How to cite this paper
Rabbani, M., Navazi, F., Farrokhi-Asl, H & Balali, M. (2018). A sustainable transportation-location-routing problem with soft time windows for distribution systems.Uncertain Supply Chain Management, 6(3), 229-254.
Refrences
Azadeh, A., & Farrokhi-Asl, H. (2017). The close–open mixed multi depot vehicle routing problem considering internal and external fleet of vehicles. Transportation Letters, 1–15.
Bektas, T., & Laporte, G. (2011). The Pollution-Routing Problem. Transportation Research Part B, 45, 1232–1250.
Cuda, R., Guastaroba, G., & Speranza, M. G. (2015). A survey on two-echelon routing problems. Computers and Operation Research, 55, 185–199.
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2), 182–197.
Demir, E., Bektas, T., & Laporte, G. (2014). The bi-objective Pollution-Routing Problem. European Journal of Operational Research, 232(3), 464–478.
Erdoğan, S., & Miller-Hooks, E. (2012). A green vehicle routing problem. Transportation Research Part E: Logistics and Transportation Review, 48(1), 100-114.
Eskandarpour, M., Dejax, P., Miemczyk, J., & Péton, O. (2015). Sustainable supply chain network design: An optimization-oriented review. Omega, 54, 11–32.
Farrokhi-Asl, H., Tavakkoli-Moghaddam, R., Asgarian, B., & Sangari, E. (2017). Metaheuristics for a bi-objective location-routing-problem in waste collection management. Journal of Industrial and Production Engineering, 34(4), 239–252.
Faulin, J., Juan, A., Lera, F., & Grasman, S. (2011). Solving the Capacitated Vehicle Routing Problem with Environmental Criteria Based on Real Estimations in Road Transportation : A Case Study. Procedia - Social and Behavioral Sciences, 20, 323–334.
Fazel Zarandi, M. H., Hemmati, A., Davari, S., & Burhan Turksen, I. (2013). Capacitated location-routing problem with time windows under uncertainty. Knowledge-Based Systems, 37, 480–489.
Forkenbrock, D. J. (2001). Comparison of external costs of rail and truck freight transportation. Transportation Research Part A: Policy and Practice, 35(4), 321–337.
Govindan, K., Jafarian, A., Khodaverdi, R., & Devika, K. (2014). Two-echelon multiple-vehicle location-routing problem with time windows for optimization of sustainable supply chain network of perishable food. International Journal of Production Economics, 152.
Hossein, M., Zarandi, F., Hemmati, A., Davari, S., & Turksen, I. B. (2013). Capacitated location-routing problem with time windows under uncertainty. Knowledge-Based Systems, 37, 480–489.
Iqbal, S., Kaykobad, M., & Rahman, M. S. (2015). Solving the multi-objective vehicle routing problem with soft time windows with the help of bees. Swarm and Evolutionary Computation, 24, 50–64.
Kara, I., Kara, B. Y., & Yetis, M. K. (2007). Energy minimizing vehicle routing problem. Combinatorial Optimization and Application, Springer, 1, 62–71.
Khalili-Damghani, K., Abtahi, A.-R., & Ghasemi, A. (2015). A new bi-objective location-routing problem for distribution of perishable products: Evolutionary computation approach. Journal of Mathematical Modelling and Algorithms in Operations Research, 14(3).
Kuo, Y. (2010). Using simulated annealing to minimize fuel consumption for the time-dependent vehicle routing problem. Computers & Industrial Engineering, 59(1), 157–165.
Lin, C., Choy, K. L., Ho, G. T. S., Chung, S. H., & Lam, H. Y. (2014). Survey of green vehicle routing problem : Past and future trends. Expert Systems with Applications, 41, 1118–1138.
Maden, W., Eglese, R., & Black, D. (2009). Vehicle routing and scheduling with time-varying data : A case study. Journal of the Operational Research Society, 61(3), 515–522.
Maranzana, F. E. (1964). On the location of supply points to minimize transport costs. Operations Research, 261–270.
Martínez-Salazar, I. A., Molina, J., Ángel-Bello, F., Gómez, T., & Caballero, R. (2014). Solving a bi-objective transportation location routing problem by metaheuristic algorithms. European Journal of Operational Research, 234(1), 25–36.
Meng, Z., & Pan, J.-S. (2016). Monkey King Evolution: A new memetic evolutionary algorithm and its application in vehicle fuel consumption optimization. Knowledge-Based Systems, 97, 144–157.
Moshref-javadi, M., & Lee, S. (2016). The latency location-routing problem. European Journal of Operational Research, 255(2), 604–619.
Nagy, G., & Salhi, S. (2007). Location-routing : Issues , models and methods. European Journal of Operational Research, 177(2), 649–672.
Nasherahkami, N., Bashiri, M., & Bagherinejad, J. (2015, December). Modeling of periodic location routing problem with time window and satisfaction dependent demands. In Industrial Engineering and Engineering Management (IEEM), 2015 IEEE International Conference on (pp. 1457–1461). IEEE.
Price, R., Thornton, S., & Nelson, S. (2007). The social cost of carbon and the shadow price of carbon: what they are, and how to use them in economic appraisal in the UK.
Prodhon, C., & Prins, C. (2014). A survey of recent research on location-routing problems. European Journal of Operational Research, 238(1),1–17.
Rabbani, M., Farrokhi-Asl, H., & Asgarian, B. (2017). Solving a bi-objective location routing problem by a NSGA-II combined with clustering approach: application in waste collection problem. Journal of Industrial Engineering International, 13(1), 13–27.
Rabbani, M., Mousavi, Z., & Farrokhi-Asl, H. (2016). Multi-objective metaheuristics for solving a type II robotic mixed-model assembly line balancing problem. Journal of Industrial and Production Engineering, 33(7), 472–484.
Rahmani, Y., Ramdane Cherif-Khettaf, W., & Oulamara, A. (2016). The two-echelon multi-products location-routing problem with pickup and delivery: Formulation and heuristic approaches. International Journal of Production Research, 54(4), 999–1019.
Ray, S., Soeanu, A., Berger, J., & Debbabi, M. (2014). The multi-depot split-delivery vehicle routing problem : Model and solution algorithm. Knowledge-Based Systems, 71, 238–265.
Reyes-sierra, M., & Coello, C. A. C. (2006). Multi-objective particle swarm optimizers : A survey of the state-of-the-art. International Journal of Computational Intelligence Research, 2(3), 287–308.
Xiao, Y., Zhao, Q., Kaku, I., & Xu, Y. (2012). Development of a fuel consumption optimization model for the capacitated vehicle routing problem. Computers and Operations Research, 39(7).
Zhalechian, M., Tavakkoli-moghaddam, R., Zahiri, B., & Mohammadi, M. (2016). Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty. Transportation Research Part E, 89, 182–214.
Zhang, Y., & Chen, X. D. (2014). An Optimization Model for the Vehicle Routing Problem in Multi-product Frozen Food Delivery. Journal of Applied Research and Technology, 12(2), 239–250.
Bektas, T., & Laporte, G. (2011). The Pollution-Routing Problem. Transportation Research Part B, 45, 1232–1250.
Cuda, R., Guastaroba, G., & Speranza, M. G. (2015). A survey on two-echelon routing problems. Computers and Operation Research, 55, 185–199.
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2), 182–197.
Demir, E., Bektas, T., & Laporte, G. (2014). The bi-objective Pollution-Routing Problem. European Journal of Operational Research, 232(3), 464–478.
Erdoğan, S., & Miller-Hooks, E. (2012). A green vehicle routing problem. Transportation Research Part E: Logistics and Transportation Review, 48(1), 100-114.
Eskandarpour, M., Dejax, P., Miemczyk, J., & Péton, O. (2015). Sustainable supply chain network design: An optimization-oriented review. Omega, 54, 11–32.
Farrokhi-Asl, H., Tavakkoli-Moghaddam, R., Asgarian, B., & Sangari, E. (2017). Metaheuristics for a bi-objective location-routing-problem in waste collection management. Journal of Industrial and Production Engineering, 34(4), 239–252.
Faulin, J., Juan, A., Lera, F., & Grasman, S. (2011). Solving the Capacitated Vehicle Routing Problem with Environmental Criteria Based on Real Estimations in Road Transportation : A Case Study. Procedia - Social and Behavioral Sciences, 20, 323–334.
Fazel Zarandi, M. H., Hemmati, A., Davari, S., & Burhan Turksen, I. (2013). Capacitated location-routing problem with time windows under uncertainty. Knowledge-Based Systems, 37, 480–489.
Forkenbrock, D. J. (2001). Comparison of external costs of rail and truck freight transportation. Transportation Research Part A: Policy and Practice, 35(4), 321–337.
Govindan, K., Jafarian, A., Khodaverdi, R., & Devika, K. (2014). Two-echelon multiple-vehicle location-routing problem with time windows for optimization of sustainable supply chain network of perishable food. International Journal of Production Economics, 152.
Hossein, M., Zarandi, F., Hemmati, A., Davari, S., & Turksen, I. B. (2013). Capacitated location-routing problem with time windows under uncertainty. Knowledge-Based Systems, 37, 480–489.
Iqbal, S., Kaykobad, M., & Rahman, M. S. (2015). Solving the multi-objective vehicle routing problem with soft time windows with the help of bees. Swarm and Evolutionary Computation, 24, 50–64.
Kara, I., Kara, B. Y., & Yetis, M. K. (2007). Energy minimizing vehicle routing problem. Combinatorial Optimization and Application, Springer, 1, 62–71.
Khalili-Damghani, K., Abtahi, A.-R., & Ghasemi, A. (2015). A new bi-objective location-routing problem for distribution of perishable products: Evolutionary computation approach. Journal of Mathematical Modelling and Algorithms in Operations Research, 14(3).
Kuo, Y. (2010). Using simulated annealing to minimize fuel consumption for the time-dependent vehicle routing problem. Computers & Industrial Engineering, 59(1), 157–165.
Lin, C., Choy, K. L., Ho, G. T. S., Chung, S. H., & Lam, H. Y. (2014). Survey of green vehicle routing problem : Past and future trends. Expert Systems with Applications, 41, 1118–1138.
Maden, W., Eglese, R., & Black, D. (2009). Vehicle routing and scheduling with time-varying data : A case study. Journal of the Operational Research Society, 61(3), 515–522.
Maranzana, F. E. (1964). On the location of supply points to minimize transport costs. Operations Research, 261–270.
Martínez-Salazar, I. A., Molina, J., Ángel-Bello, F., Gómez, T., & Caballero, R. (2014). Solving a bi-objective transportation location routing problem by metaheuristic algorithms. European Journal of Operational Research, 234(1), 25–36.
Meng, Z., & Pan, J.-S. (2016). Monkey King Evolution: A new memetic evolutionary algorithm and its application in vehicle fuel consumption optimization. Knowledge-Based Systems, 97, 144–157.
Moshref-javadi, M., & Lee, S. (2016). The latency location-routing problem. European Journal of Operational Research, 255(2), 604–619.
Nagy, G., & Salhi, S. (2007). Location-routing : Issues , models and methods. European Journal of Operational Research, 177(2), 649–672.
Nasherahkami, N., Bashiri, M., & Bagherinejad, J. (2015, December). Modeling of periodic location routing problem with time window and satisfaction dependent demands. In Industrial Engineering and Engineering Management (IEEM), 2015 IEEE International Conference on (pp. 1457–1461). IEEE.
Price, R., Thornton, S., & Nelson, S. (2007). The social cost of carbon and the shadow price of carbon: what they are, and how to use them in economic appraisal in the UK.
Prodhon, C., & Prins, C. (2014). A survey of recent research on location-routing problems. European Journal of Operational Research, 238(1),1–17.
Rabbani, M., Farrokhi-Asl, H., & Asgarian, B. (2017). Solving a bi-objective location routing problem by a NSGA-II combined with clustering approach: application in waste collection problem. Journal of Industrial Engineering International, 13(1), 13–27.
Rabbani, M., Mousavi, Z., & Farrokhi-Asl, H. (2016). Multi-objective metaheuristics for solving a type II robotic mixed-model assembly line balancing problem. Journal of Industrial and Production Engineering, 33(7), 472–484.
Rahmani, Y., Ramdane Cherif-Khettaf, W., & Oulamara, A. (2016). The two-echelon multi-products location-routing problem with pickup and delivery: Formulation and heuristic approaches. International Journal of Production Research, 54(4), 999–1019.
Ray, S., Soeanu, A., Berger, J., & Debbabi, M. (2014). The multi-depot split-delivery vehicle routing problem : Model and solution algorithm. Knowledge-Based Systems, 71, 238–265.
Reyes-sierra, M., & Coello, C. A. C. (2006). Multi-objective particle swarm optimizers : A survey of the state-of-the-art. International Journal of Computational Intelligence Research, 2(3), 287–308.
Xiao, Y., Zhao, Q., Kaku, I., & Xu, Y. (2012). Development of a fuel consumption optimization model for the capacitated vehicle routing problem. Computers and Operations Research, 39(7).
Zhalechian, M., Tavakkoli-moghaddam, R., Zahiri, B., & Mohammadi, M. (2016). Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty. Transportation Research Part E, 89, 182–214.
Zhang, Y., & Chen, X. D. (2014). An Optimization Model for the Vehicle Routing Problem in Multi-product Frozen Food Delivery. Journal of Applied Research and Technology, 12(2), 239–250.