An integrated method for multiobjectives cell formation in cellular manufacturing systems
by Bin Hu, Mingyuan Chen, F.M. Defersha
International Journal of Manufacturing Technology and Management (IJMTM), Vol. 11, No. 3/4, 2007

Abstract: In this research, an integrated method was developed to solve a multiobjective cell formation problem. The method consists of an integer programming model, a heuristic algorithm for generating alternative cell formations, a computer simulation model for investigating system performances and a Back Propagation (BP) artificial neural network model for selecting the best system configuration. The criteria considered in solving the overall cell formation problem include system related costs, part completion times, queue lengths and machine utilisation. The BP neural network is designed to incorporate expert experience to evaluate different cell formations considering system costs and performances. Numerical examples are provided to test and illustrate the model and the developed method.

Online publication date: Fri, 20-Apr-2007

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