Reliability Improvement of National Defense Equipments using Data Science Based Method－A Case of Air Defense Systems

• Main Authors: Shi-Hong You, 游士弘
• Other Authors: Jun-Der Leu
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/ged792

碩士 === 國立中央大學 === 企業管理學系在職專班 === 106 === Regarding today`s battle situation and tactical concept, the development of weapon technologies and changes of operational patterns in the world have resulted in a conclusion of “No Air Defense, No National Defense”. Air Defense System has become one of the critically advantageous weapon systems to lead the battlefield. In fact, air defense capabilities rely on the availability rate maintaining and logistics managing, for the purpose of guarding the air space and destroying the enemy thousands of miles away. The current maintenance module for national defense equipment of R.O.C. Armed Forces was established in accordance with logistical maintenance mechanism of U.S. Army. That provides for three levels - Organizational, Intermediate and Depot - and five echelons of maintenance categories, developing the replacing frequency and timeline for periodical examining items of materiel and following the utility-hour-based Time Based Preventive Maintenance (TPBM). However, for the complicatedly and precisely structural designed Air Defense System, it is hard to maintain the availability rate if failing to forecast information on malfunctioned items of systems, and to execute preventive maintaining operations. It will also significantly affect on the war fighting functions and on combat tasks execution. This research is based upon maintenance and repairing history and material consumption record of active Short Range Air Defense Systems detection module assembly, and using data science analysis, for instances Description Statistics, One-way ANOVA, Pearson Product-Moment Correlation, and Time Series Analysis, to analyze malfunction frequencies among items, their connections and priorities of causes. After that, according to the reliability analysis theory of the U.S. military weapon system, the research capture part string of assembly items and link the internet conducting reliability data analysis. Then discuss logistical efficiency and optimization model. Finally, the expectation of this research is to provide preventive maintenance standards on practices for maintainers in levels and echelons of repairing and maintenance shops for escalating system reliability through lowering repeatedly dissembling frequency and its working hours.