Shuai Zhang

Shuai Zhang

  • Management Science
  • PhD Program
  • Student
  • Tags:
  • phd

Contact Information

Office: DSB A210
Phone: 905-525-9140 ext. 20083

Shuai joined the PhD program (Management Science) at the DeGroote School of Business in September 2017. His research interests include vehicle routing and dispatching problem, heuristics and meta-heuristics.

SupervisorKai Huang

  • M.Sc., University of Manitoba, Winnipeg, Canada
  • M.Eng., Nankai University, Tianjin, China
  • B.Sc., Qingdao University, Qingdao, China
  • B.Econ., Qingdao University, Qingdao, China

Teaching experience:
Commerce 40T3 Fall 2020

Book Chapter

  • Zhang, S., Zhang, W., Gajpal, Y., & Appadoo, S. S. (2019). Ant Colony Algorithm for Routing Alternate Fuel Vehicles in Multi-depot Vehicle Routing Problem. In Decision Science in Action (pp. 251-260). Springer, Singapore.

Journal Papers

  • Zhang, S., Gajpal, Y., Appadoo, S. S., & Abdulkader, M. M. S. (2018). Electric vehicle routing problem with recharging stations for minimizing energy consumption. International Journal of Production Economics, 203, 404-413.
  • Zhang, S., Gajpal, Y., & Appadoo, S. S. (2017). A meta-heuristic for capacitated green vehicle routing problem. Annals of Operations Research, 1-19.
  • Gajpal, Y., Abdulkader, M. M. S., Zhang, S., & Appadoo, S. S. (2017). Optimizing garbage collection vehicle routing problem with alternative fuel-powered vehicles. Optimization, 66(11), 1851-1862.

Conference Presentations

  • Zhang S. and Gajpal Y., (2016) Two-phase Heuristic Approach for Capacitated Green Vehicle Routing Problem, “2016 Administrative Sciences Association of Canada (ASAC) Conference, Edmonton, Canada, June 4-7, 2016
  • Zhang S. and Gajpal Y., (2017) Pollution Routing Problem with Electric Vehicle, “2017 Administrative Sciences Association of Canada (ASAC) Conference, Montreal, Canada, May 28-31, 2016