Tarim, S. ArmaganHnich, BrahimRossi, RobertoPrestwich, Steven2023-06-162023-06-1620091383-71331572-9354https://doi.org/10.1007/s10601-007-9039-3https://hdl.handle.net/20.500.14365/907This paper(1) considers a single product and a single stocking location production/inventory control problem given a non-stationary stochastic demand. Under a widely-used control policy for this type of inventory system, the objective is to find the optimal number of replenishments, their timings and their respective order-up-to-levels that meet customer demands to a required service level. We extend a known CP approach for this problem using three cost-based filtering methods. Our approach can solve to optimality instances of realistic size much more efficiently than previous approaches, often with no search effort at all.eninfo:eu-repo/semantics/openAccessInventory controlNon-stationary (R, S) policyStochastic demandCost-based filteringDynamic programming relaxationLot-Sizing ProblemDemandAlgorithmsSystemsArticle10.1007/s10601-007-9039-32-s2.0-62949169326