How to cite this paper
Forghani, K., Sobhanallahi, M., Mirzazadeh, A & Mohammadi, M. (2012). A mathematical model in cellular manufacturing system considering subcontracting approach under constraints.Management Science Letters , 2(7), 2393-2408.
Refrences
Akturk, M.S., & Turkcan, A. (2000).Cellular manufacturing system design using a holonistic approach. International Journal of Production Research, 38(10), 2327-2347.
Ar?kan, F., & Güng?r, Z. (2009). Modeling of a manufacturing cell design problem with fuzzy multi-objective parametric programming. Mathematical and Computer Modelling, 50, 407–420.
Car, Z., & Mikac, T. (2006). Evolutionary approach for solving cell-formation problem in cell manufacturing. Advanced Engineering Informatics, 20, 227–232.
Chan, F.T.S., Lau, K.W., Chan, P.L.Y. and Choy, K.L. (2006). Two-stage approach for machine-part grouping and cell layout problems. Robotics and Computer-Integrated Manufacturing, 22, 217–238.
Chiang, C.P. and Lee, S.D. (2004). Joint determination of machine cells and linear inter cell layout. Computers & Operations Research, 31, 1603–1619.
Das, K., Lashkari, R.S., & Sengupta, S. (2007). Machine reliability and preventive maintenance planning. European Journal of Operational Research, 183, 162-180.
Elbenani, B., & Ferland, J.A. (2010).An exact method for solving the manufacturing cell formation problem. CIRRELT, 1–10.
Fallah-Alipour, K., & Shamsi, R. (2008).A Mathematical Model for Cell Formation in CMS Using Sequence Data. Journal of Industrial and Systems Engineering, 2(2), 144-153.
Filho, E.V.G., & Tiberti, A. J. (2006).A group genetic algorithm for the machine cell formation problem. International Journal of Production Economics, 102, 1–21.
Ghezavati, V.R., & Saidi-Mehrabad, M. (2011). An efficient hybrid self-learning method for stochastic cellular manufacturing problem: A queuing-based analysis. Expert Systems with Applications, 38, 1326–1335.
Heragu, S.S., & Chen, J.S. (1998). Optimal solution of cellular manufacturing system design: Benders’ decomposition approach. European Journal of Operational Research, 107, 175-192.
Jeon, G., & Leep, H.R. (2006). Forming part families by using genetic algorithm and designing machine cells under demand changes. Computers & Operations Research, 33, 263–283.
Jolai, F., Tavakkoli-Moghaddam, R., Golmohammadi, A., & Javadi, B. (2012).An Electromagnetism-like algorithm for cell formation and layout problem. Expert Systems with Applications, 39, 2172–2182.
Kia, R., Paydar, M. M., Alimardany Jondabeh, M., & Javadian, N. (2011). A fuzzy linear programming approach to layout design of dynamic cellular manufacturing systems with route selection and cell reconfiguration. International Journal of Management Science and Engineering Management, 6(3), 219–230.
Kioon, S.A., Bulgak, A.A., & Bektas, T. (2009). Integrated cellular manufacturing systems design with production planning and dynamic system reconfiguration. European Journal of Operational Research, 192, 414–428. #
Panchalavarapu, P.R., & Chankong, V. (2005).Design of cellular manufacturing systems with assembly considerations. Computers & Industrial Engineering, 48, 449-469.
Saad, S.M. (2003). The reconfiguration issues in manufacturing systems. Journal of Materials Processing Technology, 138, 277–283.
Schaller J. (2007). Designing and redesigning cellular manufacturing systems to handle demand changes. Computers & Industrial Engineering, 53, 478–490.
Singh, N. (1993). Design of cellular manufacturing systems: An invited review. European Journal of Operational Research, 69, 284–291.
Sobhanallahi, M.A., Jahanshahloo, G.R., Amin, G.R., & Shayan E. (2002). Threshold value for the number of cells in group technology. Computer & Industrial Engineering, 42, 231-236.
Solimanpur, M., Vrat, P. and Shankar, R. (2004).A heuristic to minimize makespan of cell scheduling problem. International Journal of Production Economics, 88, 231–241.
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, 721–728.
Tavakoli-Moghadam, R., Javadi, B., Jolai, F., & Mirgorbani, S.M. (2006).An efficient algorithm to inter and intra-cell layout problems in cellular manufacturing systems with stochastic demands.IJE Transactions, 19(1), 67–78.
Teymourian, E., Mahdavi, I., & Kayvanfar, V. (2011). A new cell formation model using sequence data and handling cost factors. Proceedings of the 2011 International Conference on Industrial Engineering and Operations Management, Kuala Lumpur, Malaysia, January 22–24.
Tsai, C.C., Chu, C.H. and Barta, T.A. (1997).Modeling and analysis of a manufacturing cell formation problem with fuzzy mixed-integer programming.IIE Transactions, 29, 533-547.
Venugopal, V. and Narendran, T.T. (1992).A genetic algorithm approach to the machine-component grouping problem with multiple objectives. Computers in Industrial Engineering, 22 (4), 469–480.
Ar?kan, F., & Güng?r, Z. (2009). Modeling of a manufacturing cell design problem with fuzzy multi-objective parametric programming. Mathematical and Computer Modelling, 50, 407–420.
Car, Z., & Mikac, T. (2006). Evolutionary approach for solving cell-formation problem in cell manufacturing. Advanced Engineering Informatics, 20, 227–232.
Chan, F.T.S., Lau, K.W., Chan, P.L.Y. and Choy, K.L. (2006). Two-stage approach for machine-part grouping and cell layout problems. Robotics and Computer-Integrated Manufacturing, 22, 217–238.
Chiang, C.P. and Lee, S.D. (2004). Joint determination of machine cells and linear inter cell layout. Computers & Operations Research, 31, 1603–1619.
Das, K., Lashkari, R.S., & Sengupta, S. (2007). Machine reliability and preventive maintenance planning. European Journal of Operational Research, 183, 162-180.
Elbenani, B., & Ferland, J.A. (2010).An exact method for solving the manufacturing cell formation problem. CIRRELT, 1–10.
Fallah-Alipour, K., & Shamsi, R. (2008).A Mathematical Model for Cell Formation in CMS Using Sequence Data. Journal of Industrial and Systems Engineering, 2(2), 144-153.
Filho, E.V.G., & Tiberti, A. J. (2006).A group genetic algorithm for the machine cell formation problem. International Journal of Production Economics, 102, 1–21.
Ghezavati, V.R., & Saidi-Mehrabad, M. (2011). An efficient hybrid self-learning method for stochastic cellular manufacturing problem: A queuing-based analysis. Expert Systems with Applications, 38, 1326–1335.
Heragu, S.S., & Chen, J.S. (1998). Optimal solution of cellular manufacturing system design: Benders’ decomposition approach. European Journal of Operational Research, 107, 175-192.
Jeon, G., & Leep, H.R. (2006). Forming part families by using genetic algorithm and designing machine cells under demand changes. Computers & Operations Research, 33, 263–283.
Jolai, F., Tavakkoli-Moghaddam, R., Golmohammadi, A., & Javadi, B. (2012).An Electromagnetism-like algorithm for cell formation and layout problem. Expert Systems with Applications, 39, 2172–2182.
Kia, R., Paydar, M. M., Alimardany Jondabeh, M., & Javadian, N. (2011). A fuzzy linear programming approach to layout design of dynamic cellular manufacturing systems with route selection and cell reconfiguration. International Journal of Management Science and Engineering Management, 6(3), 219–230.
Kioon, S.A., Bulgak, A.A., & Bektas, T. (2009). Integrated cellular manufacturing systems design with production planning and dynamic system reconfiguration. European Journal of Operational Research, 192, 414–428. #
Panchalavarapu, P.R., & Chankong, V. (2005).Design of cellular manufacturing systems with assembly considerations. Computers & Industrial Engineering, 48, 449-469.
Saad, S.M. (2003). The reconfiguration issues in manufacturing systems. Journal of Materials Processing Technology, 138, 277–283.
Schaller J. (2007). Designing and redesigning cellular manufacturing systems to handle demand changes. Computers & Industrial Engineering, 53, 478–490.
Singh, N. (1993). Design of cellular manufacturing systems: An invited review. European Journal of Operational Research, 69, 284–291.
Sobhanallahi, M.A., Jahanshahloo, G.R., Amin, G.R., & Shayan E. (2002). Threshold value for the number of cells in group technology. Computer & Industrial Engineering, 42, 231-236.
Solimanpur, M., Vrat, P. and Shankar, R. (2004).A heuristic to minimize makespan of cell scheduling problem. International Journal of Production Economics, 88, 231–241.
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, 721–728.
Tavakoli-Moghadam, R., Javadi, B., Jolai, F., & Mirgorbani, S.M. (2006).An efficient algorithm to inter and intra-cell layout problems in cellular manufacturing systems with stochastic demands.IJE Transactions, 19(1), 67–78.
Teymourian, E., Mahdavi, I., & Kayvanfar, V. (2011). A new cell formation model using sequence data and handling cost factors. Proceedings of the 2011 International Conference on Industrial Engineering and Operations Management, Kuala Lumpur, Malaysia, January 22–24.
Tsai, C.C., Chu, C.H. and Barta, T.A. (1997).Modeling and analysis of a manufacturing cell formation problem with fuzzy mixed-integer programming.IIE Transactions, 29, 533-547.
Venugopal, V. and Narendran, T.T. (1992).A genetic algorithm approach to the machine-component grouping problem with multiple objectives. Computers in Industrial Engineering, 22 (4), 469–480.