CARIMO - A heuristic approach to machine-part cell formation
This paper presents a correlation analysis-based heuristic for the machine-part cell formation in the context of cellular manufacturing systems. Two new indices, viz. “ mean correlation index” for forming the part families and “ relevance index - modified” for identifying the appropriate machine cel...
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Veröffentlicht in: | Sadhana (Bangalore) 2021, Vol.46 (2), Article 66 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | This paper presents a correlation analysis-based heuristic for the machine-part cell formation in the context of cellular manufacturing systems. Two new indices, viz. “
mean correlation index”
for forming the part families and “
relevance index
-
modified”
for identifying the appropriate machine cells are proposed. The machine-part cells formed by the proposed heuristic resulted in a higher grouping efficacy (GE) for 14.3% of the test instances gathered from the literature, and it performed equal to the best in class heuristics available in the literature for 80% of the test instances. The method presented in this paper has set a new benchmark GE for 5 of the 35 test instances used by the researchers in the context of machine-part cell formation without singletons. |
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ISSN: | 0256-2499 0973-7677 |
DOI: | 10.1007/s12046-021-01575-7 |