Controlling inventory by combining ABC analysis and fuzzy classification
Controlling inventory by combining ABC analysis and fuzzy classification
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ABC分析与模糊分类相结合控制库存
DOI：
10.1016/j.cie.2008.03.006
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Chien
中科院分区：
文献类型：
--
作者：
C. Chu;G. Liang;Chien
库存管理的目标是就适当的库存水平作出决策。实际上，不可能以同样的注意力来控制所有的库存。使用最广泛的库存系统是ABC分类系统，但ABC控制系统的局限性在于只考虑一个标准。本文的目的是提出一种新的库存控制方法，即abc -模糊分类（ABC-FC），该方法可以处理具有名义属性和非名义属性的变量，并将管理者的经验、判断融入到库存分类中，易于实现。我们的ABC-FC方法是基于基隆港的数据来实施的。我们的研究结果表明，59项被确定为非常重要的组，69项被确定为重要的组，其余64项被确定为不重要的组。通过将ABC-FC分析结果与原始数据进行比较，我们发现我们的ABC-FC分析具有较高的分类准确率。最后对库存控制提出了一些结论和建议。
The objective of inventory management is to make decisions regarding the appropriate level of inventory. In practice, all inventories cannot be controlled with equal attention. The most widespread used inventory system is the ABC classification system, but the limitation of the ABC control system is that only one criterion is considered. The purpose of this paper is to propose a new inventory control approach called ABC–fuzzy classification (ABC–FC), which can handle variables with either nominal or non-nominal attribute, incorporate manager’s experience, judgment into inventory classification, and can be implemented easily. Our ABC–FC approach is implemented based on the data of the Keelung Port. The results of our study show that 59 items are identified as very important group, 69 items as important group, and the remaining 64 items as unimportant group. By comparing the results of ABC–FC with the original data, we find that our ABC–FC analysis shows a high accuracy of classification. Some concluding remarks and suggestions for inventory control are also provided.