Integrating Uncertainty into a Supply Chain Network for Adaptive S&OP Process - IMT Mines Albi-Carmaux
Communication Dans Un Congrès Année : 2024

Integrating Uncertainty into a Supply Chain Network for Adaptive S&OP Process

Jean Baptiste Vidal
Raphaël Oger
Matthieu Lauras
Jacques Lamothe

Résumé

Instability is the new normal for supply chain networks. In this context, the Adaptive Sales and Operations Planning (AS&OP) process proposed by the Demand-Driven Adaptive-Enterprise model aims to improve the way these supply chain networks manage volatile, uncertain, complex and ambiguous environments. However, the process, as originally defined, reliesmainly on a deterministic maximum likelihood approach, thus limiting its scope. The present research work examines existing strategies for integrating uncertainty into the strategic planning and ultimately proposes an original Decision Support System that integrates uncertainty via interval data and scenario-based planning. An illustrative case study validates this proposal and discusses its limitations.

Domaines

Autre [cs.OH]
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Dates et versions

hal-04732145 , version 1 (11-10-2024)

Identifiants

Citer

Jean Baptiste Vidal, Raphaël Oger, Matthieu Lauras, Jacques Lamothe. Integrating Uncertainty into a Supply Chain Network for Adaptive S&OP Process. PRO-VE 2024 - 25th IFIP WG 5.5 Working Conference on Virtual Enterprises, Oct 2024, Albi, France. pp.243-258, ⟨10.1007/978-3-031-71739-0_16⟩. ⟨hal-04732145⟩
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