A force-inspired paradigm for performance-based decision support—Physics of Decision application in nonlinear dynamical systems - IMT Mines Albi-Carmaux
Article Dans Une Revue Journal of Industrial Information Integration Année : 2024

A force-inspired paradigm for performance-based decision support—Physics of Decision application in nonlinear dynamical systems

Résumé

This paper provides a perspective on performance-based decision support. The chosen approach is based on the principles of “Physics of Decision”, which considers the performance of a system as a physical trajectory within the boundaries of its performance indicators that might be deviated through variation of system parameters. According to the overall premise of employing the state-space method to simulate physical systems, this work presents a decision aggregation method in dynamic systems. The core contribution is to propose a multi-criteria performance framework to manage multi-input-multi-output (MIMO) system performance with a combination of affordable decisions. A nonlinear inventory-workforce management model has been used to demonstrate the proposed approach.
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Dates et versions

hal-04632304 , version 1 (10-07-2024)

Identifiants

Citer

Nafe Moradkhani, Frederick Benaben, Benoit Montreuil, Matthieu Lauras, Thibaut Cerabona, et al.. A force-inspired paradigm for performance-based decision support—Physics of Decision application in nonlinear dynamical systems. Journal of Industrial Information Integration, 2024, 41, pp.100656. ⟨10.1016/j.jii.2024.100656⟩. ⟨hal-04632304⟩
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