Designing cellular manufacturing systems with dynamic part populations
The effectiveness of a cellular manufacturing system is sensitive to fluctuations in the demand for products and the product mix. This paper presents a new formulation of the part family/machine cell formation problem that addresses the dynamic nature of the production environment by considering a multi-period forecast of product mix and demand during the formation of part families and machine cells. The goal of the multi-period formulation is to obtain a cellular design that continues to perform well with respect to the design objectives as the part population changes with time.
- Wemmerlöv, U. and Johnson, D.J. (1997) Cellular manufacturing at 46 user plants: implementation experiences and performance improvements. International Journal of Production Research, 35(1), 29–49.
- Burbidge, J.L. (1963) Production flow analysis. Production Engineer, 42, 742–752.
- Wemmerlöv, U. and Hyer, N.L. (1986) Procedures for the part family/machine group identification problem in cellular manufacturing. Journal of Operations Management, 6(2), 125–147.
- Joines, J.A., King, R.E. and Culbreth, C.T. (1996) A comprehensive review of production-oriented manufacturing cell formation techniques. International Journal of Flexible Automation and Intelligent Manufacturing, 3(3/4), 161–200.
- Vakharia, A.J. and Kaku, B.K. (1993) Redesigning a cellular manufacturing system to handle long-term demand changes: a methodology and investigation. Decision Sciences, 24(5), 909–929.
- Seifoddini, H. and Djassemi, M. (1996) Sensitivity analysis in cellular manufacturing in the case of product mix variations. Computers and Industrial Engineering, 31(1/2), 163–167.
- Seifoddini, H. (1990) A probabilistic model for machine cell formation. Journal of Manufacturing Systems, 9(1), 69–75.
- Harhalakis, G., Ioannou, G., Minis, I. and Nagi, R. (1994) Manufacturing cell formation under random product demand. International Journal of Production Research, 32(1), 47–64.
- Ballakur, A. and Steudel, H.J. (1987) A within-cell utilization based heuristic for designing cellular manufacturing systems. International Journal of Production Research, 25(5), 639–665.
- Wemmerlöv, U. and Hyer, N.L. (1987) Research issues in cellular manufacturing. International Journal of Production Research, 25(3), 413–431.
- Jordan, P.C. and Frazier, G.V. (1993) Is the full potential of cellular manufacturing being achieved? Production and Inventory Management Journal, 34(1) First Quarter, 70–71.
- Offodile, O.F., Mehrez, A. and Grznar, J. (1994) Cellular manufacturing: a taxonomic review framework. Journal of Manufacturing Systems, 13(3), 198–220.
- Chu, C.-H. (1995) Recent advances in mathematical programming for cell formation, in Planning, Design, and Analysis of Cellular Manufacturing Systems, Kamrani, A.K., Parsaei, H.R., and Liles, D.H., (eds), Elsevier Science, Amsterdam, The Netherlands. pp. 3–46.
- Holland, J.H. (1975) Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, MI.
- Venugopal, V. and Narendran, T.T. (1992) A genetic algorithm approach to the machine-component grouping problem with multiple objectives. Computers and Industrial Engineering, 22(4), 469–480.
- Gupta, Y., Gupta, M., Kumar, A. and Sundaram, C. (1996) A genetic algorithm-based approach to cell composition and layout design problems. International Journal of Production Research, 34(2), 447–482.
- Joines, J.A., Culbreth, C.T. and King, R.E. (1996) Manufacturing cell design: an integer programming model employing genetic al-gorithms. IIE Transactions, 28(1), 69–85.
- Goldberg, D.E. (1989) Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, Reading, MA.
- Designing cellular manufacturing systems with dynamic part populations
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