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Assessment of risks in manufacturing using discrete-event simulation

 
: Landtsheer, R. de; Ospina, G.; Massonet, P.; Ponsard, C.; Printz, S.; Jeschke, S.; Härtel, L.; Cube, J.P. von; Schmitt, R.

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Vitoriano, Begoña:
Operations research and enterprise systems. 5th International Conference, ICORES 2016 : Rome, Italy, February 23-25, 2016; Revised selected papers
Berlin: Springer, 2017 (Communications in computer and information science 695)
ISBN: 978-3-319-53981-2 (Print)
ISBN: 978-3-319-53982-9 (Online)
ISBN: 3-319-53981-7
pp.201-222
International Conference on Operations Research and Enterprise Systems (ICORES) <5, 2016, Rome>
English
Conference Paper
Fraunhofer 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 for 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 technique. Our main technical contribution lies in the development of an efficient Discrete E vent 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.

: http://publica.fraunhofer.de/documents/N-502399.html