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Multi-Objective Cellular Manufacturing System under Machines with Different Life-Cycle using Genetic Algorithm
Abstract:In this paper a multi-objective nonlinear programming model of cellular manufacturing system is presented which minimize the intercell movements and maximize the sum of reliability of cells. We present a genetic approach for finding efficient solutions to the problem of cell formation for products having multiple routings. These methods find the non-dominated solutions and according to decision makers prefer, the best solution will be chosen.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1330239Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1660
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