a. Statistical Learning in Operations
Hedging the Drift: Learning to Optimize under Non-Stationarity. Management Science—Special Issue on Data-Driven Prescriptive Analytics.. 2020.
Multi-Modal Dynamic Pricing. Management Science.. 2020.
Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses. Management Science.. 2020.
A Statistical Learning Approach to Personalization in Revenue Management. Management Science.. 2020.
Dynamic Pricing (and Assortment) under a Static Calendar. Management Science.. 2020.
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. ICML 2020.. 2020.
Learning to Optimize under Non-Stationarity. AISTATS 2019.. 2019.
Sampling-based Approximation Schemes for Capacitated Stochastic Inventory Control Models. Mathematics of Operations Research.. 2019.
Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-Dependent Competitive Ratios. Operations Research.. 2019.
Dynamic Learning and Pricing with Model Misspecification. Management Science.. 2019.
Online Network Revenue Management using Thompson Sampling. Operations Research. 66(6). 2018.
The Lingering of Gradients: How to Reuse Gradients Over Time. NeurIPS 2018. (31). 2018.
Uplift Modeling with Multiple Treatments and General Response Types. SIAM Data Mining 2017.. 2017.
Dynamic Pricing and Demand Learning with Limited Price Experimentation. Operations Research. 65(6). 2017.
Analytics for an Online Retailer: Demand Forecasting and Price Optimization. Manufacturing and Service Operations Management. 18(1). 2016.
Robust Stochastic Lot-Sizing by Means of Histograms. Production and Operations Management. 22. 2013.
Dynamic Inventory Allocation with Demand Learning for Seasonal Goods. Production and Operations Management, Special Issue to Honor Professor Hau Lee, Editor Christopher S. Tang.. 2020.
Reaping the Beneﬁts of Bundling under High Production Costs. To appear in Proceedings of the 24nd International Conference on Artiﬁcial Intelligence and Statistics, AISTATS... 2021.
Meta Dynamic Pricing: Transfer Learning Across Experiments. Management Science—Special Issue on Data-Driven Prescriptive Analytics.. 2021.
On-line Assortment Optimization with Reusable Resources. Management Science.. 2021.
Privacy-Preserving Dynamic Personalized Pricing with Demand Learning. Management Science.. 2021.
Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective. COLT 2021.. 2021.
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability. Mathematics of Operations Research.. 2021.
Data-Driven Approximation Schemes for Joint Pricing and Inventory Control Models. Management Science.. 2021.
Dynamic Pricing and Inventory Control with Fixed Ordering Cost and Incomplete Demand Information. Management Science.. 2021.
Online Learning and Optimization for Revenue Management Problems with Add-on Discounts. Management Science.. 2021.
Inventory Balancing with Online Learning. Management Science.. 2021.
Online Pricing with Offline Data: Phase Transition and Inverse Square Law. Management Science.. 2021.
Distributionally Robust Linear and Discrete Optimization with Marginals. Operations Research.. 2021.
Offline Pricing and Demand Learning with Censored Data. Management Science.. 2021.
Design and Analysis of Switchback Experiments. Management Science.. 2022.
Estimating and Exploiting the Impact of Photo Layout: A Structural Approach. Management Science.. 2022.
Phase Transitions in Bandits with Switching Constraints. Management Science.. 2022.
Calibrating Sales Forecast in a Pandemic Using Competitive Online Non-Parametric Regression. Management Science.. 2022.
Bandits atop Reinforcement Learning: Tackling Online Inventory Models with Cyclic Demands. Management Science.. 2022.
A Simple and Optimal Policy Design with Safety against Heavy-tailed Risk for Multi-armed Bandits. NeurIPS 2022.. 2022.
Learning Mixed Multinomial Logits with Provable Guarantees. NeurIPS 2022.. 2022.
Assortment Planning for Recommendations at Checkout under Inventory Constraints. Mathematics of Operations Research.. 2023.
Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism. Management Science.. 2023.
b. Supply Chain: Flexibility
Increasing Supply Chain Robustness Through Process Flexibility and Inventory. Production and Operations Management. 27(8). 2018.
Worst-case Analysis of Process Flexibility Designs. Operations Research. 63(1). 2014.
Understanding the Performance of the Long Chain and Sparse Designs in Process Flexibility. Operations Research. 60. 2012.
c. Supply Chain: Risk Management
Designing Response Supply Chain against Bioattacks. Operations Research.. 2019.
Disruption Risk Mitigation in Supply Chains - The Risk Exposure Index Revisited. Operations Research.. 2018.
Analyzing Process Flexibility: A Distribution-free Approach with Partial Expectations.. Operations Research Letters. 44(3). 2016.
Identifying Risks and Mitigating Disruptions in the Automotive Supply Chain. Interfaces. 45(5). 2015.
From Superstorms to Factory Fires: Managing Unpredictable Supply Chain Disruptions. Harvard Business Review.. 2014.
d. Inventory-Pricing Optimization
Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Continuous Review Model. Operations Research Letters. 36. 2006.
Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Finite Horizon Case. Operations Research. 52. 2004.
Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Infinite Horizon Case. Mathematics of Operations Research. 29. 2004.
e. Inventory Management
A Fully Polynomial Time Approximation Scheme for Single-item Stochastic Lot-sizing Problems with Discrete Demand. Mathematics of Operations Research. 34. 2009.
Risk Aversion in Inventory Management. Operations Research. 55. 2007.
Performance Analysis and Evaluation of Assemble-to-Order Systems with Stochastic Sequential Lead Times. Operations Research. 54. 2006.
Inventory Placement in Acyclic Supply Chain Networks. Operations Research Letters. 36. 2006.
Trading Safety Stock for Service Response Time in Inventory Positioning. Production and Operations Management. (Special Issue in celebration of POMs 30 years). 2022.
f. Product Expiration
Drivers of Product Expiration in Consumer-Packaged Goods Retailing. Management Science.. 2018.
g. Supply Chain: Competition, Contracts and Negotiation
Supplier-Buyer Negotiation Games: Equilibrium Conditions and Supply Chain Efficiency. Production and Operations Management. 22. 2013.
Sourcing Flexiility, Spot Trading and Procurement Contract Structure. Operations Research. 59. 2011.
Competition in the Supply Option Market.. Operations Research. 57. 2009.
h. Dynamic Programming
Fully Polynomial Time Approximation Schemes for Stochastic Dynamic Programs. SIAM Journal on Discrete Mathematics. 28(4). 2014.
Analyzing Scrip Systems. Operations Research . 62(3). 2014.
i. Supply Chain: The Bullwhip Effect
Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times and Information.. Management Science. 46. 2000.
The Impact of Exponential Smoothing Forecasts on the Bullwhip Effect. Naval Research Logistics. 47. 2000.
j. Vehicle Routing Problems
On the Effectiveness of Set Covering Formulations for the Vehicle Routing Problem. Operations Research. 45. 1997.
Probabilistic Analysis and Practical Algorithms for the Vehicle Routing Problem with Time Windows. Operations Research. 44. 1996.
The New Generation of Vehicle Routing Research: Robust Algorithms Addressing Uncertainty. Operations Research. 44. 1996.
A Location Based Heuristic for General Routing Problems. Operations Research. 43. 1995.
A Game Theoretic Model of International Influenza Vaccination Coordination. Management Science. 52. 2013.
Supply Chain Coordination and Influenza Vaccination. Operations Research. 56. 2008.
Optimal Market-Making with Risk Aversion. Operations Research.. 2011.
Stock Repurchase with an Adaptive Reservation Price: A Study of the Greedy Policy. Operations Research Letters. 29. 2010.
m. Management Science
Management Science: The Legacy of the Past and Challenge of the Future. Management Science.. 2020.