Inventory management for spare parts

Syntetos, Aris A. and Boylan, John (2004) Inventory management for spare parts. In: Proceedings of the 2nd World Conference on POM and 15th Annual POM Conference. World Conference on Production and Operations Management . UNSPECIFIED, MEX.

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Abstract

Intermittent demand patterns are very difficult to forecast and subsequently manage regarding stock and they are, most commonly, associated with spare parts’ requirements. The purpose of this paper is to assess the empirical “stock control” performance of intermittent demand estimation procedures. The forecasting methods considered are the simple exponential smoothing, simple moving average, Croston’s method and a new method recently developed by the authors of this paper. We first discuss the nature of the empirical demand data set (3,000 Stock Keeping Units, Automotive Industry) and we specify the stock control model to be used for experimentation purposes. Technical simulation details are then presented to allow for replication of our results and performance measures are carefully selected to report Customer Service Level and stock volume differences. The empirical results demonstrate the superior stock control performance of the new intermittent demand forecasting method

Item Type:
Contribution in Book/Report/Proceedings
Subjects:
ID Code:
73133
Deposited By:
Deposited On:
02 Mar 2015 12:51
Refereed?:
Yes
Published?:
Published
Last Modified:
13 Jan 2020 00:48