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6. BIBLIOGRAFIA

[1] King J, Nakornchai V. Machine-component group formation in group technology: review and extension. International Journal of Production Research 1982;20:117–33.

[2] Waghodekar PH, Sahu S. Machine-component cell formation in group technology:

mace. International Journal of Production Research 1984;22: 937–948.

[3] Seifoddini H. A note on the similarity coefficient method and the problem of improper machine assignment in group technology applications. International Journal of Production Research 1989;27:1161–5.

[4] Kusiak A, Cho M. Similarity coefficient algorithms for solving the group technology problem. International Journal of Production Research 1992;30: 2633–2646.

[5] Boctor FF. A linear formulation of the machine–part cell formation problem.

International Journal of Production Research 1991;29:343–56.

[6] Chandrasekharan MP, Rajagopalan R. Modroc: an extension of rank order clustering for group technology. International Journal of Production Research 1986;24:1221–64.

[7] McCormick Jr WT, Sehweitzer PJ, White TW. Problem decomposition and data reorganization by a clustering technique. Operations Research 1972;20: 993–1009.

[8] Carrie A. Numerical taxonomy applied to group technology and plant layout.

International Journal of Production Research 1973;11:399–416.

[9] Boe WJ, Cheng CH. A close neighbor algorithm for designing cellular manufacturing systems. International Journal of Production Research 1991;29(10):2097–116.

[10] Kumar KR, Vannelli A. Strategic subcontracting for efficient disaggregated manufacturing. International Journal of Production Research 1987;25: 1715–28.

[11] Chandrasekharan MP, Rajagopalan R. ZODIAC an algorithm for concurrent formation of part-families and machine-cells. International Journal of Production Research 1987;25(6):835–50.

[12] Zolfaghari S, Liang M. Comparative study of simulated annealing, genetic algorithms and tabu search for solving binary and comprehensive machine-grouping problems. International Journal of Production Research 2002;40(9):2141–58.

[13] Shafer SM, Rogers DF. Similarity and distance measures for cellular manufacturing. Part II. An extension and comparison. International Journal of Production Research 1993;31(6):1315–26.

[14] Zolfaghari S, Liang M. A new genetic algorithm for the machine/part grouping problem involving processing times and lot sizes. Computer & Industrial Engineering 2002;45:713–31.

[15] Xiangyong Li a, M.F. Baki, Y.P. Aneja An ant colony optimization metaheuristic for machine–part cell formation problems. Computers & Operations Research 37 (2010) 2071–

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[16] M. Frosolini, M. Braglia and F. Zammori. A Modified Harmony Search Algorithm for multi-objective flowshop scheduling problem with due dates. International Journal of Production Research 2010 (available online).

[17] Srinivasan G, Narendran TT. GRAFICS—a nonhierarchical clustering algorithm for group technology. International Journal of Production Research 1991;29:463–78.

[18] Srinivasan G. A clustering algorithm for machine cell formation in group technology using minimum spanning trees. International Journal of Production Research 1994;32(9):2149–58.

[19] Cheng CH, Gupta YP, Lee WH, Wong KF. A TSP-based heuristic for forming machine groups and part families. International Journal of Production Research 1998;36:1325–37.

[20] Onwubolu G, Mutingi M. A genetic algorithm approach to cellular manufacturing systems. Computer & Industrial Engineering 2001;39:125–44.

[21] Dimopoulos C, Mortt N. A hierarchical clustering methodology based on genetic programming for the solution of simple cell-formation problems. International Journal of Production Research 2001;39(1):1–19.

[22] Gonc-alves J, Resende M. An evolutionary algorithm for manufacturing cell formation.

Computers & Industrial Engineering 2004;47:247–73.

[23] James T, Brown E, Keeling K. A hybrid grouping algorithm for the cell formation problem. Computers & Operations Research 2007;34:2059–79.

[24] Megala N, Rajendran C, Gopalan R. An ant colony algorithm for cell-formation in cellular manufacturing systems. European Journal of Industrial Engineering 2008;2(3):298–336.

[25] Geem, Z.W., Kim, J.H., Loganathan, G.V.: A New Heuristic Optimization Algorithm:

Harmony Search. Simulation. 76(2), 60–68 (2001).

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