Abstract
A comparison of two different models for solving machine cluster formation problems in cellular manufacturing is presented in this paper. The models focus on minimizing total part handling operations evaluated as a weighted sum of inter- and intracell moves. The concept used in the evaluation of intercell moves accounts for the difference between the two models. The utilization rate of active workstations has also been incorporated as an important measure and a targeted minimum utilization of 50% is used in this study. Performance of the models have been evaluated by the application of an example problem which has frequently appeared in published literature. The results indicate one model is significantly more attractive as a decision making tool for use in discrete parts manufacturing.
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