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  • 1.
    Hattinger, Monika
    et al.
    University West, Department of Engineering Science, Division of Manufacturing Processes.
    Eriksson, Kristina
    University West, Department of Engineering Science, Division of Manufacturing Processes.
    Malmsköld, Lennart
    University West, Department of Engineering Science, Division of Automation Systems.
    Svensson, Lars
    University West, Department of Economics and IT, Divison of Informatics.
    E-learning Readiness and Absorptive Capacity in the Manufacturing Industry2014In: International Journal of Advanced Corporate Learning, ISSN 1867-5565, E-ISSN 1867-5565, Vol. 7, no 3, p. 33-40Article in journal (Refereed)
    Abstract [en]

    The manufacturing industry constantly strive to develop the competencies of their expert production engineers in order to achieve and maintain a competitive advantage. Research shows that the absorptive capacity of a firm is central in order to reach such a goal. The absorptive capacity is the firm´s ability to recognize the value of new external information, assimilate it, and apply it to commercial ends, and thereby exploit the conditions for innovation. In this paper the concept of absorptive capacity is used as a lens for analyzing managerial rationales for engaging in technology enhanced competence development projects. Through interviews with key informants in 15 manufacturing firms we study the capabilities and readiness that organizations need for participation in e-learning initiatives. We present a framework of readiness for technology enhanced competence development comprised of the following interrelated constructs; awareness, e-learning maturity, dynamic capability and co-creativity. Results show a broad variation of levels within the constructs among the firms. Notable is the low level of e-learning maturity and dynamic capability. We argue that e-learning maturity is dependent on all four constructs.

  • 2.
    Hattinger, Monika
    et al.
    University West, Department of Engineering Science, Division of Manufacturing Processes.
    Eriksson, Kristina
    University West, Department of Engineering Science, Division of Manufacturing Processes.
    Malmsköld, Lennart
    University West, Department of Engineering Science, Division of Automation Systems. Chalmers University of Technology, Department of Product and Production Development,.
    Svensson, Lars
    University West, Department of Economics and IT, Divison of Informatics.
    Work-Integrated Learning and Co-creation of Knowledge: Design of collaborative technology enhanced learning activities2014In: Proceedings of the 37th Information Systems Research Seminar in Scandinavia (IRIS 37) / [ed] Ahmad Ghazawneh, Jacob Nørbjerg and Jan Pries-Heje, Ringsted, 2014, p. 1-15Conference paper (Refereed)
    Abstract [en]

    In this paper we aim to understand management’s perceptions of knowledge and competence development to inform the design of technology enhanced learning activities integrated in the workplace. Work-integrated learning can be viewed with the university lens on studies of formal education integrated in the workplace setting, but here we rather emphasize the conditions of the workplace as implications for design of successful e-learning initiatives. We conducted interviews with 15 manufacturing industries in Sweden and used qualitative content analysis approach to interpret the text data. Results show that companies describe a rich variation of work-integrated learning activities, but the step towards external collaboration with academia for co-production of knowledge is marginal. Also, broad-minded work for innovations is limited. This imply the need for well-planned design of richer collaborative acitivites between academia and organizations through use of media technology to encourage competence development.

  • 3.
    Hermawatia, Setia
    et al.
    Human Factors Research Group, Faculty of Engineering, The University of Nottingham.
    Lawson, Glyn
    Human Factors Research Group, Faculty of Engineering, The University of Nottingham.
    D'Cruz, Mirabelle
    Human Factors Research Group, Faculty of Engineering, The University of Nottingham.
    Arlt, Frank
    Adam Opel AG – General Motors Company, Rüsselsheim, Germany.
    Apold, Judith
    Adam Opel AG – General Motors Company, Rüsselsheim, Germany.
    Andersson, Lina
    VOLVO Group, Gothenburg.
    Gink Lövgren, Maria
    VOLVO Group, Gothenburg.
    Malmsköld, Lennart
    University West, Department of Engineering Science, Division of Automation Systems. Volvo Technology.
    Understanding the complex needs of automotive training at final assembly lines2014In: Applied Ergonomics, ISSN 0003-6870, E-ISSN 1872-9126, Vol. 46, p. 144-157Article in journal (Refereed)
    Abstract [en]

    Automobile final assembly operators must be highly skilled to succeed in a low automation environment where multiple variants must be assembled in quick succession. This paper presents formal user studies conducted at OPEL and VOLVO Group to identify assembly training needs and a subset of requirements; and to explore potential features of a hypothetical game-based virtual training system. Stakeholder analysis, timeline analysis, link analysis, Hierarchical Task Analysis and thematic content analysis were used to analyse the results of interviews with various stakeholders (17 and 28 participants at OPEL and VOLVO, respectively). The results show that there is a strong case for the implementation of virtual training for assembly tasks. However, it was also revealed that stakeholders would prefer to use a virtual training to complement, rather than replace, training on pre-series vehicles.

  • 4.
    Johansson, Pierre E. C.
    et al.
    Volvo Group Trucks Operations, Gothenburg 405 08, Sweden.
    Enofe, Martin O.
    Volvo Group Trucks Operations, Gothenburg 405 08, Sweden.
    Schwarzkopf, Moritz
    Volvo Group Trucks Operations, Gothenburg 405 08, Sweden.
    Malmsköld, Lennart
    University West, Department of Engineering Science, Division of Production Systems.
    Fast-Berglund, Åsa
    Chalmers University of Technology, Gothenburg 412 96, Sweden.
    Moestam, Lena
    Data and Information Handling in Assembly Information Systems: A Current State Analysis2017In: Procedia Manufacturing, E-ISSN 2351-9789, Vol. 11, p. 2099-2106Article in journal (Refereed)
    Abstract [en]

    Products become more complex as the general technology development reaches new levels. These new technologies enable manufacturing companies to offer better products with new functionalities to their customers. Complex products require adequate manufacturing systems to cope with changing product requirements. In general, manufacturing of this type of products entails complex structured and rigid IT systems. Due to the system’s complexity and comprehensive structure, it becomes challenging to optimize the information flow. There are improvement potentials in how such systems could be better structured to meet the demands in complex manufacturing situations. This is particularly true for the vehicle manufacturing industry where growth in many cases have occurred through acquisitions, resulting in increased levels of legacy IT systems. Additionally, this industry is characterized by high levels of product variety which contribute to the complexity of the manufacturing processes. In manual assembly of these products, operations are dependent on high quality assembly work instructions to cope with the complex assembly situations. This paper presents a current state analysis of data and information handling in assembly information systems at multiple production sites at a case company manufacturing heavy vehicles. On basis of a certain set of characterizing manual assembly tasks for truck, engine and transmission assembly, this work focuses on identifying what data and information that is made available to operators in terms of assembly work instructions and the importance of such data and information. This work aims to identify gaps in the information flow between manufacturing engineering and shop floor operations. © 2017 The Authors

  • 5.
    Johansson, Pierre E.C.
    et al.
    Volvo Group Trucks Operations, Gothenburg, 405 08, Sweden; Chalmers University of Technology, Gothenburg, 412 96, Sweden.
    Malmsköld, Lennart
    University West, Department of Engineering Science, Division of Production Systems.
    Fast-Berglund, Åsa
    Chalmers University of Technology, Gothenburg, 412 96, Sweden.
    Moestam, Lena
    Volvo Group Trucks Operations, Gothenburg, 405 08, Sweden.
    Enhancing Future Assembly Information Systems: Putting Theory into Practice2018In: Procedia Manufacturing, E-ISSN 2351-9789, Vol. 17, p. 491-498Article in journal (Refereed)
    Abstract [en]

    The manufacturing industry is in a changing state where technology advancements change the mindset of how manufacturing systems will function in the future. Industry 4.0 provides manufacturing companies with new methods for improved decision-making processes and dynamic process control. Despite this ambition, the manufacturing industry is far away from implementing this approach in practice. Assembly information systems will play an even more vital role enabling information transfer from product design to shop floor assembly in the future. To prepare the industry for these changes that are foreseen and for those that are yet to be discovered, a learning factory environment is vital. Such an environment is intended to support the industry during the development of assembly information systems. This paper presents an industrial demonstrator which incorporates well-known methods for improving assembly work stations with the perspective on assembly information systems. These methods are still not widely used in manual assembly intense manufacturing companies. This demonstrator illustrates how established theories can be practically used when designing future assembly information systems. The demonstrator will be used to validate functionalities and requirements for future assembly information systems.

  • 6.
    Malmsköld, Lennart
    et al.
    University West, Department of Engineering Science, Division of Automation Systems. Volvo Technology.
    Örtengren, Roland
    Chalmers University of Technology, Department of Product and Production Development,.
    Svensson, Lars
    University West, Department of Economics and IT, Divison of Informatics.
    Improved Quality Output through Computer-Based Training: An Automotive Assembly Field Study2015In: Human Factors and Ergonomics in Manufacturing, ISSN 1090-8471, E-ISSN 1520-6564, Vol. 25, no 3, p. 304-318Article in journal (Refereed)
    Abstract [en]

    In this article, two field experiments, conducted in an automotive assembly plant, evaluate how computer-based training of operational sequences and related quality information can support the assembly performance of the operators. The experiments were performed during the launch of a new vehicle. A comparison was made of learning progress and quality performance between a reference group of operators that only had regular training and a test group for which some of the regular training was replaced with individual computer-based training. Both quantitative measures of the quality output and questionnaires and observations were used to evaluate the effects of computer-based training. The results show a clear positive difference in learning progress and improvements in quality output for the test group compared with the reference group. This combined with positive attitudes expressed by the operators and their team leaders shows that this type of training is an effective way to train operators during launches of new vehicles in automotive production. © 2014 Wiley Periodicals, Inc.

  • 7.
    Malmsköld, Lennart
    et al.
    University West, Department of Engineering Science, Division of Production Systems. Volvo Technology.
    Örtengren, Roland
    Chalmers tekniska högskola.
    Svensson, Lars
    University West, School of Business, Economics and IT, Divison of Informatics.
    Training Virtually Virtual2012In: International Journal of Advanced Corporate Learning, ISSN 1867-5565, E-ISSN 1867-5565, Vol. 5, no 3, p. 29-36Article in journal (Refereed)
    Abstract [en]

    This paper reports from a longitudinal study of a Swedish manufacturer in the automotive industry, where a series of studies have explored the potential and limitations of computer-based training of assembly operators. The study is focusing on two supplementing sets of target variables – operators' attitudes and the quality output from operators in real production. Starting with small-scale studies where proof-of-concept for virtual training is established, the research moves on to comparative studies where different computer-based learning models are contrasted and evaluated. The research design ends with large-scale field experiments assessing the effects of computer-based training in terms of quality output. The results clearly demonstrate that computer-based training, when integrated with training of standardized work procedures, outperforms traditional methods for operator training, regardless of the content and the context of the assembly operation. The findings of the study are synthesized into a design framework for virtual training where cognitive and craftsmanship training is contrasted to the learning of product, process, sequence and finesse of assembly.

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