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Risk management in supply chains : a simulation and model driven engineering approach

Noah Ben Jbara 1
1 G-SCOP_GCSP [2016-2019] - Gestion et Conduite des Systèmes de Production [2016-2019]
G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production
Abstract : Controlling risks is an important issue for companies. Far from being only the prerogative of natural disasters, the disruptions of today's supply chains can sometimes be caused by minor events amplified by the flaws of increasingly complex industrial organizations, causing severe economic losses.Risk management in supply chains is a recent theme and the proposed solutions are not yet able to meet the needs of practitioners. One of the solutions to analyse risks is using simulation. But, despite its effectiveness to cover the complexity of the chain, it still presents a major weakness which is the difficulty of implementation.The aim of this thesis is to facilitate and to adapt the simulation for risk analysis of supply chains. Thus, we have developed a modeling framework for simulation which enables an easy construction of models of supply chain structure, behavior and if the associated risks. This is done through the proposition of a set of meta-models and libraries, defined on the basis of the SCOR reference model. In addition, we proposed a translation guide for the translation of the conceptual model of supply chains into a simulation model and enabling testing risk scenario. Additionaly, we developed a library of simulation modules.A case study was conducted and the results show the relevance of the proposed approach.
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Noah Ben Jbara. Risk management in supply chains : a simulation and model driven engineering approach. Business administration. Université Grenoble Alpes, 2018. English. ⟨NNT : 2018GREAI003⟩. ⟨tel-01730805⟩

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