Rossi, RobertoTarim, S. ArmaganHnich, BrahimPrestwich, Steven2023-06-162023-06-1620100925-52731873-7579https://doi.org/10.1016/j.ijpe.2010.05.011https://hdl.handle.net/20.500.14365/1247In this paper we address the general multi-period production/inventory problem with non-stationary stochastic demand and supplier lead-time under service level constraints. A replenishment cycle policy (RS) is modeled, where R is the nth replenishment cycle length and S is the respective order-up-to-level. We propose a stochastic constraint programming approach for computing the optimal policy parameters. In order to do so, a dedicated global chance-constraint and the respective filtering algorithm that enforce the required service level are presented. Our numerical examples show that a stochastic supplier lead-time significantly affects policy parameters with respect to the case in which the lead-time is assumed to be deterministic or absent. (C) 2010 Elsevier B.V. All rights reserved.eninfo:eu-repo/semantics/openAccessInventory controlDemand uncertaintySupplier lead-time uncertaintyStochastic constraint programmingGlobal chance-constraintsLot-Sizing ProblemConstraintSystemsModelArticle10.1016/j.ijpe.2010.05.0112-s2.0-77955472084