Abstract

The modern war depends on the speed, and the logistics support advantage will determine the war winner. After the Gulf war, the U.S. troops regard the advanced information technology and technology innovation as the core. The Joint Vision 2010 proposes the focused logistics (FL), Performance Based Logistics (PBL), and then leads to the US military logistics improvement's act. The Chinese Armed Force's material supplies and purchase still follows the traditional ways of thinking, and it is not like the practice of business supply chain management that has quick response. Hence, the demand of the Armed Forces can’t be acquired effectively at the right time. The purpose of this study was to provide the Armed Force's demand accuracy at the limited budget, and then purchased the optimum parts in right time and then reduced the logistic cost. This research reviewed the current Armed Force's supply chain process and then utilized PBL analysis by the System Dynamics simulation software Vensim. To evaluate the changes of the system dynamics of purchase parts delay and different scenarios in the simulate model, the simulation trend will provide important recommendations to the logistic strategies of the Ministry of National Defense (MND). The dynamic model had verified the structure test, unit consistency test, and also simulated the PBL benefit that could support the current fighter parts supply requirement and improved the purchase's efficiency. This model also supported the fighter maintenance, met the mission requirements, raised supply chain's efficiency, and then supported the fighter plane. The entirety comments of the PBL can enhance the Armed Force's purchase and maintenance acts. The PBL already reduced the total cost and enhanced the logistics support for the U.S. troop. Likewise, The Armed Force still face the manpower simplification and under the limited military funding resource. This PBL concept should be considered as the top priority for the MND's policymakers to use the military budget more effectively.

Full Text
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