Join the Department of Industrial and Systems Engineering (ISyE) for the distinguished seminar "Automating and Optimizing: Behind Amazon's Workforce Planning Systems" with Amazon chief scientist Russell Allgor on Friday, April 14. Hear how Allgor and his team focus on using data analysis, modeling, simulation, and optimization methods to improve the efficiency of Amazon’s operations.
Hear from Amazon's chief scientist!
Join the Department of Industrial and Systems Engineering (ISyE) for the distinguished seminar "Automating and Optimizing: Behind Amazon's Workforce Planning Systems" with Amazon chief scientist Russell Allgor. Hear how Allgor and his team focus on using data analysis, modeling, simulation, and optimization methods to improve the efficiency of Amazon’s operations.
Automating and Optimizing: Behind Amazon's Workforce Planning Systems Distinguished Seminar with Russell Allgor
Friday, April 14, 2023
3:30 p.m.
Lind Hall, Room 302
Reception to follow at 4:30 p.m.
About the seminar
Amazon faces operational challenges driven by the seasonal spikes in its fulfillment and transportation networks. Workforce management is a critical enabler to manage the seasonal capacity increase. Thoughtful process design and standard work enable systematic workforce planning, and process models and optimization algorithms enable automated decisions. In addition, these systematic approaches are able to handle more complicated schedules to enable scheduling flexibility, providing more scheduling options for the hourly associates to create work schedules that best accommodate their needs.
About the speaker
Russell Allgor is the Chief Scientist for Amazon.com, where he leads a team of mathematical modeling experts. Dr. Allgor has demonstrated outstanding accomplishments in practice, management, and research of OR/MS at Amazon. He is one of the most influential scientists in the field of logistics and fulfillment systems for e-commerce.
Allgor and his team focus on using data analysis, modeling, simulation, and optimization methods to improve the efficiency of Amazon’s operations. He has focused on problems including network design and facility location, inventory planning, order assignment, equipment and process design, vehicle routing, and process control within and across facilities. Allgor has a Ph.D. in chemical engineering from the Massachussets Institute of Technology (MIT) and a bachelor of science from Princeton University. He is a member of the National Academy of Engineering and an INFORMS Fellow.
For more information, visit the ISyE Distinguished Seminar webpage.
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Department of Industrial and Systems Engineering
isye@umn.edu
