INFORMS Open Forum

Systems Analytics Global Leaders' Seminars: Online Seminar by Professor Ming Hu (May 5, Wed)

  • 1.  Systems Analytics Global Leaders' Seminars: Online Seminar by Professor Ming Hu (May 5, Wed)

    Posted 05-02-2021 23:11
      |   view attached

    Dear colleagues and friends,

    It is our great honor to have Professor Ming Hu deliver the coming seminar on May 5 Wed 21:00 (HKT UTC +8) / 09:00 (EDT UTC -4). The details of the seminar follow this message and are presented on the attached poster.

    For the upcoming seminars, please visit the website: For news and announcements, you are welcome to subscribe to the seminar series through the web link.

    We are looking forward to seeing you.



    Ming Hu
    Distinguished Professor of Business Operations and Analytics,
    Rotman School of Management, University of Toronto

    Editor-in-Chief, Naval Research Logistics

    Date and time: May 5 (Wed), 2021, 21:00 HKT (GMT+8)  [Local time]
    Zoom link:       Zoom meeting ID: 939 6553 3071


    Seminar title:
    Several Queueing Models in On-Demand Economy

    This presentation will discuss several queueing models motivated by the recent applications in the on-demand economy, such as ride-hailing, ride-sharing, and on-demand food delivery. In those settings, queueing models are built to capture spatial movements of servers such as vehicles and food-delivery couriers and temporal waiting by riders for cars or others who are willing to share a ride. These models are used to explain how to alleviate the "wild goose chase" problem in ride-hailing, how to dispatch and route food-delivery couriers when eaters can balk, and how to incentivize individual riders to choose the socially optimal ride-sharing options.

    Speaker bio:
    Ming Hu is the University of Toronto Distinguished Professor of Business Operations and Analytics and a professor of operations management at the Rotman School. His recent research has focused on operations management in the context of the sharing economy, social buying, crowdfunding, crowdsourcing, and two-sided markets, to make full use of operational decisions to benefit society. For further details, please visit

    Yong-Hong Kuo
    Assistant Professor
    The University of Hong Kong
    Pokfulam Road