Title :
A new bi-objective mathematical model for sustainable dynamic cellular manufacturing systems
Author :
Niakan, F. ; Baboli, A. ; Moyaux, T. ; Botta-Genoulaz, V.
Author_Institution :
INSA-Lyon, Univ. de Lyon, Villeurbanne, France
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.
Keywords :
cellular manufacturing; economics; genetic algorithms; social sciences; sustainable development; NSGA-II; biobjective mathematical model; dynamic cell configuration; economic criteria; environmental criteria; labor assignment; non-dominated sorting genetic algorithm; social criteria; sustainable dynamic cellular manufacturing systems; Cellular manufacturing; Economics; Energy loss; Firing; Genetic algorithms; Mathematical model; Training; Dynamic cell configuration; bi-objective optimization; non-dominated sorting genetic algorithm; sustainability;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
DOI :
10.1109/IEEM.2014.7058776