Towards an architecture for human-aware modeling and execution of production processes

Matthias Neubauer, Florian Krenn, Dennis Majoe

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

Abstract

Today's production companies face a variety of challenges arising from increasingly complex and dynamic environments. The advent of pervasive computing has enabled companies to continuously adapt to these changing manufacturing situations. In factories of the future the worker and his or her well-being is seen as a crucial part of manufacturing situations. These human factors have to be considered in order to achieve sustainable organizational success. Due to advances in the area of wearable sensors, sensing human properties within a manufacturing setting is technically feasible. Sensing human properties, such as the level of comfort or stress, provides additional information. This allows for continuous adaptation of the manufacturing system behavior based on human needs. In this paper, human-aware modeling and the execution of production processes incorporating human properties are illustrated. This is done by applying the Subject-Oriented Process Management approach in an application scenario. Furthermore, the architecture and the application of the designed system are described with respect to human stress level and dynamic system adaptation.

Original languageEnglish
Pages (from-to)294-299
Number of pages6
JournalIFAC-PapersOnLine
Volume28
Issue number3
DOIs
Publication statusPublished - 1 May 2015
Externally publishedYes
Event15th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2015 - Ottawa, Canada
Duration: 11 May 201513 May 2015

Keywords

  • Adaptive systems
  • Business process engineering
  • Multilevel systems
  • Process models
  • Sensor systems

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