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Research

Research Interests

Xiao-Lin Wang is interested in applying data analytics, stochastic modeling, and optimization techniques to solve maintenance planning, warranty analytics, and operations management problems. Currently, he is working on i) predictive maintenance for complex systems based on data intelligence; and ii) warranty-oriented engineering, operations, and marketing decision-makings (e.g., maintenance optimization, field reliability monitoring, warranty reserve planning, spare parts management, and warranty contract design and pricing).

Selected publications

Journal Papers
Conference Papers
Working Papers​​​
  • Xiaoge Zhang, Xiao-Lin Wang, Indranil Bose, Fenglei Fan, Yiu-Ming Cheung (2023) Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge,  European Journal of Operational Research, under 2nd round review.
  • Jianyu Xu, Miao Song, Xiao-Lin Wang (2023) An Online State-Dependent Successive Elimination Algorithm for Rested Bandits, Management Science, under major revision. 
  • Xiao-Lin Wang, Shizhe Peng*, Xiaoge Zhang, Jianyu Xu (2023) Spare parts provisioning with installed base information: An integrated forecasting and stocking approach, International Journal of Production Research, under review. 
  • Peng Liu, Guanjun Wang, Xiao-Lin Wang* (2024) Classical Periodic Replacement Policy Revisited: An Operational Statistics Perspective, IISE Transactions, under review.  
  • Xiao-Lin Wang, Xiaoge Zhang* (2024) Price Competition in an Oligopolistic Extended Warranty Market, IISE Transactions, under preparation.  
  • Zan Li, Chengjie Wang, Xiao-Lin Wang, Jianyu Xu (2024) Bayesian Reliability Acceptance Sampling Optimization via Prior Information, European Journal of Operational Research, under preparation.  
  • Xiao-Lin Wang, Junjie Wang* (2024) Design and Pricing of Extended Warranty Menus with Reference Effects, European Journal of Operational Research, under preparation.  
* Corresponding author

Just a sample of my work. To see more or discuss possible work >>

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