报告摘要：
We present a comprehensive maintenance strategy for service systems by integrating condition-based maintenance (CBM) with queueing theory. The proposed strategy leverages real-time deterioration data to optimize server performance and reliability while balancing the costs of maintaining standby equipment and ordering new components.
We develop an integrated maintenance model based on an M/M/1 queueing system, simulating performance degradation using condition monitoring data. This model determines the optimal reordering state for critical server equipment. Extensive numerical analyses validate its effectiveness, and a sensitivity analysis identifies key factors affecting cost and profitability.
Key contributions include: 1) An integrated system model combining CBM and queueing theory to optimize maintenance strategies; 2) A computationally efficient Markov chain-based model that reduces complexity while maintaining accuracy; 3) Explicit formulas for performance metrics such as server availability, system reliability, and reorder lead time.
嘉宾简介：
Prof. Zhaotong Lian is a professor at the Faculty of Business Administration, University of Macau. Prof. Lian received his Ph.D in Operations Management from Hong Kong University of Science and Technology. His research interests are Stochastic Models, Business Analytics, Supply Chain and Service Management. He has published many research papers in outstanding journals, including Operations Research, Production and Operations Management, Mathematics of Operations Research, Naval Research and Logistics, etc.
