[1] Adulyasak, Y., Cordeau, J.-F. & Jans, R. (2012) “Optimization-based adaptive large neighborhood search for the production routing problem“, Transportation science, Vol. 48(1), pp. 20-45.
[2] Chandra, P. (1993) “A dynamic distribution model with warehouse and customer replenishment requirements“, Journal of the Operational Research Society, Vol. 44(7), pp. 681-692.
[3] Chandra, P. & Fisher, M. L. (1994) “Coordination of production and distribution planning“, European Journal of Operational Research, Vol. 72(3), pp. 503-517.
[4] Fumero, F. & Vercellis, C. (1999) “Synchronized development of production, inventory, and distribution schedules“, Transportation science, Vol. 33(3), pp. 330-340.
[5] Boudia, M., Louly, M. A. O. & Prins, C. (2008) “Fast heuristics for a combined production planning and vehicle routing problem“, Production Planning and Control, Vol. 19(2), pp. 85-96.
[6] Ruokokoski, M., Solyali, O., Cordeau, J.-F., Jans, R. & Süral, H. (2010) “Efficient formulations and a branch-and-cut algorithm for a production-routing problem“, GERAD Technical Report G-2010-66, Vol., pp.
[7] Archetti, C., Bertazzi, L., Paletta, G. & Speranza, M. G. (2011) “Analysis of the maximum level policy in a production-distribution system“, Computers & Operations Research, Vol. 38(12), pp. 1731-1746.
[8] Absi, N., Archetti, C., Dauzère-Pérès, S. & Feillet, D. (2014) “A two-phase iterative heuristic approach for the production routing problem“, Transportation science, Vol. 49(4), pp. 784-795.
[9] Adulyasak, Y., Cordeau, J.-F. & Jans, R. (2015b) “The production routing problem: A review of formulations and solution algorithms“, Computers & Operations Research, Vol. 55, pp. 141-152.
[10] Díaz-Madroñero, M., Peidro, D. & Mula, J. (2015a). Integrated production and routing planning decisions under uncertainty: a case study. Paper presented at the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15).
[11] Adulyasak, Y., Cordeau, J.-F. & Jans, R. (2015a) “Benders decomposition for production routing under demand uncertainty“, Operations Research, Vol. 63(4), pp. 851-867.
[12] Díaz-Madroñero, M., Peidro, D. & Mula, J. (2015b) “A review of tactical optimization models for integrated production and transport routing planning decisions“, Computers & Industrial Engineering, Vol. 88, pp. 518-535.
[13] Kumar, R. S., Kondapaneni, K., Dixit, V., Goswami, A., Thakur, L. S. & Tiwari, M. (2016) “Multi-objective modeling of production and pollution routing problem with time window: A self-learning particle swarm optimization approach“, Computers & Industrial Engineering, Vol. 99, pp. 29-40.
[14] Belo-Filho, M., Amorim, P. & Almada-Lobo, B. (2015) “An adaptive large neighbourhood search for the operational integrated production and distribution problem of perishable products“, International Journal of Production Research, Vol. 53(20), pp. 6040-6058.
[15] Hein, F. & Almeder, C. (2016) “Quantitative insights into the integrated supply vehicle routing and production planning problem“, International Journal of Production Economics, Vol. 177, pp. 66-76.
[16] Brahimi, N. & Aouam, T. (2016) “Multi-item production routing problem with backordering: a MILP approach“, International Journal of Production Research, Vol. 54(4), pp. 1076-1093.
[17] Rahimi, M., Baboli, A. & Rekik, Y. (2017). Inventory routing problem for perishable products by considering customer satisfaction and green criteria. In Dynamics in Logistics (pp. 445-455): Springer.
[18] Solyalı, O. & Süral, H. (2017) “A multi-phase heuristic for the production routing problem“, Computers & Operations Research, Vol. 87, pp. 114-124.
[19] Qiu, Y., Ni, M., Wang, L., Li, Q., Fang, X. & Pardalos, P. M. (2018) “Production routing problems with reverse logistics and remanufacturing“, Transportation Research Part E: Logistics and Transportation Review, Vol. 111, pp. 87-100.
[20] Qiu, Y., Wang, L., Xu, X., Fang, X. & Pardalos, P. M. (2018a) “Formulations and branch-and-cut algorithms for multi-product multi-vehicle production routing problems with startup cost“, Expert Systems with Applications, Vol. 98, pp. 1-10.
[21] Qiu, Y., Wang, L., Xu, X., Fang, X. & Pardalos, P. M. (2018b) “A variable neighborhood search heuristic algorithm for production routing problems“, Applied Soft Computing, Vol. 66, pp. 311-318.
[22] Neves-Moreira, F., Almada-Lobo, B., Cordeau, J.-F., Guimarães, L. & Jans, R. (2019) “Solving a large multi-product production-routing problem with delivery time windows“, Omega, Vol. 86, pp. 154-172.
[23] Avci, M. & Yildiz, S. T. (2019) “A matheuristic solution approach for the production routing problem with visit spacing policy“, European Journal of Operational Research, Vol., pp.
[24] Shuang, Y., Diabat, A. & Liao, Y. (2019) “A stochastic reverse logistics production routing model with emissions control policy selection“, International Journal of Production Economics, Vol. 213, pp. 201-216.
[25] Li, Y., Chu, F., Chu, C. & Zhu, Z. (2019) “An efficient three-level heuristic for the large-scaled multi-product production routing problem with outsourcing“, European Journal of Operational Research, Vol. 272(3), pp. 914-927.
[26] Bula, G. A. Prodhon, C. Gonzalez, F. A. Afsar, H. M. & Velasco, N. (2017) “Variable neighborhood search to solve the vehicle routing problem for hazardous materials transportation “,Journal of hazardous materials, vol. 324, pp. 472-480.
[27] Bula, G. A. Afsar, H. M. González, F. A. Prodhon, C. & Velasco, N. (2019) “Bi-objective vehicle routing problem for hazardous materials transportation “,Journal of cleaner production, vol. 206, pp. 976-986, 2019.
[28] Behnamian, J & Adabi, F. (2018) "Competitive Production Routing Problem: Modeling, Solving and Valid Inequalities". Modern Research in Decision Making, 3(2), 55-79.
[29] Timajchi, A. Al-e-Hashem, S. M. M. & Rekik, Y. (2019) “Inventory routing problem for hazardous and deteriorating items in the presence of accident risk with transshipment option “, International Journal of Production Economics, 209, 302-315.
[30] Bodin, L. and Golden, B. (1981) “Classification in vehicle routing and scheduling“, Networks, Vol. 11(2), pp. 97-108.
[31] Bérubé, J. F., Gendreau, M., & Potvin, J. Y. (2009) "An exact ϵ-constraint met hod for bi-objective combinatorial optimization problems: Application to the Traveling Salesman Problem with Profits", European journal of operational research, 194(1), 39-50.
[32] Sabouhi, F., Bozorgi-Amiri, A. (2019). A bi-objective mathematical model for emergency evacuation considering heterogeneous fleet of vehicles. Modern Research in Decision Making, 4(1), 119-137.
[33] Taghavifard, S. M. T. Dehghani, M. H. & Aghaei, M. (2015) “The Model for Lot Sizing Problem with Supplier Selection and Solving by NSGA-II (Case Study: Morvarid Panberiz Company)”, Management Research in Iran, 19(2): 65-89.
[34] Maghsoud, A. Mahdi, A. & Nezhadi Mostafa, H. (2014) “Application of multi-level, multi-objective mathematical model to determine the optimal level of effective quality factors in plastic injection quality and using fuzzy dual response surface methodology (Case Study: Movable arm rest Teflon Bush for bus seat)”, Management Research in Iran, 18 (2); 1 -23.
[35] Moura A. (2008) A Multi-Objective Genetic Algorithm for the Vehicle Routing with Time Windows and Loading Problem. In: Bortfeldt A., Homberger J., Kopfer H., Pankratz G., Strangmeier R. (eds) Intelligent Decision Support. Gabler