Multi-Objective Cellular Manufacturing System under Machines with Different Life-Cycle using Genetic Algorithm

نویسندگان

  • N. Javadian
  • J. Rezaeian
  • Y. Maali
چکیده

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. Keywords—Cellular Manufacturing, Genetic Algorithm, Multiobjective, Life-Cycle.

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تاریخ انتشار 2012