Application of Artificial Intelligence for a Computerized Maintenance Scheduling System
نویسندگان
چکیده
This paper describes how the MTR Corporation of Hong Kong made use of Artificial Intelligence (AI) and Web 2.0 technology to computerize and streamline daily maintenance scheduling. The application is called the Engineering Works and Traffic Information Management System (ETMS), an intelligent workflow system for maintenance scheduling. ETMS oversees over a thousand workers for railway maintenance and project work each night. The “AI Engine” within ETMS helps streamline the entire planning, scheduling and dynamic rescheduling process for daily, weekly and quarterly plans. It automatically detects conflicts, optimize resource utilization and maximize amount of engineering work that can be performed. The main objective is to leverage upon advanced technologies to maximize the quality of passenger train service provided by MTR.
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