How to cite this paper
Delgoshaei, A., Ariffin, M., Baharudin, B & Leman, Z. (2016). A new method for decreasing cell-load variation in dynamic cellular manufacturing systems.International Journal of Industrial Engineering Computations , 7(1), 83-110.
Refrences
Agarwal, A., & Sarkis, J. (1998). A review and analysis of comparative performance studies on functional and cellular manufacturing layouts. Computers & industrial engineering, 34(1), 77-89.
Ahkioon, S., Bulgak, A., & Bektas, T. (2009). Cellular manufacturing systems design with routing flexibility, machine procurement, production planning and dynamic system reconfiguration. International Journal of Production Research, 47(6), 1573-1600. doi: 10.1080/00207540701581809
Ariafar, S., Firoozi, Z., & Ismail, N. (2014). A Triangular Stochastic Facility Layout Problem in a Cellular Manufacturing System. Paper presented at the International Conference on Mathematical Sciences and Statistics 2013.
Ariafar, S., & Ismail, N. (2009). An improved algorithm for layout design in cellular manufacturing systems. Journal of Manufacturing Systems, 28(4), 132-139. doi: 10.1016/j.jmsy.2010.06.003
Baker, R., & Maropoulos, P. G. (2000). Cell design and continuous improvement. International Journal of Computer Integrated Manufacturing, 13(6), 522-532.
Banerjee, I., & Das, P. (2012). Group technology based adaptive cell formation using predator–prey genetic algorithm. Applied Soft Computing, 12(1), 559-572.
Boulif, M., & Atif, K. (2006). A new branch- & -bound-enhanced genetic algorithm for the manufacturing cell formation problem. Computers & operations research, 33(8), 2219-2245.
Chen, M., & Cao, D. (2004). Coordinating production planning in cellular manufacturing environment using Tabu search. Computers & industrial engineering, 46(3), 571-588.
Defersha, F. M., & Chen, M. (2006). A comprehensive mathematical model for the design of cellular manufacturing systems. International Journal of Production Economics, 103(2), 767-783.
Dimopoulos, C., & Mort, N. (2001). A hierarchical clustering methodology based on genetic programming for the solution of simple cell-formation problems. International Journal of Production Research, 39(1), 1-19.
Durmusoglu, M. B., & Nomak, A. (2005). GT cells design and implementation in a glass mould production system. Computers & industrial engineering, 48(3), 525-536.
Egilmez, G., & Süer, G. (2014). The impact of risk on the integrated cellular design and control. International Journal of Production Research, 52(5), 1455-1478.
Egilmez, G., Süer, G. A., & Huang, J. (2012). Stochastic cellular manufacturing system design subject to maximum acceptable risk level. Computers & Industrial Engineering, 63(4), 842-854.
Elmi, A., Solimanpur, M., Topaloglu, S., & Elmi, A. (2011). A simulated annealing algorithm for the job shop cell scheduling problem with intercellular moves and reentrant parts. Computers & industrial engineering, 61(1), 171-178.
Goncalves Filho, V., & José Tiberti, A. (2006). A group genetic algorithm for the machine cell formation problem. International Journal of Production Economics, 102(1), 1-21.
Gonçalves, J. F., & Resende, M. G. (2004). An evolutionary algorithm for manufacturing cell formation. Computers & industrial engineering, 47(2), 247-273.
Gravel, M., Luntala Nsakanda, A., & Price, W. (1998). Efficient solutions to the cell-formation problem with multiple routings via a double-loop genetic algorithm. European Journal of Operational Research, 109(2), 286-298.
Gupta, Y. P., Gupta, M. C., Kumar, A., & Sundram, C. (1995). Minimizing total intercell and intracell moves in cellular manufacturing: a genetic algorithm approach. International Journal of Computer Integrated Manufacturing, 8(2), 92-101.
Haleh, H., Iranmanesh, H., & Kor, H. (2009). A new hybrid evolutionary algorithm for solving multi objective cell formation problem. Paper presented at the International Conference on Computers & Industrial Engineering, 2009. CIE 2009.
Holland, J. (1975). 1975, Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor.
Hsu, C.-M., & Su, C.-T. (1998). Multi-objective machine-component grouping in cellular manufacturing: a genetic algorithm. Production Planning & Control, 9(2), 155-166.
Jeon, G., & Leep, H. R. (2006). Forming part families by using genetic algorithm and designing machine cells under demand changes. Computers & operations research, 33(1), 263-283.
Moussa, S. E., & Kamel, M. (1998). A part-machine assignment algorithm for cellular manufacturing with machine capacity constraints. Computers & industrial engineering, 35(3), 483-486.
Muruganandam, A., Prabhaharan, G., Asokan, P., & Baskaran, V. (2005). A memetic algorithm approach to the cell formation problem. The International Journal of Advanced Manufacturing Technology, 25(9-10), 988-997.
Nsakanda, A. L., Diaby, M., & Price, W. L. (2006). Hybrid genetic approach for solving large-scale capacitated cell formation problems with multiple routings. European Journal of Operational Research, 171(3), 1051-1070. doi: 10.1016/j.ejor.2005.01.017
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.
Paydar, M. M., Mahdavi, I., Sharafuddin, I., & Solimanpur, M. (2010). Applying simulated annealing for designing cellular manufacturing systems using MDmTSP. Computers & industrial engineering, 59(4), 929-936.
Paydar, M. M., Saidi–Mehrabad, M., & Kia, R. (2013). Designing a new integrated model for dynamic cellular manufacturing systems with production planning and intra–cell layout. International Journal of Applied Decision Sciences, 6(2), 117-143.
Rafiee, K., Rabbani, M., Rafiei, H., & Rahimi-Vahed, A. (2011). A new approach towards integrated cell formation and inventory lot sizing in an unreliable cellular manufacturing system. Applied Mathematical Modelling, 35(4), 1810-1819.
Renna, P., & Ambrico, M. (2015). Design and reconfiguration models for dynamic cellular manufacturing to handle market changes. International Journal of Computer Integrated Manufacturing, 28(2), 170-186.
Rogers, D. F., & Kulkarni, S. S. (2005). Optimal bivariate clustering and a genetic algorithm with an application in cellular manufacturing. European Journal of Operational Research, 160(2), 423-444.
Safaei, N., Saidi-Mehrabad, M., & Jabal-Ameli, M. (2008). A hybrid simulated annealing for solving an extended model of dynamic cellular manufacturing system. European Journal of Operational Research, 185(2), 563-592. doi: 10.1016/j.ejor.2006.12.058
Safaei, N., & Tavakkoli-Moghaddam, R. (2009). Integrated multi-period cell formation and subcontracting production planning in dynamic cellular manufacturing systems. International Journal of Production Economics, 120(2), 301-314.
Seifoddini, H., & Djassemi, M. (1993). A dynamic part assignment procedure in machine cell formation. Computers & industrial engineering, 25(1), 473-476.
Seifoddini, H., & Djassemi, M. (1996). Improving the performance of cellular manufacturing by a dynamic part assignment approach. Computers & industrial engineering, 30(4), 719-726.
Sofianopoulou, S. (1999). Manufacturing cells design with alternative process plans and/or replicate machines. International Journal of Production Research, 37(3), 707-720.
Solimanpur, M., Vrat, P., & Shankar, R. (2004). Ant colony optimization algorithm to the inter-cell layout problem in cellular manufacturing. European Journal of Operational Research, 157(3), 592-606.
Sullivan, W. G., McDonald, T. N., & Van Aken, E. M. (2002). Equipment replacement decisions and lean manufacturing. Robotics and Computer-Integrated Manufacturing, 18(3), 255-265.
Tavakkoli-Moghaddam, R., Aryanezhad, M.-B., Safaei, N., Vasei, M., & Azaron, A. (2007). A new approach for the cellular manufacturing problem in fuzzy dynamic conditions by a genetic algorithm. Journal of Intelligent and Fuzzy Systems, 18(4), 363-376.
Tavakkoli-Moghaddam, R., Javadian, N., Javadi, B., & Safaei, N. (2007). Design of a facility layout problem in cellular manufacturing systems with stochastic demands. Applied Mathematics and Computation, 184(2), 721-728.
Tavakkoli-Moghaddam, R., Javadian, N., Khorrami, A., & Gholipour-Kanani, Y. (2010). Design of a scatter search method for a novel multi-criteria group scheduling problem in a cellular manufacturing system. Expert Systems with Applications, 37(3), 2661-2669. doi: 10.1016/j.eswa.2009.08.012
Tompkins, J., White, J., Bozer, Y., & Tanchoco, J. (2003). Facilities planning. 2003: Wiley, New York.
Wang, T.-Y., Wu, K.-B., & Liu, Y. (2001). A simulated annealing algorithm for facility layout problems under variable demand in cellular manufacturing systems. Computers in Industry, 46(2), 181-188.
Won, Y., & Currie, K. (2007). Fuzzy ART/RRR-RSS: a two-phase neural network algorithm for part-machine grouping in cellular manufacturing. International Journal of Production Research, 45(9), 2073-2104.
Xambre, A. R., & Vilarinho, P. M. (2003). A simulated annealing approach for manufacturing cell formation with multiple identical machines. European Journal of Operational Research, 151(2), 434-446.
Yu, J., & Sarker, B. R. (2003). Directional decomposition heuristic for a linear machine-cell location problem. European Journal of Operational Research, 149(1), 142-184.
Yu, J., & Sarker, B. R. (2006). A directional decomposition heuristic for one-dimensional, non-equidistant machine-cell location problems. Computers & Operations Research, 33(1), 64-92.
Ahkioon, S., Bulgak, A., & Bektas, T. (2009). Cellular manufacturing systems design with routing flexibility, machine procurement, production planning and dynamic system reconfiguration. International Journal of Production Research, 47(6), 1573-1600. doi: 10.1080/00207540701581809
Ariafar, S., Firoozi, Z., & Ismail, N. (2014). A Triangular Stochastic Facility Layout Problem in a Cellular Manufacturing System. Paper presented at the International Conference on Mathematical Sciences and Statistics 2013.
Ariafar, S., & Ismail, N. (2009). An improved algorithm for layout design in cellular manufacturing systems. Journal of Manufacturing Systems, 28(4), 132-139. doi: 10.1016/j.jmsy.2010.06.003
Baker, R., & Maropoulos, P. G. (2000). Cell design and continuous improvement. International Journal of Computer Integrated Manufacturing, 13(6), 522-532.
Banerjee, I., & Das, P. (2012). Group technology based adaptive cell formation using predator–prey genetic algorithm. Applied Soft Computing, 12(1), 559-572.
Boulif, M., & Atif, K. (2006). A new branch- & -bound-enhanced genetic algorithm for the manufacturing cell formation problem. Computers & operations research, 33(8), 2219-2245.
Chen, M., & Cao, D. (2004). Coordinating production planning in cellular manufacturing environment using Tabu search. Computers & industrial engineering, 46(3), 571-588.
Defersha, F. M., & Chen, M. (2006). A comprehensive mathematical model for the design of cellular manufacturing systems. International Journal of Production Economics, 103(2), 767-783.
Dimopoulos, C., & Mort, N. (2001). A hierarchical clustering methodology based on genetic programming for the solution of simple cell-formation problems. International Journal of Production Research, 39(1), 1-19.
Durmusoglu, M. B., & Nomak, A. (2005). GT cells design and implementation in a glass mould production system. Computers & industrial engineering, 48(3), 525-536.
Egilmez, G., & Süer, G. (2014). The impact of risk on the integrated cellular design and control. International Journal of Production Research, 52(5), 1455-1478.
Egilmez, G., Süer, G. A., & Huang, J. (2012). Stochastic cellular manufacturing system design subject to maximum acceptable risk level. Computers & Industrial Engineering, 63(4), 842-854.
Elmi, A., Solimanpur, M., Topaloglu, S., & Elmi, A. (2011). A simulated annealing algorithm for the job shop cell scheduling problem with intercellular moves and reentrant parts. Computers & industrial engineering, 61(1), 171-178.
Goncalves Filho, V., & José Tiberti, A. (2006). A group genetic algorithm for the machine cell formation problem. International Journal of Production Economics, 102(1), 1-21.
Gonçalves, J. F., & Resende, M. G. (2004). An evolutionary algorithm for manufacturing cell formation. Computers & industrial engineering, 47(2), 247-273.
Gravel, M., Luntala Nsakanda, A., & Price, W. (1998). Efficient solutions to the cell-formation problem with multiple routings via a double-loop genetic algorithm. European Journal of Operational Research, 109(2), 286-298.
Gupta, Y. P., Gupta, M. C., Kumar, A., & Sundram, C. (1995). Minimizing total intercell and intracell moves in cellular manufacturing: a genetic algorithm approach. International Journal of Computer Integrated Manufacturing, 8(2), 92-101.
Haleh, H., Iranmanesh, H., & Kor, H. (2009). A new hybrid evolutionary algorithm for solving multi objective cell formation problem. Paper presented at the International Conference on Computers & Industrial Engineering, 2009. CIE 2009.
Holland, J. (1975). 1975, Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor.
Hsu, C.-M., & Su, C.-T. (1998). Multi-objective machine-component grouping in cellular manufacturing: a genetic algorithm. Production Planning & Control, 9(2), 155-166.
Jeon, G., & Leep, H. R. (2006). Forming part families by using genetic algorithm and designing machine cells under demand changes. Computers & operations research, 33(1), 263-283.
Moussa, S. E., & Kamel, M. (1998). A part-machine assignment algorithm for cellular manufacturing with machine capacity constraints. Computers & industrial engineering, 35(3), 483-486.
Muruganandam, A., Prabhaharan, G., Asokan, P., & Baskaran, V. (2005). A memetic algorithm approach to the cell formation problem. The International Journal of Advanced Manufacturing Technology, 25(9-10), 988-997.
Nsakanda, A. L., Diaby, M., & Price, W. L. (2006). Hybrid genetic approach for solving large-scale capacitated cell formation problems with multiple routings. European Journal of Operational Research, 171(3), 1051-1070. doi: 10.1016/j.ejor.2005.01.017
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.
Paydar, M. M., Mahdavi, I., Sharafuddin, I., & Solimanpur, M. (2010). Applying simulated annealing for designing cellular manufacturing systems using MDmTSP. Computers & industrial engineering, 59(4), 929-936.
Paydar, M. M., Saidi–Mehrabad, M., & Kia, R. (2013). Designing a new integrated model for dynamic cellular manufacturing systems with production planning and intra–cell layout. International Journal of Applied Decision Sciences, 6(2), 117-143.
Rafiee, K., Rabbani, M., Rafiei, H., & Rahimi-Vahed, A. (2011). A new approach towards integrated cell formation and inventory lot sizing in an unreliable cellular manufacturing system. Applied Mathematical Modelling, 35(4), 1810-1819.
Renna, P., & Ambrico, M. (2015). Design and reconfiguration models for dynamic cellular manufacturing to handle market changes. International Journal of Computer Integrated Manufacturing, 28(2), 170-186.
Rogers, D. F., & Kulkarni, S. S. (2005). Optimal bivariate clustering and a genetic algorithm with an application in cellular manufacturing. European Journal of Operational Research, 160(2), 423-444.
Safaei, N., Saidi-Mehrabad, M., & Jabal-Ameli, M. (2008). A hybrid simulated annealing for solving an extended model of dynamic cellular manufacturing system. European Journal of Operational Research, 185(2), 563-592. doi: 10.1016/j.ejor.2006.12.058
Safaei, N., & Tavakkoli-Moghaddam, R. (2009). Integrated multi-period cell formation and subcontracting production planning in dynamic cellular manufacturing systems. International Journal of Production Economics, 120(2), 301-314.
Seifoddini, H., & Djassemi, M. (1993). A dynamic part assignment procedure in machine cell formation. Computers & industrial engineering, 25(1), 473-476.
Seifoddini, H., & Djassemi, M. (1996). Improving the performance of cellular manufacturing by a dynamic part assignment approach. Computers & industrial engineering, 30(4), 719-726.
Sofianopoulou, S. (1999). Manufacturing cells design with alternative process plans and/or replicate machines. International Journal of Production Research, 37(3), 707-720.
Solimanpur, M., Vrat, P., & Shankar, R. (2004). Ant colony optimization algorithm to the inter-cell layout problem in cellular manufacturing. European Journal of Operational Research, 157(3), 592-606.
Sullivan, W. G., McDonald, T. N., & Van Aken, E. M. (2002). Equipment replacement decisions and lean manufacturing. Robotics and Computer-Integrated Manufacturing, 18(3), 255-265.
Tavakkoli-Moghaddam, R., Aryanezhad, M.-B., Safaei, N., Vasei, M., & Azaron, A. (2007). A new approach for the cellular manufacturing problem in fuzzy dynamic conditions by a genetic algorithm. Journal of Intelligent and Fuzzy Systems, 18(4), 363-376.
Tavakkoli-Moghaddam, R., Javadian, N., Javadi, B., & Safaei, N. (2007). Design of a facility layout problem in cellular manufacturing systems with stochastic demands. Applied Mathematics and Computation, 184(2), 721-728.
Tavakkoli-Moghaddam, R., Javadian, N., Khorrami, A., & Gholipour-Kanani, Y. (2010). Design of a scatter search method for a novel multi-criteria group scheduling problem in a cellular manufacturing system. Expert Systems with Applications, 37(3), 2661-2669. doi: 10.1016/j.eswa.2009.08.012
Tompkins, J., White, J., Bozer, Y., & Tanchoco, J. (2003). Facilities planning. 2003: Wiley, New York.
Wang, T.-Y., Wu, K.-B., & Liu, Y. (2001). A simulated annealing algorithm for facility layout problems under variable demand in cellular manufacturing systems. Computers in Industry, 46(2), 181-188.
Won, Y., & Currie, K. (2007). Fuzzy ART/RRR-RSS: a two-phase neural network algorithm for part-machine grouping in cellular manufacturing. International Journal of Production Research, 45(9), 2073-2104.
Xambre, A. R., & Vilarinho, P. M. (2003). A simulated annealing approach for manufacturing cell formation with multiple identical machines. European Journal of Operational Research, 151(2), 434-446.
Yu, J., & Sarker, B. R. (2003). Directional decomposition heuristic for a linear machine-cell location problem. European Journal of Operational Research, 149(1), 142-184.
Yu, J., & Sarker, B. R. (2006). A directional decomposition heuristic for one-dimensional, non-equidistant machine-cell location problems. Computers & Operations Research, 33(1), 64-92.