How to cite this paper
Rabbani, M., Bosjin, S., Yazdanparast, R & Saravi, N. (2018). A stochastic time-dependent green capacitated vehicle routing and scheduling problem with time window, resiliency and reliability: a case study.Decision Science Letters , 7(4), 381-394.
Refrences
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Ando, N., & Taniguchi, E. (2006). Travel time reliability in vehicle routing and scheduling with time windows. Networks and Spatial Economics, 6(3), 293-311.
Azadeh, A., Elahi, S., Farahani, M. H., & Nasirian, B. (2017). A genetic algorithm-Taguchi based approach to inventory routing problem of a single perishable product with transshipment. Computers & Industrial Engineering, 104, 124-133.
Azadeh, A, Habibnejad-Ledari, H, Abdolhossein Zadeh, S, & Hosseinabadi Farahani, M. (2016b). A single-machine scheduling problem with learning effect, deterioration and non-monotonic time-dependent processing times. International Journal of Computer Integrated Manufacturing, 1-13.
Azadeh, A., Yazdanparast, R., Zadeh, S. A., & Zadeh, A. E. (2017). Performance optimization of integrated resilience engineering and lean production principles. Expert Systems with Applications, 84, 155-170.
Bahri, Oumayma, Amor, Nahla Ben, & Talbi, El-Ghazali. (2016). Robust routes for the fuzzy multi-objective vehicle routing problem. IFAC-PapersOnLine, 49(12), 769-774.
Çimen, M., & Soysal, M. (2017). Time-dependent green vehicle routing problem with stochastic vehicle speeds: An approximate dynamic programming algorithm. Transportation Research Part D: Transport and Environment, 54, 82-98.
Coelho, L. C., & Laporte, G. (2013). A branch-and-cut algorithm for the multi-product multi-vehicle inventory-routing problem. International Journal of Production Research, 51(23-24), 7156-7169.
Cordeau, J. F., Ghiani, G., & Guerriero, E. (2012). Analysis and branch-and-cut algorithm for the time-dependent travelling salesman problem. Transportation Science, 48(1), 46-58.
Dabia, S., Ropke, S., Van Woensel, T., & De Kok, T. (2013). Branch and price for the time-dependent vehicle routing problem with time windows. Transportation science, 47(3), 380-396.
Duan, Z., Sun, S., Sun, S., & Li, W. (2015). Stochastic time-dependent vehicle routing problem: Mathematical models and ant colony algorithm. Advances in Mechanical Engineering, 7(11), 1687814015618631.
Franceschetti, A., Demir, E., Honhon, D., Van Woensel, T., Laporte, G., & Stobbe, M. (2017). A metaheuristic for the time-dependent pollution-routing problem. European Journal of Operational Research, 259(3), 972-991.
Franceschetti, A., Honhon, D., Van Woensel, T., Bektaş, T., & Laporte, G. (2013). The time-dependent pollution-routing problem. Transportation Research Part B: Methodological, 56, 265-293.
Gannouni, A., Ellaia, R., & Talbi, El-G. (2017). Solving stochastic multiobjective vehicle routing problem using probabilistic metaheuristic. Paper presented at the MATEC Web of Conferences.
Gendreau, M., Ghiani, G., & Guerriero, E. (2015). Time-dependent routing problems: A review. Computers & operations research, 64, 189-197.
Goksal, F. P., Karaoglan, I., & Altiparmak, F. (2013). A hybrid discrete particle swarm optimization for vehicle routing problem with simultaneous pickup and delivery. Computers & Industrial Engineering, 65(1), 39-53.
Groër, C., Golden, B., & Wasil, E. (2009). The consistent vehicle routing problem. Manufacturing & service operations management, 11(4), 630-643.
Heidari, R., Tavakkoli-Moghaddam, R., Yazdanparast, R., & Aliabadi, L. (2017). A fuzzy data envelopment analysis for the supply chain resilience assessment: An Iranian car manufacturer. Recent Applications of Data Envelopment Analysis, 978(1), 122.
Ichoua, S., Gendreau, M., & Potvin, J. Y. (2003). Vehicle dispatching with time-dependent travel times. European journal of operational research, 144(2), 379-396.
Koç, Ç., & Karaoglan, I. (2016). The green vehicle routing problem: A heuristic based exact solution approach. Applied Soft Computing, 39, 154-164.
Kuo, Y., & Wang, C. C. (2012). A variable neighborhood search for the multi-depot vehicle routing problem with loading cost. Expert Systems with Applications, 39(8), 6949-6954.
Lecluyse, C., Van Woensel, T., & Peremans, H. (2009). Vehicle routing with stochastic time-dependent travel times. 4OR, 7(4), 363.
Lenstra, J. K., & Kan, A. H. G. (1981). Complexity of vehicle routing and scheduling problems. Networks, 11(2), 221-227.
Lin, C., Choy, K. L., Ho, G. T., Chung, S. H., & Lam, H. Y. (2014). Survey of green vehicle routing problem: past and future trends. Expert Systems with Applications, 41(4), 1118-1138.
Malandraki, C. (1989). Time dependent vehicle routing problems: Formulations, solution algorithms and computational experiments.
Nguyen, V. A., Jiang, J., Ng, K. M., & Teo, K. M. (2016). Satisficing measure approach for vehicle routing problem with time windows under uncertainty. European Journal of Operational Research, 248(2), 404-414.
Norouzi, N., Sadegh-Amalnick, M., & Tavakkoli-Moghaddam, R. (2015). A time-dependent vehicle routing problem solved by improved simulated annealing. Proceedings of the Romanian Academy Series A-Mathematics Physics Technical Sciences Information Science, 16(3), 458-465.
Rancourt, M. E., Cordeau, J. F., & Laporte, G. (2013). Long-haul vehicle routing and scheduling with working hour rules. Transportation Science, 47(1), 81-107.
Sahinidis, N. V. (2004). Optimization under uncertainty: state-of-the-art and opportunities. Computers & Chemical Engineering, 28(6), 971-983.
Sarasola, B., Doerner, K. F., Schmid, V., & Alba, E. (2016). Variable neighborhood search for the stochastic and dynamic vehicle routing problem. Annals of Operations Research, 236(2), 425-461.
Spliet, R., Dabia, S., & van Woensel, T. (2017). The Time Window Assignment Vehicle Routing Problem with Time-Dependent Travel Times. Transportation Science.
Spliet, R., & Desaulniers, G. (2015). The discrete time window assignment vehicle routing problem. European Journal of Operational Research, 244(2), 379-391.
Spliet, R., & Gabor, A. F. (2014). The time window assignment vehicle routing problem. Transportation Science, 49(4), 721-731.
Sun, S., Duan, Z., & Yang, D. (2015). Urban freight management with stochastic time-dependent travel times and application to large-scale transportation networks. Discrete Dynamics in Nature and Society, 2015.
Taş, D., Dellaert, N., van Woensel, T., & de Kok, T. (2014). The time-dependent vehicle routing problem with soft time windows and stochastic travel times. Transportation Research Part C: Emerging Technologies, 48, 66-83.
Torabi, S. A., & Hassini, E. (2008). An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy sets and systems, 159(2), 193-214.
Van Woensel, T., Kerbache, L., Peremans, H., & Vandaele, N. (2008). Vehicle routing with dynamic travel times: A queueing approach. European journal of operational research, 186(3), 990-1007.
Woods, D. D., Leveson, N., & Hollnagel, E. (2012) . Resilience engineering: concepts and precepts: Ashgate Publishing, Ltd.
Zhalechian, M., Tavakkoli-Moghaddam, R., & Rahimi, Y. (2017). A self-adaptive evolutionary algorithm for a fuzzy multi-objective hub location problem: An integration of responsiveness and social responsibility. Engineering Applications of Artificial Intelligence, 62, 1-16.
Zhang, J., Lam, W. H., & Chen, B. Y. (2016). On-time delivery probabilistic models for the vehicle routing problem with stochastic demands and time windows. European Journal of Operational Research, 249(1), 144-154.
Ando, N., & Taniguchi, E. (2006). Travel time reliability in vehicle routing and scheduling with time windows. Networks and Spatial Economics, 6(3), 293-311.
Azadeh, A., Elahi, S., Farahani, M. H., & Nasirian, B. (2017). A genetic algorithm-Taguchi based approach to inventory routing problem of a single perishable product with transshipment. Computers & Industrial Engineering, 104, 124-133.
Azadeh, A, Habibnejad-Ledari, H, Abdolhossein Zadeh, S, & Hosseinabadi Farahani, M. (2016b). A single-machine scheduling problem with learning effect, deterioration and non-monotonic time-dependent processing times. International Journal of Computer Integrated Manufacturing, 1-13.
Azadeh, A., Yazdanparast, R., Zadeh, S. A., & Zadeh, A. E. (2017). Performance optimization of integrated resilience engineering and lean production principles. Expert Systems with Applications, 84, 155-170.
Bahri, Oumayma, Amor, Nahla Ben, & Talbi, El-Ghazali. (2016). Robust routes for the fuzzy multi-objective vehicle routing problem. IFAC-PapersOnLine, 49(12), 769-774.
Çimen, M., & Soysal, M. (2017). Time-dependent green vehicle routing problem with stochastic vehicle speeds: An approximate dynamic programming algorithm. Transportation Research Part D: Transport and Environment, 54, 82-98.
Coelho, L. C., & Laporte, G. (2013). A branch-and-cut algorithm for the multi-product multi-vehicle inventory-routing problem. International Journal of Production Research, 51(23-24), 7156-7169.
Cordeau, J. F., Ghiani, G., & Guerriero, E. (2012). Analysis and branch-and-cut algorithm for the time-dependent travelling salesman problem. Transportation Science, 48(1), 46-58.
Dabia, S., Ropke, S., Van Woensel, T., & De Kok, T. (2013). Branch and price for the time-dependent vehicle routing problem with time windows. Transportation science, 47(3), 380-396.
Duan, Z., Sun, S., Sun, S., & Li, W. (2015). Stochastic time-dependent vehicle routing problem: Mathematical models and ant colony algorithm. Advances in Mechanical Engineering, 7(11), 1687814015618631.
Franceschetti, A., Demir, E., Honhon, D., Van Woensel, T., Laporte, G., & Stobbe, M. (2017). A metaheuristic for the time-dependent pollution-routing problem. European Journal of Operational Research, 259(3), 972-991.
Franceschetti, A., Honhon, D., Van Woensel, T., Bektaş, T., & Laporte, G. (2013). The time-dependent pollution-routing problem. Transportation Research Part B: Methodological, 56, 265-293.
Gannouni, A., Ellaia, R., & Talbi, El-G. (2017). Solving stochastic multiobjective vehicle routing problem using probabilistic metaheuristic. Paper presented at the MATEC Web of Conferences.
Gendreau, M., Ghiani, G., & Guerriero, E. (2015). Time-dependent routing problems: A review. Computers & operations research, 64, 189-197.
Goksal, F. P., Karaoglan, I., & Altiparmak, F. (2013). A hybrid discrete particle swarm optimization for vehicle routing problem with simultaneous pickup and delivery. Computers & Industrial Engineering, 65(1), 39-53.
Groër, C., Golden, B., & Wasil, E. (2009). The consistent vehicle routing problem. Manufacturing & service operations management, 11(4), 630-643.
Heidari, R., Tavakkoli-Moghaddam, R., Yazdanparast, R., & Aliabadi, L. (2017). A fuzzy data envelopment analysis for the supply chain resilience assessment: An Iranian car manufacturer. Recent Applications of Data Envelopment Analysis, 978(1), 122.
Ichoua, S., Gendreau, M., & Potvin, J. Y. (2003). Vehicle dispatching with time-dependent travel times. European journal of operational research, 144(2), 379-396.
Koç, Ç., & Karaoglan, I. (2016). The green vehicle routing problem: A heuristic based exact solution approach. Applied Soft Computing, 39, 154-164.
Kuo, Y., & Wang, C. C. (2012). A variable neighborhood search for the multi-depot vehicle routing problem with loading cost. Expert Systems with Applications, 39(8), 6949-6954.
Lecluyse, C., Van Woensel, T., & Peremans, H. (2009). Vehicle routing with stochastic time-dependent travel times. 4OR, 7(4), 363.
Lenstra, J. K., & Kan, A. H. G. (1981). Complexity of vehicle routing and scheduling problems. Networks, 11(2), 221-227.
Lin, C., Choy, K. L., Ho, G. T., Chung, S. H., & Lam, H. Y. (2014). Survey of green vehicle routing problem: past and future trends. Expert Systems with Applications, 41(4), 1118-1138.
Malandraki, C. (1989). Time dependent vehicle routing problems: Formulations, solution algorithms and computational experiments.
Nguyen, V. A., Jiang, J., Ng, K. M., & Teo, K. M. (2016). Satisficing measure approach for vehicle routing problem with time windows under uncertainty. European Journal of Operational Research, 248(2), 404-414.
Norouzi, N., Sadegh-Amalnick, M., & Tavakkoli-Moghaddam, R. (2015). A time-dependent vehicle routing problem solved by improved simulated annealing. Proceedings of the Romanian Academy Series A-Mathematics Physics Technical Sciences Information Science, 16(3), 458-465.
Rancourt, M. E., Cordeau, J. F., & Laporte, G. (2013). Long-haul vehicle routing and scheduling with working hour rules. Transportation Science, 47(1), 81-107.
Sahinidis, N. V. (2004). Optimization under uncertainty: state-of-the-art and opportunities. Computers & Chemical Engineering, 28(6), 971-983.
Sarasola, B., Doerner, K. F., Schmid, V., & Alba, E. (2016). Variable neighborhood search for the stochastic and dynamic vehicle routing problem. Annals of Operations Research, 236(2), 425-461.
Spliet, R., Dabia, S., & van Woensel, T. (2017). The Time Window Assignment Vehicle Routing Problem with Time-Dependent Travel Times. Transportation Science.
Spliet, R., & Desaulniers, G. (2015). The discrete time window assignment vehicle routing problem. European Journal of Operational Research, 244(2), 379-391.
Spliet, R., & Gabor, A. F. (2014). The time window assignment vehicle routing problem. Transportation Science, 49(4), 721-731.
Sun, S., Duan, Z., & Yang, D. (2015). Urban freight management with stochastic time-dependent travel times and application to large-scale transportation networks. Discrete Dynamics in Nature and Society, 2015.
Taş, D., Dellaert, N., van Woensel, T., & de Kok, T. (2014). The time-dependent vehicle routing problem with soft time windows and stochastic travel times. Transportation Research Part C: Emerging Technologies, 48, 66-83.
Torabi, S. A., & Hassini, E. (2008). An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy sets and systems, 159(2), 193-214.
Van Woensel, T., Kerbache, L., Peremans, H., & Vandaele, N. (2008). Vehicle routing with dynamic travel times: A queueing approach. European journal of operational research, 186(3), 990-1007.
Woods, D. D., Leveson, N., & Hollnagel, E. (2012) . Resilience engineering: concepts and precepts: Ashgate Publishing, Ltd.
Zhalechian, M., Tavakkoli-Moghaddam, R., & Rahimi, Y. (2017). A self-adaptive evolutionary algorithm for a fuzzy multi-objective hub location problem: An integration of responsiveness and social responsibility. Engineering Applications of Artificial Intelligence, 62, 1-16.
Zhang, J., Lam, W. H., & Chen, B. Y. (2016). On-time delivery probabilistic models for the vehicle routing problem with stochastic demands and time windows. European Journal of Operational Research, 249(1), 144-154.