A new approach of inventory classification based on loss profit

A new approach of inventory classification based on loss profit
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一种基于损益的存货分类新方法

DOI:
10.1016/j.eswa.2011.01.127
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发表时间:
2011-08
期刊:
Expert Systems with Applications 38 (2011)
影响因子:
--
通讯作者:
Kaku Ikou
Kaku Ikou
中科院分区:
其他
文献类型:
--
作者:
Zhang Ren-qian;Xiao Yi-yong;Kaku Ikou

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现代生产计划和库存控制是为了处理更实际、更复杂的情况而发展起来的,如研究供应链而不是单一库存点,研究多个相关的产品而不是单一产品等等。本文利用交叉销售效应的概念,讨论了如何对相互关联的库存产品进行分类。在历史上,ABC分类通常用于库存项目汇总,因为库存项目的数量非常大,以至于为每个单独的项目设置库存和服务控制指南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,一个项目的利润不仅来自于自身的销售,还来自于其对其他项目销售的影响或反向,即,“交叉销售效应”。我们以前开发了一种分类方法的库存项目,通过使用关联规则来处理“交叉销售效应”,并发现一个非常不同的分类时,可以得到与传统的ABC分类。然而,“交叉销售效应”可以用不同的方式来考虑。本文提出了一种基于损失准则的库存分类新思想。讨论了具有“交叉销售效应”的项目/项目集的利润损失,并将其定义为项目重要性的评价标准,在此基础上提出了库存项目分类和最大利润项目选择的新算法。通过一个简单的例子来说明新算法,并在日本便利店收集的真实的数据库和下载的基准数据库上进行了大量的实验,以评估算法的有效性和实用性。结果表明,本文提出的方法可以很好地了解项目之间的交叉销售效应,适用于大型交易数据库。
Modern production planning and inventory control has been developed in order to treat more practical and more complicated circumstances, such as researching supply chain instead of single stock point; multi-items with correlation instead of single item and so on. In this paper, how to classify inventory items which are correlated each other is discussed by using the concept of ‘cross-selling effect’. 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 or reverse, i.e., the ‘cross-selling effect’. We had previously developed a classification approach for inventory items by using the association rules to deal with the ‘cross-selling effect’ and found that a very different classification can be obtained when comparing with traditional ABC classification. However, the ‘cross-selling effect’ may be considered in different ways. In this paper, a new consideration of inventory classification based on loss rule is presented. The lost profit of item/itemset with ‘cross-selling effect’ is discussed and defined as criterion for evaluating of importance of item, based on which new algorithms on classifying inventory items, also on discovering maximum profit item selection, are presented. A simple example is used to explain the new algorithm, and large amount of empirical experiments, both on real database collected from Japanese convenient store and on downloaded benchmark database, are implemented to evaluate the performances on effectiveness and utility. The results show that the proposed approach in this paper can gain a well insight into the cross-selling effect among items and is applicable for large-sized transaction database.
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