A tabu search algorithm for the cell formation problem with part machine sequencing
By: G. Papaioannou and J.M. Wilson
Open Access
|Oct 2012References
- [1] Adil, G.K., Rajamani, D. and Strong, D. (1997). Assignment allocation and simulated annealing algorithms for cell formation,, 29 (11), 53-67.
- [2] Ahkioon, S., Bulgak, A.A. and Bektas, T. (2007). Cellular manufacturing systems design with routing flexibility, machine procurement production planning, and dynamic system reconfiguration,, iFirst, 1-28.
- [3] Askin, R.G., Goldberg, J.B., Cresswell, S.H. and Strong, D. (1991). A Hamiltonian path approach to reordering the part-machine matrix for cellular manufacturing,, 29 (6), 1081-1100.
- [4] Askin, R.G., Selim, H.M. and Vakharia, A.J. (1997). A methodology for designing flexible cellular manufacturing systems,, 29, 599-610.
- [5] Beaulieu, A., Gharbi, A. and Ait-Kadi. (1997). An algorithm for the cell formation and machine selection problems in the design of a cellular manufacturing system,, 35 (7), 1857-1875.
- [6] Boe, W.J. and Cheng, G.H. (1991). A close neighbour algorithm for designing cellular manufacturing systems,, 29 (10), 2097-2116.
- [7] Burbidge, J.L. (1989)., UK, Oxford Science Publications.
- [8] Chandrasekharan, M.P. and Ragagopalan, R. (1986). An ideal-seed nonhierarchical clustering algorithm for cellular manufacturing,, 24 (2), 451-464.
- [9] Chan, W.M., Chan, C.Y. and Ip, W.H. (2003). A heuristic algorithm for machine assignment in cellular layout,, 44, 49-73.
- [10] Chan, H.M. and Milner, D.A. (1982). Direct clustering algorithm for group formation in cellular manufacturing,, 1 (1), 65-75.
- [11] Congawave, T. and Ham, I. (1981). Cluster analysis applications for group technology manufacturing systems,9, 65-75.
- [12] De Witte, J. (1980). The use of similarity coefficients in production flow analysis,, 18 (4), 503-514.
- [13] Dorigo, M., Maniezzo, V. and Colorni, A. (1996). Ant system: Optimisation by a colony of cooperating agents,, 26, 29-41.
- [14] Foulds, L.R., French, A.P. and Wilson, J.M. (2006). The sustainable cell formation problem: manufacturing cell creation with machine modification costs,, 33, 1010-1032.
- [15] Garey, M.R. and Johnson, D.S. (1979)., San Fransisco, CA: Freeman.
- [16] Glover, F. (1986). Future paths for integer programming and links to artificial intelligence,, 13, 533-549.
- [17] Glover, F. (1989). Tabu Search - Part I,, 1 (3), 190-206.
- [18] Glover, F. (1990). Tabu Search - Part II,, 2 (1), 4-32.
- [19] Glover, F. and Laguna, M. (1997)., Norwell, MA: Kluwer Academic.
- [20] Holland, J.H. (1975)., Ann Arbor, University of Michigan, Michigan.
- [21] Jayaswal, S. and Adil, G.K. (2004). Efficient algorithm for cell formation with sequence data, machine replications and alternative process routings,, 42 (12), 2419-2433.
- [22] Kim, C.O, Baek, J.G. and Baek, J.K. (2004). A hybrid grouping genetic algorithm for the cell formation problem,, 34, 2059-2079.
- [23] Kim, C.O, Baek, J.G. and Baek, J.K. (2004). A two-phase heuristic algorithm for cell formation problems considering alternative part routes and machine sequences,, 18, 3911-3927.
- [24] King, J.R. (1980). Machine-component grouping in production flow analysis: an approach using rank order clustering algorithm,, 18 (2), 213-232.
- [25] King, J.R. and Nakornchai, V. (1982). Machine-component group formation in group technology: review and extension,, 20 (2), 117-133.
- [26] Kirkpatrick, S., Gelatt Jr., C.D. and Vecchi, M.P. (1983). Optimisation by simulated annealing,, 220, 671-680.
- [27] Kumar, K.R., Kusiak, A. and Vannelli, A. (1986). Grouping of parts and components in flexible manufacturing systems,, 24, 387-397.
- [28] Kusiak, A. (1987). The generalized group technology concept,, 25, 561-569.
- [29] Kusiak, A. and Heragu. S.S. (1987). Group Technology,, 9, 83-91.
- [30] Mak, K.L. and Wong, Y.S. and Wang, X.X. (2000). An adaptive genetic algorithm for manufacturing cell formation,, 16, 491-497.
- [31] McCormick, W.T., Schweitzer, P.J. and White, T.W. (1972). Problem Decomposition and data reorganisation by a clustering technique,, 20, 993-1009.
- [32] Mukattash, A.M., Adil, M.B. and Tahboub, K.K. (2002). Heuristic approaches for part assignment in cell formation,, 42, 329-341.
- [33] Onwubolu, G.C. and Mutingi, M. (2001). A genetic algorithm approach to cellular manufacturing systems,, 69, 373-383.
- [34] 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,, 206(3), 509-521.
- [35] Purcheck, G.F. (1975). Programming method for combinatorial group of an incomplete power set,, 5, 51-76.
- [36] Sankaran, S. (1990). Multiple objective decision making approach to cell formation - A goal programming model,, 13, 71-81.
- [37] Sankaran, S. and Kasilingam, R.G. (1993). On cell size and machine requirements planning in group technology systems,, 69, 373-383.
- [38] Selim, M.S., Askin, R.G. and Vakharia, A.J. (1998). Cell Formation in Group Technology: Review Evaluation and Directions for Future Research,, 34, 3-20.
- [39] Singh, N. (1993). Design of Cellular Manufacturing Systems: An Invited Review,, 69, 284-291.
- [40] Solimanpur, M. and Vrat, P. and Shankar, R. (2004). Ant colony optimisation algorithm to the inter-cell layout problem in cellular manufacturing,, 157, 592-606.
- [41] Spiliopoulos, K. and Sofianopoulou, S. (2003). Designing manufacturing cells: a staged approach and a tabu search algorithm,, 41 (11), 2531-2546.
- [42] Stanfel, L.E. (1985). Machine clustering for economic production,, 9, 73-81.
- [43] Vakharia, A.J. and Chang, Y.-L. (1997). Cell formation in group technology: a combinatorial search approach,, 35 (7), 2025-2043.
- [44] Vakharia, A.J. and Wemmerlov, U. (1990). Designing a cellular manufacturing system: a materials flow approach based on operation sequences,, 22 (1), 84-97.
- [45] Vannelli, A. and Kumar, K.R. (1986). A method for finding minimal bottle-neck cells for grouping part-machine families,, 24 (2), 387-400.
- [46] Venugopal, V. and Narendran, T.T. (1992). A genetic algorithm approach to the machine-component grouping problem with multiple objectives,, 22 (4), 469-480.
- [47] Wang, J. (1998). A linear assignment algorithm for formation of machine cells and part families in cellular manufacturing,,35, 81-84.
- [48] Wei, J.C. and Gaither, N. (1992). An optimal model for cell formation decisions,, 21, 416-433.
- [49] Wemmerlov, U. and Hyer, N.L. (1986). Procedures for the Part/Machine Group Identification Problem in Cellular Manufacturing,, 6, 125-147.
- [50] Wemmerlov, U. and Hyer, N.L. (1986). Cell Manufacturing in the US Industry: A Survey of Users,, 27, 1511-1530.
- [51] Wu, T.-H., Low, C. and Wu, W.-T. (2004). A tabu search approch to the cell formation problem,, 23, 916-924.
- [52] Xambre, A.R. and Vilarinho, P.M. (2003). A simulated annealing approach for manufacturing cell formation with multiple identical machines,, 151 (3), 434-446.
- [53] Xpress-MP. Dash Optimisation, Blisworth, Northamptonshire, UK.
- [54] Zhu, Z., Heady, R.B. and Reiners, S. (1995). An efficient zero-one formulation of the cell formation problem,, 28, 911-916.
DOI: https://doi.org/10.2478/v10209-011-0008-7 | Journal eISSN: 2300-3405 (formerly 0867-6356) | Journal ISSN: 0867-6356
Language: English
Page range: 97 - 127
Published on: Oct 1, 2012
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Keywords:
Related subjects:
© 2012 G. Papaioannou, J.M. Wilson, published by Poznan University of Technology
This work is licensed under the Creative Commons License.