How to cite this paper
Dabibi, M., Moghaddam, B & Kazemi, M. (2016). Locating distribution/service centers based on multi objective decision making using set covering and proximity to stock market.International Journal of Industrial Engineering Computations , 7(4), 635-648.
Refrences
Aickelin, U. (2002). An indirect genetic algorithm for set covering problems. Journal of the Operational Research Society, 1118-1126.
Akgun, I., Gumuşbuga, F., & Tansel, B. (2015). Risk based facility location by using fault tree analysis in disaster management. Omega, 52, 168-179.
Amin, S. H., & Zhang, G. (2013). A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return. Applied Mathematical Modelling, 37(6), 4165-4176.
Anderssen, T. W., & Lindestad, B. (1998). Customer Loyalty and Complex Service. International Journal of Service Industry Management, 9, 7-32.
Ardjmand, E., Weckman, G., Park, N., Taherkhani, P., & Singh, M. (2015). Applying genetic algorithm to a new location and routing model of hazardous materials. International Journal of Production Research, 53(3), 916-928.
Ardjmand, E., Young, W. A., Weckman, G. R., Bajgiran, O. S., Aminipour, B., & Park, N. (2016). Applying genetic algorithm to a new bi-objective stochastic model for transportation, location, and allocation of hazardous materials. Expert Systems with Applications, 51, 49-58.
Berube, J. F., Gendreau, M., & Potvin, J. Y. (2009). An exact ϵ-constraint method for bi-objective combinatorial optimization problems: Application to the Traveling Salesman Problem with Profits. European Journal of Operational Research, 194(1), 39-50.
Brandeau, M. L., & Chiu, S. S. (1989). An overview of representative problems in location research. Management science, 35(6), 645-674.
Chiu, S. I., Cheng, C. C., Yen, T. M., & Hu, H. Y. (2011). Preliminary research on customer satisfaction models in Taiwan: A case study from the automobile industry. Expert Systems with Applications, 38(8), 9780-9787.
Dell’Olmo, P., Ricciardi, N., & Sgalambro, A. (2014). A Multiperiod Maximal Covering Location Model for the optimal location of intersection safety cameras on an urban traffic network. Procedia-Social and Behavioral Sciences, 108, 106-117.
Dinler, D., Tural, M. K., & Iyigun, C. (2015). Heuristics for a continuous multi-facility location problem with demand regions. Computers & Operations Research, 62, 237-256.
Dutta, H. S. (2009). Survey of approximation algorithms for set cover problem. University of North Texas.
Farahani, R. Z., & Asgari, N. (2007). Combination of MCDM and covering techniques in a hierarchical model for facility location: A case study. European Journal of Operational Research, 176(3), 1839-1858.
Farahani, R. Z., Hassani, A., Mousavi, S. M., & Baygi, M. B. (2014). A hybrid artificial bee colony for disruption in a hierarchical maximal covering location problem. Computers & Industrial Engineering, 75, 129-141.
Gutjahr, W. J., & Dzubur, N. (2016). Bi-objective bilevel optimization of distribution center locations considering user equilibria. Transportation Research Part E: Logistics and Transportation Review, 85, 1-22.
Haimes, Y. Y., Ladson, L. S., & Wismer, D. A. (1971). Bicriterion formulation of problems of integrated system identification and system optimization. IEEE Transactions on Systems Man and Cybernetics, (3), 296.
Hamedani, S., Jabalameli, M., & Bozorgi-Amiri, A. (2013). A multi-objective model for locating distribution centers in a supply chain network considering risk and inventory decisions. Management Science Letters, 3(4), 1077-1088.
Hosage, C. M., & Goodchild, M. F. (1986). Discrete space location-allocation solutions from genetic algorithms. Annals of Operations Research, 6(2), 35-46.
Hosseininezhad, S. J., Jabalameli, M. S., & Naini, S. G. J. (2013). A continuous covering location model with risk consideration. Applied Mathematical Modelling, 37(23), 9665-9676.
Jaramillo, J. H., Bhadury, J., & Batta, R. (2002). On the use of genetic algorithms to solve location problems. Computers & Operations Research, 29(6), 761-779.
Karp, R. M. (1972). Reducibility among combinatorial problems (pp. 85-103). springer US.
Klose, A., & Drexl, A. (2005). Facility location models for distribution system design. European Journal of Operational Research, 162(1), 4-29.
Khorsi, M., Bozorgi-Amiri, A., & Ashjari, B. (2013). A nonlinear dynamic logistics model for disaster response under uncertainty. Significance, 3, 4.
Malekinezhad, A., Shirazi, E., & Aryanezhad, M. (2011). A multi-objective set covering problem: A case study of warehouse allocation in truck industry. Management Science Letters, 1(1), 73-80.
Mavrotas, G. (2009). Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Applied mathematics and computation, 213(2), 455-465.
Ramezani, M., Bashiri, M., & Tavakkoli-Moghaddam, R. (2013). A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level. Applied Mathematical Modelling, 37(1), 328-344.
Rath, S., & Gutjahr, W. J. (2014). A math-heuristic for the warehouse location–routing problem in disaster relief. Computers & Operations Research, 42, 25-39.
Ren, Y., & Awasthi, A. (2015). Investigating metaheuristics applications for capacitated location allocation problem on logistics networks. In Chaos Modeling and Control Systems Design (pp. 213-238). Springer International Publishing.
Saffar, M. H. S. G., & Razmi, J. (2015). A new multi objective optimization model for designing a green supply chain network under uncertainty. International Journal of Industrial Engineering Computations, 6(1), 15-32.
Santouridis, I., & Trivellas, P. (2010). Investigating the impact of service quality and customer satisfaction on customer loyalty in mobile telephony in Greece. The TQM Journal, 22(3), 330-343.
Sapkota, N., & Reilly, C. H. (2011). Simulating realistic set covering problems with known optimal solutions. Computers & Industrial Engineering, 61(1), 39-47
Schmid, V., & Doerner, K. F. (2010). Ambulance location and relocation problems with time-dependent travel times. European Journal of Operational Research, 207(3), 1293-1303.
Tang, S. H., Boyer, O., Pedram, A., Mohd Yusuff, R., & Zulkifli, N. (2013). A review on multiple criteria undesirable facility location problems. Journal of Basic and Applied Scientific Research, 3(8), 708-713.
Wang, K. J., Makond, B., & Liu, S. Y. (2011). Location and allocation decisions in a two-echelon supply chain with stochastic demand–A genetic-algorithm based solution. Expert Systems with Applications, 38(5), 6125-6131.
Wang, B., Fu, X., Chen, T., & Zhou, G. (2014). Modeling Supply Chain Facility Location Problem and Its Solution Using a Genetic Algorithm. Journal of Software, 9(9), 2335-2341.
Ye, L., Ye, C., & Chuang, Y. F. (2011). Location set covering for waste resource recycling centers in Taiwan. Resources, Conservation and Recycling, 55(11), 979-985.
Akgun, I., Gumuşbuga, F., & Tansel, B. (2015). Risk based facility location by using fault tree analysis in disaster management. Omega, 52, 168-179.
Amin, S. H., & Zhang, G. (2013). A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return. Applied Mathematical Modelling, 37(6), 4165-4176.
Anderssen, T. W., & Lindestad, B. (1998). Customer Loyalty and Complex Service. International Journal of Service Industry Management, 9, 7-32.
Ardjmand, E., Weckman, G., Park, N., Taherkhani, P., & Singh, M. (2015). Applying genetic algorithm to a new location and routing model of hazardous materials. International Journal of Production Research, 53(3), 916-928.
Ardjmand, E., Young, W. A., Weckman, G. R., Bajgiran, O. S., Aminipour, B., & Park, N. (2016). Applying genetic algorithm to a new bi-objective stochastic model for transportation, location, and allocation of hazardous materials. Expert Systems with Applications, 51, 49-58.
Berube, J. F., Gendreau, M., & Potvin, J. Y. (2009). An exact ϵ-constraint method for bi-objective combinatorial optimization problems: Application to the Traveling Salesman Problem with Profits. European Journal of Operational Research, 194(1), 39-50.
Brandeau, M. L., & Chiu, S. S. (1989). An overview of representative problems in location research. Management science, 35(6), 645-674.
Chiu, S. I., Cheng, C. C., Yen, T. M., & Hu, H. Y. (2011). Preliminary research on customer satisfaction models in Taiwan: A case study from the automobile industry. Expert Systems with Applications, 38(8), 9780-9787.
Dell’Olmo, P., Ricciardi, N., & Sgalambro, A. (2014). A Multiperiod Maximal Covering Location Model for the optimal location of intersection safety cameras on an urban traffic network. Procedia-Social and Behavioral Sciences, 108, 106-117.
Dinler, D., Tural, M. K., & Iyigun, C. (2015). Heuristics for a continuous multi-facility location problem with demand regions. Computers & Operations Research, 62, 237-256.
Dutta, H. S. (2009). Survey of approximation algorithms for set cover problem. University of North Texas.
Farahani, R. Z., & Asgari, N. (2007). Combination of MCDM and covering techniques in a hierarchical model for facility location: A case study. European Journal of Operational Research, 176(3), 1839-1858.
Farahani, R. Z., Hassani, A., Mousavi, S. M., & Baygi, M. B. (2014). A hybrid artificial bee colony for disruption in a hierarchical maximal covering location problem. Computers & Industrial Engineering, 75, 129-141.
Gutjahr, W. J., & Dzubur, N. (2016). Bi-objective bilevel optimization of distribution center locations considering user equilibria. Transportation Research Part E: Logistics and Transportation Review, 85, 1-22.
Haimes, Y. Y., Ladson, L. S., & Wismer, D. A. (1971). Bicriterion formulation of problems of integrated system identification and system optimization. IEEE Transactions on Systems Man and Cybernetics, (3), 296.
Hamedani, S., Jabalameli, M., & Bozorgi-Amiri, A. (2013). A multi-objective model for locating distribution centers in a supply chain network considering risk and inventory decisions. Management Science Letters, 3(4), 1077-1088.
Hosage, C. M., & Goodchild, M. F. (1986). Discrete space location-allocation solutions from genetic algorithms. Annals of Operations Research, 6(2), 35-46.
Hosseininezhad, S. J., Jabalameli, M. S., & Naini, S. G. J. (2013). A continuous covering location model with risk consideration. Applied Mathematical Modelling, 37(23), 9665-9676.
Jaramillo, J. H., Bhadury, J., & Batta, R. (2002). On the use of genetic algorithms to solve location problems. Computers & Operations Research, 29(6), 761-779.
Karp, R. M. (1972). Reducibility among combinatorial problems (pp. 85-103). springer US.
Klose, A., & Drexl, A. (2005). Facility location models for distribution system design. European Journal of Operational Research, 162(1), 4-29.
Khorsi, M., Bozorgi-Amiri, A., & Ashjari, B. (2013). A nonlinear dynamic logistics model for disaster response under uncertainty. Significance, 3, 4.
Malekinezhad, A., Shirazi, E., & Aryanezhad, M. (2011). A multi-objective set covering problem: A case study of warehouse allocation in truck industry. Management Science Letters, 1(1), 73-80.
Mavrotas, G. (2009). Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Applied mathematics and computation, 213(2), 455-465.
Ramezani, M., Bashiri, M., & Tavakkoli-Moghaddam, R. (2013). A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level. Applied Mathematical Modelling, 37(1), 328-344.
Rath, S., & Gutjahr, W. J. (2014). A math-heuristic for the warehouse location–routing problem in disaster relief. Computers & Operations Research, 42, 25-39.
Ren, Y., & Awasthi, A. (2015). Investigating metaheuristics applications for capacitated location allocation problem on logistics networks. In Chaos Modeling and Control Systems Design (pp. 213-238). Springer International Publishing.
Saffar, M. H. S. G., & Razmi, J. (2015). A new multi objective optimization model for designing a green supply chain network under uncertainty. International Journal of Industrial Engineering Computations, 6(1), 15-32.
Santouridis, I., & Trivellas, P. (2010). Investigating the impact of service quality and customer satisfaction on customer loyalty in mobile telephony in Greece. The TQM Journal, 22(3), 330-343.
Sapkota, N., & Reilly, C. H. (2011). Simulating realistic set covering problems with known optimal solutions. Computers & Industrial Engineering, 61(1), 39-47
Schmid, V., & Doerner, K. F. (2010). Ambulance location and relocation problems with time-dependent travel times. European Journal of Operational Research, 207(3), 1293-1303.
Tang, S. H., Boyer, O., Pedram, A., Mohd Yusuff, R., & Zulkifli, N. (2013). A review on multiple criteria undesirable facility location problems. Journal of Basic and Applied Scientific Research, 3(8), 708-713.
Wang, K. J., Makond, B., & Liu, S. Y. (2011). Location and allocation decisions in a two-echelon supply chain with stochastic demand–A genetic-algorithm based solution. Expert Systems with Applications, 38(5), 6125-6131.
Wang, B., Fu, X., Chen, T., & Zhou, G. (2014). Modeling Supply Chain Facility Location Problem and Its Solution Using a Genetic Algorithm. Journal of Software, 9(9), 2335-2341.
Ye, L., Ye, C., & Chuang, Y. F. (2011). Location set covering for waste resource recycling centers in Taiwan. Resources, Conservation and Recycling, 55(11), 979-985.