Dynamic re-order point inventory control with lead-time uncertainty: analysis and empirical investigation
Dynamic re-order point inventory control with lead-time uncertainty: analysis and empirical investigation
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DOI：
10.1080/00207540701666824
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发表时间：
2009-01-01
影响因子：
9.2
通讯作者：
Nikolopoulos, K.
中科院分区：
文献类型：
--
作者：
Babai, M. Z.;Syntetos, A. A.;Nikolopoulos, K.
提出了一种基于预测的动态库存控制方法。在这种方法中，预测和预测的不确定性被假定为在固定的时间范围内的每个期间预先已知的外生数据。控制参数是通过使用一个顺序的过程。这种方法的优点相比，经典的。研究了一类具有非平稳需求和提前期不确定性的单阶段单品种库存系统。基于该方法分析了一种动态再订购点控制策略，并针对给定的目标周期服务水平（CSL）确定了其参数。这一政策的性能进行了评估，通过实证实验的一个大的需求数据集，从制药行业。实证结果表明，使用这样的政策所带来的好处，并允许洞察到其他相关的管理问题。
A new forecast-based dynamic inventory control approach is discussed in this paper. In this approach, forecasts and forecast uncertainties are assumed to be exogenous data known in advance at each period over a fixed horizon. The control parameters are derived by using a sequential procedure. The merits of this approach as compared to the classical one are presented. We focus on a single-stage and single-item inventory system with non-stationary demand and lead-time uncertainty. A dynamic re-order point control policy is analysed based on the new approach and its parameters are determined for a given target cycle service level (CSL). The performance of this policy is assessed by means of empirical experimentation on a large demand data set from the pharmaceutical industry. The empirical results demonstrate the benefits arising from using such a policy and allow insights to be gained into other pertinent managerial issues.