Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice
Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice
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DOI：
10.1016/j.omega.2011.06.008
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发表时间：
2012-12-01
影响因子：
6.9
通讯作者：
Saccani, Nicola
中科院分区：
文献类型：
--
作者：
Bacchetti, Andrea;Saccani, Nicola
本文探讨了备件管理的研究和实践之间的差距，具体参考耐用品给私人或专业客户。本文提供了一个关键的文献回顾的理论贡献备件分类和需求预测的库存控制。十个案例研究的讨论，然后，允许分析这种差距的原因，通过解决文献中开发的模型的局限性，上下文因素的作用和成熟的公司的备件管理实践。提出了四个主要的研究方向，以弥合差距，即：开发集成的方法来备件管理，以确定基于偶然性的管理方针，有利于知识积累过程中的公司，并补充理论模型与实际相关性。(C)2011爱思唯尔有限公司保留所有权利。
This paper investigates the gap between research and practice in spare parts management, with specific reference to durable goods addressed to private or professional customers. The paper provides a critical literature review of theoretical contributions about spare parts classification and demand forecasting for stock control. The discussion of ten case studies, then, allows to analyze the reasons for this gap, by addressing the limitations of models developed in literature, the role of contextual factors and the maturity in companies' spare parts management practices. Four main directions for research are proposed in order to bridge the gap, namely: to develop integrated approaches to spare parts management; to define contingency-based managerial guidelines, to favor the knowledge accumulation process in companies, and to supplement theoretical models with practical relevance. (C) 2011 Elsevier Ltd. All rights reserved.