| Summary: | 碩士 === 長榮大學 === 經營管理研究所(在職專班) === 94 === In view of the fact that the current Republic of China Air Force material requirement forecast still does not solve the problems of logistics supply support system which cause the shortage or dead stock.
The study selects twenty different spare parts, Then input the collected data files to the SPSS statistical software to calculate the values of Mean, Standard Deviation and Variables. These figures will then using the K-S Rightness of Independent Sample to verify the probability distribution data.
The study intends to through the dynamic simulating to enable the requirement forecast to meet the requirement of the operation in order to stock the reasonable spares and support operational units actively and reach for the following achievements:
1. To increase the accuracy of the requirement prediction.
2. To enhance the precision of repair and stock calculation
3. To reduce the cost of stock management and shortened support time.
4. To increase the operational readiness of equipment.
Also, it is expected that follow-up researchers can focus on invisible costs of shortage and overstay resulted from requirement prediction. The topics of research can include verification research of integrating user and supplier’s strategic information application, risk analysis of inventory cost vs. operational readiness, inventory control and customer management mechanism between military and contractors after the performance of the Military Outsourcing and GOCO （Government Owned Contractor Operated） program.
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