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Optimal and near-optimal policies for lost sales inventory models with at most one replenishment order outstanding

机译:具有最多一个补货订单的丢失销售库存模型的最优和接近最优的策略

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摘要

In this paper we use policy-iteration to explore the behaviour of optimal control policies for lost sales inventory models with the constraint that not more than one replenishment order may be outstanding at any time. Continuous and periodic review, fixed and variable lead times, replenishment order sizes which are constrained to be an integral multiple of some fixed unit of transfer and service level constraint models are all considered. Demand is discrete and, for continuous review, assumed to derive from a compound Poisson process. It is demonstrated that, in general, neither the best (s, S) nor the best (r, Q) policy is optimal but that the best policy from within those classes will have a cost which is generally close to that of the optimal policy obtained by policy iteration. Finally, near-optimal computationally-efficient control procedures for finding (s, S) and (r, Q) policies are proposed and their performance illustrated. (c) 2004 Elsevier B.V. All rights reserved.
机译:在本文中,我们使用策略迭代来探索丢失销售库存模型的最优控制策略的行为,其约束是在任何时候都可能有不超过一个补货订单。连续和定期检查,固定和可变的交付时间,补货订单大小(这些约束被限制为某个固定的转移单位和服务水平约束模型的整数倍)均被考虑在内。需求是离散的,并且为了进行持续审查,假设需求来自复合泊松过程。结果表明,一般而言,最佳(s,S)或最佳(r,Q)策略都不是最优的,但是这些类别中的最佳策略的成本通常接近于最佳策略的成本。通过策略迭代获得。最后,提出了用于寻找(s,S)和(r,Q)策略的近似最佳计算效率的控制程序,并说明了它们的性能。 (c)2004 Elsevier B.V.保留所有权利。

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