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S-BPM in the Production Industry pp 69–111Cite as

Lot-Size One Production

Lot-Size One Production

  • Udo Kannengiesser3,
  • Richard Heininger3,
  • Lubomir Billy4,
  • Pavol Terpak4,
  • Matthias Neubauer5,
  • Christian Stary5,
  • Dennis Majoe6,
  • Alexandra Totter7 &
  • …
  • David Bonaldi7 
  • Chapter
  • Open Access
  • First Online: 16 December 2016
  • 5742 Accesses

  • 4 Citations

Abstract

This case reports on an SME offering the production of atypical, unique and special-purpose machinery, equipment and technological complex units useful particularly in the automotive and electronic industries. The initial situation reveals challenges like the estimation of production times for one-time prototypes, lack of communication between shop floor workers and technologists, lack of information on upcoming production tasks for workplaces, low involvement of workers in decision processes, and lack of information on current state of production. The proposed subject-oriented solution targets to increase the worker autonomy, the worker involvement and information transparency as well as integration across all organizational control layers. In this respect, subject-orientation is applied to integrate real-time information from the shop floor (e.g. location information of parts, power consumption of machines) and business processes (e.g. customer order). A novel S-BPM modelling approach has been developed in the course of organizational design that seeks to model subjects as fine-grained behaviours of actors rather than functional roles. The revealed behaviours may be assigned to actors (i.e. humans, machines) depending on their capabilities and skills. This allows for dynamic allocation of tasks to humans and machines, process execution support based on skill levels, reflecting performed behaviours of actors and (de-)constructing organizational behaviours. The evaluation is composed of formative and summative elements. The formative evaluation reports on findings based on developer workshops, focus groups and user tests that were conducted in parallel to the design and implementation to ensure a user-centred approach. The summative evaluation reports on findings related to the outcome of the case implementations at the SME.

Keywords

  • Production Manager
  • Work Task
  • Project Implementation
  • User Story
  • Warehouse Manager

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Reference

  • Kannengiesser, U., Heininger, R., Gründer T., & Schedl, S. (2016). Modelling the process of process execution: A process model-driven approach to customising user interfaces for business process support systems. In International Workshop on Business Process Modeling, Development and Support (pp. 34–48). Springer International Publishing. doi:10.1007/978-3-319-39429-9_3.

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Author information

Authors and Affiliations

  1. Metsonic GmbH, Pfaffenhofen, Germany

    Udo Kannengiesser & Richard Heininger

  2. Centire, Bratislava, Slovakia

    Lubomir Billy & Pavol Terpak

  3. Department of Business Information Systems – Communications Engineering, Johannes Kepler University Linz, Linz, Austria

    Matthias Neubauer & Christian Stary

  4. MA Systems and Control Limited, Southampton, UK

    Dennis Majoe

  5. ByElement, Schindellegi, Switzerland

    Alexandra Totter & David Bonaldi

Authors
  1. Udo Kannengiesser
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  2. Richard Heininger
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  3. Lubomir Billy
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  4. Pavol Terpak
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  5. Matthias Neubauer
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  6. Christian Stary
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  7. Dennis Majoe
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  8. Alexandra Totter
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  9. David Bonaldi
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Corresponding author

Correspondence to Udo Kannengiesser .

Editor information

Editors and Affiliations

  1. Johannes Kepler Universität Linz, Linz, Austria

    Matthias Neubauer

  2. Johannes Kepler Universität Linz, Linz, Austria

    Christian Stary

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© 2017 The Editor(s) (if applicable) and the Author(s)

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Cite this chapter

Kannengiesser, U. et al. (2017). Lot-Size One Production. In: Neubauer, M., Stary, C. (eds) S-BPM in the Production Industry. Springer, Cham. https://doi.org/10.1007/978-3-319-48466-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-48466-2_4

  • Published: 16 December 2016

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48465-5

  • Online ISBN: 978-3-319-48466-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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