Article ID: | iaor20082662 |
Country: | United Kingdom |
Volume: | 58 |
Issue: | 6 |
Start Page Number: | 714 |
End Page Number: | 719 |
Publication Date: | Jun 2007 |
Journal: | Journal of the Operational Research Society |
Authors: | Sohn S.Y., Yoon K.B. |
Keywords: | inventory, maintenance, repair & replacement, forecasting: applications, statistics: regression |
A fundamental aspect of inventory management of fighter aircraft is to forecast the demand of minor parts installed in the main module. Most of the existing inventory models do not take into account the time-varying characteristics of modules composed of minor parts even though the demand rate of minor parts is sensitive to the conditions of module. In this paper, we propose random-effects regression models to forecast the mean time between failure (MTBF) of modules and the expected demand for the minor parts in the module based on time-varying characteristics of modules. Subsequently, we show how they can be applied to find necessary seasonal demand of minor parts. Our study is expected to contribute to ROKAF (Republic of Korea Air Force) in terms of providing base information for inventory policy for minor parts.