Complete and fractional cell formation using Kohonen self-organizing map networks in a cellular manufacturing system

International Journal of Production Research

Volumn 44, Issue 20, 2006, Pages 4257-4271

  Venkumar, P ^a   Haq, A N ^b  

^a KALASALINGAM UNIVERSITY   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Cell formation; Cellular manufacturing system; Group technology

Indexed keywords

ALGORITHMS; BENCHMARKING; COMPUTATIONAL METHODS; HEURISTIC METHODS; PROBLEM SOLVING; PRODUCTIVITY;

CELL FORMATION; CELLULAR MANUFACTURING SYSTEMS; GROUP TECHNOLOGY (GT); KOHONEN SELF-ORGANIZING MAP (KSOM) NETWORKS;

CELLULAR MANUFACTURING;

EID: 33748500407     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207540500507450     Document Type: Article

References (47)

1. Adil, G., Rajamani, D. and Strong, D., Cell formation considering alternate routings. Int. J. Prod. Res., 1996, 34, 1361-1380.
2. Askin, R.G., Cresswell, S.H., Goldberg, J.B. and Vakharia, A.J., A Hamiltonian path approach to reordering the part-machine matrix for cellular manufacturing. Int. J. Prod. Res., 1991, 29(6), 1081-1100.
3. Askin, R.G. and Subramanian, S.P., A cost based heuristic for grouping technology configuration. Int. J. Prod. Res., 1987, 25(1), 101-113.
4. Baykasoglu, A. and Gindy, N.N.Z., MOCACEF: multiple objective capability based approach to form part machine groups for cellular manufacturing application. Int. J. Prod. Res., 2000, 38(5), 1133-1161.
5. Boctor, F.F., A linear formulation of the machine-part cell formation problem. Int. J. Prod. Res., 1991, 29(2), 343-356.
6. Carrie, A.S., Numerical taxonomy applied to group technology and plant layout. Int. J. Prod. Res., 1973, 11(4), 399-416.
7. Chandrasekharan, M.P. and Rajagopalan, R., An ideal seed non-hierarchical clustering algorithm for cellular manufacturing. Int. J. Prod. Res., 1986, 24(2), 451-464.
8. Chandrasekharan, M.P. and Rajagopalan, R., An ideal seed non-hierarchical clustering algorithm for cellular manufacturing. Int. J. Prod. Res., 1986a, 24(2), 451-464.
9. Chandrasekaran, M.P and Rajagopalan, R., ZODIAC an algorithm for concurrent formation of part families and machine cells. Int. J. Prod. Res., 1987, 25, 835-850.
10. Chandrasekaran, M.P and Rajagopalan, R., GROUPABILITY; an analysis of the properties of binary data matrices for group technology. Int. J. Prod. Res., 1989, 27(6), 1035-1052.
11. Chen, S.J. and Cheng, C.S., A neural network-based cell formation algorithm in cellular manufacturing. Int. J. Prod. Res., 1995, 33(2), 293-318.
12. Chen, D.S, Chen, H.C. and Park, J.M., An improved ART neural net for machine cell formation. J. Mat. Proc. Tech., 1996, 61, 1-6.
13. Chen, M.-L., Wu, C.-M. and Chen, C.-L., An integrated approach of ARTI search to solve cell formation problems. J. Chinese Inst. Indusi. Eng., 2002, 19(3), 62-74.
14. Choobineh, F., A framework for the design of manufacturing systems. Int. J. Prod. Res., 1988, 26, 1161-1172.
15. Daggli, C. and Huggahalli, R., Machine-part family formation with adaptive resonance paradigm. Int. J. Prod. Res., 1995, 33(4), 893-913.
16. Gupta, T. and Seifoddini, H., Production data based similarity coefficient for machine-component grouping decision in the design of a cellular manufacturing system. Int. J. Prod. Res., 1990, 28(7), 247-1269.
17. Gupta, Y., Kumar, A., Gupta, M. and Sundaram, C., A genetic algorithm based approach to cell composition and layout design. Int. J. Prod. Res., 1996, 34(2), 447-482.
18. Hsu, C.M. and Su, T.C., Multi-objective machine component grouping in cellular manufacturing. A genetic algorithm. Prod. Plan. & Cont., 1998, 9, 155-166.
19. Kaparthi, S. and Suresh, N.C., A neural network system for shape-based clssification and coding of rotational parts. Int. J. Prod. Res., 1991, 29, 1771-1784.
20. Kaparthi, S. and Suresh, N.C., Machine-component cells formation in-group technology: a neural network approach. Int. J. Prod. Res., 1992, 30(6), 1353-1367.
21. King, J.R., Machine-component grouping in production flow analysis: an approach using a rank order-clustering algorithm. Int. J. Prod. Res., 1980, 18, 213-232.
22. King, J.R. and Nakornchai, V., Machine-component group formation in group technology: review and extension. Int. J. Prod. Res., 1982, 20, 117-133.
23. Kumar, K.R., Kusiak, A. and Vannelli, A., Grouping of parts and components in flexible manufacturing systems. Euro. J. Op. Res., 1986, 24, 387-397.
24. Kumar, K.R. and Vannelli, A., Strategic subcontracting for efficient disaggregated manufacturing. Int. J. Prod. Res., 1987, 25(4), 1715-1728.
25. Kusiak, A. and Cheng, C.H., A branch-and-bound algorithm for solving the group technology problem. Ann. Op. Res., 1990, 26, 415-431.
26. Kusiak, A. and Chung, Y., GT/ART: using neural networks to form machine cells. Manuf. Rev., 1991,44, 293-301.
27. Kusiak, A., The generalised group technology concept. Int. J. Prod. Res., 1987, 25(4), 561-569.
28. Lee-Post, A., Part family identification using a simple genetic algorithm. Int. J. Prod. Res., 2000, 38(4), 793-810.
29. Liao, T.W. and Chen, L.J., An evaluation of ARTI neural models for GT part family and machine cell forming. J. Manuf. Syst., 1993, 124, 282-290.
30. Logendran, R., Ramakrishnan, P. and Sriskandarajah, C., Tabu search based heuristics for cellular manufacturing system in the presence of alternate process plan. Int. J. Prod, Res., 1994, 33, 675-695.
31. McAuley, J., Machine grouping for efficient production. Prod. Eng., 1972, 51(2), 53-57.
32. McCormick, W.T., Schweitzer Jr, P.J. and White, T.W., Problem decomposition and data reorganisation by a clustering technique. Op. Res., 1972, 20(5), 993-1009.
33. Malave, C.O. and Ramachandran, S., Neural network-based design of cellular manufacturing systems. J. Intel. Manuf., 1991, 2(5), 305-314.
34. Moon, Y., Interactive activation and competition model for machine-part family formation. Proceedings of the International Conference on Neural Networks, Washington, D.C., 1990, 2, 667-670.
35. Mukhopadyay, S.K., Ramesh Babu, K. and Vijai Sai, K.V. Modified Hamiltonian chain: a graph theoretic approach to group technology. Int. J. Prod. Res., 1994, 32, 2459-2470.
36. Murthy, Ch.V.R. and Srinivasan, G., Fractional cell formation in-group technology. Int. J. Prod. Res., 1995, 33(5), 1323-1337.
37. Nair, G.J.K. and Narendran, T.T., CASE: a clustering algorithm for cell formation with sequence data. Int. J. Prod. Res., 1998, 36(1), 157-179.
38. Rajagopalan, R. and Batra, J.L., Design of cellular production system. A graph theoretic approach. Int. J. Prod. Res., 1975, 13(6), 567-579.
39. Sofianopoulou, S., Manufacturing cells design with alternate process plans and/or replicate machines. Int. J. Prod. Res., 1999, 37, 707-720.
40. Sofianopoulou, S., Application of simulated annealing to a linear model for the formulation of machine cells in group technology. Int. J. Prod. Res., 1997, 35(2), 501-511.
41. Srinivasan, G., Narendran, T.T. and Mahadevan, B., An assignment model for the part-families problem in group technology. Int. J. Prod. Res., 1990, 28(1), 145-152.
42. Srinivasan, G., A clustering algorithm for machine cell formation in group technology using minimum spanning trees. Int. J. Prod. Res., 1994, 32, 2149-2158.
43. Srinivasan, G. and Narendran, T.T., GRAFICS: a non-hierarchical clustering algorithm for group technology. Int. J. Prod. Res., 1991, 29(3), 463-478.
44. Srinivasan, G. and Zimmers, Jr. E.W. Fractional cell formation-issues and approaches. Int. J. Ind. Eng-Theory, 1998, 5, 257-264.
45. Venugopal, V. and Narendran, T.T., Machine-cell formation through neural network models. Int. J. Prod. Res., 1994, 32(9), 2105-2116.
46. Wei, J.C. and Kern, G.M., Commonality analysis: a linear cell clustering algorithm for group technology. Int. J. Prod. Res., 1989, 27(12), 2053-2062.
47. Zhao, C. and Wu, Z., A genetic algorithm for manufacturing cell formation with multiple routes and multiple objectives. Int. J. Prod. Res., 2000, 38(2), 385-395.