Abstract
Cellular manufacturing design is concerned with the creation and operation of manufacturing cells to take the advantage of flexibility, efficient flow and high production rate. Cell formation problem (CFP) is the assignment of part types and machines to specific cells based on their similarity. Several exact and heuristic methods are provided in literature to solve the problem and test problems in literature are commonly used for comparison. This study presents a Clonal Selection Algorithm (CSA) to solve a classical CFP that outperforms current available heuristics in the literature. The number of cells may be critical in the environments where cell formation costs are high and singletons occur in a design. It is concluded that the CFP results should be assessed not only based on efficacy values but also the number of cells.
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