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Content Provider | IEEE Xplore Digital Library |
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Author | Riedel, R. Mueller, E. von der Weth, R. Pflugradt, N. |
Copyright Year | 2009 |
Description | Author affiliation: Department of Human Resources and Ergonomics, University of Applied Sciences Dresden, Germany (von der Weth, R.) || Department of Factory Planning and Factory Management, Chemnitz University of Technology, Germany (Riedel, R.; Mueller, E.; Pflugradt, N.) |
Abstract | As the environment of manufacturing enterprises is becoming more complex and dynamic this requires powerful tools for the support of decisions in manufacturing and production planning. Simulation as one of those tools has been widely applied in manufacturing and logistics. However, the models used for simulation are incomplete because the human factor in terms of its decision making and behaviour is considered only rudimentary. This leads to suboptimal decisions and to a gap when implementing solutions in practice. The paper presents an approach for enriching the common (technical) simulation models with need controlled human agents. The agent is based on a formalised motivation theory. In a feasibility study several typical settings, like ramp up curves and learning effects, were tested. The approach is unique in the field of simulation with a big potential for higher quality in analysing and designing production systems. |
Starting Page | 2089 |
Ending Page | 2093 |
File Size | 755764 |
Page Count | 5 |
File Format | |
ISBN | 9781424448692 |
DOI | 10.1109/IEEM.2009.5373164 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-12-08 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Computational modeling Decision making Humans simulation human factors Production facilities Discrete event simulation modelling Analytical models Manufacturing processes Virtual manufacturing Logistics Context modeling |
Content Type | Text |
Resource Type | Article |
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