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

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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Submitted on : Thursday, September 3, 2020 - 11:45:10 AM
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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, Taylor & Francis, In press, ⟨10.1080/17517575.2020.1793390⟩. ⟨hal-02901588⟩

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