Intermittent demand forecasting for spare parts: A Critical review

被引:36
作者
Pince, Cerag [1 ]
Turrini, Laura [2 ]
Meissner, Joern [3 ]
机构
[1] Loyola Univ, Quinlan Sch Business, 16 E Pearson St, Chicago, IL 60611 USA
[2] EBS Business Sch, Burgstr 5, D-65375 Oestrich Winkel, Germany
[3] Kuehne Logist Univ, Groer Grasbrook 17, D-20457 Hamburg, Germany
来源
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE | 2021年 / 105卷
关键词
Spare parts; Intermittent demand; Forecasting; Inventory control; INTEGRATING MANAGEMENT JUDGMENT; STOCK CONTROL PERFORMANCE; INVENTORY CONTROL; LUMPY DEMAND; ACCURACY; INFORMATION; AGGREGATION; SYSTEM; RISK; SLOW;
D O I
10.1016/j.omega.2021.102513
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Spare parts demand forecasting has received considerable attention over the last fifty years as it is a challenging problem for many companies. This paper provides a critical review and quantitative analysis of the current literature on spare parts demand forecasting methods. First, we describe how different research streams in the literature have developed over time and review each stream extensively. Then, by gleaning information from the available studies, we carry out a quantitative analysis to provide granular insights into why and when a particular forecasting method should be preferred. (C) 2021 The Authors. Published by Elsevier Ltd.
引用
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页数:30
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