A decision support system for strategic supply chain capacity planning under uncertainty: conceptual framework and experiment - IMT Mines Albi-Carmaux Access content directly
Journal Articles Enterprise Information Systems Year : 2022

A decision support system for strategic supply chain capacity planning under uncertainty: conceptual framework and experiment

Raphaël Oger
Matthieu Lauras
Benoit Montreuil
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Frederick Benaben

Abstract

Supply chains now cope with a lot of uncertainties, and their stakeholders are intensely interconnected, revealing new opportunities at a tremendous pace. In this context, companies must rethink their decision support systems to remain competitive. Particularly strategic supply chain capacity planning systems that should ensure resource availability. Unfortunately, existing systems do not satisfactorily consider this new deal. Therefore, this paper develops a conceptual framework providing guidelines for designing a decision support system for strategic supply chain capacity planning under uncertainty. To validate the conceptual framework, a decision support system has been designed accordingly, and two industrial experiments have been conducted.
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Dates and versions

hal-02901588 , version 1 (03-09-2020)

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Raphaël Oger, Matthieu Lauras, Benoit Montreuil, Frederick Benaben. A decision support system for strategic supply chain capacity planning under uncertainty: conceptual framework and experiment. Enterprise Information Systems, 2022, 16 (5), pp.804-848. ⟨10.1080/17517575.2020.1793390⟩. ⟨hal-02901588⟩
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