Criticality analysis of spare parts management: a multi-criteria classification regarding a cross-plant central warehouse strategy

Criticality analysis of spare parts management: a multi-criteria classification regarding a cross-plant central warehouse strategy
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备件管理的关键性分析:跨工厂中央仓库策略的多标准分类

DOI:
10.1007/s11740-015-0602-2
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发表时间:
2015
期刊:
Production Engineering
影响因子:
--
通讯作者:
Schneider
Schneider
中科院分区:
--
文献类型:
--
作者:
Schneider

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今天,高效的生产机械备件仓库和库存管理对服务机构至关重要。在备件管理中,采购、库存和供应的优化策略对备件的可用性起着重要的作用。在这种情况下,应该考虑单个项目的临界性,它描述了备件的关键程度。针对服务网络的跨厂中心仓库策略,提出了一种备件的三维分类方法。该方法借助ABC和XYZ分析,使用两个维度来估计备件的价值和可预测性。第三维动态动态空间分析了一个多准则临界分类,确定了描述项目临界的六个可行准则。分析方法基于决策树,决策树代表节点定义的标准。此外,采用层次分析法求解决策树不同节点上的多准则决策问题。该方法是在一个研究项目中开发的,并与一家工业公司合作,根据实际库存和交易数据对备件进行评估。因此,5万件物品中有15万件可归类为适合中央仓储。
Today an efficient warehouse and inventory management of spare parts for production machinery is essential for service organizations. Optimal strategies in procurement, stocking and supply play an important role for serviceability in spare parts management. In this context, individual item criticality should be considered, which describes how crucial a spare part is. This paper presents a three-dimensional classification approach for spare parts regarding a cross-plant central warehouse strategy of a service network. The approach uses two dimensions to estimate value and predictability of spare parts with aid of an ABC and XYZ analysis. The third dimension VED analyses a multi-criteria criticality classification and six feasible criteria are identified to describe item criticality. The methodology of the analysis is based on a decision tree, which represents the defined criteria by nodes. In addition, the analytic hierarchy process is used to solve the multi-criteria decision problems at the different nodes of the decision tree. The approach is developed in a research project and evaluation of spare parts is performed based on real inventory and transaction data in cooperation with an industrial company. As a result 15,000 out of 50,000 items could be classified as suitable for central warehousing.
DOI: --
发表时间: 2013
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