Communication Dans Un Congrès Année : 2024

A Mixed-Integer Linear Programming Approach to Optimize Return Strategies in Remanufacturing System

Résumé

This study addresses a production planning problem in a remanufacturing system, where the objective is to determine the amount of used products of different qualities that need to be recovered in order to produce remanufactured products that meet customer demands, while minimizing total costs, which include used product return costs, remanufacturing costs, start-up costs and storage costs. To achieve this objective, a new mixed-integer linear programming (MILP) model is developed for this problem. This model is evaluated through computational experiments conducted under different scenarios, considering limited or unlimited quantities of used products and different period lengths. The results of this study illustrate the effectiveness and efficiency of the proposed model in minimizing costs and meeting customer demands of remanufactured products.

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Dates et versions

hal-05242481 , version 1 (05-09-2025)

Identifiants

Citer

Houria Lahmar, Mohammed Dahane, Nadia Kinza Mouss, Mohammed Haoues. A Mixed-Integer Linear Programming Approach to Optimize Return Strategies in Remanufacturing System. 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT 2024), Jul 2024, La Vallette, Malta. pp.1903-1908, ⟨10.1109/CoDIT62066.2024.10708163⟩. ⟨hal-05242481⟩
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