Research
IEOR researchers investigate the latest mathematical tools, approaches, and methodologies to make new theoretical discoveries and innovations that touch nearly every industry, making them more efficient and profitable in areas such as supply chain, logistics, manufacturing, data science, energy systems, robotics, and management.
Selected Publications
Smart “Predict, then Optimize”
Adam N. Elmachtoub, Paul Grigas. Smart “Predict, then Optimize”. Management Science, forthcoming. https://arxiv.org/abs/1710.08005
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 Digital. Interfaces.
Sharing demand-side energy resources – A conceptual design
Qi, Wei & Shen, Bo & Zhang, Hongcai & Shen, Zuo-Jun Max, 2017. “Sharing demand-side energy resources – A conceptual design,” Energy, Elsevier, vol. 135(C), pages 455-465.
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.
Scalable Unit Commitment with AC Power Flow via Semidefinite Programming Relaxation
Ramtin Madani, Alper Atamturk and Ali Davoudi. “Scalable Unit Commitment with AC Power Flow via Semidefinite Programming Relaxation“. BCOL Research Report 17.03, IEOR, University of California-Berkeley.