[1] Adil G. K., Ragamani D., Strong D. (1993), A mathematical model for cell formation considering
investment and operational costs; European Journal of Operational Research 69; 330–341.
[2] Albadawi Z., Bashir H.A., Chen M. (2005), A mathematical approach for the formation of
manufacturing cells; Computers & Industrial Engineering 48; 3–21.
[3] Chen S.J., Cheng C.S. (1995), A neural network based cell formation algorithm in cellular
manufacturing; International Journal of Production Research 33(2); 293- 318.
[4] Collet S., Spicer R. (1995), Improving productivity through cellular manufacturing; Production and
Inventory Management Journal 36(1); 71–75.
[5] Fallahalipour K., Shamsi R., A mathematical model for cell formation in CMS using sequence data
(2008); Journal of Industrial and Systems Engineering 2(2); 144-153.
[6] Goncalves J., Resende M. (2004), An evolutionary algorithm for manufacturing cell formation;
Computers & Industrial Engineering 47; 247–273.
[7] Heragu S.S. (1994), Group technology and cellular manufacturing; IEEE Transactions on Systems,
Man and Cybernetics 24(2); 203–214.
[8] Hyer N. (1984), The Potential of Group Technology for U.S. Manufacturing; Journal of Operations
Management 4(3); 183-202.
[9] Hyer N., Wemmerlov U. (1984), Group technology and productivity; Harvard Business Review, July-
August; 140-149.
[10] Joines J.A., King R.E., Culbreth C.T. (1996), A comprehensive review of production oriented
manufacturing cell formation techniques; International Journal of Flexible Automation and Integrated
Manufacturing 3; 225–265.
[11] Kirkpatrick S., Gelatt C. D., Vecchi M. P. (1983), Optimization by simulated annealing; Science 220; 671-680.
[12] Kusiak A. (1987), The generalized group technology concept; International Journal of Production Research 25(4); 561–569.
[13] Lozano S., Adenso-Diaz B., Eguia I., Onieva L. (1999), A one-step tabu search algorithm for manufacturing cell design; Journal of the Operational Research Society 50; 509–16.
[14] Majeed Ali A. A., Vrat P. (1999), Manufacturing cell formation: a neural network approach; Proceedings of the International Conference on Operations Management for Global Economy Challenges and Prospects; Indian Institute of Technology, New Delhi, India, 565-571.
[15] Mahdavi I., Kaushal O.P., Chandra M. (2001), Graph-neural network approach in cellular manufacturing on the basis of a binary system; International Journal of Production Research 39(13); 2913–2922.
[16] 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.
[17] Megala N., Rajendran C., Gopalan R. (2008), An ant colony algorithm for cell-formation in cellular manufacturing systems; European Journal of Industrial Engineering 2(3); 298-336.
[18] 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.
[19] Onwubolu G.C., Mutingi M. (2001), A genetic algorithm approach to cellular manufacturing systems; Computers & Industrial Engineering 39, 125–44.
[20] Papaioannou G., Wilson J.M. (2010), The evolution of cell formation problem methodologies based on recent studies (1997–2008): Review and directions for future research; European Journal of Operational Research 206(3); 509-521.
[21] Ronald B.H. (1997), Forming minimum-cost machine cells with exceptional parts using zero-one integer programming; Journal of Manufacturing Systems 16(2); 79-90.
[22] Safaei N., Saidi-Mehrabad M., Jabal-Ameli M.S. (2008), A hybrid simulated annealing for solving an extended model of dynamic cellular manufacturing system; European Journal of Operation Research 185; 563–592.
[23] Selim H.M., Askin R.G., Vakharia A.J. (1998), Cell formation in group technology: review, evaluation and directions for future research; Computers and Industrial Engineering 34; 3–20.
[24] Singh N. (1993), Design of cellular manufacturing systems: an invited review; European Journal of Operational Research 69; 284–291.
[25] Singh N., Rajamani D. (1996), Cellular manufacturing systems design, planning and control; Chapman and Hall Publishing; London, UK.
[26] Sofianopoulou S. (1997), Application of simulated annealing to a linear model for the formation of machine cells in group technology; International Journal of Production Research 35, 501–511.
[27] Soleymanpour M., Vrat P., Shanker R. (2002), A transiently chaotic neural network approach to the design of cellular manufacturing; International Journal of Production Research 40(10), 2225-2244.
[28] Wemmerlov U., Hyer N.L. (1989), Cellular manufacturing in the US industry: a survey of users; International Journal of Production Research 27(9); 1511–1530.
[29] Wemmerlov U., Johnson D.J. (1997), Cellular manufacturing at 46 user plants: implementation experiences and performance improvements; International Journal of Production Research 35(1); 29–49.
[30] Wu T., Low C., Wu W. (2004), A tabu search approach to the cell formation problem; International Journal ofAdvanced Manufacturing Technology 23; 916–924.
[31] Wu T.H., Chang C.C., Chung S.H. (2008), A simulated annealing algorithm for manufacturing cell formation problems; Expert Systems with Applications 34; 1609–1617.
[32] Yin Y., Yasuda K. (2006), Similarity coefficient methods applied to the cell formation problem: A taxonomy and review; International Journal of Production Economics 101; 329-352.
)
