DYNAMIC MODELLING AND SIMULATION OF MILITARY AIRCRAFT MAINTENANCE SYSTEM

碩士 === 南華大學 === 管理科學研究所 === 95 ===   Advanced technology military equipment is a key factor to achieve victory in a war. For the Air Force, military aircraft is one of the most important assets. In order to ensure military aircraft mission readiness, developing a perfect maintenance system is cruc...

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Bibliographic Details
Main Authors: Wei-hsin Wang, 王維新
Other Authors: Chun-hsiung Lan
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/pg7wvk
Description
Summary:碩士 === 南華大學 === 管理科學研究所 === 95 ===   Advanced technology military equipment is a key factor to achieve victory in a war. For the Air Force, military aircraft is one of the most important assets. In order to ensure military aircraft mission readiness, developing a perfect maintenance system is crucial. Hence, how to deal with the complicated problems affecting mission readiness is one of the most challenging issues. This research applies the System Dynamics to establish a Military Aircraft Maintenance System (MAMS). MAMS system behavior simulation can be used to assess the applicability of current military aircraft maintenance systems, establish reference parameters of safe material stock levels, preplan an effective foundation of maintenance manpower, and obtain an adequate budget level. MAMS’ vast systems parameter simulation capabilities can aid in determining key factors which influence the military aircraft availability.     The model established by this research achieved dynamic balance by utilizing system simulation and considering current military aircraft maintenance systems. By adjusting the decision-making parameters, the system can forecast if military aircraft availability meets the operational mission requirements. In addition, sensitivity analysis can be used to obtain the decisive threshold value influencing malfunction rate, and also forecast the development of military aircraft essential for logistics planning. Hence, the model proposed by this research is capable of exploring dynamic system behavior accurately and effectively, making it a viable decision making support tool in project management.