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  • 1.
    Andreasson, Rebecca
    et al.
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. Department of Information Technology, Visual Information and Interaction, Uppsala University, Uppsala, Sweden.
    Lindblom, Jessica
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Thorvald, Peter
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Tool use and collaborative work of dock assembly in practice2017In: Production & Manufacturing Research, ISSN 2169-3277, Vol. 5, no 1, p. 164-190Article in journal (Refereed)
    Abstract [en]

    In order to deepen the understanding of the intrinsic interactions andinterplay between humans, tools, and environment from a systemsperspective, research in the wild (RITW) approaches have gainedtraction during recent decades as they provide a higher ecologicalvalidity of findings. This paper presents a RITW study, investigatinghow assembly, in this case dock assembly of forwarders, was donein practice. As our theoretical foundation, we used the framework ofdistributed cognition, which is one of the main pillars of RITW. Thefindings are presented in narrative form, describing and highlightingthat the workers achieve an efficient production outcome by beingintegral parts of the whole production process and doing so throughcoordination of activities benefitting the shared goal of the distributedsocio-technical system.

  • 2.
    Brolin, Anna
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Department of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, United Kingdom.
    Thorvald, Peter
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Case, Keith
    Department of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, United Kingdom.
    Experimental study of cognitive aspects affecting human performance in manual assembly2017In: Production & Manufacturing Research, ISSN 2169-3277, Vol. 5, no 1, p. 141-163Article in journal (Refereed)
    Abstract [en]

    This study investigate different ways of presenting material and information at workstations while using mixed assembly mode with product variants. The experimental set up annotated an assembly line involving 36 subjects. The material presentation factor involved the use of a material rack compared to using an unstructured kit as well as a structured kit. The information presentation factor involved using a text and number instruction compared to a photograph instruction, and situations with and without component variation were considered. Results show that assembly times and workload ratings were lower when using a kit, whereas using a material rack resulted in perceived decreased workflow and increased stress and frustration. Moreover, assembly times and workload ratings were lower when using photographs, whereas using text and numbers increased mental workload. The results could be useful when planning work places and production systems in order to obtain a better workflow and an increased human performance. 

  • 3.
    Case, Keith
    et al.
    Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, United Kingdom.
    Thorvald, Peter
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Editorial2019In: Production & Manufacturing Research, ISSN 2169-3277, Vol. 7, no 1, p. 529-530Article in journal (Other academic)
  • 4.
    Kolbeinsson, Ari
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Lagerstedt, Erik
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Lindblom, Jessica
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Foundation for a classification of collaboration levels for human-robot cooperation in manufacturing2019In: Production & Manufacturing Research, ISSN 2169-3277, Vol. 7, no 1, p. 448-471Article in journal (Refereed)
    Abstract [en]

    Industry 4.0 aims to support the factory of the future, involving increased use of information systems and new ways of using automation, such as collaboration where a robot and a human share work on a single task. We propose a classification of collaboration levels for Human-Robot collaboration (HRC) in manufacturing that we call levels of collaboration (LoC), formed to provide a conceptual model conducive to the design of assembly lines incorporating HRC. This paper aims to provide a more theoretical foundation for such a tool based on relevant theories from cognitive science and other perspectives of human-technology interaction, strengthening the validity and scientific rigour of the envisioned LoC tool. The main contributions consist of a theoretical grounding to motivate the transition from automation to collaboration, which are intended to facilitate expanding the LoC classification to support HRC, as well as an initial visualization of the LoC approach. Future work includes fully defining the LoC classification as well as operationalizing functionally different cooperation types. We conclude that collaboration is a means to an end, so collaboration is not entered for its own sake, and that collaboration differs fundamentally from more commonly used views where automation is the focus.

  • 5.
    Lindblom, Jessica
    et al.
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Thorvald, Peter
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Manufacturing in the wild: viewing human-based assembly through the lens of distributed cognition2017In: Production & Manufacturing Research, ISSN 2169-3277, Vol. 5, no 1, p. 57-80Article in journal (Refereed)
    Abstract [en]

    The interdisciplinary field of cognitive science has been and isbecoming increasingly central within human factors and ergonomics(HF&E) and, since at the same time, there has long been a call for a more systems perspective in the area with a somewhat wider unit of analysis. This paper argues that the theoretical framework of distributed cognition would greatly benefit the application of HF&E to manufacturing and would offer a more holistic understanding of the interactions between different entities within a greater context,including the social, cultural and materialistic. We aim to characterize and analyse manufacturing as a complex socio-technical system from a distributed cognition perspective; focusing on the use, mediation and integration of different forms of representations, tools and artefacts in this domain. We present illustrative examples fromauthentic manual assembly, showing the cognitively distributed nature of the work, ranging from scaffolding strategies of the individual worker to the emergent properties of a whole assembly line. The paper further proposes and provides benefits of using a distributed cognition framework as a novel approach in the toolboxfor the HF&E discipline, where it may have been found before, but the application to manufacturing has been absent.

  • 6.
    Liu, Yu
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Strand, Mattias
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Review of simulation-based life cycle assessment in manufacturing industry2019In: Production & Manufacturing Research, ISSN 2169-3277, Vol. 7, no 1, p. 490-502Article in journal (Refereed)
    Abstract [en]

    The manufacturing industry has a duty to minimize its environmental impact, and an increasing body of legislation mandates environmental impact evaluations from a life cycle perspective to prevent burden shift. The manufacturing industry is increasing its use of computer-based simulations to optimize production processes. In recent years, several published studies have combined simulations with life cycle assessments (LCAs) to evaluate and minimize the environmental impact of production activities. Still, current knowledge of simulations conducted for LCAs is rather disjointed. This paper accordingly reviews the literature covering simulation-based LCAs of production processes. The results of the review and cross-comparison of papers are structured in terms of seven elements in line with the ISO standard definition of LCA and report the strengths and limitations of the reviewed studies. © 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

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