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Dynamic, adaptive worker allocation for the integration of human factors in cyber-physical production systems

Strang, Daniel and Galaske, Nadia and Anderl, Reiner (2016):
Dynamic, adaptive worker allocation for the integration of human factors in cyber-physical production systems.
In: Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future, Switzerland, Springer International Publishing, pp. 517-529, [Online-Edition: doi:10.1007/978-3-319-41697-7_45],
[Book Section]

Abstract

In this paper an adaptive, dynamic, and individualized worker allocation method is presented. The developed method is based on individual worker information, the new flexible cyber-physical production system, and the communication between the participants of such a production system. According to a communication scenario demands of a manufacturing step and a manufacturing station are compared with employee information. This provides the basis for a decision of the worker allocation. Workers are only allocated to manufacturing stations that match their qualifications and personal characteristics. For a better integration of human factors in CPPS, the job satisfaction of each worker also has to be taken into account. Therefore a satisfaction value for each manufacturing operation and manufacturing station is defined and part of the worker information. The aim of the research is to increase the productivity in the production system and the satisfaction of each individual worker.

Item Type: Book Section
Erschienen: 2016
Creators: Strang, Daniel and Galaske, Nadia and Anderl, Reiner
Title: Dynamic, adaptive worker allocation for the integration of human factors in cyber-physical production systems
Language: English
Abstract:

In this paper an adaptive, dynamic, and individualized worker allocation method is presented. The developed method is based on individual worker information, the new flexible cyber-physical production system, and the communication between the participants of such a production system. According to a communication scenario demands of a manufacturing step and a manufacturing station are compared with employee information. This provides the basis for a decision of the worker allocation. Workers are only allocated to manufacturing stations that match their qualifications and personal characteristics. For a better integration of human factors in CPPS, the job satisfaction of each worker also has to be taken into account. Therefore a satisfaction value for each manufacturing operation and manufacturing station is defined and part of the worker information. The aim of the research is to increase the productivity in the production system and the satisfaction of each individual worker.

Title of Book: Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future
Series Name: Advances in Intelligent Systems and Computing
Volume: 490
Place of Publication: Switzerland
Publisher: Springer International Publishing
ISBN: 978-3-319-41697-7
Uncontrolled Keywords: Industrie 4.0, Cyber-physical production systems, Profile data model, Worker allocation, Discrete-event simulation
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Department of Computer Integrated Design (DiK)
Date Deposited: 17 Aug 2016 09:12
Official URL: doi:10.1007/978-3-319-41697-7_45
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