Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 39, Issue 15, Pages 12026-12031Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2012.03.044
Keywords
Mixed-model assembly line balancing; Make-to-order; Multi-objective genetic algorithm (MOGA); Multi objective evolutionary algorithm (MOEA)
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The present study introduces a multi-objective genetic algorithm (MOGA) to solve a mixed-model assembly line problem (MMALBP), considering cycle time (CT) and the number of stations simultaneously. A mixed-model assembly line is one capable of producing different types of products to respond to different market demands, while minimizing on capital costs of designing multiple assembly lines. In this research, according to the stochastic environment of production systems, a mixed-model assembly line has been put forth in a make-to-order (MTO) environment. Furthermore, a MOGA approach is presented to solve the corresponding balancing problem and the decision maker is provided with the subsequent answers to pick one based on the specific situation. Finally, a comparison is carried out between six multi-objective evolutionary algorithms (MOEA) so as to determine the best method to solve this specific problem. (C) 2012 Elsevier Ltd. All rights reserved.
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