[1] Albadawi Z., Bashir H.A., Chen M. (2005), A mathematical approach for the formation of
manufacturing cells; Computer and Industrial Engineering 48; 3-21.
[2] Askin R.G., Subramanian S.P. (1987), A cost-based heuristic for group technology configuration;
International Journal of Production Research 25; 101–113.
[3] Ballakur A., Steudel H.J. (1987), A within-cell utilization based heuristic for designing cellular
manufacturing systems; International Journal of Production Research 25; 639–665.
[4] Choobineh F. (1988), A framework for the design of cellular manufacturing systems; International
Journal of Production Research 26; 1161–1172.
[5] Defersha F.M., Chen M. (2006), A comprehensive mathematical model for the design of cellular
manufacturing systems; International Journal of Production Economics; Article in press.
[6] Harhalakis G., Nagi R., Proth J.M. (1990), An efficient heuristic in manufacturing cell formation for
group technology applications; International Journal of Production Research 28; 185–198.
[7] Jayaswal S., Adil G.K. (2004), Efficient algorithm for cell formation with sequence data, machine
replications and alternative process routings; International Journal of Production Research 42; 2419–
2433.
[8] Kiang M.Y., Kulkarni U.R., Tam K.Y. (1995); Self-organizing map network as an interactive
clustering tool – an application to group technology; Decision Support Systems 15; 351–374.
[9] Lee S-D., Chen Y.-L. (1997), A weighted approach for cellular manufacturing design: minimizing
inter-cell movement and balancing workload among duplicate machines; International Journal of
Production Research 35; 1125–1146.
[10] Mahdavi I., Javadi B., Fallah-Alipour K., Slomp J. (2007), designing a new mathematical model for
cellular manufacturing system based on cell utilization; Applied Mathematics and Computation 190;
662–670.
[11] Nair G.J., Narendran T.T. (1998), CASE: A clustering algorithm for cell formation with sequence data;
International Journal of Production Research 36; 157–179.
[12] Park S., Suresh N.C. (2003), Performance of Fuzzy ART neural network and hierarchical clustering for
part–machine grouping based on operation sequences; International Journal of Production Research
41; 3185–3216.
[13] Sarker B.R., Xu Y. (1998), Operation sequences-based cell formation methods: a critical survey;
Production Planning and Control 9; 771–783.
[14] Selvam R.P., Balasubramanian K.N. (1985), Algorithmic grouping of operation sequences;
Engineering Costs and Production Economics 9; 125-134.
[15] Shafer S.M., Rogers D.F. (1991), A goal programming approach to the cell formation problem;
Journal of Operations Management 10; 28–43.
[16] Singh N. (1993), Design of cellular manufacturing systems: an invited review; European Journal of
Operational Research 69; 284–291.
[17] Suresh N.C., Slomp J., Kaparthi S. (1999), Sequence-dependent clustering of parts and machines: a
Fuzzy ART neural network approach; International Journal of Production Research 37; 2793–2816.
[18] Vakharia A.J., Wemmerlov U. (1990), Designing a cellular manufacturing system: a materials flow
approach based on operations sequences; IIE Transactions 22; 84–97.
[19] Wang S., Sarker B.R. (2002), Locating cells with bottleneck machines in cellular manufacturing
systems; International Journal of Production Research 40; 403-424.
[20] Wemmerlov U., Hyer N.L. (1986), Procedures for the part-family/ machine group identification
problem in cellular manufacturing; Journal of Operations Management 6(2); 125–147.
[21] Wei J.C., Gaither N. (1990), An Optimal Model for Cell Formation Decisions; Decision Sciences 21;
416–433.
[22] Won Y., Lee K.C. (2001), Group technology cell formation considering operation sequences and
production volumes; International Journal of Production Research 39; 2755–2768.
[23] Zolfaghari S., Liang M. (2002), Comparative study of simulated annealing, genetic algorithms and
tabu search for solving binary and comprehensive machine grouping problems; International Journal
of Production Research 40; 2141–2158.