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A new model for inventory items classification through integration of ABC-Fuzzy and fuzzy analytic hierarchy process

机译:ABC-Fuzzy与模糊层次分析法相集成的库存项目分类新模型

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摘要

Inventory items are usually grouped into two categories. The first category includes items which constitute the major portion of inventory value but have little diversity. However, the second category contains a great diversity of items which are less valuable than the items in the first category in general. Thus, using a method of inventory control for all of these items does not seem reasonable. In this paper by ABC classification, 77 items are categorised into three groups at first, in which group A includes 11 items, group B includes 16 items, and group C includes 50 items. Then, we considered criticality, scarcity and putrescence of items by combining ABC method and fuzzy classification to categorise aforementioned 77 items into 14 'very important', 20 'important', and 43 'unimportant' items. Considering that those criteria are not equally important in fuzzy classification of items, in this research fuzzy analytic hierarchy process (FAHP) technique was used to determine the importance and weights of criteria. Since probable dearth of items can impose some problems to manufacturing companies, making a precise cluster of items considering qualitative criteria can help these companies in order to plan and design an effective inventory control systems.
机译:库存项目通常分为两类。第一类包括构成库存价值主要部分但几乎没有多样性的项目。但是,第二类包含的物品种类繁多,其价值通常不如第一类中的物品。因此,对所有这些物品使用库存控制方法似乎并不合理。本文采用ABC分类法,首先将77个项目分为三组,其中A组包括11个项目,B组包括16个项目,C组包括50个项目。然后,我们通过结合ABC方法和模糊分类考虑了项目的关键性,稀缺性和腐烂性,将上述77个项目分为14个“非常重要”,20个“重要”和43个“不重要”项目。考虑到这些标准在项目的模糊分类中不那么重要,因此在本研究中使用模糊层次分析法(FAHP)来确定标准的重要性和权重。由于可能的物品短缺可能给制造公司带来一些问题,因此,考虑定性标准来制作精确的物品组可以帮助这些公司计划和设计有效的库存控制系统。

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