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Article Dans Une Revue Annals of Operations Research Année : 2022

A simulated multi-objective model for flexible job shop transportation scheduling

Résumé

This paper proposes a new dynamic algorithm based on simulation approach and multi-objective optimization to solve the FJSP with transportation assignment. The objectives considered in scheduling jobs and transportation tasks in a flexible job shop manufacturing system include makespan, robot travel distance, time difference with due date and critical waiting time. The results obtained from the computational experiments have shown that the proposed approach is efficient and competitive.
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Dates et versions

hal-04098339 , version 1 (15-05-2023)

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Yiyi Xu, M'hammed Sahnoun, Fouad Ben Abdelaziz, David Baudry. A simulated multi-objective model for flexible job shop transportation scheduling. Annals of Operations Research, 2022, 311 (2), pp.899-920. ⟨10.1007/s10479-020-03600-0⟩. ⟨hal-04098339⟩
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