Combined use of simulation and optimization models as a decision support tool for robust Inventory Routing Problems
Paweł Hanczar , Jacek Kaleta , Marek Karkula
AbstractThe combination of decisions regarding inventory management and vehicle routing decision leads to complex combinatorial optimization problem called the Inventory Routing Problem (IRP). Several heuristic algorithms for solving IRP were proposed in recent years. A lot of them are based on static and deterministic versions of IRP. Based on our management experience we identified a lot of situations where the VMI approach is used but the dynamic version of the IRP has to be considered. Such situations occur in case of LPG supplies to fuel stations. There are some proposals of heuristic policies which can be used in above mentioned circumstances. In our proposal after each delivery the optimization models are applied in order to optimize routes and delivery dates. In our paper we presented the combined use of optimization models and discrete event simulation to evaluate the influence of different variability of selected models’ parameters on the final plan. Simulation models have proved very useful as an aid to build dynamic and robust plans for considered inventory routing problem. We presented results of extensive simulation analysis of randomly generated cases for comparison our proposals and some policy solutions.
|Publication size in sheets||0.5|
|Book||CLC 2016: Carpathian Logistics Congress - Conference Proceedings [CD-ROM], 2017, Tanger Ltd., ISBN 9788087294765, 713 p.|
|Keywords in English||VMI, VRP, IRP, DSS|
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