Abstract
This seminar presents 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.
An integrated model is developed based on an M/M/1 queueing system, where performance degradation is simulated using condition monitoring data. The model determines the optimal reorder state for critical server equipment. Extensive numerical experiments validate its effectiveness, and sensitivity analyses identify key factors affecting costs and profitability.
Key contributions include:
An integrated system model combining CBM and queueing theory to optimize maintenance strategies.
A computationally efficient Markov chain-based model that reduces complexity while maintaining accuracy.
Explicit formulas for performance metrics, including server availability, system reliability, and reorder lead time.
Speaker Bio
Professor Zhaotong Lian is a faculty member at the Faculty of Business Administration, University of Macau. He received his Ph.D. in Operations Management from the Hong Kong University of Science and Technology. His research interests include stochastic models, business analytics, supply chain management, and service management. He has published extensively in leading journals such as Operations Research, Production and Operations Management, Mathematics of Operations Research, and Naval Research Logistics.
