Supply Chain Systems
Research in the supply chain systems explores the effective and efficient production and flow of goods and services in supply chains. Supply chain management is one of the core and influential areas within industrial engineering and operations research, and UC Berkeley IEOR faculty members are some of the world's leading supply chain management experts. Researchers in the department are actively exploring a variety of approaches to integrating and optimizing various operational, tactical, and strategic decisions in large-scale supply chains, and are developing techniques to help managers deal with the uncertainty inherent in the real world.
Faculty
Selected Publications
Partner with a Third-Party Delivery Service or Not? — a Prediction-and-Decision Tool for Restaurants Facing Takeout Demand Surges During a Pandemic
Jia, Huiwen and Shen, Siqian and Garcıa, Jorge Alberto Ramırez and Shi, Cong, Partner with a Third-Party Delivery Service or Not? — a Prediction-and-Decision Tool for Restaurants Facing Takeout Demand Surges During a Pandemic (November 18, 2020). Available at SSRN: https://ssrn.com/abstract=3734018 or http://dx.doi.org/10.2139/ssrn.3734018
Dynamic pricing and matching in ride-hailing platforms
Yan, Chiwei & Zhu, Helin & Korolko, Nikita & Woodard, Dawn. (2019). Dynamic pricing and matching in ride‐hailing platforms. Naval Research Logistics (NRL). 67. 10.1002/nav.21872.
A Dynamic Model for Airline Fleeting and Scheduling
Yan, Chiwei & Ghate, Archis. (2022). A Dynamic Model for Airline Fleeting and Scheduling. SSRN Electronic Journal. 10.2139/ssrn.4197493.
Dynamic Pricing with External Information and Inventory Constraint
Li, Xiaocheng & Zheng, Zeyu. (2019). Dynamic Pricing with External Information and Inventory Constraint. SSRN Electronic Journal. 10.2139/ssrn.3458662.
Selecting support pillars in underground mines with ore veins
(2020) Selecting support pillars in underground mines with ore veins, IISE Transactions, 52:10, 1173-1188, DOI: 10.1080/24725854.2019.1699978
Reliable Hub Location Model for Air Transportation Networks Under Random Disruptions
H Shen, Y Liang, ZJM Shen (2019). Reliable Hub Location Model for Air Transportation Networks under Random Disruptions. To appear in Manufacturing & Service Operations Management. https://doi.org/10.1287/msom.2019.0845.
Centralized and Decentralized Warehouse Logistics Collaboration
DING AND P. KAMINSKY. 2019.Centralized and Decentralized Warehouse Logistics Collaboration.Manufacturing & Service Operations Management. Extended version available here
Product Sourcing and Distribution Strategies under Supply Disruption and Recall Risks
Long He, Ying Rong, Zuo‐Jun Max Shen, “Product Sourcing and Distribution Strategies under Supply Disruption and Recall Risks“, 2019 Production and Operations Management Society.
A two-step gradient estimation approach for setting supply chain operating parameters
KAMINSKY AND S. LIU. 2018.A Two-Step Gradient Estimation Approach to for Setting Supply Chain Operating Parameters. Computers & Operations Research 92, pp. 98-110
Robust Shortest Path Problem with Distributional Uncertainty
Y. Zhang, S. Song, Z.J.M. Shen (2017). Robust Shortest Path Problem with Distributional Uncertainty. IEEE Transactions on Intelligent Transportation Systems, 2017, Available online: 10.1109/TITS.2017.2709798.