How to cite this paper
Rabbani, M., Farshbaf-Geranmayeh, A & Haghjoo, N. (2016). Vehicle routing problem with considering multi-middle depots for perishable food delivery.Uncertain Supply Chain Management, 4(3), 171-182.
Refrences
Agustina, D., Lee, C., & Piplani, R. (2014). Vehicle scheduling and routing at a cross docking center for food supply chains. International Journal of Production Economics, 152, 29-41.
Akbari, F., Fazlollahtabar, H., & Mahdavi, I. (2013). An uncertain decision making process considering customers and services in evaluating banks: A case study. International Journal of Strategic Decision Sciences (IJSDS), 4(2), 48-78.
Amorim, P., & Almada-Lobo, B. (2014). The impact of food perishability issues in the vehicle routing problem. Computers & Industrial Engineering, 67, 223-233.
Baldacci, R., & Mingozzi, A. (2009). A unified exact method for solving different classes of vehicle routing problems. Mathematical Programming, 120(2), 347-380.
Carpaneto, G., Dell & apos; Amico, M., Fischetti, M., & Toth, P. (1989). A branch and bound algorithm for the multiple depot vehicle scheduling problem. Networks, 19(5), 531-548.
Chen, H.-K., Hsueh, C.-F., & Chang, M.-S. (2009). Production scheduling and vehicle routing with time windows for perishable food products. Computers & Operations Research, 36(7), 2311-2319.
Contardo, C., & Martinelli, R. (2014). A new exact algorithm for the multi-depot vehicle routing problem under capacity and route length constraints. Discrete Optimization, 12, 129-146.
Dantzig, G. B., & Ramser, J. H. (1959). The truck dispatching problem. Management Science, 6(1), 80-91.
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, 9-28.
Gustavsson, J., Cederberg, C., Sonesson, U., Van Otterdijk, R., & Meybeck, A. (2011). Global food losses and food waste. Food and Agriculture Organization of the United Nations, Rom.
Hsu, C.-I., Hung, S.-F., & Li, H.-C. (2007). Vehicle routing problem with time-windows for perishable food delivery. Journal of Food Engineering, 80(2), 465-475.
Holland, J., (1992). Adaptation in natural and artificial systems: MIT Press, Cambridge, MA.
Khakbaz, H., & Bhattacharjya, J. (2014). Maritime Empty Container Repositioning: A Problem Review. International Journal of Strategic Decision Sciences (IJSDS), 5(1), 1-23.
Kulkarni, R., & Bhave, P. R. (1985). Integer programming formulations of vehicle routing problems. European Journal of Operational Research, 20(1), 58-67.
Laporte, G. (1989). Integer programming formulations for the multi-depot vehicle routing problem: Comments on a paper by Kulkarni and Behave. European Journal of Operational Research, 38(2), 227.
Laporte, G., Nobert, Y., & Arpin, D. (1984). Optimal solutions to capacitated multidepot vehicle routing problems: Ecole des hautes études commerciales.
Laporte, G., Nobert, Y., & Taillefer, S. (1988). Solving a family of multi-depot vehicle routing and location-routing problems. Transportation Science, 22(3), 161-172.
Lawrence, S., & Mohammad, A. (1996). Parametric experimentation with a genetic algorithmic configuration for solving the vehicle routing problem. Paper presented at the Proceedings Annual Meeting of the Decision Sciences Institute, Decis Sci Inst.
Nahmias, S. (1982). Perishable inventory theory: A review. Operations Research, 30(4), 680-708.
Osvald, A., & Stirn, L. Z. (2008). A vehicle routing algorithm for the distribution of fresh vegetables and similar perishable food. Journal of Food Engineering, 85(2), 285-295.
Raafat, F. F., Wolfe, P. M., & Eldin, H. K. (1991). An inventory model for deteriorating items. Computers & Industrial Engineering, 20(1), 89-94.
Seth, A., Klabjan, D., & Ferreira, P. M. (2013). Analyses of advanced iterated tour partitioning heuristics for generalized vehicle routing problems. Networks, 61(4), 290-308.
Smith, D., & Sparks, L. (2007). Temperature controlled supply chains. Food Supply Chain Management, 179-198.
Tarantilis, C., & Kiranoudis, C. (2002). Distribution of fresh meat. Journal of Food Engineering, 51(1), 85-91.
Akbari, F., Fazlollahtabar, H., & Mahdavi, I. (2013). An uncertain decision making process considering customers and services in evaluating banks: A case study. International Journal of Strategic Decision Sciences (IJSDS), 4(2), 48-78.
Amorim, P., & Almada-Lobo, B. (2014). The impact of food perishability issues in the vehicle routing problem. Computers & Industrial Engineering, 67, 223-233.
Baldacci, R., & Mingozzi, A. (2009). A unified exact method for solving different classes of vehicle routing problems. Mathematical Programming, 120(2), 347-380.
Carpaneto, G., Dell & apos; Amico, M., Fischetti, M., & Toth, P. (1989). A branch and bound algorithm for the multiple depot vehicle scheduling problem. Networks, 19(5), 531-548.
Chen, H.-K., Hsueh, C.-F., & Chang, M.-S. (2009). Production scheduling and vehicle routing with time windows for perishable food products. Computers & Operations Research, 36(7), 2311-2319.
Contardo, C., & Martinelli, R. (2014). A new exact algorithm for the multi-depot vehicle routing problem under capacity and route length constraints. Discrete Optimization, 12, 129-146.
Dantzig, G. B., & Ramser, J. H. (1959). The truck dispatching problem. Management Science, 6(1), 80-91.
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, 9-28.
Gustavsson, J., Cederberg, C., Sonesson, U., Van Otterdijk, R., & Meybeck, A. (2011). Global food losses and food waste. Food and Agriculture Organization of the United Nations, Rom.
Hsu, C.-I., Hung, S.-F., & Li, H.-C. (2007). Vehicle routing problem with time-windows for perishable food delivery. Journal of Food Engineering, 80(2), 465-475.
Holland, J., (1992). Adaptation in natural and artificial systems: MIT Press, Cambridge, MA.
Khakbaz, H., & Bhattacharjya, J. (2014). Maritime Empty Container Repositioning: A Problem Review. International Journal of Strategic Decision Sciences (IJSDS), 5(1), 1-23.
Kulkarni, R., & Bhave, P. R. (1985). Integer programming formulations of vehicle routing problems. European Journal of Operational Research, 20(1), 58-67.
Laporte, G. (1989). Integer programming formulations for the multi-depot vehicle routing problem: Comments on a paper by Kulkarni and Behave. European Journal of Operational Research, 38(2), 227.
Laporte, G., Nobert, Y., & Arpin, D. (1984). Optimal solutions to capacitated multidepot vehicle routing problems: Ecole des hautes études commerciales.
Laporte, G., Nobert, Y., & Taillefer, S. (1988). Solving a family of multi-depot vehicle routing and location-routing problems. Transportation Science, 22(3), 161-172.
Lawrence, S., & Mohammad, A. (1996). Parametric experimentation with a genetic algorithmic configuration for solving the vehicle routing problem. Paper presented at the Proceedings Annual Meeting of the Decision Sciences Institute, Decis Sci Inst.
Nahmias, S. (1982). Perishable inventory theory: A review. Operations Research, 30(4), 680-708.
Osvald, A., & Stirn, L. Z. (2008). A vehicle routing algorithm for the distribution of fresh vegetables and similar perishable food. Journal of Food Engineering, 85(2), 285-295.
Raafat, F. F., Wolfe, P. M., & Eldin, H. K. (1991). An inventory model for deteriorating items. Computers & Industrial Engineering, 20(1), 89-94.
Seth, A., Klabjan, D., & Ferreira, P. M. (2013). Analyses of advanced iterated tour partitioning heuristics for generalized vehicle routing problems. Networks, 61(4), 290-308.
Smith, D., & Sparks, L. (2007). Temperature controlled supply chains. Food Supply Chain Management, 179-198.
Tarantilis, C., & Kiranoudis, C. (2002). Distribution of fresh meat. Journal of Food Engineering, 51(1), 85-91.