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A Physics-Based Approach for Managing Supply Chain Risks and Opportunities Within Its Performance Framework

Abstract : Managing a Collaborative Network (such as a supply chain) requires setting and pursuing objectives. These can be represented and evaluated by formal Key Performance Indicators (KPIs). Managing a supply chain aims to stretch its KPIs towards target values. Therefore, any Collaborative Network’s goal is to monitor its trajectory within the framework of its KPIs. Currently potentiality (risk or opportunity) management is based on the capacity of managers to analyze increasingly complex situations. The new approach presented in this paper opens the door to a new methodology for supply chain potentiality management. It offers an innovative data-driven approach that takes data as input and applies physical principles for supporting decision-making processes to monitor supply chain’s performance. With that approach, potentialities are seen as forces that push or pull the network within its multi-dimensional KPI space.
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Submitted on : Thursday, December 3, 2020 - 9:51:25 AM
Last modification on : Wednesday, July 21, 2021 - 10:32:13 AM
Long-term archiving on: : Thursday, March 4, 2021 - 6:36:45 PM

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Thibaut Cerabona, Matthieu Lauras, Louis Faugère, Jean-Philippe Gitto, Benoit Montreuil, et al.. A Physics-Based Approach for Managing Supply Chain Risks and Opportunities Within Its Performance Framework. PRO-VE 2020 - 21st Working Conference on Virtual Enterprises, Nov 2020, Valence, Spain. pp.418-427, ⟨10.1007/978-3-030-62412-5_34⟩. ⟨hal-03024852⟩

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