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Communication Dans Un Congrès Année : 2023

NSGA-II for Solving a Multi-objective, Sustainable and Flexible Job Shop Scheduling Problem

Résumé

Recently, sustainable scheduling has emerged to make the trade-off between economic, environmental and social factors. While classical scheduling research focuses on economic and environmental indicators such as makespan and energy consumption, modern human-centred manufacturing systems consider additional important factors such as workers' well-being and ergonomic risks. This study proposes a multiobjective mathematical model that jointly optimizes the makespan, the total energy consumption, and the OCRA (Occupational Repetitive Actions) index (a measure of ergonomic risk) in the case of a flexible job shop. The model has the originality of also taking into account the travel times of operators and products between machines. We use the NSGA-II method to solve it. The first results allow us to analyze the mutual influences of the criteria and demonstrate the advantage of such a method to obtain a good compromise between the three objectives in a reasonable resolution time.
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Dates et versions

hal-04208130 , version 1 (15-09-2023)

Identifiants

Citer

Candice Destouet, Houda Tlahig, Belgacem Bettayeb, Bélahcène Mazari. NSGA-II for Solving a Multi-objective, Sustainable and Flexible Job Shop Scheduling Problem. APMS 2023: Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures, IFIP Working Group 5.7 on Advances in Production Management Systems, Sep 2023, Trondheim ( Norvège), Norway. pp.548-562, ⟨10.1007/978-3-031-43670-3_38⟩. ⟨hal-04208130⟩
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