[1] Mitrofanov, S. P., (1966). The scientific principles of group technology. Boston Spa, Yorks, UK: National Lending Library Translation.
[2] Heragu, S. S., (1994). Group technology and cellular manufacturing. IEEE Transactions on Systems, Man and Cybernetics, 24(2), 203-214.
[3] 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.
[4] Wemmerlov, U., Hyer, N., (1987). Research issues in cellular manufacturing. International Journal of Production Research, 25, 413-31.
[5] Selim, H. M., Askin, R. G. and Vakharia, A.J., (1998). Cell Formation in group technology: review, evaluation and direction for future research. Computers & Industrial Engineering, 34(3), 3-20.
[6] Mansouri, S. A., Moattar-Hussein, S. M. and Newman, S. T., (2000). A review of the modern approaches to multi-criteria cell design. International Journal of Production Research, 38(5), 1201-1218.
[7] Jabalameli, M. S., Arkat, J., Shoresh Sakri, M., (2008), Applying metaheuristics in the generalized cell formation problem considering machine reliability, Journal of the Chinese Institute of Industrial Engineers, 25(4), 261-274.
[8] 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.
[9] 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.
[10] 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.
[11] Onwubolu, G. C., Mutingi, M., (2001), A genetic algorithm approach to cellular manufacturing systems. Computers & Industrial Engineering, 39, 125-144.
[12] 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.
[13] Chen, M. M., Wu, C.M., Chen, C. L. (2002), An integrated approach of ART1 and tabu search to solve cell formation problems, Journal of the Chinese Institute of Industrial Engineers,19(3), 62-74.
[14] Goncalves, J., Resende, M., (2004) An evolutionary algorithm for manufacturing cell formation. Computers & Industrial Engineering, 47, 247-73.
[15] Albadawi, Z., Bashir, H. A., Chen, M., (2005). A mathematical approach for the formation of manufacturing cells. Computers & Industrial Engineering, 48, 3-21.
[16] Mahdavi, I., Javadi, B., F. 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] Yang, M. S., Yang, J. H. (2008). Machine–part cell formation in group technology using a modified ART1 method. European Journal of Operational Research, 188, 140-152.
[18] Mahdavi, I., Paydar, M. M., Solimanpur, M., Heidarzade, A., (2009). Genetic algorithm approach for solving a cell formation problem in cellular manufacturing. Expert Systems with Applications, 36, 6598- 6604.
[19] Díaz, J. A., Luna, D., Luna, R., (2010). A GRASP heuristic for the manufacturing cell formation problem. Top, DOI: 10.1007/s11750-010-0159-3.
[20] Anvari, M., Saidi Mehrabad, M., Barzinpour, F., (2010). Machine–part cell formation using a hybrid particle swarm optimization. International Journal of Advanced Manufacturing Technology, 47, 745-754.
[21] Paydar, M. M., Mahdavi, I., Valipoor Khonakdari, S., Solimanpur, M. (2011). Developing a mathematical model for cell formation in cellular manufacturing systems. International Journal of Operational Research, 11(4), 408-424.
[22] Arkat, A., Hosseini, L., Hosseinabadi Farahani, M., (2011). Minimization of exceptional elements and voids in the cell formation problem using a multi-objective genetic algorithm. Expert Systems with Applications, 38, 9597-9602.
[23] Kara, I., Bektas, T., (2006). Integer linear programming formulations of multiple salesman problems and its variations. European Journal of Operational Research, 174, 1449-1458.
[24] King, R. E., Nakornchai, V., (1982). Machine-component group formation in group technology: Review and extension. International Journal of Production Research, 20(2), 117-133.
[25] Waghodekar, P. H., Sahu, S., (1984). Machine-component cell formation in group technology MACE. International Journal of Production Research, 22, 937- 948.
[26] Seifoddini, H., (1989). A note on the similarity coefficient method and the problem of improper machine assignment in group technology applications. International Journal of Production Research, 1989, 27(7), 1161-1165.
[27] Kusiak, A., Cho, M., (1992). Similarity coefficient algorithm for solving the group technology problem. International Journal of Production Research, 30(11), 2633-2646.
[28] Boctor, F. F., (1991). A linear formulation of the machine-part cell formation problem. International Journal of Production Research, 29(2), 343-56.
[29] Seifoddini, H., (1989). A note on the similarity coefficient method and the problem of improper machine assignment in group technology applications. International Journal of Production Research, 27(7), 1161-1165.
Journal of Control Engineering and Technology (JCET)
JCET Vol. 2 Iss. 4 October 2012 PP. 185-190 www.ijcet.org ○C World Academic Publishing
190
[30] Chandrasekharan, M. P. and Rajagopalan, R., (1986). An ideal seed nonhierarchical clustering algorithm for cellular manufacturing. International Journal of Production Research, 24, 451- 464.
[31] Mosier, C. T., Taube, L., (1985). The facets of group technology and their impact on implementation. OMEGA, 13(5), 381-391.
[32] Chan, H. M., Milner, D. A., (1982). Direct clustering algorithm for group formation in cellular manufacture. Journal of Manufacturing Systems, 1, 65-75.
[33] Zolfaghari, S., Liang, M., (1997), An objective-guided ortho-synapse Hopfield network approach to machine grouping problems. International Journal of Production Research, 35(10), 2773-2792.
[34] Chandrasekharan, M. P., Rajagopalan, R., (1986). MODROC: an extension of rank order clustering for group technology. International Journal of Production Research, 24(5), 1221-1264.
[35] Kumar, C., Chandrasekharan, M., (1990). Grouping efficacy: a quantitative criterion for goodness of block diagonal forms of binary matrices in group technology. International Journal of Production Research, 28, 233-243.
[36] Chandrasekharan, M. P., Rajagopalan, R., (1987). ZODIAC - an algorithm for concurrent formation of part-families and machine-cells. International Journal of Production Research, 25, 835- 850.
[37] Srinivasan, G., Narendran, T. T., (1991). GRAFICS - a non hierarchical clustering algorithm for group technology. International Journal of Production Research, 29, 463- 478.
[38] Cheng, C., Gupta, Y., Lee, W., Wong, K., (1998). A TSP-based heuristic for forming machine groups and part families. International Journal of Production Research, 36, 1325-37.
[39] Tariq, A., Hussain, I., Ghafoor, A. (2009). A hybrid genetic algorithm for machine-part grouping. Computers & Industrial Engineering, 56, 347-356.
Thank you for copying data from http://www.arastirmax.com