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Comparison of Multiobjective Algorithms for the Assembly Line Balancing Design Problem

Abstract : The proposed article presents a planning method for a mixed-model line under consideration of product, processes and resources alternatives and addresses shortcomings in the current literature. In order to compare product and process alternatives and the impact of the line balancing and equipment selection, a detailed cost model is developed. Four resolution methods, belonging to the family of evolutionary algorithms and swarm intelligence, are proposed. Based on the fine tuning of their parameter values through a Design of Experiment, all algorithms are compared in order to highlight their strengths and weaknesses.
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https://hal-utt.archives-ouvertes.fr/hal-03260744
Contributor : Jean-Baptiste Vu Van Connect in order to contact the contributor
Submitted on : Tuesday, June 15, 2021 - 10:43:50 AM
Last modification on : Friday, August 27, 2021 - 3:14:07 PM

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Jonathan Oesterle, Lionel Amodeo. Comparison of Multiobjective Algorithms for the Assembly Line Balancing Design Problem. 8th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2016, Jun 2016, Troyes, France. pp.313-318, ⟨10.1016/j.ifacol.2016.07.623⟩. ⟨hal-03260744⟩

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