Abstract
This dissertation examines the development of a maintenance management system for the hoisting system at Millennium Tower, a high-rise building currently operating with only one functional elevator out of six and two escalators. The rapid stopping of the elevator is caused by a lack of protection from fluctuations in power, which damages the operation card brake line system, which works in conjunction with the door sensor, magnet level, and magnetic switch. These factors led to the poor operation of the car lift, with the rapid breakdown of the equipment being the primary issue. The methodologies employed included a literature review and a questionnaire, as well as data analysis tools such as SPSS, Excel, and C++ programming, to develop a maintenance management system. The study identifies the key factors affecting performance by analysing maintenance performance data, internal logs, maintenance history, and survey results supported by a literature review and questionnaire. The maintenance management model was formulated using data analysis tools, including Excel and SPSS, to enhance the system's availability and performance. Finally, the study builds upon the developed model of a comprehensive maintenance management system designed to enhance hoisting system performance. This new maintenance management system incorporates advanced predictive maintenance strategies, real-time monitoring, and data analytics to optimise maintenance schedules and enhance system reliability. The effectiveness of this system was tested through simulations and practical applications, revealing notable improvements in operational efficiency and reductions in downtime. Hence, a hoisting maintenance management system was recommended to improve the availability performance of the hoisting system.
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