How to cite this paper
Rabbani, M., Elahi, S & Javadi, B. (2017). A comprehensive quadratic assignment problem for an integrated layout design of final assembly line and manufacturing feeder cells.Decision Science Letters , 6(2), 165-192.
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Ariafar, S., & Ismail, N. (2009). An improved algorithm for layout design in cellular manufacturing systems. Journal of Manufacturing Systems, 28(4), 132-139.
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 Integrated Manufacturing, 25(7), 625-635.
Azzi, A., Battini, D., Faccio, M., & Persona, A. (2012). Mixed model assembly system with multiple secondary feeder lines: layout design and balancing procedure for ATO environment. International Journal of Production Research, 50(18), 5132-5151.
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 Mathematical Modelling, 38(4), 1237-1254.
Balakrishnan, J., & Cheng, C. H. (2007). Multi-period planning and uncertainty issues in cellular manufacturing: A review and future directions.European Journal of Operational Research, 177(1), 281-309.
Battaïa, O., & Dolgui, A. (2013). A taxonomy of line balancing problems and their solutionapproaches. International Journal of Production Economics,142(2), 259-277.
Bazargan-Lari, M., Kaebernick, H., & Harraf, A. (2000). Cell formation and layout designs in a cellular manufacturing environment a case study.International Journal of Production Research, 38(7), 1689-1709..
Boysen, N., Fliedner, M., & Scholl, A. (2008). Assembly line balancing: Which model to use when?. International Journal of Production Economics,111(2), 509-528.
Bozer, Y. A., & Wang, C. T. (2012). A graph-pair representation and MIP-model-based heuristic for the unequal-area facility layout problem. European Journal of Operational Research, 218(2), 382-391.
Chan, W. M., Chan, C. Y., & Kwong, C. K. (2004). Development of the MAIN algorithm for a cellular manufacturing machine layout. International journal of production research, 42(1), 51-65.
Chiang, C. P., & Lee, S. D. (2004). A genetic-based algorithm with the optimal partition approach for the cell formation in bi-directional linear flow layout. International Journal of Computer Integrated Manufacturing, 17(4), 364-375.
Glover, F., & Laguna, M. (1997). Tabu SearchKluwer Academic Publishers.Boston, MA.
Glover, F., & Laguna, M. (2013). Tabu Search∗ (pp. 3261-3362). Springer New York.
Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Professional. Reading, Massachusetts, US.
Golmohammadi, A., Bani-Asadi, H., Esmaeeli, H., Hadian, H., & Bagheri, F. (2016). Facility layout for cellular manufacturing system under dynamic conditions. Decision Science Letters, 5(3), 407-416.
Holland, J. H. (1975). Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. U Michigan Press.
Javadi, B., Jolai, F., Slomp, J., Rabbani, M., & Tavakkoli-Moghaddam, R. (2014). A hybrid electromagnetism-like algorithm for dynamic inter/intra-cell layout problem. International Journal of Computer Integrated Manufacturing,27(6), 501-518.
Jolai, F., Taghipour, M., & Javadi, B. (2011). A variable neighborhood binary particle swarm algorithm for cell layout problem. The International Journal of Advanced Manufacturing Technology, 55(1-4), 327-339.
Kia, R., Khaksar-Haghani, F., Javadian, N., & Tavakkoli-Moghaddam, R. (2014). Solving a multi-floor layout design model of a dynamic cellular manufacturing system by an efficient genetic algorithm. Journal of Manufacturing Systems, 33(1), 218-232.
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.
Kulkarni, P. C., & Shanker, K. (2013, December). Genetic algorithm approach for solving intercellular layout problems in cellular manufacturing systems. In 2013 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 1587-1591). IEEE.
Li, J., Alden, J. M., & Rabaey, J. R. (2005). Approximating feeder line reliability statistics with partial data collection in assembly systems.Computers & Industrial Engineering, 48(2), 181-203.
Li, L., Li, C., Ma, H., & Tang, Y. (2015). An optimization method for the remanufacturing dynamic facility layout problem with uncertainties. Discrete Dynamics in Nature and Society, 2015.
Luss, H. (1989). Synchronized manufacturing at final assembly and feeder shops. International journal of production research, 27(8), 1413-1426.
Mahdavi, I., Shirazi, B., & Paydar, M. M. (2008). A flow matrix-based heuristic algorithm for cell formation and layout design in cellular manufacturing system. The International Journal of Advanced Manufacturing Technology, 39(9-10), 943-953.
Mehdizadeh, E., Tavakkoli-Moghaddam, R., & Yazdani, M. (2015). A vibration damping optimization algorithm for a parallel machines scheduling problem with sequence-independent family setup times. Applied Mathematical Modelling, 39(22), 6845-6859.
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.
Naderi, B., Zandieh, M., Balagh, A. K. G., & Roshanaei, V. (2009). An improved simulated annealing for hybrid flowshops with sequence-dependent setup and transportation times to minimize total completion time and total tardiness. Expert systems with Applications, 36(6), 9625-9633.
Nourmohammadi, A., & Zandieh, M. (2011). Assembly line balancing by a new multi-objective differential evolution algorithm based on TOPSIS.International Journal of Production Research, 49(10), 2833-2855.
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.
Pattanaik, L. N., & Sharma, B. P. (2009). Implementing lean manufacturing with cellular layout: a case study. The International Journal of Advanced Manufacturing Technology, 42(7-8), 772-779.
Saif, U., Guan, Z., Wang, B., Mirza, J., & Huang, S. (2014). A survey on assembly lines and its types. Frontiers of Mechanical Engineering, 9(2), 95-105.
Samarghandi, H., & Eshghi, K. (2010). An efficient tabu algorithm for the single row facility layout problem. European Journal of Operational Research,205(1), 98-105.
Sridhar, J., & Rajendran, C. (1993). Scheduling in a cellular manufacturing system: a simulated annealing approach. The International Journal of Production Reseach, 31(12), 2927-2945.
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.
Tompkins, J. A., White, J. A., Bozer, Y. A., & Tanchoco, J. M. A. (2010).Facilities planning. John Wiley & Sons.
Tsai, J. T., Ho, W. H., Liu, T. K., & Chou, J. H. (2007). Improved immune algorithm for global numerical optimization and job-shop scheduling problems. Applied Mathematics and Computation, 194(2), 406-424.
Wang, T. Y., Wu, K. B., & Liu, Y. W. (2001). A simulated annealing algorithm for facility layout problems 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 design and layout. European Journal of Operational Research, 181(1), 156-167.
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 Integrated Manufacturing, 25(7), 625-635.
Azzi, A., Battini, D., Faccio, M., & Persona, A. (2012). Mixed model assembly system with multiple secondary feeder lines: layout design and balancing procedure for ATO environment. International Journal of Production Research, 50(18), 5132-5151.
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 Mathematical Modelling, 38(4), 1237-1254.
Balakrishnan, J., & Cheng, C. H. (2007). Multi-period planning and uncertainty issues in cellular manufacturing: A review and future directions.European Journal of Operational Research, 177(1), 281-309.
Battaïa, O., & Dolgui, A. (2013). A taxonomy of line balancing problems and their solutionapproaches. International Journal of Production Economics,142(2), 259-277.
Bazargan-Lari, M., Kaebernick, H., & Harraf, A. (2000). Cell formation and layout designs in a cellular manufacturing environment a case study.International Journal of Production Research, 38(7), 1689-1709..
Boysen, N., Fliedner, M., & Scholl, A. (2008). Assembly line balancing: Which model to use when?. International Journal of Production Economics,111(2), 509-528.
Bozer, Y. A., & Wang, C. T. (2012). A graph-pair representation and MIP-model-based heuristic for the unequal-area facility layout problem. European Journal of Operational Research, 218(2), 382-391.
Chan, W. M., Chan, C. Y., & Kwong, C. K. (2004). Development of the MAIN algorithm for a cellular manufacturing machine layout. International journal of production research, 42(1), 51-65.
Chiang, C. P., & Lee, S. D. (2004). A genetic-based algorithm with the optimal partition approach for the cell formation in bi-directional linear flow layout. International Journal of Computer Integrated Manufacturing, 17(4), 364-375.
Glover, F., & Laguna, M. (1997). Tabu SearchKluwer Academic Publishers.Boston, MA.
Glover, F., & Laguna, M. (2013). Tabu Search∗ (pp. 3261-3362). Springer New York.
Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Professional. Reading, Massachusetts, US.
Golmohammadi, A., Bani-Asadi, H., Esmaeeli, H., Hadian, H., & Bagheri, F. (2016). Facility layout for cellular manufacturing system under dynamic conditions. Decision Science Letters, 5(3), 407-416.
Holland, J. H. (1975). Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. U Michigan Press.
Javadi, B., Jolai, F., Slomp, J., Rabbani, M., & Tavakkoli-Moghaddam, R. (2014). A hybrid electromagnetism-like algorithm for dynamic inter/intra-cell layout problem. International Journal of Computer Integrated Manufacturing,27(6), 501-518.
Jolai, F., Taghipour, M., & Javadi, B. (2011). A variable neighborhood binary particle swarm algorithm for cell layout problem. The International Journal of Advanced Manufacturing Technology, 55(1-4), 327-339.
Kia, R., Khaksar-Haghani, F., Javadian, N., & Tavakkoli-Moghaddam, R. (2014). Solving a multi-floor layout design model of a dynamic cellular manufacturing system by an efficient genetic algorithm. Journal of Manufacturing Systems, 33(1), 218-232.
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.
Kulkarni, P. C., & Shanker, K. (2013, December). Genetic algorithm approach for solving intercellular layout problems in cellular manufacturing systems. In 2013 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 1587-1591). IEEE.
Li, J., Alden, J. M., & Rabaey, J. R. (2005). Approximating feeder line reliability statistics with partial data collection in assembly systems.Computers & Industrial Engineering, 48(2), 181-203.
Li, L., Li, C., Ma, H., & Tang, Y. (2015). An optimization method for the remanufacturing dynamic facility layout problem with uncertainties. Discrete Dynamics in Nature and Society, 2015.
Luss, H. (1989). Synchronized manufacturing at final assembly and feeder shops. International journal of production research, 27(8), 1413-1426.
Mahdavi, I., Shirazi, B., & Paydar, M. M. (2008). A flow matrix-based heuristic algorithm for cell formation and layout design in cellular manufacturing system. The International Journal of Advanced Manufacturing Technology, 39(9-10), 943-953.
Mehdizadeh, E., Tavakkoli-Moghaddam, R., & Yazdani, M. (2015). A vibration damping optimization algorithm for a parallel machines scheduling problem with sequence-independent family setup times. Applied Mathematical Modelling, 39(22), 6845-6859.
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.
Naderi, B., Zandieh, M., Balagh, A. K. G., & Roshanaei, V. (2009). An improved simulated annealing for hybrid flowshops with sequence-dependent setup and transportation times to minimize total completion time and total tardiness. Expert systems with Applications, 36(6), 9625-9633.
Nourmohammadi, A., & Zandieh, M. (2011). Assembly line balancing by a new multi-objective differential evolution algorithm based on TOPSIS.International Journal of Production Research, 49(10), 2833-2855.
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.
Pattanaik, L. N., & Sharma, B. P. (2009). Implementing lean manufacturing with cellular layout: a case study. The International Journal of Advanced Manufacturing Technology, 42(7-8), 772-779.
Saif, U., Guan, Z., Wang, B., Mirza, J., & Huang, S. (2014). A survey on assembly lines and its types. Frontiers of Mechanical Engineering, 9(2), 95-105.
Samarghandi, H., & Eshghi, K. (2010). An efficient tabu algorithm for the single row facility layout problem. European Journal of Operational Research,205(1), 98-105.
Sridhar, J., & Rajendran, C. (1993). Scheduling in a cellular manufacturing system: a simulated annealing approach. The International Journal of Production Reseach, 31(12), 2927-2945.
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.
Tompkins, J. A., White, J. A., Bozer, Y. A., & Tanchoco, J. M. A. (2010).Facilities planning. John Wiley & Sons.
Tsai, J. T., Ho, W. H., Liu, T. K., & Chou, J. H. (2007). Improved immune algorithm for global numerical optimization and job-shop scheduling problems. Applied Mathematics and Computation, 194(2), 406-424.
Wang, T. Y., Wu, K. B., & Liu, Y. W. (2001). A simulated annealing algorithm for facility layout problems 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 design and layout. European Journal of Operational Research, 181(1), 156-167.