How to cite this paper
Morales, F., Franco, C & Méndez-Giraldo, G. (2018). Dynamic inventory routing problem: Policies considering network disruptions.International Journal of Industrial Engineering Computations , 9(4), 523-534.
Refrences
Ahmadi-Javid, A., & Seddighi, A. H. (2013). A location-routing problem with disruption risk. Transportation Research Part E: Logistics and Transportation Review, 53, 63–82. https://doi.org/10.1016/j.tre.2013.02.002
Archetti, C., Bertazzi, L., Laporte, G., & Speranza, M. G. (2007). A Branch-and-Cut Algorithm for a Vendor-Managed Inventory-Routing Problem. Transportation Science, 41(3), 382–391.
Asl-Najafi, J., Zahiri, B., Bozorgi-Amiri, A., & Taheri-Moghaddam, A. (2015). A dynamic closed-loop location-inventory problem under disruption risk. Computers & Industrial Engineering, 90, 414–428.
Azadeh, A., Elahi, S., Hosseinabadi Farahani, M., & 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.
Coelho, L. C., Cordeau, J.-F., & Laporte, G. (2012). Consistency in multi-vehicle inventory-routing. Transportation Research Part C: Emerging Technologies, 24, 270–287.
Coelho, L. C., & Laporte, G. (2013). The exact solution of several classes of inventory-routing problems. Computers and Operations Research, 40(2), 558–565. https://doi.org/10.1016/j.cor.2012.08.012
Federgruen, A., & Zipkin, P. (1984). A Combined Vehicle Routing and Inventory Allocation Problem. Operations Research, 32(5), 1019–1037.
Franco, C., & Figueroa-García, J. C. (2016). A column generation-based algorithm for solving combined inventory and routing problems. Ingeniare, 24(2), 305–313.
Ng, K.K.H., Lee, C.K.M., Zhang, S.Z., Wu, K., & Ho, W. (2017). A multiple colonies artificial bee colony algorithm for a capacitated vehicle routing problem and re-routing strategies under time-dependent traffic congestion. Computers & Industrial Engineering, 109, 151–168.
Kaligari, E., & Guerrero, W. (2015). Métodos de optimización para el problema de ruteo de vehículos con inventarios y ventanas de tiempo duras. Revista Ingeniería Industrial, 14(3), 31–49.
Li, J.-Q., Borenstein, D., & Mirchandani, P. B. (2007). A decision support system for the single-depot vehicle rescheduling problem. Computers & Operations Research, 34(4), 1008–1032.
Mohammadi, M., Tavakkoli-Moghaddam, R., Siadat, A., & Dantan, J.-Y. (2016). Design of a reliable logistics network with hub disruption under uncertainty. Applied Mathematical Modelling, 40(9–10), 5621–5642.
Mu, Q., Fu, Z., Lysgaard, J., & Eglese, R. (2011). Disruption management of the vehicle routing problem with vehicle breakdown. Journal of the Operational Research Society, 62(62), 742–749.
Psaraftis, H. (1988). Vehicle Routing: Methods and Studies. In Dynamic Vehicle Routing Problems. B.V: North Holland.: Elsevier Science Publishers.
Rahimi, Y., Tavakkoli-Moghaddam, R., Mohammadi, M., & Sadeghi, M. (2016). Multi-objective hub network design under uncertainty considering congestion: An M/M/c/K queue system. Applied Mathematical Modelling, 40(5–6), 4179–4198.
Rayat, F., Musavi, M., & Bozorgi-Amiri, A. (2017). Bi-objective reliable location-inventory-routing problem with partial backordering under disruption risks: A modified AMOSA approach. Applied Soft Computing, 59, 622–643.
Sever, D., Dellaert, N., Van Woensel, T., & De Kok, T. (2013). Dynamic shortest path problems: Hybrid routing policies considering network disruptions. Computers and Operations Research, 40(12), 2852–2863.
Teodorovic, D., & Guberinic, S. (1984). Optimal dispatching strategy on an airline network after a schedule perturbation. European Journal of Operational Research, 15(2), 178–182.
Wang, X., Ruan, J., Shang, H., & Ma, C. (2011). A Combinational Disruption Recovery Model for Vehicle Routing Problem with Time Windows. In Intelligent Decision Technologies (Vol. 10, pp. 3–12).
Xiangpei, H., & Lijun, S. (2012). Knowledge-based modeling for disruption management in urban distribution. Expert Systems with Applications, 39, 906–916.
Zhang, Y., Qi, M.-Y., Lin, W.-H., & Miao, L.-X. (2015). A metaheuristic approach to the reliable location routing problem under disruptions. Transportation Research Part E, 83, 90–110.
Yu, G., & Qi, X. (2004). Disruption Management. World Scientific. https://doi.org/10.1142/5632
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: Logistics and Transportation Review, 89, 182–214.
Archetti, C., Bertazzi, L., Laporte, G., & Speranza, M. G. (2007). A Branch-and-Cut Algorithm for a Vendor-Managed Inventory-Routing Problem. Transportation Science, 41(3), 382–391.
Asl-Najafi, J., Zahiri, B., Bozorgi-Amiri, A., & Taheri-Moghaddam, A. (2015). A dynamic closed-loop location-inventory problem under disruption risk. Computers & Industrial Engineering, 90, 414–428.
Azadeh, A., Elahi, S., Hosseinabadi Farahani, M., & 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.
Coelho, L. C., Cordeau, J.-F., & Laporte, G. (2012). Consistency in multi-vehicle inventory-routing. Transportation Research Part C: Emerging Technologies, 24, 270–287.
Coelho, L. C., & Laporte, G. (2013). The exact solution of several classes of inventory-routing problems. Computers and Operations Research, 40(2), 558–565. https://doi.org/10.1016/j.cor.2012.08.012
Federgruen, A., & Zipkin, P. (1984). A Combined Vehicle Routing and Inventory Allocation Problem. Operations Research, 32(5), 1019–1037.
Franco, C., & Figueroa-García, J. C. (2016). A column generation-based algorithm for solving combined inventory and routing problems. Ingeniare, 24(2), 305–313.
Ng, K.K.H., Lee, C.K.M., Zhang, S.Z., Wu, K., & Ho, W. (2017). A multiple colonies artificial bee colony algorithm for a capacitated vehicle routing problem and re-routing strategies under time-dependent traffic congestion. Computers & Industrial Engineering, 109, 151–168.
Kaligari, E., & Guerrero, W. (2015). Métodos de optimización para el problema de ruteo de vehículos con inventarios y ventanas de tiempo duras. Revista Ingeniería Industrial, 14(3), 31–49.
Li, J.-Q., Borenstein, D., & Mirchandani, P. B. (2007). A decision support system for the single-depot vehicle rescheduling problem. Computers & Operations Research, 34(4), 1008–1032.
Mohammadi, M., Tavakkoli-Moghaddam, R., Siadat, A., & Dantan, J.-Y. (2016). Design of a reliable logistics network with hub disruption under uncertainty. Applied Mathematical Modelling, 40(9–10), 5621–5642.
Mu, Q., Fu, Z., Lysgaard, J., & Eglese, R. (2011). Disruption management of the vehicle routing problem with vehicle breakdown. Journal of the Operational Research Society, 62(62), 742–749.
Psaraftis, H. (1988). Vehicle Routing: Methods and Studies. In Dynamic Vehicle Routing Problems. B.V: North Holland.: Elsevier Science Publishers.
Rahimi, Y., Tavakkoli-Moghaddam, R., Mohammadi, M., & Sadeghi, M. (2016). Multi-objective hub network design under uncertainty considering congestion: An M/M/c/K queue system. Applied Mathematical Modelling, 40(5–6), 4179–4198.
Rayat, F., Musavi, M., & Bozorgi-Amiri, A. (2017). Bi-objective reliable location-inventory-routing problem with partial backordering under disruption risks: A modified AMOSA approach. Applied Soft Computing, 59, 622–643.
Sever, D., Dellaert, N., Van Woensel, T., & De Kok, T. (2013). Dynamic shortest path problems: Hybrid routing policies considering network disruptions. Computers and Operations Research, 40(12), 2852–2863.
Teodorovic, D., & Guberinic, S. (1984). Optimal dispatching strategy on an airline network after a schedule perturbation. European Journal of Operational Research, 15(2), 178–182.
Wang, X., Ruan, J., Shang, H., & Ma, C. (2011). A Combinational Disruption Recovery Model for Vehicle Routing Problem with Time Windows. In Intelligent Decision Technologies (Vol. 10, pp. 3–12).
Xiangpei, H., & Lijun, S. (2012). Knowledge-based modeling for disruption management in urban distribution. Expert Systems with Applications, 39, 906–916.
Zhang, Y., Qi, M.-Y., Lin, W.-H., & Miao, L.-X. (2015). A metaheuristic approach to the reliable location routing problem under disruptions. Transportation Research Part E, 83, 90–110.
Yu, G., & Qi, X. (2004). Disruption Management. World Scientific. https://doi.org/10.1142/5632
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: Logistics and Transportation Review, 89, 182–214.