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Conference Papers Year : 2022

An Intelligent Decision Support System Inspired by Newton’s Laws of Motion

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Frederick Benaben
Matthieu Lauras
Clara Le Duff
Julien Jeany
  • Function : Author

Abstract

The purpose of this study is to present a novel perspective on decision technology based on classical physics rules, considering risks and opportunities as physical forces deviating systems as an object from their stable states. The forces are created by changing the internal and external characteristics of the system. The ultimate objective is to propose a multi-criteria performance framework within the geometrical space of the system Key Performance Indicators (KPIs) based on classical physics rules by mapping management concepts onto physical notations. The present study is tuned to a model of interaction between the inventory management module and the workforce supply chain to present the main work. In addition, the significance of the study as an intelligent decision system to manage the given model through Newton laws is investigated.
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Dates and versions

hal-03754376 , version 1 (15-09-2022)

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Nafe Moradkhani, Frederick Benaben, Benoit Montreuil, Matthieu Lauras, Clara Le Duff, et al.. An Intelligent Decision Support System Inspired by Newton’s Laws of Motion. 14th International KES Conference (KES-IDT-22), Jun 2022, Rhodes, Greece. pp.523-533, ⟨10.1007/978-981-19-3444-5_45⟩. ⟨hal-03754376⟩
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