A new bi-objective mathematical model for sustainable dynamic cellular manufacturing systems

Abstract : This study addresses dynamic cell configuration and labor assignment by making a trade-off between economic, social and environmental criteria which is called as sustainability configuration. In order to improve the study about energy loss, a new bi-objective mathematical model is presented. The first objective of model minimizes cost criteria and the second one energy loss which is represented by the efficiency of each machine. We develop a Non-dominated Sorting Genetic Algorithm (NSGA-II) in order to solve our model. The applicability of our approach is illustrated by two test problems.
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https://hal.archives-ouvertes.fr/hal-01789206
Contributor : Valérie Botta-Genoulaz <>
Submitted on : Wednesday, May 9, 2018 - 6:31:39 PM
Last modification on : Wednesday, June 5, 2019 - 8:32:35 AM

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Farzad Niakan, Armand Baboli, Thierry Moyaux, Valérie Botta-Genoulaz. A new bi-objective mathematical model for sustainable dynamic cellular manufacturing systems. 21st IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2014), Dec 2014, Selangor Darul Ehsan, Malaysia. pp.938-942, ⟨10.1109/IEEM.2014.7058776⟩. ⟨hal-01789206⟩

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