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Conference Papers Year : 2021

Atomic Supply Chain Modelling for Risk Management based on SCOR

Abstract

At the time of instability becomes the norm (climate changes, natural disasters, epidemic, etc.) the management of collaborative networks, such as supply chains, is becoming more and more complex and critical. This instability only adds to the complexity of an already very complex system. Thus, supply chain managers have to adapt to multi-dimensional complex situations. Dealing with instability is a key expectation for these managers. One tool to help managers make decisions in this unstable environment is simulation. This article introduces some first results on an “atomic” reconfigurable supply chain simulation model based on Supply Chain Operations Reference (SCOR) model. This simulation tool will be used to apply an innovative physics-based approach of risk and opportunity management, that designs disturbances by forces moving the considered supply chain within its performance framework. This approach enables managers to monitor supply chain’s performance trajectory by viewing and merging the impact of risks and opportunities.
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Dates and versions

emse-03346631 , version 1 (25-11-2021)

Identifiers

Cite

Thibaut Cerabona, Matthieu Lauras, Jean-Philippe Gitto, Benoit Montreuil, Frederick Benaben. Atomic Supply Chain Modelling for Risk Management based on SCOR. 22nd Working Conference on Virtual Enterprises (PRO-VE 2021), Nov 2021, Saint-Etienne, France. pp.601-610, ⟨10.1007/978-3-030-85969-5_56⟩. ⟨emse-03346631⟩
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