Abstract
The article describes our work on an extension of the Inventory Routing Problem (IRP). While the basic formulation of the IRP combines delivery volume with vehicle routing decisions, and thus includes tactical and operative aspects, we here consider the strategic placement of the depot, also. In some first experiments, the effect of such a strategic decision on the inventory levels and routing costs in the supply chain is studied. Besides, potential improvements, i.e., savings in transportation costs are investigated. Our findings indicate that efficiency improvements are indeed achievable by extending the problem formulation towards the strategic planning level.
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References
Barthélemy, T., Geiger, M.J., Sevaux, M.: An extended solution representation for the biobjective inventory routing problem. In: Renatus, F., Kunze, R., Karschin, I., Geldermann, J., Fichtner, W. (eds.) Entscheidungsunterstützung durch Operations Research im Energie- und Umweltbereich, pp. 7–20. Shaker Verlag (2012)
Bertazzi, L., Savelsbergh, M., Speranza, M.G.: Inventory routing. In: Golden, B., Raghavan, S., Wasil, E. (eds.) The Vehicle Routing Problem—Latest Advances and New Challenges, pp. 49–72. Springer (2008)
Bertazzi, L., Speranza, M.G.: Inventory routing problems with multiple customers. EUR. J. Transp. Logist. 2(3), 255–275 (2013)
Coelho, L.C.: Flexibility and Consistency in Inventory-Routing. Ph.D., HEC Montréal—Affiliée à l’ Université de Montréal (2012)
Geiger, M.J., Sevaux, M.: The biobjective inventory routing problem—problem solution and decision support. In: Pahl, J., Reiners, T., Voß, S. (eds.) Network Optimization. Lecture Notes in Computer Science, vol. 6701, pp. 365–378. Springer, Berlin, Heidelberg (2011)
Guerrero, W.J., Prodhon, C., Velasco, N., Amaya, C.A.: A relax-and-price heuristic for the inventory-location-routing problem. Int. J. Adv. Manuf. Technol. 22(1), 129–148 (2015)
Hiassat, A.H., Diabat, A.: A location-inventory-routing problem with perishable products. In: Proceedings of the 41st International Conference on Computers and Industrial Engineering (2011)
Huber, S., Geiger, M.J., Sevaux, M.: Simulation of preference information in an interactive reference point-based method for the bi-objective inventory routing problem. J. Multi-Criteria Decis. Anal. 22(1–2), 17–35 (2015)
Liu, S., Lin, C.: A heuristic method for the combined location routing and inventory problem. Int. J. Adv. Manuf. Technol. 26(4), 372–381 (2005)
Sevaux, M., Geiger, M.J.: Inventory routing and on-line inventory routing file format. Technical Report RR-11-01-01, Helmut-Schmidt-University (2011)
Wang, C., Ma, Z., Li, H.: Stochastic dynamic location-routing-inventory problem in closed-loop logistics system for reusing end-of-use products. Intell. Comput. Technol. Autom. (ICICTA) 2, 691–695 (2008)
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Huber, S., Geiger, M.J. (2018). Long-Term Consequences of Depot Decisions for the Inventory Routing Problem. In: Fink, A., Fügenschuh, A., Geiger, M. (eds) Operations Research Proceedings 2016. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-55702-1_51
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DOI: https://doi.org/10.1007/978-3-319-55702-1_51
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