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Assessment of Risks in Manufacturing Using Discrete-Event Simulation

In: Automation, Communication and Cybernetics in Science and Engineering 2015/2016

Author

Listed:
  • Renaud De Landtsheer

    (CETIC Research Centre)

  • Gustavo Ospina

    (CETIC Research Centre)

  • Philippe Massonet

    (CETIC Research Centre)

  • Christophe Ponsard

    (CETIC Research Centre)

  • Stephan Printz

    (IMA/ZLW & IfU, RWTH Aachen University)

  • Sabina Jeschke

    (IMA/ZLW & IfU, RWTH Aachen University)

  • Lasse Härtel

    (Fraunhofer Institute for Production Technology (IPT))

  • Johann Philipp von Cube

    (Fraunhofer Institute for Production Technology (IPT))

  • Robert Schmitt

    (Fraunhofer Institute for Production Technology (IPT))

Abstract

Due to globalisation, supply chains face an increasing number of risks that impact the procurement process. Even though there are tools that help companies address these risks, most companies, even larger ones, still have problems adequately quantifying the risks on their current process as well as on alternative process. The aim of our work is to provide companies with a software supported method for quantifying procurement risks and establishing adequate strategies for risk mitigation at an optimal cost. Based on the results of a survey on risk management practices and industrial needs, we developed a tool that enables them quantifying these risks. The tool makes it easier to express key risks via a process model that offers an adequate granularity for expressing them. A simulator incorporated in our tool can efficiently evaluate these risks through 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 that can be used to measure business risks from the simulation results. We show the expressiveness and performance of our approach by benchmarking it on a set of cases that are taken from industry and cover a large set of risk categories.

Suggested Citation

  • Renaud De Landtsheer & Gustavo Ospina & Philippe Massonet & Christophe Ponsard & Stephan Printz & Sabina Jeschke & Lasse Härtel & Johann Philipp von Cube & Robert Schmitt, 2016. "Assessment of Risks in Manufacturing Using Discrete-Event Simulation," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Frank Hees & Klaus Henning (ed.), Automation, Communication and Cybernetics in Science and Engineering 2015/2016, pages 869-891, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-42620-4_66
    DOI: 10.1007/978-3-319-42620-4_66
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