 An improved clustering heuristic in cellular manufacturing systemsArindam Majumder and Dipak Laha International Journal of Operational Research, 2024, vol. 51, issue 2, 189-224 Abstract: This paper presents a construction heuristic in cellular manufacturing systems with the objective of maximising grouping efficacy. The proposed method is derived from three criteria, namely, Pearson correlation coefficient, the concentration of operations for a particular machine cell pair or a part family pair, and the density of operations for a particular machine-part cell comprising a machine cell and a part family. The proposed method consists of two phases. In the first phase, the machine-groups and part-families are constructed using Pearson correlation coefficient clustering technique. The second phase involves in selecting the machine-groups and part-families to build the respective machine-part cells to cluster machines and parts into the corresponding machine-groups and part families for the cellular manufacturing problem. The exhaustive computational results based on a set of different benchmark problem instances demonstrate that the proposed method is relatively superior to some well-known state-of-the-art methods. Keywords: cellular manufacturing; group technology; grouping efficacy; construction heuristic; correlation coefficient; concentration of operations; density of operations; optimisation. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:51:y:2024:i:2:p:189-224 Access Statistics for this article More articles in International Journal of Operational Research from Inderscience Enterprises Ltd |
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