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Communication Dans Un Congrès Année : 2023

Solving a financial supply chain network design model with a large neighborhood search

Résumé

Supply Chain Network Design (SCND) models deal with determining strategic decisions such as where and when to locate facilities, the facilities' capacity, and the product flows in the network. Classically these models are optimized either by minimizing the total logistics costs or maximizing the profit generated by the distribution of goods. These models often omit financial considerations.To integrate the financial dimensions, the objective functions should be replaced by a financial term. For this purpose, we identified Adjusted Present Value (APV) as a suitable financial indicator to be adopted to the SCND models.We propose a SCND mathematical model maximizing the company's value through the Adjusted Present Value (APV) and solve this with a Large Neighborhood Search (LNS) metaheuristic. In particular, we show how the facility location variables, the product flows variables, and the financial variables are set at each iteration of the LNS.
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Dates et versions

hal-04010510 , version 1 (01-03-2023)

Identifiants

  • HAL Id : hal-04010510 , version 1

Citer

Hamidreza Rezaei, Nathalie Bostel, Vincent Hovelaque, Olivier Péton. Solving a financial supply chain network design model with a large neighborhood search. ROADEF 2023 : 24ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Nadjib Brahimi, Feb 2023, Rennes, France. ⟨hal-04010510⟩
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