How to cite this paper
Golmohammadi, A., Asadi, A., Amiri, Z & Behzad, M. (2018). Design of a facility layout problem in cellular manufacturing systems with stochastic demands.Management Science Letters , 8(11), 1133-1148.
Refrences
Ahi, A., Aryanezhad, M. B., Ashtiani, B., & Makui, A. (2009). A novel approach to determine cell formation, intracellular machine layout and cell layout in the CMS problem based on TOPSIS meth-od. Computers & Operations Research, 36(5), 1478-1496.
Alfa, A. S., Chen, M., & Heragu, S. S. (1992). Integrating the grouping and layout problems in cellular manufacturing systems. Computers & Industrial Engineering, 23(1-4), 55-58.
Arkat, J., Farahani, M. H., & Ahmadizar, F. (2012). Multi-objective genetic algorithm for cell formation problem considering cellular layout and operations scheduling. International Journal of Computer In-tegrated Manufacturing, 25(7), 625-635.
Bagheri, M., & Bashiri, M. (2014). A new mathematical model towards the integration of cell formation with operator assignment and inter-cell layout problems in a dynamic environment. Applied Mathe-matical Modelling, 38(4), 1237-1254.
Balakrishnan, J., & Cheng, C. H. (2007). Multi-period planning and uncertainty issues in cellular manu-facturing: A review and future directions. European Journal of Operational Research, 177(1), 281-309.
Balakrishnan, J., & Cheng, C. H. (2009). The dynamic plant layout problem: Incorporating rolling hori-zons and forecast uncertainty. Omega, 37(1), 165-177.
Balakrishnan, J., & Hung Cheng, C. (2005). Dynamic cellular manufacturing under multiperiod plan-ning horizons. Journal of manufacturing technology management, 16(5), 516-530.
Bayram, H., & Şahin, R. (2016). A comprehensive mathematical model for dynamic cellular manufac-turing system design and Linear Programming embedded hybrid solution techniques. Computers & Industrial Engineering, 91, 10-29.
Benjaafar, S. (2002). Modeling and analysis of congestion in the design of facility lay-outs. Management Science, 48(5), 679-704.
Chan, F. T., Lau, K. W., Chan, P. L., & Choy, K. L. (2006). Two-stage approach for machine-part grouping and cell layout problems. Robotics and Computer-Integrated Manufacturing, 22(3), 217-238.
Chan, F. T. S., Lau, K. W., Chan, L. Y., & Lo, V. H. Y. (2008). Cell formation problem with considera-tion of both intracellular and intercellular movements. International Journal of Production Re-search, 46(10), 2589-2620.
Chang, C. C., Wu, T. H., & Chung, S. H. (2009, September). A novel approach for cell formation and cell layout design in cellular manufacturing system. In Management and Service Science, 2009. MASS'09. International Conference on (pp. 1-4). IEEE.
Chang, C. C., Wu, T. H., & Wu, C. W. (2013). An efficient approach to determine cell formation, cell layout and intracellular machine sequence in cellular manufacturing systems. Computers & Industrial Engineering, 66(2), 438-450.
Co, H. C., & Araar, A. (1988). Configuring cellular manufacturing systems. The International Journal Of Production Research, 26(9), 1511-1522.
Deep, K., & Singh, P. K. (2016). Dynamic cellular manufacturing system design considering alternative routing and part operation tradeoff using simulated annealing based genetic algo-rithm. Sādhanā, 41(9), 1063-1079.
Delgoshaei, A., Ali, A., Ariffin, M. K. A., & Gomes, C. (2016a). A multi-period scheduling of dynamic cellular manufacturing systems in the presence of cost uncertainty. Computers & Industrial Engineer-ing, 100, 110-132.
Delgoshaei, A., Ariffin, M. K. A. M., Leman, Z., Baharudin, B. H. T. B., & Gomes, C. (2016b). Re-view of evolution of cellular manufacturing system’s approaches: Material transferring mod-els. International Journal of Precision Engineering and Manufacturing, 17(1), 131-149.
Delgoshaei, A., & Gomes, C. (2016). A multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost. Applied Soft Computing, 49, 27-55.
Dixit, A. R., & Mishra, P. K. (2009). Ex-CLASS: Extended Cell formation and LAyout Selection con-sidering production parameters with Sequence data. International Journal of Product Develop-ment, 10(1-3), 180-200.
Drolet, J., Marcoux, Y., & Abdulnour, G. (2008). Simulation-based performance comparison between dynamic cells, classical cells and job shops: a case study. International Journal of Production Re-search, 46(2), 509-536.
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.
Ghosh, T., Doloi, B., & Dan, P. K. (2016). An Immune Genetic algorithm for inter-cell layout problem in cellular manufacturing system. Production Engineering, 10(2), 157-174.
Hadian, H., Golmohammadi, A., Hemmati, A & Mashkani, O. (2019). A multi-depot location routing problem to reduce the differences between the vehicles’ traveled distances; a comparative study of heuristics.Uncertain Supply Chain Management, 7(1), 17-32.
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.
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(2), 2172-2182.
Krishnan, K. K., Mirzaei, S., Venkatasamy, V., & Pillai, V. M. (2012). A comprehensive approach to facility layout design and cell formation. The International Journal of Advanced Manufacturing Technology, 59(5-8), 737-753.
Mahdavi, I., & Mahadevan, B. (2008). CLASS: An algorithm for cellular manufacturing system and layout design using sequence data. Robotics and Computer-Integrated Manufacturing, 24(3), 488-497.
Mahdavi, I., Paydar, M., Solimanpur, M., & Saidi-Mehrabad, M. (2010). A mathematical model for integrating cell formation problem with machine layout. International Journal of Industrial Engineering, 21(2), 61-70.
Mahdavi, I., Teymourian, E., Baher, N. T., & Kayvanfar, V. (2013). An integrated model for solving cell formation and cell layout problem simultaneously considering new situations. Journal of Manu-facturing Systems, 32(4), 655-663.
Marsh, R. F., Meredith, J. R., & McCutcheon, D. M. (1997). The life cycle of manufacturing cells. International Journal of Operations & Production Management, 17(12), 1167-1182.
Mohammadi, M., & Forghani, K. (2014). A novel approach for considering layout problem in cellular manufacturing systems with alternative processing routings and subcontracting approach. Applied Mathematical Modelling, 38(14), 3624-3640.
Mohammadi, M., & Forghani, K. (2016). Designing cellular manufacturing systems considering S-shaped layout. Computers & Industrial Engineering, 98, 221-236.
Paydar, M. M., Mahdavi, I., Solimanpur, M., & Tajdin, A. (2008, December). Solving a new mathemat-ical model for cellular manufacturing system: fuzzy goal programming. In Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on (pp. 1224-1228). IEEE.
Paydar, M. M., Mahdavi, I., Sharafuddin, I., & Solimanpur, M. (2010). Applying simulated annealing for designing cellular manufacturing systems using MDmTSP. Computers & industrial engineer-ing, 59(4), 929-936.
Renna, P., & Ambrico, M. (2015). Design and reconfiguration models for dynamic cellular manufactur-ing to handle market changes. International Journal of Computer Integrated Manufacturing, 28(2), 170-186.
Rheault, M., Drolet, J. R., & Abdulnour, G. (1995). Physically reconfigurable virtual cells: a dynamic model for a highly dynamic environment. Computers & Industrial Engineering, 29(1-4), 221-225.
Safaei, N., Saidi-Mehrabad, M., & Jabal-Ameli, M. S. (2008). A hybrid simulated annealing for solving an extended model of dynamic cellular manufacturing system. European Journal of Operational Re-search, 185(2), 563-592.
Tavakkoli-Moghaddam, R., Aryanezhad, M. B., Safaei, N., Vasei, M., & Azaron, A. (2007). A new ap-proach for the cellular manufacturing problem in fuzzy dynamic conditions by a genetic algo-rithm. Journal of Intelligent & 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 Com-putation, 184(2), 721-728.
Wang, S., & Sarker, B. R. (2002). Locating cells with bottleneck machines in cellular manufacturing systems. International Journal of Production Research, 40(2), 403-424.
Wang, T. Y., Wu, K. B., & Liu, Y. W. (2001). A simulated annealing algorithm for facility layout prob-lems under variable demand in cellular manufacturing systems. Computers in industry, 46(2), 181-188.
Wu, X., Chu, C. H., Wang, Y., & Yan, W. (2007). A genetic algorithm for cellular manufacturing de-sign and layout. European journal of operational research, 181(1), 156-167.
Zhang, Z. (2011). Modeling complexity of cellular manufacturing systems. Applied Mathematical Mod-elling, 35(9), 4189-4195.
Alfa, A. S., Chen, M., & Heragu, S. S. (1992). Integrating the grouping and layout problems in cellular manufacturing systems. Computers & Industrial Engineering, 23(1-4), 55-58.
Arkat, J., Farahani, M. H., & Ahmadizar, F. (2012). Multi-objective genetic algorithm for cell formation problem considering cellular layout and operations scheduling. International Journal of Computer In-tegrated Manufacturing, 25(7), 625-635.
Bagheri, M., & Bashiri, M. (2014). A new mathematical model towards the integration of cell formation with operator assignment and inter-cell layout problems in a dynamic environment. Applied Mathe-matical Modelling, 38(4), 1237-1254.
Balakrishnan, J., & Cheng, C. H. (2007). Multi-period planning and uncertainty issues in cellular manu-facturing: A review and future directions. European Journal of Operational Research, 177(1), 281-309.
Balakrishnan, J., & Cheng, C. H. (2009). The dynamic plant layout problem: Incorporating rolling hori-zons and forecast uncertainty. Omega, 37(1), 165-177.
Balakrishnan, J., & Hung Cheng, C. (2005). Dynamic cellular manufacturing under multiperiod plan-ning horizons. Journal of manufacturing technology management, 16(5), 516-530.
Bayram, H., & Şahin, R. (2016). A comprehensive mathematical model for dynamic cellular manufac-turing system design and Linear Programming embedded hybrid solution techniques. Computers & Industrial Engineering, 91, 10-29.
Benjaafar, S. (2002). Modeling and analysis of congestion in the design of facility lay-outs. Management Science, 48(5), 679-704.
Chan, F. T., Lau, K. W., Chan, P. L., & Choy, K. L. (2006). Two-stage approach for machine-part grouping and cell layout problems. Robotics and Computer-Integrated Manufacturing, 22(3), 217-238.
Chan, F. T. S., Lau, K. W., Chan, L. Y., & Lo, V. H. Y. (2008). Cell formation problem with considera-tion of both intracellular and intercellular movements. International Journal of Production Re-search, 46(10), 2589-2620.
Chang, C. C., Wu, T. H., & Chung, S. H. (2009, September). A novel approach for cell formation and cell layout design in cellular manufacturing system. In Management and Service Science, 2009. MASS'09. International Conference on (pp. 1-4). IEEE.
Chang, C. C., Wu, T. H., & Wu, C. W. (2013). An efficient approach to determine cell formation, cell layout and intracellular machine sequence in cellular manufacturing systems. Computers & Industrial Engineering, 66(2), 438-450.
Co, H. C., & Araar, A. (1988). Configuring cellular manufacturing systems. The International Journal Of Production Research, 26(9), 1511-1522.
Deep, K., & Singh, P. K. (2016). Dynamic cellular manufacturing system design considering alternative routing and part operation tradeoff using simulated annealing based genetic algo-rithm. Sādhanā, 41(9), 1063-1079.
Delgoshaei, A., Ali, A., Ariffin, M. K. A., & Gomes, C. (2016a). A multi-period scheduling of dynamic cellular manufacturing systems in the presence of cost uncertainty. Computers & Industrial Engineer-ing, 100, 110-132.
Delgoshaei, A., Ariffin, M. K. A. M., Leman, Z., Baharudin, B. H. T. B., & Gomes, C. (2016b). Re-view of evolution of cellular manufacturing system’s approaches: Material transferring mod-els. International Journal of Precision Engineering and Manufacturing, 17(1), 131-149.
Delgoshaei, A., & Gomes, C. (2016). A multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost. Applied Soft Computing, 49, 27-55.
Dixit, A. R., & Mishra, P. K. (2009). Ex-CLASS: Extended Cell formation and LAyout Selection con-sidering production parameters with Sequence data. International Journal of Product Develop-ment, 10(1-3), 180-200.
Drolet, J., Marcoux, Y., & Abdulnour, G. (2008). Simulation-based performance comparison between dynamic cells, classical cells and job shops: a case study. International Journal of Production Re-search, 46(2), 509-536.
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.
Ghosh, T., Doloi, B., & Dan, P. K. (2016). An Immune Genetic algorithm for inter-cell layout problem in cellular manufacturing system. Production Engineering, 10(2), 157-174.
Hadian, H., Golmohammadi, A., Hemmati, A & Mashkani, O. (2019). A multi-depot location routing problem to reduce the differences between the vehicles’ traveled distances; a comparative study of heuristics.Uncertain Supply Chain Management, 7(1), 17-32.
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.
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(2), 2172-2182.
Krishnan, K. K., Mirzaei, S., Venkatasamy, V., & Pillai, V. M. (2012). A comprehensive approach to facility layout design and cell formation. The International Journal of Advanced Manufacturing Technology, 59(5-8), 737-753.
Mahdavi, I., & Mahadevan, B. (2008). CLASS: An algorithm for cellular manufacturing system and layout design using sequence data. Robotics and Computer-Integrated Manufacturing, 24(3), 488-497.
Mahdavi, I., Paydar, M., Solimanpur, M., & Saidi-Mehrabad, M. (2010). A mathematical model for integrating cell formation problem with machine layout. International Journal of Industrial Engineering, 21(2), 61-70.
Mahdavi, I., Teymourian, E., Baher, N. T., & Kayvanfar, V. (2013). An integrated model for solving cell formation and cell layout problem simultaneously considering new situations. Journal of Manu-facturing Systems, 32(4), 655-663.
Marsh, R. F., Meredith, J. R., & McCutcheon, D. M. (1997). The life cycle of manufacturing cells. International Journal of Operations & Production Management, 17(12), 1167-1182.
Mohammadi, M., & Forghani, K. (2014). A novel approach for considering layout problem in cellular manufacturing systems with alternative processing routings and subcontracting approach. Applied Mathematical Modelling, 38(14), 3624-3640.
Mohammadi, M., & Forghani, K. (2016). Designing cellular manufacturing systems considering S-shaped layout. Computers & Industrial Engineering, 98, 221-236.
Paydar, M. M., Mahdavi, I., Solimanpur, M., & Tajdin, A. (2008, December). Solving a new mathemat-ical model for cellular manufacturing system: fuzzy goal programming. In Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on (pp. 1224-1228). IEEE.
Paydar, M. M., Mahdavi, I., Sharafuddin, I., & Solimanpur, M. (2010). Applying simulated annealing for designing cellular manufacturing systems using MDmTSP. Computers & industrial engineer-ing, 59(4), 929-936.
Renna, P., & Ambrico, M. (2015). Design and reconfiguration models for dynamic cellular manufactur-ing to handle market changes. International Journal of Computer Integrated Manufacturing, 28(2), 170-186.
Rheault, M., Drolet, J. R., & Abdulnour, G. (1995). Physically reconfigurable virtual cells: a dynamic model for a highly dynamic environment. Computers & Industrial Engineering, 29(1-4), 221-225.
Safaei, N., Saidi-Mehrabad, M., & Jabal-Ameli, M. S. (2008). A hybrid simulated annealing for solving an extended model of dynamic cellular manufacturing system. European Journal of Operational Re-search, 185(2), 563-592.
Tavakkoli-Moghaddam, R., Aryanezhad, M. B., Safaei, N., Vasei, M., & Azaron, A. (2007). A new ap-proach for the cellular manufacturing problem in fuzzy dynamic conditions by a genetic algo-rithm. Journal of Intelligent & 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 Com-putation, 184(2), 721-728.
Wang, S., & Sarker, B. R. (2002). Locating cells with bottleneck machines in cellular manufacturing systems. International Journal of Production Research, 40(2), 403-424.
Wang, T. Y., Wu, K. B., & Liu, Y. W. (2001). A simulated annealing algorithm for facility layout prob-lems under variable demand in cellular manufacturing systems. Computers in industry, 46(2), 181-188.
Wu, X., Chu, C. H., Wang, Y., & Yan, W. (2007). A genetic algorithm for cellular manufacturing de-sign and layout. European journal of operational research, 181(1), 156-167.
Zhang, Z. (2011). Modeling complexity of cellular manufacturing systems. Applied Mathematical Mod-elling, 35(9), 4189-4195.