U-M IOE researchers discovered that a restaurant can benefit from partnering with third-party delivery services if at least one of five conditions applies to them.
Siqian Shen
Do Third-Party Delivery Services Benefit Restaurants?
Mark Daskin and other IOE faculty, recognized at IISE conference
U-M IOE faculty members, Professor Mark Daskin, Associate Professor Ruiwei Jiang, and Associate Professor Siqian Shen were recognized with awards and honors by the Institute for Industrial and Systems Engineering (IISE). Daskin recognized with IISE’s highest honor, the Frank and Lillian Gilbreth Industrial Engineering Award.
Siqian Shen receives NSF funding for transportation system redesign
U-M IOE associate professor, Siqian Shen, has received funding from the National Science Foundation (NSF) for research on redesigning transportation for a post-pandemic world.
The science behind campus bus changes during COVID-19
Engineers used smoke machines, physics-based modeling and route optimization algorithms to quantify risk.
How big data could optimize COVID-19 testing
Microsoft-supported project to coordinate site locations, supply distribution.
How much coronavirus testing is enough? States could learn from retailers as they ramp up
To control the coronavirus spread, the U.S. needs to get the most value out of the limited testing capacity it has.
Tackling COVID-19 problems with industrial engineering
Lessons learned from optimizing retail could help optimize our COVID-19 response.
Logistics during COVID-19: Researcher creates an operations model cheat sheet
A University of Michigan engineering researcher has pulled together a cheat sheet.
Siqian Shen receives funding from Ford to design integrated ridesharing and goods delivery system
U-M IOE associate professor, Siqian Shen, has received research funding from Ford to explore how mathematical optimization and operations research approaches can improve services that integrate ridesharing with goods delivery.
U-M receives U.S. Department of Transportation funding to reduce urban traffic congestion
Three U-M engineers receive funding from USDOT Center for Connected Automated Transportation (CCAT) for a two-year collaborative research project that aims to reduce traffic congestion.
