Boxiao (Beryl) Chen - Research

    Beryl's research interests lie in the intersection of operations management, operations research and marketing. She applies techniques from statistics, machine learning and optimization to develop data-driven algorithms for decision making. Some of her works include dynamic pricing, inventory control and supply chain management, assortment planning, retailing, energy and capacity expansion.

Under Review

Journal Publications

Other Publications

  • Robust Demand Learning

    Chen B, Nadarajah S, Jasin S

    NIPS Workshop on Safety and Robustness in Decision Making, 2019.

  • Pricing of Renewable Gasoline and Its Impact on GHG Emission Reduction Planning for Automakers and Electricity Generators

    Miao S, Fu Y, Strumolo M, Chen B, Chao X, Klampfl E, Tamor M

    SAE Technical Paper, No. 2016-01-0295, 2016.

  • Impact of Gasoline and Natural Gas Prices on Capacity Planning for Automakers and Electricity Generators under GHG Emission Constraints

    Chen B, Chao X, Fu Y, Strumolo M, Tamor M

    Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2015.

  • Investment Strategy and Capacity Planning for Automakers and Electricity Generators in a Carbon Constrained World

    Chen B, Klampfl E, Strumolo M, Tamor M, Liu Y

    Ford Technical Report, 2013.

Work in Progress

  • Multi-Item Demand Estimation with Substitution and Complementarity Effects

    With Ban GY and Benbitour MH

  • Managing Supply Chains with Infrequent Replenishments

    With Li M and Simchi-Levi D

Book Chapters

  • Joint Pricing and Inventory Control with Demand Learning

    Chen B

    The Elements of Joint Learning and Optimization in Operations Management, Springer, 2021. Edited by Chen X, Jasin S, Shi C.

  • Online Learning for Inventory and Pricing Optimization

    Chao X, Chen B, Zhang H

    Research Handbook on Inventory Management, Edward Elgar Publishing, 2021. Edited by Song JS.

Ph.D. Thesis