CLASS: An algorithm for cellular manufacturing system and layout design using sequence data

Robotics and Computer-Integrated Manufacturing

Volumn 24, Issue 3, 2008, Pages 488-497

  Mahdavi, Iraj ^a   Mahadevan, B ^b  

^a DEPARTMENT OF INDUSTRIAL ENGINEERING   (Iran)

^b INDIAN INSTITUTE OF MANAGEMENT BANGALORE   (India)

Author keywords

CMS design; Layout design; Sequence data

Indexed keywords

COMPUTATION THEORY; COMPUTER INTEGRATED MANUFACTURING; DATA ACQUISITION; INFORMATION RETRIEVAL; PROBLEM SOLVING;

CMS DESIGN; LAYOUT DESIGN; SEQUENCE DATA;

CELLULAR MANUFACTURING;

EID: 39749085262     PISSN: 07365845     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rcim.2007.07.011     Document Type: Article

References (35)

1. Sarker B.R., and Xu Y. Operation sequences-based cell formation methods: a critical survey. Prod Plan Control 9 (1998) 771-783
2. Singh N. Design of cellular manufacturing systems: an invited review. Eur J Oper Res 69 (1993) 284-291
3. Wemmerlov U., and Hyer N.L. Procedures for the part-family/machine group identification problem in cellular manufacturing. J Oper Manage 6 2 (1986) 125-147
4. Askin R.G., and Subramanian S.P. A cost-based heuristic for group technology configuration. Int J Prod Res 25 (1987) 101-113
5. Harhalakis G., Nagi R., and Proth J.M. An efficient heuristic in manufacturing cell formation for group technology applications. Int J Prod Res 28 (1990) 185-198
6. Vakharia A.J., and Wemmerlov U. Designing a cellular manufacturing system: a materials flow approach based on operations sequences. IIE Trans 22 (1990) 84-97
7. Ballakur A., and Steudel H.J. A within-cell utilization based heuristic for designing cellular manufacturing systems. Int J Prod Res 25 (1987) 639-665
8. Wei J.C., and Gaither N. An optimal model for cell formation decisions. Decision Sci 21 (1990) 416-433
9. Shafer S.M., and Rogers D.F. A goal programming approach to the cell formation problem. J Oper Manage 10 (1991) 28-43
10. Lee S.-D., and Chen Y.-L. A weighted approach for cellular manufacturing design: minimising inter-cell movement and balancing workload among duplicate machines. Int J Prod Res 35 (1997) 1125-1146
11. Kiang M.Y., Kulkarni U.R., and Tam K.Y. Self-organizing map network as an interactive clustering tool-an application to group technology. Decision Support Syst 15 (1995) 351-374
12. Nair G.J., and Narendran T.T. CASE: a clustering algorithm for cell formation with sequence data. Int J Prod Res 36 (1998) 157-179
13. Won Y., and Lee K.C. Group technology cell formation considering operation sequences and production volumes. Int J Prod Res 39 (2001) 2755-2768
14. Jayaswal S., and Adil G.K. Efficient algorithm for cell formation with sequence data, machine replications and alternative process routings. Int J Prod Res 42 (2004) 2419-2433
15. Selvam R.P., and Balasubramanian K.N. Algorithmic grouping of operation sequences. Eng Costs Prod Econ 9 (1985) 125-134
16. Choobineh F. A framework for the design of cellular manufacturing systems. Int J Prod Res 26 (1988) 1161-1172
17. Tam K.Y. An operation sequence based similarity coefficient for part family formations. J Manuf Syst 9 (1988) 55-68
18. Suresh N.C., Slomp J., and Kaparthi S. Sequence-dependent clustering of parts and machines: a Fuzzy ART neural network approach. Int J Prod Res 37 (1999) 2793-2816
19. Kang S.L., and Wemmerlöv U. A work load-oriented heuristic methodology for manufacturing cell formation allowing reallocation of operations. Eur J Oper Res 69 (1993) 292-311
20. Park S., and Suresh N.C. Performance of Fuzzy ART neural network and hierarchical clustering for part-machine grouping based on operation sequences. Int J Prod Res 41 (2003) 3185-3216
21. Irani S.A., Cavalier T.M., and Cohen P.H. Virtual manufacturing cells: exploiting layout design and intercell flows for the machine sharing problem. Int J Prod Res 31 (1993) 791-810
22. Liao T.W. Design of line-type cellular manufacturing systems for minimum operating and material-handling costs. Int J Prod Res 32 (1994) 387-397
23. Arvindh B., and Irani S.A. Principal component analysis for evaluating the feasibility of cellular manufacturing without initial machine-part clustering. Int J Prod Res 32 (1994) 1909-1938
24. Akturk M.S., and Balkose H.O. Part-machine grouping using a multi-objective cluster analysis. Int J Prod Res 34 (1996) 2299-2315
25. Heragu S.S., and Kakuturi S.R. Grouping and placement of machine cells. IIE Trans 29 (1997) 561-571
26. Lee S.-D., and Chiang C.-P. A cut-tree-based approach for clustering machine cells in the bidirectional linear flow layout. Int J Prod Res 39 (2001) 3491-3512
27. Chiang C.-P., and Lee S.-D. A genetic-based algorithm with the optimal partition approach for the cell formation in bi-directional linear flow layout. Comput Integr Manuf 17 (2004) 346-375
28. Kusiak A., and Heragu S.S. The facility layout problem. Eur J Oper Res 29 (1987) 229-251
29. Heragu S.S. Recent models and techniques for solving the layout problem. Eur J Oper Res 57 (1992) 136-144
30. Houshyar A., and McGinnis L.F. A heuristic for assigning facilities to locations to minimize WIP travel distance in a linear facility. Int J Prod Res 28 (1990) 1485-1498
31. Afentakis P. A loop layout design problem for flexible manufacturing systems. Int J Flexible Manuf Syst 1 (1989) 175-196
32. Kim C.O., Baek J.G., and Baek J.K. A two-phase heuristic algorithm for cell formation problems considering alternative part routes and machine sequence. Int J Prod Res 42 (2004) 3911-3927
33. Yin Y., and Yasuda K. Reconsidering generalized similarity coefficient via a sequence ratio. Int J Ind Eng-Theory Appl Practice 11 (2004) 140-150
34. Yin Y., Yasuda K., and Hu L. Formation of manufacturing cells based on material flows. Int J Adv Manuf Technol 27 (2005) 159-165
35. Xambre A.R., and Vilarinho P.M. A simulated annealing approach for manufacturing cell formation with multiple identical machines. Eur J Oper Res 151 (2003) 434-446