主题: Mitigating the “Black Holes”: Periodic Repair and Maintenance Problem of Shared Bikes

题目： 缓解“黑洞效应”：共享单车周期性维修与维护问题

时间： 2026年1月6日下午14:30-15:30

地点：管理科研楼第一教室

主讲人： Chengcheng Yu, Postdoc Fellow, Hong Kong Polytechnic University

 Bio: Chengcheng Yu is a Postdoc Fellow at The Hong Kong Polytechnic University. He received his Ph.D. in Management Science and Engineering from the University of Science and Technology of China in 2025. His research focuses on data-driven optimization for urban transportation and shared mobility systems. His work is under major revision at Production and Operations Management and European Journal of Operational Research, and has appeared in Omega.

Abstract: This paper addresses a periodic repair problem for shared bikes that incorporates uncertain failure rates andadditional covariate information. We conceptualize a physical landscape resembling black holes in cosmologyto represent locations with exceptionally high failure rates. To mitigate this “black hole” effect, we introducetwo special strategies: dedicated repair periods and preventive maintenance. We propose a scenario-wisedistributionally robust periodic repair model, linearizing the nonlinear penalty cost using a linear decisionrule technique without losing optimization quality. To manage nonlinearity in repair periods, we develop acustomized iterative constraint generation approach. This reformulates the master problem as a tractablemixed-integer second-order cone program, while the subproblem is efficiently addressed using two analyticalresults: a threshold policy for preventive maintenance and convexity properties for the repair period. Areal-world case study validates the effectiveness of our approach and offers valuable managerial insights.Interestingly, the two strategies reduce regional disparities in penalty costs, helping to mitigate the blackhole effect, as evidenced by the Gini coefficient in a generalized multi-region system.