| dc.description.abstract | The research was conducted based on Taiwan Taoyuan International Airport MRT system, which is operated by Taoyuan Zhong MRT Co., Ltd and was built by the Railway Bureau of the Ministry of Communications. Taiwan Taoyuan International Airport MRT system is an important transportation hub and the only MRT system in Taiwan that connects the airports, different cities, and the urban areas, with a total length of 51.03 kilometers. The 51.03 km railway consists of 21 stations, from station A1 to station A21, across three cities (Taipei City, New Taipei City and Taoyuan City). and is planned to be extended to A23, A22: Laojiexi Station and A23: Zhongli Station, with express train or local train to serve the passengers. The passengers can transfer from/to Taoyuan International Airport Terminal, high-speed railway Taoyuan Station, Taipei MRT Taipei Station, Sanchong Station, New Taipei Ring Line New Taipei Industrial Park Station, etc... Therefore, using Taiwan Taoyuan International Airport MRT system for the research on “Optimization of Preventive Maintenance Schedule for Communication System” could be very useful and effective.
For usefulness and effectivity, this study shows that with the optimized model, the company’s cost can be considerably reduced. To explain, the optimized model can improve the maintenance efficiency of personnel, reduce the generation of invalid man-hours, and thereby reduce the cost. Moreover, the study examines that the optimized model can apply to various subsystems of MRT. To obtain these results, I constructed a mathematical model to construct an optimized preventive maintenance schedule with the data from the airport MRT system, used the computer package software tool LINGO 17.0 to solve the problem, and used Microsoft Excel 2019 to generate. Comparing the generated maintenance schedule with the manual schedule, the results proves that it is of great value for the decision makers to refer to. Since it can greatly reduce the company’s cost and be widely applied. | en_US |