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Maintenance Strategies for a Queueing System with a Standby Equipment: An Integrated Approach Using Condition-Based Monitoring

Aug 8, 2025, 10:00, Room 580, Arts and Science Building

Author:Shaohui JiangEditor:Yating FengAuditor:Yang Bai 2025-08-06

Speaker: Prof. Zhaotong Lian, Faculty of Business Administration, University of Macau
Date: August 7, 2025
Time: 10:00 a.m.
Venue: Room 580, Arts and Science Building

Abstract:

This lecture presents a comprehensive maintenance strategy for service systems by integrating condition-based maintenance (CBM) with queueing theory. The proposed approach 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 maintenance model is developed based on an M/M/1 queueing system, using condition monitoring data to simulate performance degradation and determine the optimal reordering state for critical server equipment. Extensive numerical analyses validate the model’s effectiveness, and sensitivity analysis identifies key factors influencing 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 framework that reduces complexity while maintaining accuracy; and

  3) explicit formulas for evaluating performance metrics such as server availability, system reliability, and reorder lead time.

Speaker Biography:

Prof. Zhaotong Lian is a Professor 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 modeling, business analytics, supply chain management, and service operations. Prof. Lian has published extensively in top-tier journals such as Operations Research, Production and Operations Management, Mathematics of Operations Research, and Naval Research Logistics.


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