• Journal of the Korean Society for Aviation and Aeronautics
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• v.26 no.4
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• pp.101-109
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• 2018

In order to predict the future needs of the aircraft repair parts, each military group develops and applies various techniques to their characteristics. However, the aircraft and the equipped weapon systems are becoming increasingly advanced, and there is a problem in improving the hit rate by applying the existing demand prediction technique due to the change of the aircraft condition according to the long term operation of the aircraft. In this study, we propose a new prediction model based on the conventional time-series analysis technique to improve the prediction accuracy of aircraft repair parts by using machine learning model. And we show the most effective predictive method by demonstrating the change of hit rate based on actual data.

• Journal of the military operations research society of Korea
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• v.34 no.2
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• pp.79-101
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• 2008

This study is for improvement of repair part demand forecasting method of Republic of Korea Air Force aircraft. Recently, demand prediction methods are Weighted moving average, Linear moving average, Trend analysis, Simple exponential smoothing, Linear exponential smoothing. But these use fixed weight and moving average range. Also, NORS(Not Operationally Ready upply) is increasing. Recommended method of Box-Jenkins' ARIMA can solve problems of these method and improve estimate accuracy. To compare recent prediction method and ARIMA that use mean squared error(MSE) is reacted sensitively in change of error. ARIMA has high accuracy than existing forecasting method. If apply this method of study in other several Items, can prove demand forecast Capability.

• Journal of the military operations research society of Korea
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• v.32 no.2
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• pp.40-55
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• 2006

The objective of this paper is to provide an introductory scheme of Supply Chain Management(SCM) for the Air Force logistics support system. To accomplish our goal, we analyzed the successful example of the military logistics reform based on SCM in the United States, after we observed the concept and concerning methods of SCM. The introductory scheme of SCM was specifically provided on the transportation system and material information system of the aircraft repair parts, which are considered important in the Air Force logistics support system. The Air Force will be able to raise the complete mission supportability through the construction of an innovative logistics support system, which is low in cost and efficient, based on state of the art information and communication technology.