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.

KEYWORDS:

• Strategic decision-making
• supply chain
• capacity planning
• decision support systems
• uncertainty
• opportunity

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Acknowledgments

The authors acknowledge IMT Mines Albi’s Pierre Fabre Chair in Agile Supply Chain and Georgia Tech’s Coca-Cola Chair in Material Handling and Distribution for the funding of this research.

Disclosure statement

No conflict of interest.

Notes

1. The Supply Chain Council was founded in 1996 as a non-profit organization which expressly created, and still maintain, the SCOR model as a tool for representing, analyzing, and configuring supply chains. In 2014, the Supply Chain Council merged with the APICS, now called ASCM (Association for Supply Chain Management - ASCM 2019).