A new algorithm of inventory classification based on the association rules
A new algorithm of inventory classification based on the association rules
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DOI：
10.1504/ijssci.2008.019609
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发表时间：
2008-07
期刊：
影响因子：
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通讯作者：
I. Kaku;Yiyong Xiao
中科院分区：
文献类型：
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作者：
I. Kaku;Yiyong Xiao
今天，工程科学和信息技术为我们提供了强大的计算工具来支持生产计划和库存控制。在历史上，ABC分类法通常用于库存项目的汇总，因为库存项目的数量非常大，为每个单独的项目设置库存和服务控制准则在计算上是不可行的。ABC分类法的一个基本原则是，根据历史交易的利润概念对所有库存项目进行排序。难点在于，一个产品的利润不仅来自于其本身的销售，还来自于其对其他产品销售的影响，即“交叉销售效应”。提出了一种基于关联规则的库存分类算法。通过使用支持-置信度框架，引入交叉销售效应的考虑，生成一个新的标准，然后用于对库存项目进行排名。通过数值算例说明了该算法，并通过实验验证了算法的有效性和实用性。
Today, engineering science and information technologies have given us powerful computational tools to support production planning and inventory control. In history, the ABC classification is usually used for inventory items aggregation because the number of inventory items is so large that it is not computationally feasible to set stock and service control guidelines for each individual item. A fundamental principle in ABC classification is that, ranking all inventory items with respect to a notion of profit based on historical transactions. The difficulty is that the profit of one item not only comes from its own sales, but also from its influence on the sales of other items, that is, the 'cross-selling effect'. In this paper a new algorithm of inventory classification based on the association rules is presented. By using the Support-Confidence framework the consideration of cross-selling effect is introduced to generate a new criterion that is then used to rank inventory items. A numeral example is used to explain the new algorithm and empirical experiments are implemented to evaluate its effectiveness and utility.