Title:
Physical Internet inspired Atomic Modeling for Supply Chain Risk Management

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Cerabona, Thibaut
Benaben, Frederick
Gitto, Jean-Philippe
Lauras, Matthieu
Montreuil, Benoit
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Abstract
At a time when instability is the norm, as the global health situation confirms, managers have to deal with increasingly complex situations. Managers expect to have decision support tools that allow them to manage this instability in order to suffer as little as possible. Simulation is one of the main tools to meet this demand. This paper presents the work in progress for the development of a modular supply chain simulation model inspired by the Physical Internet (PI). Its modules are developed from the processes defined in the Supply Chain Operations Reference (SCOR) tool. This simulation model will generate the inputs to apply Physics Of Decision (POD) approach, an innovative approach to risk management approach that draws on analogies with physical forces. This approach is dedicated to steering the performance trajectory of systems evolving in an unstable environment.
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2021-06
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