Publications

Below are selected publications in the areas that I have been working on. Please refer to my CV or Google Scholar page for the complete publication list.

• J. Liu, M. Teng, W. Chen, H. Xiong (2023) A Cost-Effective Sequential Route Recommender System for Taxi Drivers. INFORMS Journal on Computing, 35(5): 1098–1119.
• W. Chen*, S. Gao, W. Chen, J. Du (2023) Optimizing Resource Allocation in Service Systems via Simulation: A Bayesian Formulation. Production and Operations Management, 32(1): 65–81.
• W. Chen*, G. Kumcu, B. Melamed, A. Baveja (2023) Managing Resource Allocation for the Recruitment Stocking Problem. Omega, 120: 102912.
• J. Tao, H. Dai, W. Chen and H. Jiang (2023) The Value of Personalized Dispatch in O2O On-Demand Delivery Services. European Journal of Operational Research, 304(3): 1022–1035.
  • Received the first prize paper award at the 22nd Annual Meeting of the China Society of Logistics
• T. Wu, C. Zhang, W. Chen, Z. Liang and X. Zhang (2022) Unsupervised Learning-Driven Matheuristic for Production-Distribution Problems. Transportation Science, 56(6): 1677–1702.
• J. Liu, W. Chen, J. Yang, H. Xiong, C. Chen (2022) Iterative Prediction-and-Optimization for E-logistics Distribution Network Design. INFORMS Journal on Computing, 34(2): 769–789.
• I. Dmitry, B. Sokolov, W. Chen*, A. Dolgui, F. Werner, S. Potryasaev (2021) A Control Approach to Scheduling Flexibly Configurable Jobs with Dynamic Structural-Logical Constraints. IISE Transactions, 53(1): 21–38.
  • Received the IISE Transactions 2022 Design & Manufacturing Best Paper Award
• C. Zhang, H. Guan, Y. Yuan, W. Chen, T. Wu (2020) Machine Learning-Driven Algorithms for the Container Relocation Problem. Transportation Research Part B: Methodological, 139: 102–131.
• Z. Shi, S. Gao, H. Xiao, W. Chen (2019) A Worst-Case Formulation for Constrained Ranking and Selection with Input Uncertainty. Naval Research Logistics, 66(8): 648–662.
• W. Chen*, L. Lei, Z. Wang, M. Teng, J. Liu (2018) Coordinating Supplier Selection and Project Scheduling in Resource-Constrained Construction Supply Chains. International Journal of Production Research, 56(19): 6512–6526.
• W. Chen*, B. Melamed, O. Sokolinskiy, B. Sopranzetti (2017) Cash Conversion Systems in Corporate Subsidiaries. Manufacturing & Service Operations Management, 19(4): 604–619.
• S. Gao, W. Chen, L. Shi (2017) A New Budget Allocation Framework for the Expected Opportunity Cost. Operations Research, 65(3): 787–803.
• R. Tyagi, W. Chen*, J. Black, P. Tiwari, B. Lecours, J. Shaver (2017) Transforming Electrical Load from an Operational Constraint to a Controllable Resource. Interfaces, 47(4): 292–304.
• S. Gao, H. Xiao, E. Zhou, W. Chen (2017) Robust Ranking and Selection with Optimal Computing Budget Allocation. Automatica, 81: 30–36.
• W. Chen* (2017) Sensitivity-based Nested Partitions for Solving Markov Decision Processes. Operations Research Letters, 45(5): 481–487.
• S. Gao, W. Chen (2017) A Partition-based Random Search for Stochastic Constrained Optimization via Simulation. IEEE Transactions on Automatic Control, 62(2): 740–752.
• S. Gao, W. Chen (2017) Efficient Feasibility Determination with Multiple Performance Measure Constraints. IEEE Transactions on Automatic Control, 62(1): 113–122.
• Y. Zhang, W. Chen*, R. Xu, J. Black (2016) A Cluster-based Method for Calculating Baselines for Residential Loads. IEEE Transactions on Smart Grid, 7(5): 2368–2377.
• S. Gao, W. Chen (2016) A New Budget Allocation Framework for Selecting Top Simulated Designs. IIE Transactions, 48(9): 855–863.
• S. Gao, W. Chen (2015) Efficient Subset Selection for the Expected Opportunity Cost. Automatica, 59: 19–26.
• W. Chen*, S. Gao, C.-H. Chen, L. Shi (2014) An Optimal Sample Allocation Strategy for Partition-based Random Search. IEEE Transactions on Automation Science and Engineering, 11(1), 177–186.
• W. Chen*, X. Wang, J. Petersen, R. Tyagi, J. Black (2013) Optimal Scheduling of Demand Response Events for Electric Utilities. IEEE Transactions on Smart Grid, 4(4): 2309–2319.
• W. Chen*, J. Song, L. Shi, L. Pi, P. Sun (2013) Data Mining-based Dispatching System for Solving the Local Pickup and Delivery Problem. Annals of Operations Research, 203(1): 351–370.

 (*: corresponding author)