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  4. A discrete event simulation approach for quantifying risks in manufacturing processes
 
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2016
Conference Paper
Title

A discrete event simulation approach for quantifying risks in manufacturing processes

Abstract
Nowadays supply chains have to face an increasing number of risks related to the globalisation, especially impacting the procurement processes. Even though tools are available to help companies address those risks, most companies, even larger ones, still have problems to adequately quantify those risks and assess to what extend an alternative could address them. The aim of our work is to provide companies with a software supported methodology to quantify such risks and elaborate adequate risk mitigation strategies at an optimal cost. Based on a survey conducted about the risk management practices and needs within companies, we developed a tool that enables a constant focus on risks by enabling the easy expression of key risks together with the process model and hence help to focus the granularity of the model at the right level. Based on the model, a simulator can then efficiently evaluate these risks thanks to well-known Monte-Carlo simulation techniques. Our main technical contribution lies in the development of an efficient discrete event simulation (DES) engine together with a query language which can be used to measure business risks based on simulation results. We demonstrate the expressiveness and performance of our approach by benchmarking it on a set of cases originating from the industry and covering a large set of risk categories.
Author(s)
Landtsheer, Renaud de
CETIC Research Centre, Charleroi
Ospina, Gustavo
CETIC Research Centre, Charleroi
Massonet, Philippe
CETIC Research Centre, Charleroi
Ponsard, Christophe
CETIC Research Centre, Charleroi
Printz, Stephan
Institute for Management Cybernetics (IfU), RWTH Aachen University
Härtel, Lasse
Fraunhofer-Institut für Produktionstechnologie IPT  
Cube, Johann Philipp von
Fraunhofer-Institut für Produktionstechnologie IPT  
Mainwork
ICORES 2016, 5th International Conference on Operations Research and Enterprise Systems. Proceedings  
Conference
International Conference on Operations Research and Enterprise Systems (ICORES) 2016  
DOI
10.5220/0005752403130322
Additional full text version
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Language
English
Fraunhofer-Institut für Produktionstechnologie IPT  
Keyword(s)
  • discrete event simulation

  • manufacturing

  • Supply Chain

  • procurement risks

  • risk management

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