We are very happy to announce a distinguished talk of Professor Dr. Michel Gendreau: “Crowd-shipping under Uncertainty: Models, Solution Approaches, and Compensation Issues”on the 10th of November (Thursday) at 12:00 pm in Room 017 (ITZ).
In this talk, we consider the situation of a crowd-shipping platform that must fulfill delivery requests from a central depot with a fleet of professional vehicles and a pool of crowd drivers. The supply (number) of crowd drivers is uncertain. We thus propose stochastic programming models for two variants of the problem: one in which we consider a single pool of drivers and one in which the territory served by the platform is divided into geographical sectors and drivers are characterized by their destination sector. Exact solution approaches are provided in each case. We also examine drivers’ compensation issues. We assume that drivers can accept or reject routes and that the probability of route acceptance is dependent on the compensation offered. We determine the market equilibrium when the stochastic route acceptance of crowd-drivers is considered.
The talk of Prof. Gendreau starts this year’s Brown Bag series in “Recent Developments in Data Science”. You can find more information about the talk in this announcement.