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
The Stochastic Sequential Assignment Problem with Arrivals
R. Righter, “The Stochastic Sequential Assignment Problem with Arrivals,” Probability in the Engineering and Informational Sciences, 2011.
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.
Superhuman Performance of Surgical Tasks by Robots using Iterative Learning from Human-Guided Demonstrations
Superhuman Performance of Surgical Tasks by Robots using Iterative Learning from Human-Guided Demonstrations. Jur van den Berg, Stephen Miller, Daniel Duckworth, Humphrey Hu, Andrew Wan, Xiao-Yu Fu, Ken Goldberg, Pieter Abbeel. IEEE International Conference on Robotics and Automation (ICRA). Anchorage, AL. May 2010.
An Economic Analysis of Wind Energy Harvest
Atamturk, Alper & Lai, Jane & Richartz, Leon & Li, Huijie & Gu, Kevin. (2009). An Economic Analysis of Wind Energy Harvest. 1 – 5. 10.1109/APPEEC.2009.4918131.
Optimal Production Policies with Multistage Stochastic Leadtimes
J.-H. Kim, H.-S. Ahn and R. Righter, “Optimal Production Policies with Multistage Stochastic Leadtimes,” Probability in the Engineering and Informational Sciences, vol. 23, pp. 515-543, 2009.