How to cite this paper
Bouziyane, B., Dkhissi, B & Cherkaoui, M. (2020). Multiobjective optimization in delivering pharmaceutical products with disrupted vehicle routing problem.International Journal of Industrial Engineering Computations , 11(2), 299-316.
Refrences
Affi, M., Derbel, H., & Jarboui, B. (2018).Variable neighborhood search algorithm for the green vehicle routing problem. International Journal of Industrial Engineering Computations, 9(2),195-204 .
Beasley, J.E. (1983) . Route-_rst cluster-second methods for vehicle routing. Omega, 11(4),403-408.
Bettinelli, A., Ceselli, A., & Righini, G. (2011). A branch-and-cut-and-price algorithm for the multi-depot heterogeneous vehicle routing problem with time windows. Transportation Research Part C: Emerging Technologies, 19(5), 723-740.
Bouziyane, B., Dkhissi, B., & cherkaoui, M.(2018). Solving a dynamic vehicle routing problem with soft time windows based on static problem resolution by a hybrid approach. International Journal f Supply and Operations Management, 5(2), 134-151.
Bouchra, B., Btissam, D., & Mohammad, C. (2018, April). Multiobjective local search based hybrid algorithm for vehicle routing problem with soft time windows. In International Conference on Big Data, Cloud and Applications(pp. 312-325). Springer, Cham.
Campelo, P., Moreira, F.N., Amorim, P., & Almada-Lobo, B. (2019). Consistent vehicle routing problem with service level agreements: A case study in the pharmaceutical distribution sector. European Journal of Operational Research, 273(1), 131-145.
Chiang, W. C., & Russell, R. A. (2004) . A metaheuristic for the vehicle-routing problem with soft time windows. Journal of the Operational Research Society, 55, 1298–1310.
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.
Desrochers, M., Lenstra, J.K., Savelsbergh, M. W. S., & Soumis, F. (1988). Vehicle Routing with Time Windows: Optimization and Approxinmation, In B. Golden and A. Assad (eds.) Vehicle Routing: Methods and Studies, Amsterdam: Elsevier Science Publishers.
Dhahri, M., Zidi, k., & Ghedira, K. (2015). A Variable neighborhood search for the vehicle routing problem with time windows and preventive maintenance activities. Electronic Notes in Discrete Mathematics, 47, 229-236.
Eglese, R., & Zambirinis, S. (2018). Disruption management in vehicle routing and scheduling for road freight transport: a review. Top, 26(1), 1-17.
Figliozzi, M. A. (2010). An iterative route construction and improvement algorithm for the vehicle routing problem with soft time windows. Transportation Research Part C: Emerging Technologies, 18(5), 668-679.
Fu, Z., Eglese, R., & Li, L. Y. (2008). A unified tabu search algorithm for vehicle routing problems with soft time windows. Journal of the Operational Research Society, 59(5), 663-673.
Geiger, M.J. (2004). Randomized variable neighborhood search for multi objective optimization, 4th EU/ME: Design and Evaluation of Advanced Hybrid Meta-Heuristics, 34-42.
Ghoseiri, K., & Ghannadpour, S. F. (2010). Multi-objective vehicle routing problem with time windows using goal programming and genetic algorithm. Applied Soft Computing, 10(4), 1096-1107.
Golden, B. L., & Assad, A. A. (1986). OR forum—perspectives on vehicle routing: exciting new developments. Operations Research, 34(5), 803-810.
Golden, B. L., & Assad, A. A. (1988). Vehicle Routing: Methods and Studies. Amsterdam: Elsevier Science Publishers .
Hashimoto, H., Ibaraki, T., Imahori, S., & Yagiura, M.( 2006). The vehicle routing problem with flexible time windows and traveling times . Discrete Applied Mathematics, 154, 2271–2290.
Kaiwartya, O., Kumar, S., Lobiyal, D. K., Tiwari, P. K., Abdullah, A. H., & Hassan, A. N. (2015). Multiobjective dynamic vehicle routing problem and time seed based solution using particle swarm optimization. Journal of Sensors, Article ID 189832, 14 pages.
Kovacs, A. A., Parragh, S. N., & Hartl, R. F. (2015). The multi-objective generalized consistent vehicle routing problem. European Journal of Operational Research, 247(2), 441-458.
De Magalhaes, J. M., & De Sousa, J. P. (2006). Dynamic VRP in pharmaceutical distribution—a case study. Central European Journal of Operations Research, 14(2), 177-192.
Minocha, B., & Tripathi, S. (2011). Solution of time constrained vehicle routing problems using multi-objective hybrid genetic algorithm. International Journal of Computer Sciences and Information Technologies, 2, 2671-2676.
Moghadam, B.F., & Seyedhosseini, S.M. (2010).A particle swarm approach to solve vehicle routing problem with uncertain demand:A drug distribution case study. International Journal of industrial Engineering Computations,1(1),55-64.
Mu, Q., Fu, Z., Lysgaard, J., & Eglese, R. (2011) . Disruption management of the vehicle routing problem with vehicle breakdown. Journal of the Opeational Research Society, 62(4),742-749.
Najera , A.G., & Bullinaria, J.A. (2011). An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows. Computers & Operations Research, 38(1), 287-300.
Ombuki, B., Ross, B. J., & Hanshar, F. (2006). Multi-objective genetic algorithms for vehicle routing problem with time windows. Applied Intelligence, 24(1), 17-30.
Qiuyun, W., Wenbao, J., & Gang,Z. (2013). A novel model and algorithm for solving dynamic vehicle routing problem on goods distribution. Journal of Applied Sciences, 13(22), 5410-5415.
Ropke, S., Pisinger, D. (2006). An adaptive large neighborhood search heuristic for the pickuo and delivery problem with time windows. Transportation Sciences, 40(4),455-472.
Salani, M., Battarra, M., & Gambardella, L. M. (2016). Exact algorithms for the vehicle routing problem with soft time windows. In Operations Research Proceedings 2014 (pp. 481-486). Springer, Cham.
Setak, M., Azizi, V., Karimi, H., & Jalili, S. (2017). Pickup and delivery supply chain network with semi soft time windows: metaheuristic approach. International Journal of Management Science and Engineering Management, 12(2), 89-95.
Shaw, P. (1998, October). Using constraint programming and local search methods to solve vehicle routing problems. In International conference on principles and practice of constraint programming (pp. 417-431). Springer, Berlin, Heidelberg.
Kumar, V. S., Thansekhar, M. R., Saravanan, R., & Amali, S. M. J. (2014). Solving multi-objective vehicle routing problem with time windows by FAGA. Procedia Engineering, 97, 2176-2185.
Solomon, M. M., & Desrosiers, J. (1988). Survey paper—time window constrained routing and scheduling problems. Transportation Science, 22(1), 1-13.
Sydneyta, V., & Komarudin, (2017) . Optimization of distribution route and schedule with vehicle routing problem with time windows (VRPTW) . Proceedings of the 2017 International Conference on Industrial Design Engineering, 121-126.
Teodor Dimitrov, B. (2016). A vehicle routing planning system for goods distribution in urban areas using google maps and genetic algorithm. International Journal for Traffic & Transport Engineering, 6(2), pp 159-167.
Tricoire, F. (2012). Multi-directional local search. Computers & Operations Research, 39, 3089–3101.
Wang, J., Zhou, Y., Wang, Y., Zhang, J., Chen, ,C. L. P ., Zheng, Z. (2016). Multiobjective Vehicle Routing Problems With Simultaneous Delivery and pickup and time windows: Formulation, instances, and algorithms. IEEE Transactions on Cybernetics, 46(3),582 – 594.
Yu, B., Yang, Z.Z., & Yao, B.Z.(2011). A hybrid algorithm for vehicle routing problem with time windows. Expert Systems with Applications, 38, 435–441.
Beasley, J.E. (1983) . Route-_rst cluster-second methods for vehicle routing. Omega, 11(4),403-408.
Bettinelli, A., Ceselli, A., & Righini, G. (2011). A branch-and-cut-and-price algorithm for the multi-depot heterogeneous vehicle routing problem with time windows. Transportation Research Part C: Emerging Technologies, 19(5), 723-740.
Bouziyane, B., Dkhissi, B., & cherkaoui, M.(2018). Solving a dynamic vehicle routing problem with soft time windows based on static problem resolution by a hybrid approach. International Journal f Supply and Operations Management, 5(2), 134-151.
Bouchra, B., Btissam, D., & Mohammad, C. (2018, April). Multiobjective local search based hybrid algorithm for vehicle routing problem with soft time windows. In International Conference on Big Data, Cloud and Applications(pp. 312-325). Springer, Cham.
Campelo, P., Moreira, F.N., Amorim, P., & Almada-Lobo, B. (2019). Consistent vehicle routing problem with service level agreements: A case study in the pharmaceutical distribution sector. European Journal of Operational Research, 273(1), 131-145.
Chiang, W. C., & Russell, R. A. (2004) . A metaheuristic for the vehicle-routing problem with soft time windows. Journal of the Operational Research Society, 55, 1298–1310.
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.
Desrochers, M., Lenstra, J.K., Savelsbergh, M. W. S., & Soumis, F. (1988). Vehicle Routing with Time Windows: Optimization and Approxinmation, In B. Golden and A. Assad (eds.) Vehicle Routing: Methods and Studies, Amsterdam: Elsevier Science Publishers.
Dhahri, M., Zidi, k., & Ghedira, K. (2015). A Variable neighborhood search for the vehicle routing problem with time windows and preventive maintenance activities. Electronic Notes in Discrete Mathematics, 47, 229-236.
Eglese, R., & Zambirinis, S. (2018). Disruption management in vehicle routing and scheduling for road freight transport: a review. Top, 26(1), 1-17.
Figliozzi, M. A. (2010). An iterative route construction and improvement algorithm for the vehicle routing problem with soft time windows. Transportation Research Part C: Emerging Technologies, 18(5), 668-679.
Fu, Z., Eglese, R., & Li, L. Y. (2008). A unified tabu search algorithm for vehicle routing problems with soft time windows. Journal of the Operational Research Society, 59(5), 663-673.
Geiger, M.J. (2004). Randomized variable neighborhood search for multi objective optimization, 4th EU/ME: Design and Evaluation of Advanced Hybrid Meta-Heuristics, 34-42.
Ghoseiri, K., & Ghannadpour, S. F. (2010). Multi-objective vehicle routing problem with time windows using goal programming and genetic algorithm. Applied Soft Computing, 10(4), 1096-1107.
Golden, B. L., & Assad, A. A. (1986). OR forum—perspectives on vehicle routing: exciting new developments. Operations Research, 34(5), 803-810.
Golden, B. L., & Assad, A. A. (1988). Vehicle Routing: Methods and Studies. Amsterdam: Elsevier Science Publishers .
Hashimoto, H., Ibaraki, T., Imahori, S., & Yagiura, M.( 2006). The vehicle routing problem with flexible time windows and traveling times . Discrete Applied Mathematics, 154, 2271–2290.
Kaiwartya, O., Kumar, S., Lobiyal, D. K., Tiwari, P. K., Abdullah, A. H., & Hassan, A. N. (2015). Multiobjective dynamic vehicle routing problem and time seed based solution using particle swarm optimization. Journal of Sensors, Article ID 189832, 14 pages.
Kovacs, A. A., Parragh, S. N., & Hartl, R. F. (2015). The multi-objective generalized consistent vehicle routing problem. European Journal of Operational Research, 247(2), 441-458.
De Magalhaes, J. M., & De Sousa, J. P. (2006). Dynamic VRP in pharmaceutical distribution—a case study. Central European Journal of Operations Research, 14(2), 177-192.
Minocha, B., & Tripathi, S. (2011). Solution of time constrained vehicle routing problems using multi-objective hybrid genetic algorithm. International Journal of Computer Sciences and Information Technologies, 2, 2671-2676.
Moghadam, B.F., & Seyedhosseini, S.M. (2010).A particle swarm approach to solve vehicle routing problem with uncertain demand:A drug distribution case study. International Journal of industrial Engineering Computations,1(1),55-64.
Mu, Q., Fu, Z., Lysgaard, J., & Eglese, R. (2011) . Disruption management of the vehicle routing problem with vehicle breakdown. Journal of the Opeational Research Society, 62(4),742-749.
Najera , A.G., & Bullinaria, J.A. (2011). An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows. Computers & Operations Research, 38(1), 287-300.
Ombuki, B., Ross, B. J., & Hanshar, F. (2006). Multi-objective genetic algorithms for vehicle routing problem with time windows. Applied Intelligence, 24(1), 17-30.
Qiuyun, W., Wenbao, J., & Gang,Z. (2013). A novel model and algorithm for solving dynamic vehicle routing problem on goods distribution. Journal of Applied Sciences, 13(22), 5410-5415.
Ropke, S., Pisinger, D. (2006). An adaptive large neighborhood search heuristic for the pickuo and delivery problem with time windows. Transportation Sciences, 40(4),455-472.
Salani, M., Battarra, M., & Gambardella, L. M. (2016). Exact algorithms for the vehicle routing problem with soft time windows. In Operations Research Proceedings 2014 (pp. 481-486). Springer, Cham.
Setak, M., Azizi, V., Karimi, H., & Jalili, S. (2017). Pickup and delivery supply chain network with semi soft time windows: metaheuristic approach. International Journal of Management Science and Engineering Management, 12(2), 89-95.
Shaw, P. (1998, October). Using constraint programming and local search methods to solve vehicle routing problems. In International conference on principles and practice of constraint programming (pp. 417-431). Springer, Berlin, Heidelberg.
Kumar, V. S., Thansekhar, M. R., Saravanan, R., & Amali, S. M. J. (2014). Solving multi-objective vehicle routing problem with time windows by FAGA. Procedia Engineering, 97, 2176-2185.
Solomon, M. M., & Desrosiers, J. (1988). Survey paper—time window constrained routing and scheduling problems. Transportation Science, 22(1), 1-13.
Sydneyta, V., & Komarudin, (2017) . Optimization of distribution route and schedule with vehicle routing problem with time windows (VRPTW) . Proceedings of the 2017 International Conference on Industrial Design Engineering, 121-126.
Teodor Dimitrov, B. (2016). A vehicle routing planning system for goods distribution in urban areas using google maps and genetic algorithm. International Journal for Traffic & Transport Engineering, 6(2), pp 159-167.
Tricoire, F. (2012). Multi-directional local search. Computers & Operations Research, 39, 3089–3101.
Wang, J., Zhou, Y., Wang, Y., Zhang, J., Chen, ,C. L. P ., Zheng, Z. (2016). Multiobjective Vehicle Routing Problems With Simultaneous Delivery and pickup and time windows: Formulation, instances, and algorithms. IEEE Transactions on Cybernetics, 46(3),582 – 594.
Yu, B., Yang, Z.Z., & Yao, B.Z.(2011). A hybrid algorithm for vehicle routing problem with time windows. Expert Systems with Applications, 38, 435–441.