Rößler, Markus Philipp ; Riemer, Joshua ; Müller, Maximilian (2015):
Decision Support for Choosing an Appropriate Simulation Method for Dynamic Material Flow Analysis.
In: Journal of Industrial and Intelligent Information, 3 (4), pp. 337-341. [Article]
Abstract
When improving industrial process chains in terms of productivity it is becoming more and more important to not only consider the static, but also the dynamic behavior of value streams. The effects of intended changes on production systems often are unknown and could underlie vast variations due to the planned outcome. In order to validate such changes before implementation, the use of material flow simulation is widely discussed in research and industrial practice. Such optimization projects usually require the collaboration of production system and simulation experts. Through the increased dissemination of various simulation tools on the market as well as multiple simulation methods available (discrete event, agent based and system dynamics) the actual selection of a suitable simulation setting is a challenging task. To support such optimization teams in the selection of an appropriate simulation method a decision making approach based on comparative criteria is shown and discussed in this article, concluding with a case study
| Item Type: | Article |
|---|---|
| Erschienen: | 2015 |
| Creators: | Rößler, Markus Philipp ; Riemer, Joshua ; Müller, Maximilian |
| Title: | Decision Support for Choosing an Appropriate Simulation Method for Dynamic Material Flow Analysis. |
| Language: | English |
| Abstract: | When improving industrial process chains in terms of productivity it is becoming more and more important to not only consider the static, but also the dynamic behavior of value streams. The effects of intended changes on production systems often are unknown and could underlie vast variations due to the planned outcome. In order to validate such changes before implementation, the use of material flow simulation is widely discussed in research and industrial practice. Such optimization projects usually require the collaboration of production system and simulation experts. Through the increased dissemination of various simulation tools on the market as well as multiple simulation methods available (discrete event, agent based and system dynamics) the actual selection of a suitable simulation setting is a challenging task. To support such optimization teams in the selection of an appropriate simulation method a decision making approach based on comparative criteria is shown and discussed in this article, concluding with a case study |
| Journal or Publication Title: | Journal of Industrial and Intelligent Information |
| Volume of the journal: | 3 |
| Issue Number: | 4 |
| Divisions: | 16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) 16 Department of Mechanical Engineering |
| Date Deposited: | 21 Nov 2016 14:50 |
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