IEOR - Designing a More Efficient World

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

Robert Leachman

Professor
Head Undergraduate Advisor

Rajan Udwani

Assistant Professor

Candace Yano

Professor
MS Advisor
Equity Advisor

Selected Publications

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.

Optimizing Site Qualification Across the Supply Network at Western Digital

Bo Liao, Candace Arai Yano, and Shiva Esturi. Optimizing Site Qualification Across the Supply Network at Western DigitalInterfaces.

Service Region Design for Urban Electric Vehicle Sharing Systems

90. He, L., Mak, H. Y., Rong, Y., & Shen, Z. J. M. (2017). Service region design for urban electric vehicle sharing systems. Manufacturing & Service Operations Management. https://doi.org/10.1287/msom.2016.0611.

A supply-chain optimization model of the allocation of containerized imports from Asia to the United States

Jula, Payman and Robert C. Leachman, 2011. “A Supply Chain Optimization Model for the Allocation of Containerized Imports from Asia to the United States”,Transportation Research Part E, 47 (5), p. 609-622 (September, 2011). Port_I.pdf

Improving Supply Chain Performance and Managing Risk Under Weather-Related Demand Uncertainty

Frank Youhua Chen, Candace Arai Yano. Improving Supply Chain Performance and Managing Risk Under Weather-Related Demand Uncertainty”Management Science.