Human-Controlled Production

Matthias Neubauer, Florian Krenn, Ioan-Alexandru Schärfl, Christian Stary, Dennis Majoe

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In factories of the future, the worker and his or her well-being is regarded a crucial part of manufacturing situations. Human factors are recognized as vital to achieve sustainable organizational success. Advances in the area of wearable sensors proclaim that sensing human properties within manufacturing settings is technically feasible. Thereby, sensing human properties, such as the level of comfort or stress, may be used to adapt system behaviour in manufacturing situations. This chapter revisits related work from adaptive systems design addressing triggers for adaptations and impacted dimensions. The related work can be considered as design space for developers of S-BPM-based adaptive processes. In line with the related work, a laboratory setting at the Johannes Kepler University Linz has been designed and utilized for testing sensor-based process behaviour and control. Essential findings are described with respect to system architectures and S-BPM process design. The chapter concludes with relating modelling adaptive to human-aware S-BPM processes on a concept layer, and future work.
Original languageEnglish
Title of host publicationS-BPM in the Production Industry
Pages167-191
Number of pages24
Publication statusPublished - 2017

Fields of science

  • 102015 Information systems

JKU Focus areas

  • Social and Economic Sciences (in general)

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