Self-organizing map network as an interactive clustering tool—an application to group technology
Decision Support Systems - Special issue on WITS '92
A virtual layout system integrated with polar coordinates-based genetic algorithm
International Journal of Computer Applications in Technology
A comprehensive dynamic cell formation design: Benders' decomposition approach
Expert Systems with Applications: An International Journal
Applying simulated annealing for designing cellular manufacturing systems using MDmTSP
Computers and Industrial Engineering
An Electromagnetism-like algorithm for cell formation and layout problem
Expert Systems with Applications: An International Journal
A genetic algorithm with the heuristic procedure to solve the multi-line layout problem
Computers and Industrial Engineering
Computers and Industrial Engineering
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Cell formation problem in CMS design has received the attention of researchers for more than three decades. However, use of sequence data for cell formation has been a least researched area. Sequence data provides valuable information about the flow patterns of various jobs in a manufacturing system. Therefore, it is only natural to expect that use of sequence data must result in not only identifying the part families and machine groups but also the layout (sequence) of the machines within each cell. Unfortunately, such an approach has not been taken in the past while solving CMS design problem using sequence data. In this paper, we fill this gap in the literature by developing an algorithm that not only identifies the cells but also the sequence of machines in the cells in a simultaneous fashion. The numerical computations of the algorithm with the available problems in the literature indicate the usefulness of the algorithm. Further, it also points to the untapped potential of such an approach to solve CMS design and layout problem using sequence data.