Modeling and optimization for designing smart freight platform

This research is motivated by the need to coordinate matching and pricing decisions in resource sharing platforms. In general, matching decisions can be seen from different standpoints of shippers, carriers, and the platform. We are particularly interested in investigating the matching problem considering all standpoints simultaneously, which has not received much attention in the literature review. Furthermore, trending toward new freight procurement mechanisms managed by a third party increases the importance of applying dynamic pricing policies to respond to market fluctuations and satisfy all trading parties. This mechanism needs to valorize real-time data to provide the best price recommendation according to the market circumstances. The recommended price can facilitate the trading mechanisms and provide a balanced tradeoff between different sides of the market. This trade-off can, in turn, result in less need for negotiation in the market and more facilitated transportation service procurement mechanisms.

Faculty Supervisor:

Samira Keivanpour;Maha Ben Ali

Student:

Partner:

ShipHaul Logistics Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Transportation and warehousing

University:

Polytechnique Montréal

Program: