How to cite this paper
Li, Z & Jiao, P. (2022). Two-stage stochastic programming for the inventory routing problem with stochastic demands in fuel delivery.International Journal of Industrial Engineering Computations , 13(4), 507-522.
Refrences
Andersson, H., Hoff, A., Christiansen, M., Hasle, G., & Lokketangen, A. (2010). Industrial aspects and literature survey: Combined inventory management and routing. Computers & Operations Research, 37(9), 1515-1536.
Adulyasak, Y., Cordeau, J. F., & Jans, R. (2015). The production routing problem: A review of formulations and solution algorithms. Computers & Operations Research, 55, 141-152.
Archetti, C., Bertazzi, L., Hertz, A., & Speranza, M. G. (2012). A hybrid heuristic for an inventory routing problem. INFORMS Journal on Computing, 24(1), 101-116.
Agra, A., Requejo, C., & Rodrigues, F. (2018). An adjustable sample average approximation algorithm for the stochastic production-inventory-routing problem. Networks, 72(1), 5-24.
Birge, J. R., & Louveaux, F. (2011). Introduction to stochastic programming. Springer Science & Business Media.
Benders, J. F. (1962). Partitioning procedures for solving mixed-variables programming problems. Numerische mathematik, 4(1), 238-252.
Cornillier, F., Boctor, F. F., Laporte, G., & Renaud, J. (2008). A heuristic for the multi-period petrol station replenishment problem. European Journal of Operational Research, 191(2), 295-305.
Chowmali, W., & Sukto, S. (2020). A novel two-phase approach for solving the multi-compartment vehicle routing problem with a heterogeneous fleet of vehicles: a case study on fuel delivery. Decision Science Letters, 9(1), 77-90.
Coelho, L. C., Cordeau, J. F., & Laporte, G. (2014). Thirty years of inventory routing. Transportation Science, 48(1), 1-19.
Cheng, C., Yang, P., Qi, M. Y., & Rousseau, L. M. (2017). Modeling a green inventory routing problem with a heterogeneous fleet. Transportation Research Part E-Logistics and Transportation Review, 97, 97-112.
Chitsaz, M., Divsalar, A., & Vansteenwegen, P. (2016). A two-phase algorithm for the cyclic inventory routing problem. European Journal of Operational Research, 254(2), 410-426.
Cho, J., Lim, G. J., Kim, S. J., & Biobaku, T. (2018). Liquefied natural gas inventory routing problem under uncertain weather conditions. International Journal of Production Economics, 204, 18-29.
Gruler, A., Panadero, J., de Armas, J., Perez, J. A. M., & Juan, A. A. (2020). A variable neighborhood search simheuristic for the multiperiod inventory routing problem with stochastic demands. International Transactions in Operational Research, 27(1), 314-335.
Hiassat, A., Diabat, A., & Rahwan, I. (2017). A genetic algorithm approach for location-inventory-routing problem with perishable products. Journal of Manufacturing Systems, 42, 93-103.
Hemmati, A., Hvattum, L. M., Christiansen, M., & Laporte, G. (2016). An iterative two-phase hybrid matheuristic for a multi-product short sea inventory-routing problem. European Journal of Operational Research, 252(3), 775-788.
Li, Z. P., Zhang, Y. W., & Zhang, G. W. (2020). Two-stage stochastic programming for the refined oil secondary distribution with uncertain demand and limited inventory capacity. IEEE Access, 8, 119487-119500.
Liu, C. Z., Fan, Y. Y., & Ordonez, F. (2009). A two-stage stochastic programming model for transportation network protection. Computers & Operations Research, 36(5), 1582-1590.
Laporte, G., & Louveaux, F. V. (1993). The integer L-shaped method for stochastic integer programs with complete recourse. Operations Research Letters, 13(3), 133-142.
Mosca, A., Vidyarthi, N., & Satir, A. (2019). Integrated transportation-inventory models: A review. Operations Research Perspectives, 6, 100101.
Micheli, G. J. L., & Mantella, F. (2018). Modelling an environmentally-extended inventory routing problem with demand uncertainty and a heterogeneous fleet under carbon control policies. International Journal of Production Economics, 204, 316-327.
Mirzapour Al-e-hashem, S. M. J., Rekik, Y., & Mohammadi Hoseinhajlou, E. (2019). A hybrid L-shaped method to solve a bi-objective stochastic transshipment-enabled inventory routing problem. International Journal of Production Economics, 209, 381-398.
Marufuzzaman, M., Eksioglu, S. D., & Huang, Y. (2014). Two-stage stochastic programming supply chain model for biodiesel production via wastewater treatment. Computers & Operations Research, 49, 1-17.
Moreno, A., Alem, D., Ferreira, D., & Clark, A. (2018). An effective two-stage stochastic multi-trip location-transportation model with social concerns in relief supply chains. European Journal of Operational Research, 269(3), 1050-1071.
Nikzad, E., Bashiri, M., & Oliveira, F. (2019). Two-stage stochastic programming approach for the medical drug inventory routing problem under uncertainty. Computers & Industrial Engineering, 128, 358-370.
Noyan, N. (2012). Risk-averse two-stage stochastic programming with an application to disaster management. Computers & Operations Research, 39(3), 541-559.
Oppen, J., Lokketangen, A., & Desrosiers, J. (2010). Solving a rich vehicle routing and inventory problem using column generation. Computers & Operations Research, 37(7), 1308-1317.
Popović, D., Vidović, M., & Radivojević, G. (2012). Variable neighborhood search heuristic for the inventory routing problem in fuel delivery. Expert Systems with Applications, 39(18), 13390-13398.
Raa, B., & Aghezzaf, E. H. (2009). A practical solution approach for the cyclic inventory routing problem. European Journal of Operational Research, 192(2), 429-441.
Raa, B., & Dullaert, W. (2017). Route and fleet design for cyclic inventory routing. European Journal of Operational Research, 256(2), 404-411.
Raa, B., & Aouam, T. (2021). Multi-vehicle stochastic cyclic inventory routing with guaranteed replenishments. International Journal of Production Economics, 234, 108059.
Roldán, R. F., Basagoiti, R., & Coelho, L. C. (2017). A survey on the inventory-routing problem with stochastic lead times and demands. Journal of Applied Logic, 24, 15-24.
Su, Z. X., Lu, Z. P., Wang, Z., Qi, Y. M., & Benlic, U. (2020). A matheuristic algorithm for the inventory routing problem. Transportation Science, 54(2), 330-354.
Sikora, C. G. S. (2021). Benders' decomposition for the balancing of assembly lines with stochastic demand. European Journal of Operational Research, 292(1), 108-124.
Solomon, M. M. (1987). Algorithms for the vehicle-routing and scheduling problems with time window constraints. Operations Research, 35(2), 254-265.
Vanslyke, R. M., & Wets, R. (1969). L-shaped linear programs with applications to optimal control and stochastic programming. SIAM journal on applied mathematics, 17(4), 638-663.
Wang, L., Kinable, J., & van Woensel, T. (2020). The fuel replenishment problem: A split-delivery multi-compartment vehicle routing problem with multiple trips. Computers & Operations Research, 118, 104904.
Wang, S. Y., Tao, F. M., & Shi, Y. H. (2018). Optimization of inventory routing problem in refined oil logistics with the perspective of carbon tax. Energies, 11(6), 1437.
Wang, L. (2020). A two-stage stochastic programming framework for evacuation planning in disaster responses. Computers & Industrial Engineering, 145, 106458.
Zhang, Z. Z., Luo, Z. X., Baldacci, R., & Lim, A. (2021). A Benders decomposition approach for the multivehicle production routing problem with order-up-to-level policy. Transportation Science, 55(1), 160-178.
Zhang, Y. W., Li, Z. P., Jiao, P. B., & Zhu, S. (2021). Two-stage stochastic programming approach for limited medical reserves allocation under uncertainties. Complex & Intelligent Systems, 7(6), 3003-3013.
Adulyasak, Y., Cordeau, J. F., & Jans, R. (2015). The production routing problem: A review of formulations and solution algorithms. Computers & Operations Research, 55, 141-152.
Archetti, C., Bertazzi, L., Hertz, A., & Speranza, M. G. (2012). A hybrid heuristic for an inventory routing problem. INFORMS Journal on Computing, 24(1), 101-116.
Agra, A., Requejo, C., & Rodrigues, F. (2018). An adjustable sample average approximation algorithm for the stochastic production-inventory-routing problem. Networks, 72(1), 5-24.
Birge, J. R., & Louveaux, F. (2011). Introduction to stochastic programming. Springer Science & Business Media.
Benders, J. F. (1962). Partitioning procedures for solving mixed-variables programming problems. Numerische mathematik, 4(1), 238-252.
Cornillier, F., Boctor, F. F., Laporte, G., & Renaud, J. (2008). A heuristic for the multi-period petrol station replenishment problem. European Journal of Operational Research, 191(2), 295-305.
Chowmali, W., & Sukto, S. (2020). A novel two-phase approach for solving the multi-compartment vehicle routing problem with a heterogeneous fleet of vehicles: a case study on fuel delivery. Decision Science Letters, 9(1), 77-90.
Coelho, L. C., Cordeau, J. F., & Laporte, G. (2014). Thirty years of inventory routing. Transportation Science, 48(1), 1-19.
Cheng, C., Yang, P., Qi, M. Y., & Rousseau, L. M. (2017). Modeling a green inventory routing problem with a heterogeneous fleet. Transportation Research Part E-Logistics and Transportation Review, 97, 97-112.
Chitsaz, M., Divsalar, A., & Vansteenwegen, P. (2016). A two-phase algorithm for the cyclic inventory routing problem. European Journal of Operational Research, 254(2), 410-426.
Cho, J., Lim, G. J., Kim, S. J., & Biobaku, T. (2018). Liquefied natural gas inventory routing problem under uncertain weather conditions. International Journal of Production Economics, 204, 18-29.
Gruler, A., Panadero, J., de Armas, J., Perez, J. A. M., & Juan, A. A. (2020). A variable neighborhood search simheuristic for the multiperiod inventory routing problem with stochastic demands. International Transactions in Operational Research, 27(1), 314-335.
Hiassat, A., Diabat, A., & Rahwan, I. (2017). A genetic algorithm approach for location-inventory-routing problem with perishable products. Journal of Manufacturing Systems, 42, 93-103.
Hemmati, A., Hvattum, L. M., Christiansen, M., & Laporte, G. (2016). An iterative two-phase hybrid matheuristic for a multi-product short sea inventory-routing problem. European Journal of Operational Research, 252(3), 775-788.
Li, Z. P., Zhang, Y. W., & Zhang, G. W. (2020). Two-stage stochastic programming for the refined oil secondary distribution with uncertain demand and limited inventory capacity. IEEE Access, 8, 119487-119500.
Liu, C. Z., Fan, Y. Y., & Ordonez, F. (2009). A two-stage stochastic programming model for transportation network protection. Computers & Operations Research, 36(5), 1582-1590.
Laporte, G., & Louveaux, F. V. (1993). The integer L-shaped method for stochastic integer programs with complete recourse. Operations Research Letters, 13(3), 133-142.
Mosca, A., Vidyarthi, N., & Satir, A. (2019). Integrated transportation-inventory models: A review. Operations Research Perspectives, 6, 100101.
Micheli, G. J. L., & Mantella, F. (2018). Modelling an environmentally-extended inventory routing problem with demand uncertainty and a heterogeneous fleet under carbon control policies. International Journal of Production Economics, 204, 316-327.
Mirzapour Al-e-hashem, S. M. J., Rekik, Y., & Mohammadi Hoseinhajlou, E. (2019). A hybrid L-shaped method to solve a bi-objective stochastic transshipment-enabled inventory routing problem. International Journal of Production Economics, 209, 381-398.
Marufuzzaman, M., Eksioglu, S. D., & Huang, Y. (2014). Two-stage stochastic programming supply chain model for biodiesel production via wastewater treatment. Computers & Operations Research, 49, 1-17.
Moreno, A., Alem, D., Ferreira, D., & Clark, A. (2018). An effective two-stage stochastic multi-trip location-transportation model with social concerns in relief supply chains. European Journal of Operational Research, 269(3), 1050-1071.
Nikzad, E., Bashiri, M., & Oliveira, F. (2019). Two-stage stochastic programming approach for the medical drug inventory routing problem under uncertainty. Computers & Industrial Engineering, 128, 358-370.
Noyan, N. (2012). Risk-averse two-stage stochastic programming with an application to disaster management. Computers & Operations Research, 39(3), 541-559.
Oppen, J., Lokketangen, A., & Desrosiers, J. (2010). Solving a rich vehicle routing and inventory problem using column generation. Computers & Operations Research, 37(7), 1308-1317.
Popović, D., Vidović, M., & Radivojević, G. (2012). Variable neighborhood search heuristic for the inventory routing problem in fuel delivery. Expert Systems with Applications, 39(18), 13390-13398.
Raa, B., & Aghezzaf, E. H. (2009). A practical solution approach for the cyclic inventory routing problem. European Journal of Operational Research, 192(2), 429-441.
Raa, B., & Dullaert, W. (2017). Route and fleet design for cyclic inventory routing. European Journal of Operational Research, 256(2), 404-411.
Raa, B., & Aouam, T. (2021). Multi-vehicle stochastic cyclic inventory routing with guaranteed replenishments. International Journal of Production Economics, 234, 108059.
Roldán, R. F., Basagoiti, R., & Coelho, L. C. (2017). A survey on the inventory-routing problem with stochastic lead times and demands. Journal of Applied Logic, 24, 15-24.
Su, Z. X., Lu, Z. P., Wang, Z., Qi, Y. M., & Benlic, U. (2020). A matheuristic algorithm for the inventory routing problem. Transportation Science, 54(2), 330-354.
Sikora, C. G. S. (2021). Benders' decomposition for the balancing of assembly lines with stochastic demand. European Journal of Operational Research, 292(1), 108-124.
Solomon, M. M. (1987). Algorithms for the vehicle-routing and scheduling problems with time window constraints. Operations Research, 35(2), 254-265.
Vanslyke, R. M., & Wets, R. (1969). L-shaped linear programs with applications to optimal control and stochastic programming. SIAM journal on applied mathematics, 17(4), 638-663.
Wang, L., Kinable, J., & van Woensel, T. (2020). The fuel replenishment problem: A split-delivery multi-compartment vehicle routing problem with multiple trips. Computers & Operations Research, 118, 104904.
Wang, S. Y., Tao, F. M., & Shi, Y. H. (2018). Optimization of inventory routing problem in refined oil logistics with the perspective of carbon tax. Energies, 11(6), 1437.
Wang, L. (2020). A two-stage stochastic programming framework for evacuation planning in disaster responses. Computers & Industrial Engineering, 145, 106458.
Zhang, Z. Z., Luo, Z. X., Baldacci, R., & Lim, A. (2021). A Benders decomposition approach for the multivehicle production routing problem with order-up-to-level policy. Transportation Science, 55(1), 160-178.
Zhang, Y. W., Li, Z. P., Jiao, P. B., & Zhu, S. (2021). Two-stage stochastic programming approach for limited medical reserves allocation under uncertainties. Complex & Intelligent Systems, 7(6), 3003-3013.