A combined forecast—inventory control procedure for spare parts
A combined forecast—inventory control procedure for spare parts
复制标题
备件的组合预测-库存控制程序
DOI：
10.1057/palgrave.jors.2601013
复制
发表时间：
2000
影响因子：
3.6
通讯作者：
E. V. D. Schoot
中科院分区：
文献类型：
--
作者：
R. Heuts;L. Strijbosch;E. V. D. Schoot
本文探讨了两种不同的（S，Q）库存模型，即一个简单的和先进的模型，在荷兰的糖果生产商的生产工厂的备件的性能。简单的方法或多或少是标准的：再订购水平的下冲不考虑和正常分布被用作在提前期内的需求分布。先进的模型需要考虑下冲，零和非零需求之间的差异在提前期，并利用伽玛分布的需求分布。这两个模型都是由一个程序估计的参数，分别预测需求的大小和需求发生之间的时间（间歇性需求）。结果表明，先进的方法在许多情况下产生的服务水平接近理想的，而简单的方法是不一致的，因为它导致更大的库存，以满足所有备件的理想服务水平。
This paper examines the performance of two different (s, Q) inventory models, namely a simple and an advanced model, for spare parts in a production plant of a confectionery producer in the Netherlands. The simple approach is more or less standard: the undershoot of the reorder level is not taken into account and the normal distribution is used as the distribution of demand during lead-time. The advanced model takes undershoots into account, differentiates between zero and nonzero demands during lead-time, and utilises the gamma distribution for the demand distribution. Both models are fed with parameters estimated by a procedure that forecasts demand sizes and time between demand occurrences separately (intermittent demand). The results show that the advanced approach yields a service level close to the desired one under many circumstances, while the simple approach is not consistent, in that it leads to much larger inventories in meeting the desired service level for all spare parts.