Cong Shi - Research
Research Interests
Supply Chain Management, Revenue Management, Service Operations
Approximation Algorithms, Online Learning Algorithms, Algorithmic Game Theory
Working Papers
Tailored Base-Surge Policies in Dual-Sourcing Inventory Systems with Demand Learning, Beryl Chen, Cong Shi
Personalized Hospital Admission Control: A Contextual Learning Approach, Mohammad Zhalechian, Esmaeil Keyvanshokooh, Cong Shi, Mark P. Van Oyen
Network Revenue Management with Online Inverse Batch Gradient Descent Method, Yiwei Chen, Cong Shi
Near-Optimal Pricing Policy for Service Systems with Reusable Resources and Forward-Looking Customers, Yiwei Chen, Cong Shi
Integrating Empirical Estimation and Assortment Personalization for E-Commerce: A Consider-then-Choose Model, Maggie Li, Xiang Liu, Yan Huang, Cong Shi, Cheng Hua
Finalist, The 2018 MSOM Data Driven Research Challenge, 2018.
Under Revision
Marrying Stochastic Gradient Descent with Bandits: Learning Algorithms for Inventory Systems with Fixed Costs, Hao Yuan, Qi Luo, Cong Shi, Major Revision at Management Science.
Finalist, INFORMS Applied Probability Society (APS) Best Student Paper Competition, 2019.
IOE Murty Prize for Best Student Paper on Optimization, 2019.
Optimal Learning Algorithms for Stochastic Inventory Systems with Random Capacities, Weidong Chen, Cong Shi, Izak Duenyas, Major Revision at Production and Operations Management.
Nonparametric Learning Algorithms for Joint Pricing and Inventory Control with Lost-Sales and Censored Demand, Beryl Chen, Xiuli Chao, Cong Shi, Minor Revision at Mathematics of Operations Research.
Journal Publications
Strategic Capacity Planning Problems in Revenue Sharing Joint Ventures, R. Levi, G. Perakis, C. Shi, W. Sun, Production and Operations Management, to appear.
Online Advance Scheduling with Overtime: A Primal-Dual Approach, E. Keyvanshokooh, C. Shi, M. P. Van Oyen, Manufacturing & Service Operations Management, to appear.
IOE Wilson Prize for Best Student Paper on Manufacturing and Service Systems, 2019.
Closing the Gap: A Learning Algorithm for the Lost-Sales Inventory System with Lead Times, H. Zhang, X. Chao, C. Shi, Management Science, to appear. [DOI]
Joint Pricing and Inventory Management with Strategic Customers, Y. Chen, C. Shi, Operations Research, to appear.
Third Place, INFORMS Junior Faculty Interest Group (JFIG) Paper Competition, 2017.
Process Flexibility for Multi-Period Production Systems, C. Shi, Y. Wei, Y. Zhong, Operations Research, Vol. 67(5), 1300-1320, 2019. [DOI]
Service Level Constrained Inventory Systems, Y. Jiang, C. Shi, S. Shen, Production and Operations Management, Vol. 28(9), 2365-2389, 2019. [DOI]
Perishable Inventory Systems: Convexity Results for Base-Stock Policies and Learning Algorithms under Censored Demand, H. Zhang, X. Chao, C. Shi, Operations Research, Vol. 66(5), 1276-1286, 2018. [DOI]
Approximation Algorithms for Capacitated Perishable Inventory Systems with Positive Lead Times, X. Chao, X. Gong, C. Shi, C. Yang, H. Zhang, S. X. Zhou, Management Science, Vol. 64(11), 5038-5061, 2018. [DOI]
Revenue Management of Reusable Resources with Advanced Reservations, Y. Chen, R. Levi, C. Shi, Production and Operations Management, Vol. 26(5), 836-859, 2017. [DOI]
Production Planning Problems with Joint Service-Level Guarantee: A Computational Study, Y. Jiang, J. Xu, S. Shen, C. Shi, International Journal of Production Research, Vol. 55(1), 38-58, 2017. [DOI]
Priority Rules for Multi-Task Due-Date Scheduling under Varying Processing Costs, Y. Xu, C. Shi, I. Duenyas, Production and Operations Management, Vol. 25(12), 2086-2102, 2016. [DOI]
Stochastic Regret Minimization for Revenue Management Problems with Nonstationary Demands, H. Zhang, C. Shi, C. Qin, C. Hua, Naval Research Logistics, Vol. 63(6), 433-448, 2016.[DOI]
Approximation Algorithms for Inventory Problems with Submodular or Routing Costs, V. Nagarajan, C. Shi, Mathematical Programming Series A, Vol. 160(1), 225-244, 2016. [DOI]
A Data-Driven Approach to Manpower Planning at U.S.-Canada Border Crossings, M. Yu, Y. Ding, R. Lindsey, C. Shi, Transportation Research Part A, Vol. 91, 34-47, 2016. [DOI]
Approximation Algorithms for Perishable Inventory Systems with Setup Costs, H. Zhang, C. Shi, X. Chao, Operations Research, Vol. 64(2), 432-440, 2016. [DOI]
Nonparametric Data-Driven Algorithms for Multiproduct Inventory Systems with Censored Demand, C. Shi, W. Chen, I. Duenyas, Operations Research, Vol. 64(2), 362-370, 2016. [DOI]
Approximation Algorithms for Perishable Inventory Systems, X. Chao, X. Gong, C. Shi, H. Zhang, Operations Research, Vol. 63(3), 585-601, 2015. [DOI]
A Faster Algorithm for the Resource Allocation Problem with Convex Cost Functions, C. Shi, H. Zhang, C. Qin, Journal of Discrete Algorithms, Vol. 34, 137-146, 2015. [DOI]
Approximation Algorithms for Capacitated Stochastic Inventory Systems with Setup Costs, C. Shi, H. Zhang, X. Chao, R. Levi, Naval Research Logistics, Vol. 61(4), 304-319, 2014. [DOI]
Approximation Algorithms for the Stochastic Lot-Sizing Problem with Order Lead Times, R. Levi, C. Shi, Operations Research, Vol. 61(3), 593-602, 2013. [DOI]
First Place, INFORMS George Nicholson Student Paper Competition, 2009.
Refereed Conference Proceedings
Joint Pricing and Inventory Management with Strategic Customers, Y. Chen, C. Shi, Proceedings of the 18th ACM Conference on Economics and Computation (EC’17), 2017, Cambridge, MA.
Approximation Algorithms for Capacitated Perishable Inventory Systems with Positive Lead Times, X. Chao, X. Gong, C. Shi, C. Yang, H. Zhang, S. X. Zhou, MSOM Supply Chain Management SIG Conference, 2016, Auckland, New Zealand.
Refereed Book Chapter
Approximation Algorithms for Stochastic Optimization Problems in Operations Management, Encyclopedia of Operations Research and Management Science (edited by J. J. Cochran), Wiley, Hoboken, NJ.
Editorial Service
Senior Editor, Production and Operations Management, 2019–
Associate Editor, IISE Transactions, 2017–
Associate Editor, Operations Research Letters, 2015–
External Grants
NSF CMMI-1362619 (Co-PI), NSF CMMI-1451078 (PI), NSF CMMI-1634505 (PI).