Accord: A bicriterion algorithmfor cell formation using ordinal and ratio-level data

International Journal of Production Research

Volumn 37, Issue 3, 1999, Pages 539-556

  Nair, G Jayakrishnan ^a   Narendran, T T ^b  

^a Ramco Systems   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; DATA STRUCTURES; PROCESS ENGINEERING; PRODUCTION ENGINEERING;

NON-HIERARCHICAL CLUSTERING ALGORITHM;

CELLULAR MANUFACTURING;

EID: 0033080318     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/002075499191661     Document Type: Article

References (38)

1. Anderberg, M. R., 1973, Cluster analysis for applications (New York: Academic Press).
2. Askin, D. G., Cresswell, S. H., Goldberg, J. B. and Vakharia, A. J., 1991, A hamiltonian path approach to re-ordering the part-machine matrix for cellular manufacturing. International Journal of Production Research, 29, 1081-1100.
3. Burbidge, J. L., 1977, A manual method of production flow analysis. Production Engineer, 56, 34-38.
4. Chandrasekharan, M. P. and Rajagopalan, R., 1986. An ideal seed non-hierarchical clustering algorithm for cellular manufacturing. International Journal of Production Research, 24, 451-464.
5. Chandrasekharan, M. P. and Rajagopalan, R., 1987, ZODIAC—an algorithm for concurrent formation of part-families and machine-cells. International Journal of Production Research, 25, 835-850.
6. Choobineh, F., 1988. A framework for the design of cellular manufacturing systems. International Journal of Production Research, 26, 1161-1172.
7. Chu, C. H., 1989, Cluster analysis in manufacturing cellular formation. Omega, 17, 289-295.
8. Everitt, 1980, Cluster Analysis (New York: Halsted Press).
9. Garey, M. R. and Johnson, D. S., 1976, Computers and Intractability: a Guide to the Theory of NP-completeness (San Franscisco, CA: Freeman).
10. Gupta, T. and Seifoddini, H., 1990, Production data based similarity coefficient for machine-component grouping decisions in the design of a cellular manufacturing system International Journal of Production Research, 28, 1247-1269.
11. Harhalakis, G., Nagi, R. and Proth, J. M., 1990, An efficient heuristic in manufacturing cell formation for group technology applications. International Journal of Production Research, 28, 185-198.
12. Kandiller, L., 1994, A comparative study of cell formation in cellular manufacturing systems. International Journal of Production Research, 32, 2395-2429.
13. Kusiak, A. and Cho, M., 1992, Similarity coefficient algorithms for solving the group technology problem. International Journal of Production Research, 30, 2633-2646.
14. Liang, M. and Taboun, S. M., 1995, Converting functional manufacturing systems into focused machine cells—a bicriterion approach. International Journal of Production Research, 33, 2147-2161.
15. MacQueen, J. B., 1967, Some methods for classification and analysis of multivariate observations. Proceedings of the 5th Symposium on Mathematical Statistics and Probability, University of California, Berkeley, CA, pp. 281-297.
16. MeCauley, J., 1972, Machine grouping for efficient production. Production Engineer, 51, 53-57.
17. Min, H. and Shin, D., 1993, Simultaneous formation of machine and human cells in group technology: a multiple objective approach. International Journal of Production Research, 31, 2307-2318.
18. Mitrofanov, S. P., 1966, The Scientific Principles of Group Technology (Boston Spa, Yorkshire, UK: National Lending Library Translation).
19. Mosier, C., 1989, An experimental investigating the application of clustering procedures and similarity coefficients to the GT machine cell formation problem. International Journal of Production Research, 27, 1811-1836.
20. Offodile, O. F., Mehrez, A. and Grznar, J., 1994, Cellular manufacturing: a taxonomic review framework. Journal of Manufacturing Systems, 13, 196-220.
21. Nash, J. F., 1950, The bargaining problem. Econometrica, 21, 155-162.
22. Seifoddini, H. and Wolfe, P. M., 1986, Application of similarity coefficient in GT. IIE Transactions, 18, 271-277.
23. Seifoddini, H. and Hsu, C. P., 1994, Comparative study of similarity coefficients and clustering algorithms in cellular manufacturing. Journal of Manufacturing Systems, 13, 119-127.
24. Seifoddini, H. and Djassemi, M., 1995, Merits of the production volume based similarity coefficient in the machine cell formation. Journal of Manufacturing Systems, 14, 35-44.
25. Shafer, S. M. and Meredith, J. R., 1990, A comparison of selected manufacturing cell formation techniques. International Journal of Production Research, 28, 661-673.
26. Shafer, S. M. and Rogers, D. F., 1991, A goal programming approach to the cell formation problem. Journal of Operations Management, 10, 28-43.
27. Shafer, S. M. and Rogers, D. F., 1993, Similarity and distance measures for cellular manufacturing—Part I: A survey. International Journal of Production Research, 31, 1133-1142.
28. Singh, N., Aneja, Y. P. and Rana, S. P., 1992, A bicriterion framework for operations assignment and routing flexibility analysis in cellular manufacturing systems. European Journal of Operational Research, SpecialIssue on Manufacturing Flexibility, 60, 200-210.
29. Singh, N., 1993, Design of cellular manufacturing systems: an invited review. European Journal of Operations Research, 69, 284-291.
30. Srinivasan, G., Narendran, T. T. and Mahadevan, B., 1990, An assignment model for the part-families problem in group technology. International Journal of Production Research, 28, 145-152.
31. Srinivasan, G. and Narendran, T. T., 1991, GRAFICS—a non-hierarchical clustering algorithm for group technology. International Journal of Production Research, 29, 463-478.
32. Ting, L. L., Dessouky, M. M., Ravikumar, K. and Shu, M. N., 1996, A heuristic-based procedure for the weighted production-cell formation problem. IIE Transactions, 218, 579-589.
33. Vakharia, A. J. and Wemmerlov, U., 1995, A comparative investigation of hierarchical clustering techniques and dissimilarity measures applied to the cell formation problem. Journal of Operations Management, 13, 117-138.
34. Venugopal, V. and Narendran, T. T., 1990, An interactive procedure for multiobjective optimization using Nash bargaining principle. Decision Support Systems, 6, 261-268.
35. Venugopal, V. and Narendran, T. T., 1992a, A genetic algorithmic approach to the machine-component grouping problem with multiple objective. Computers and Industrial Engineering, 22, 469-480.
36. Venugopal, V. and Narendran, T. T., 1992b, Cell formation in manufacturing systems through simulated annealing; an experimental evaluation. European Journal of Operational Research, 63, 409-422.
37. Waghodekar, P. H. and Sahu, H., 1984, Machine-component cell formation in GT: MACE. International Journal of Production Research, 22, 937-948.
38. Wei, J. C. and Gaither, N., 1990, A capacity constrained multi-objective cell formation method. Journal of Manufacturing Systems, 9, 222-232.