general and specifically for reparable system. This objective will be achieved by developing a system that includes a smart combination of techniques by integrating MOGA to yield the optimized replacement time. Another measure to achieve this purpose is implementing MOGA in clustering and imputing missing data to obtain cost data, which could help to provide proper data to forecast cost data for optimization and to identify the optimal replacement time.

    In the first stage, a two-level MOGA is proposed to optimize clustering to reduce and impute missing cost data. Level one uses a MOGA based on fuzzy c-means to cluster cost data objects based on three main indices. The first is cluster centre outliers; the second is the compactness and separation ( ) of the data points and cluster centres; the third is the intensity of data points belonging to the derived clusters. Level two uses MOGA to impute the missing cost data by using a valid data period from that are reduced data in size. In the second stage, a two-level MOGA is proposed to optimize time series forecasting. Level one implements MOGA based on either an autoregressive integrated moving average (ARIMA) model or a dynamic regression (DR) model. Level two utilizes a MOGA based on different forecasting error rates to identify proper forecasting. These models are applied to simulated data for evaluation since there is no control of the influenced parameters in all of the real cost data. In the final stage, a two-level MOGA is employed to optimize risk-based LCC analysis to find the optimal replacement time for reparable system. Level one uses a MOGA based on a risk model to provide a variation of risk percentages, while level two uses a MOGA based on an LCC model to estimate the optimal reparable system replacement time.

    The results of the first stage show the best cluster centre optimization for data clustering with low  and high intensity. Three cluster centres were selected because these centres have a geometry that is suitable for the highest data reduction of 27%. The best optimized interval is used for imputing missing data. The results of the second stage show the drawbacks of time series forecasting using a MOGA based on the DR model. The MOGA based on the ARIMA model yields better forecasting results. The results of the final stage show the drawbacks of the MOGA based on a risk-based LCC model regarding its estimation. However, the risk-based LCC model offers the possibility of optimizing the replacement schedule.

    However, MOGA is highly promising for allowing optimization compared with other methods that were investigated in the present thesis.

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    fulltext
  • 40.
    Al-Douri, Yamur K.
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Al-Chalabi, Hussan
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Lundberg, Jan
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Time Series Forecasting using Genetic Algorithm: A Case Study of Maintenance Cost Data For Tunnel Fans2018In: ADVCOMP 2018: The Twelfth International Conference on Advanced Engineering Computing and Applications in Sciences / [ed] Claus-Peter Rückemann; Ahmad Rafi Qawasmeh, International Academy, Research and Industry Association (IARIA) , 2018, p. 4-9Conference paper (Refereed)
    Abstract [en]

    Time series forecasting is widely used as a basis for economic planning, production planning, production control and optimizing industrial processes. The aim of this study has been to develop a novel two-level Genetic Algorithm (GA) to optimize time series forecasting in order to forecast cost data for fans used in road tunnels by the Swedish Transport Administration (Trafikverket). The first level of the GA is responsible for the process of forecasting time series cost data, while the second level evaluates the forecasting. The first level implements GA based on the Autoregressive integrated moving average (ARIMA) model. The second level utilizes a GA based on forecasting error rate to identify a proper forecasting. The results show that GA based on the ARIMA model produces better forecasting results for the labor cost data objects. It was found that a multi-objective GA based on the ARIMA model showed an improved performance. The forecasted data can be used for Life cycle cost (LCC) analysis.

  • 41.
    Al-Douri, Yamur K.
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Hamodi, Hussan
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Zhang, Liangwei
    Department of Industrial Engineering, School of Mechanical Engineering, Dongguan University of Technology, 523808 Dongguan, China.
    Data clustering and imputing using a two-level multi-objective genetic algorithms (GA): A case study of maintenance cost data for tunnel fans2018In: Cogent Engineering, E-ISSN 2331-1916, Vol. 5, no 1, p. 1-16, article id 1513304Article in journal (Refereed)
    Abstract [en]

    Data clustering captures natural structures in data consisting of a set of objects and groups similar data together. The derived clusters can be used for scale analysis and to posit missing data values in objects, as missing data have a negative effect on the computational validity of models. This study develops a new two-level multi-objective genetic algorithm (GA) to optimize clustering in order to redact and impute missing cost data for fans used in road tunnels by the Swedish Transport Administration (Trafikverket). The first level uses a multi-objective GA based on fuzzy c-means to cluster cost data objects based on three main indices. The first is cluster centre outliers; the second is the compactness and separation ( ) of the data points and cluster centres; the third is the intensity of data points belonging to the derived clusters. Our clustering model is validated using k-means clustering. The second level uses a multi-objective GA to impute the missing cost redacted data in size using a valid data period. The optimal population has a low , 0.1%, and a high intensity, 99%. It has three cluster centres, with the highest data reduction of 27%. These three cluster centres have a suitable geometry, so the cost data can be partitioned into relevant contents to be redacted for imputing. Our model show better clustering detection and evaluation compared with k-means. The amount of missing data for the two cost objects are: labour 57%, materials 81%. The second level shows highly correlated data (R-squared 0.99) after imputing the missing data objects. Therefore, multi-objective GA can cluster and impute data to derive complete data that can be used for better estimation of forecasting.

  • 42.
    Al-Douri, Yamur K.
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Hamodi, Hussan
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Zhang, Liangwei
    Department of Industrial Engineering, School of Mechanical Engineering, Dongguan University of Technology, 523808 Dongguan, China.
    Data clustering and imputing using a two-level multi-objective genetic algorithms (GA): A case study of maintenance cost data for tunnel fans2018In: Cogent Engineering, E-ISSN 2331-1916, Vol. 5, no 1, p. 1-16, article id 1513304Article in journal (Refereed)
    Abstract [en]

    Data clustering captures natural structures in data consisting of a set of objects and groups similar data together. The derived clusters can be used for scale analysis and to posit missing data values in objects, as missing data have a negative effect on the computational validity of models. This study develops a new two-level multi-objective genetic algorithm (GA) to optimize clustering in order to redact and impute missing cost data for fans used in road tunnels by the Swedish Transport Administration (Trafikverket). The first level uses a multi-objective GA based on fuzzy c-means to cluster cost data objects based on three main indices. The first is cluster centre outliers; the second is the compactness and separation ( ) of the data points and cluster centres; the third is the intensity of data points belonging to the derived clusters. Our clustering model is validated using k-means clustering. The second level uses a multi-objective GA to impute the missing cost redacted data in size using a valid data period. The optimal population has a low , 0.1%, and a high intensity, 99%. It has three cluster centres, with the highest data reduction of 27%. These three cluster centres have a suitable geometry, so the cost data can be partitioned into relevant contents to be redacted for imputing. Our model show better clustering detection and evaluation compared with k-means. The amount of missing data for the two cost objects are: labour 57%, materials 81%. The second level shows highly correlated data (R-squared 0.99) after imputing the missing data objects. Therefore, multi-objective GA can cluster and impute data to derive complete data that can be used for better estimation of forecasting.

  • 43.
    Alexandra Markovic, Markovic
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering.
    Arvid, Edforss
    Jönköping University, School of Engineering, JTH, Mechanical Engineering.
    An evaluation of current calculations for safety stock levels2017Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
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  • 44.
    Alexopoulos, Kosmas
    et al.
    University of Patras, Greece.
    Hribrenik, KarlBIBA - University of Bremen, Germany.Surico, MicheleFidia S.p.A., Italy.Nikolakis, NikolaosUniversity of Patras, Greece.Al-Najjar, BasimLinnaeus University, Faculty of Technology, Department of Mechanical Engineering.Keraron, YvesISADEUS, France.Duarte, MarcoINOVA+, Portugal.Zalonis, AndreasIntrasoft, Greece.Makris, SotirisLMS, Greece.
    Predictive maintenance technologies for production systems: A roadmap to development and implementation.2021Collection (editor) (Refereed)
    Abstract [en]

    High added-value products manufacturing methods are undergoing a continuous evolution nowadays, aiming to get higher productivity rates, product quality and reduction of defective products. Manufacturing companies increasingly use condition monitoring solutions and Predictive Maintenance (PdM) solutions to guarantee the intended usage of production equipment and to avoid unplanned downtimes. As such, this white paper presents a review of the lessons learned from the point of view of six EU funded H2020 research projects (PRECOM, PROPHESY, PROGRAMS, SERENA, UPTIME and Z-BREAK), funded under the topic “FOF-09-2017 - Novel design and PdM technologies for increased operating life of production systems”. These projects were active from 2017 to 2021 and together constituted the ForeSee cluster. Research and technology partners together with industrial end-users worked collaboratively to develop and deploy solutions that advance maintenance practice in industry towards more efficient, sustainable, human-centric and resilient factories. This white paper aims to share knowledge, vision and lessons learnt by ForeSee cluster partners on the topic of PdM, as well as to provide recommendations for advancing PdM in industrial practice. The core target groups of this report are industry practitioners, people in academia and policy makers at the local, national and EU levels.  The technologies that have acted as key-enablers in several of the ForeSee cluster projects (such as Internet of Things, Digital Twin, Proactive Computing, Virtual/Augmented Reality and linked data) are discussed in this document. Furthermore, the skilling of personnel, as well as the use of standardized technologies and processes are cross-cutting issues pertinent to ForeSee projects and their role in PdM projects is presented. The evaluation of these concepts and technologies in ForeSee industrial cases has proven their significance to industrial practice. The validation phase in industrial cases has served the ForeSee cluster with the provision of the following lessons learnt and recommendations for successful adoption of technology and best practices.  

    Lessons learned:

    ✓ Need for the development of structured data repositories with Industry4.0 and PdM datasets  

    ✓ Availability for testbeds for PdM, condition-based maintenance and intelligent asset management

    ✓ Adjustment of AI-based Maintenance and Asset Management Systems to facilitate accessibility by the non-experts

    ✓ Standardization, data and semantics interoperability, as necessary enablers to support the diverse software, hardware as well as business process landscape in asset management. Recommendations

    ✓ Business models for Condition Based Maintenance and Intelligent Asset Management should be further investigated

    ✓ Mobile Management - Mobile-First Condition Based Maintenance are important concepts that could benefit the adoption of CBM and PdM strategies  

    ✓ Smart and Autonomous Objects should be further considered when it comes to data collection, inspection, data collection and communication.  

    ✓ Adequate actions for Training - Education - Lifelong Learning of people working closely with advanced data and Internet of Things technologies should be considered.  (21) (PDF) Predictive maintenance technologies for production systems. A roadmap to development and implementation.

  • 45.
    Algabroun, Hatem
    Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.
    On the development of a new digitalised maintenance approach for factories of the future2020Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Over time, maintenance methods have developed following the dynamic manufacturers’ demands. Now, with the coming industrial revolution, new maintenance approaches have to be developed to fulfil the new demands of future industry, as well as to allow companies to benefit from technological advances. Therefore, the research question of this study is: how to develop a maintenance approach for factories of the future? To answer this question, this thesis proposes tools to identify and prioritise maintenance related problems that impact company’s profitability. It explores designing and implementation of a digitalised maintenance approach for future factories. Furthermore, it investigates tools and methods to collect data efficiently by sensors.

    The results achieved in this thesis are 1) a mathematical representation and application of a model that identifies and prioritises causes of deficiencies in production processes, 2) a model that identifies and prioritises failures that impact the competitive advantages and profitability of companies, 3) characterisation of a maintenance approach for future factories, 4) frameworks that could be utilised to develop a maintenance approach for future factories, as well as, guidelines that help to design this approach, 5) guidelines for the integration of digitalised maintenance with the database of other working areas, 6) an algorithm for adaptive sampling for sensors, as well as, a proposal for a generic software architecture to facilitate designing, modelling and implementation of adaptive sampling algorithms.

    The conclusion of this thesis confirms previous findings that maintenance has an impact on companies’ competitive advantages, other working areas and profitability. To design and implement a maintenance system, its elements should be extracted from the primary objective of maintenance. These elements should be then allocated in a suitable architecture and their mechanism should also be defined. Prior to implementation and integration, mapping the concept design to production problems can be used to examine its performance. An approach to collect data efficiently by sensors is to use adaptive sampling. The developed adaptive algorithm and the reference software framework for adaptive sampling algorithms could be used for this purpose.

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    Doctoral Dissertation (Comprehensive Summary)
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  • 46.
    Algabroun, Hatem
    et al.
    Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.
    Al-Najjar, Basim
    Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.
    Jonsson, Mikael
    E Maintenance Sweden AB, Sweden.
    A framework for the integration of digitalised maintenance systems with relevant working areas: A case study2020In: 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2020 / [ed] Ajith Parlikad, Christos Emmanouilidis, Benoit Iung, Marco Macchi, Elsevier, 2020, Vol. 53, no 3, p. 185-190Conference paper (Refereed)
    Abstract [en]

    To enhance maintenance performance, maintenance integration with relevant activities should be planned and performed. In a digitalised industry, maintenance integration has to deal with various and heterogynous technologies. As the integration of such disparate technologies can be complex, this paper proposes a framework that provides the steps required for the successful integration of digitalised and automated maintenance across the relevant working areas. To develop this framework, we first identified relevant working areas to integrate maintenance with. Next, we identified integration success factors which are then considered in the framework development. The framework was then implemented in a real case study, and results showed that the integration tasks were completed successfully. Based on the case study, the framework provides guidelines for successfully integrating maintenance in a systematic way across the relevant working areas.

  • 47.
    Algabroun, Hatem
    et al.
    Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.
    Bokrantz, Jon
    Chalmers university of technology, Sweden.
    Al-Najjar, Basim
    Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.
    Skoogh, Anders
    Chalmers university of technology, Sweden.
    Development of digitalised maintenance: a concept2022In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 28, no 2, p. 367-390Article in journal (Refereed)
    Abstract [en]

    Purpose This paper presents a concept for digitalised maintenance (DM), maps the conceptualised DM to maintenance problems in industries and highlights challenges that might be faced when realizing this concept. Design/methodology/approach First, maintenance problems that are faced by the industry are presented, followed by a conceptualisation of DM. Next, a typical operational scenario is used as an exemplification to show system dynamics. The characteristics of this conceptualised DM are then mapped to the identified maintenance problems of industry. Then, interesting initiatives in this domain are highlighted, and finally, the challenges to realize this approach are discussed. Findings This paper identified a set of problems related to maintenance in industry. In order to solve current industrial problems, exploit emerging digital technologies and elevate future industries, it will be necessary to develop new maintenance approaches. The mapping between the criteria of DM and maintenance problems shows the potential of this concept and gives a reason to examine it empirically in future work. Originality/value This paper aims to help maintenance professionals from both academia and industry to understand and reflect on the problems related to maintenance, as well as to comprehend the requirements of a digitalised maintenance and challenges that may arise.

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  • 48.
    Algabroun, Hatem
    et al.
    Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.
    Iftikhar, Muhammad Usman
    Al-Najjar, Basim
    Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.
    Weyns, Danny
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Maintenance 4.0 Framework using Self: Adaptive Software Architecture2018In: Journal of Maintenance Engineering, Vol. 2, p. 280-293Article in journal (Refereed)
    Abstract [en]

    With the recent advances of manufacturing technologies, referred to as Industry 4.0, maintenance approaches have to be developed to fulfill the new de-mands. The technological complexity associated to Industry 4.0 makes designing maintenance solutions particularly challenging. This paper proposes a novel maintenance framework leveraging principles from self-adaptation and software architecture. The framework was tested in an operational scenario where a bearing condition in an electrical motor needs to be managed, the results showed a proper operation. As a conclusion, the proposed framework could be used to develop maintenance systems for Industry 4.0.

  • 49.
    Algabroun, Hatem
    et al.
    Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.
    Iftikhar, Muhammad Usman
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Al-Najjar, Basim
    Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.
    Weyns, Danny
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Catholic University of Leuven, Belgium.
    Maintenance 4.0 Framework Using Self-Adaptive Software Architecture2017In: Proceedings of 2nd International Conference on Maintenance Engineering, IncoME-II 2017.The University of Manchester, UK, The University of Manchester, UK , 2017, , p. 299-309Conference paper (Refereed)
    Abstract [en]

    With the recent advances of manufacturing technologies, referred to as Industry 4.0, maintenance approaches have to be developed to fulfill the new de-mands. The technological complexity associated to Industry 4.0 makes designing maintenance solutions particularly challenging. This paper proposes a novel maintenance framework leveraging principles from self-adaptation and software architecture. The framework was tested in an operational scenario where a bearing condition in an electrical motor needs to be managed, the results showed a proper operation. As a conclusion, the proposed framework could be used to develop maintenance systems for Industry 4.0.

  • 50.
    Alhasan, Wahaab
    Mälardalen University, School of Innovation, Design and Engineering. Malardalen University.
    EVALUATING CHALLENGES, BENEFITS, AND DEPENDABILITY OF VIRTUAL AND PHYSICAL TESTING OF EMBEDDED SYSTEMS SOFTWARE2022Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Software testing is a widely used quality assurance activity and often starts from the early development stages. However, starting early in the development process raises difficulties and challenges practitioners must deal with; most typically, hardware is not available in the required quantities, and there is the risk of damaging the hardware while testing. Emulating the physical hardware into virtual versions is a popular approach to overcome the mentioned obstacles. This master thesis, carried out at Westermo AB, investigates the differences between the physical and virtual hardware used for embedded system software testing and the possible benefits of combining both hardware versions in a hybrid system. Investigating differences between the hardware options helps identify which type of tests are more suitable in physical versus virtual hardware. The selected method for this thesis is a case study, starting with a pre-study phase investigating how other industries tackle the difficulties and challenges mentioned. Further, data were collected from two sources, historical test reports, and a questionnaire. The historical test reports showed a timing difference between virtual and physical hardware. The reset process of physical hardware is often faster than virtual hardware, but the link-up/link-down time is slower in physical hardware. The questionnaire also confirmed the timing differences as a significant challenge often experienced by engineers. Another challenge highlighted by the questionnaire answers is that "false positives" are typically caused by virtual hardware, where issues do not always turn up due to the virtual nature of communication. Another difference proven from this thesis is that virtual hardware is more failure-prone during the early stages of testing than physical hardware. The hybrid system could be advantageous in various ways, such as quantitatively expanding the current test systems and increasing test coverage. Future work could contribute with a proof-of-concept implementation of the hybrid system to confirm the advantages and demonstrate the third option of a test system. 

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