The location-inventory model with risk pooling and split demand

References

• Ahmadi-Javid, A., & Hoseinpour, P. (2015). Incorporating location, inventory and price decisions into a supply chain distribution network design problem[J]. Computers & Operations Research, 56, 110–18. doi:10.1016/j.cor.2014.07.014
   Web of Science ®Google Scholar
• Amiri-Aref, M., Klibi, W., & Babai, M. Z. (2018). The multi-sourcing location inventory problem with stochastic demand[J]. European Journal of Operational Research, 266(1), 72–87. doi:10.1016/j.ejor.2017.09.003
   Web of Science ®Google Scholar
• Archetti, C., Savelsbergh, M W., & Speranza, M. G. (2006). Worst-case analysis for split delivery vehicle routing problems[J]. Transportation Science, 40(2), 226–234. doi:10.1287/trsc.1050.0117
   Web of Science ®Google Scholar
• Atamtürk, A., Berenguer, G., & Shen, Z. (2012). A conic integer programming approach to stochastic joint location-inventory problems[J]. Operations Research, 60(2), 366–381. doi:10.1287/opre.1110.1037
   Web of Science ®Google Scholar
• Azad, N., & Davoudpour, H. (2008). A hybrid Tabu-SA algorithm for location-inventory model with considering capacity levels and uncertain demands[J]. Journal of Information and Computing Science, 3(4), 290–304.
   Google Scholar
• Berman, O., Krass, D., & Mahdi Tajbakhsh, M. (2011). On the benefits of risk pooling in inventory management[J]. Production and Operations Management, 20(1), 57–71. doi:10.1111/poms.2010.20.issue-1
   Web of Science ®Google Scholar
• Chen, S., Golden, B., & Wasil, E. (2007). The split delivery vehicle routing problem: Applications, algorithms, test problems, and computational results[J]. Networks: An International Journal, 49(4), 318–329. doi:10.1002/(ISSN)1097-0037
   Web of Science ®Google Scholar
• Daskin, M S, Coullard, C R, & Shen, Z. M. (2002). An inventory-location model: Formulation, solution algorithm and computational results[J]. Annals of Operations Research, 110(1–4), 83–106. doi:10.1023/A:1020763400324
   Web of Science ®Google Scholar
• Daskin, M.S. (1995). Network and discrete location: Models, algorithms, and applications. New York: Wiley Interscience.
   Google Scholar
• De, A., Choudhary, A., & Tiwari, M. K. (2017). Multiobjective approach for sustainable ship routing and scheduling with draft restrictions[J]. IEEE Transactions on Engineering Management, 66(1), 35–51. doi:10.1109/TEM.2017.2766443
   Web of Science ®Google Scholar
• De, A., Pratap, S., Kumar, A., & Tiwari, M. K, et al. (2018). A hybrid dynamic berth allocation planning problem with fuel costs considerations for container terminal port using chemical reaction optimization approach[J]. Annals of Operations Research, 1–29. https://doi.org/10.1007/s10479-018-3070-1
   Web of Science ®Google Scholar
• De, A., Wang, J., & Tiwari, M. K. (2019). Hybridizing basic variable neighborhood search with particle swarm optimization for solving sustainable ship routing and bunker management problem[J]. IEEE Transactions on Intelligent Transportation Systems, 1–12. doi:10.1109/TITS.6979
   Web of Science ®Google Scholar
• Diabat, A., Abdallah, T., & Henschel, A. (2015). A closed-loop location-inventory problem with spare parts consideration[J]. Computers & Operations Research, 54, 245–256. doi:10.1016/j.cor.2013.08.023
   Web of Science ®Google Scholar
• Diabat, A., & Deskoores, R. (2016). A hybrid genetic algorithm based heuristic for an integrated supply chain problem[J]. Journal of Manufacturing Systems, 38, 172–180. doi:10.1016/j.jmsy.2015.04.011
   Web of Science ®Google Scholar
• Dror, M., & Trudeau, P. (1989). Savings by split delivery routing[J]. Transportation Science, 23(2), 141–145. doi:10.1287/trsc.23.2.141
   Web of Science ®Google Scholar
• Eppen, G. D. (1979). Note—Effects of centralization on expected costs in a multi-location newsboy problem[J]. Management Science, 25(5), 498–501. doi:10.1287/mnsc.25.5.498
   Web of Science ®Google Scholar
• Escalona, P., Ordóñez, F., & Marianov, V. (2015). Joint location-inventory problem with differentiated service levels using critical level policy[J]. Transportation Research Part E: Logistics and Transportation Review, 83, 141–157. doi:10.1016/j.tre.2015.09.009
   Web of Science ®Google Scholar
• Farahani, R Z, Rashidi Bajgan, H., Fahimnia, B., & Kaviani, M. (2015). Location-inventory problem in supply chains: A modelling review[J]. International Journal of Production Research, 53(12), 3769–3788. doi:10.1080/00207543.2014.988889
   Web of Science ®Google Scholar
• Firoozi, Z., Tang, S H., Ariafar, S., & Ariffin, M. K. A. M. (2013). An optimization approach for a joint location inventory model considering quantity discount policy[J]. Arabian Journal for Science and Engineering, 38(4), 983–991. doi:10.1007/s13369-012-0360-9
   Web of Science ®Google Scholar
• Gebennini, E., Gamberini, R., & Manzini, R. (2009). An integrated production–Distribution model for the dynamic location and allocation problem with safety stock optimization[J]. International Journal of Production Economics, 122(1), 286–304. doi:10.1016/j.ijpe.2009.06.027
   Web of Science ®Google Scholar
• Gu, W., Cattaruzza, D., Ogier, M., & Semet, F., et al. (2019). Adaptive large neighborhood search for the commodity constrained split delivery VRP[J]. Computers & Operations Research, 112:104761. https://doi.org/10.1016/j.cor.2019.07.019
   Web of Science ®Google Scholar
• Hao, X., & HuiLi, Y. (2015). A three-phase tabu search heuristic for the split delivery vehicle routing problem[J]. System Engineering Theory and Practice, 35, 1230–1235.
   Google Scholar
• Krarup, J., & Pruzan, P. M. (1983). The simple plant location problem: Survey and synthesis[J]. European Journal of Operational Research, 12(1), 36–81. doi:10.1016/0377-2217(83)90181-9
   Web of Science ®Google Scholar
• Meissner, J., & Senicheva, O. V. (2018). Approximate dynamic programming for lateral transshipment problems in multi-location inventory systems[J]. European Journal of Operational Research, 265(1), 49–64. doi:10.1016/j.ejor.2017.06.049
   Web of Science ®Google Scholar
• Miranda, P A, & Garrido, R. A. (2006). A simultaneous inventory control and facility location model with stochastic capacity constraints[J]. Networks and Spatial Economics, 6(1), 39–53. doi:10.1007/s11067-006-7684-5
   Web of Science ®Google Scholar
• Ozsen, L., Coullard, C R., & Daskin, M. S. (2008). Capacitated warehouse location model with risk pooling[J]. Naval Research Logistics (NRL), 55(4), 295–312. doi:10.1002/nav.20282
   Web of Science ®Google Scholar
• Punyim, P., Karoonsoontawong, A., Unnikrishnan, A., & Xie, C. (2018). Tabu search heuristic for joint location-inventory problem with stochastic inventory capacity and practicality constraints[J]. Networks and Spatial Economics, 18(1), 51–84. doi:10.1007/s11067-017-9368-8
   Web of Science ®Google Scholar
• Shen, Z M, Coullard, C., & Daskin, M. S. (2003). A joint location-inventory model[J]. Transportation Science, 37(1), 40–55. doi:10.1287/trsc.37.1.40.12823
   Web of Science ®Google Scholar
• Silva, F., & Gao, L. (2013). A joint replenishment inventory-location model[J]. Networks and Spatial Economics, 13(1), 107–122. doi:10.1007/s11067-012-9174-2
   Web of Science ®Google Scholar
• van Wijk, A., & Adan, I J. (2019). Optimal lateral transshipment policies for a two location inventory problem with multiple demand classes[J]. European Journal of Operational Research, 272(2), 481–495. doi:10.1016/j.ejor.2018.06.033
   Web of Science ®Google Scholar