Route planning and optimization of metal waste collection and transport

The growing amounts of metal waste being transported and recycled is a challenging problem. This research project aims to build efficient daily vehicle routes of the reverse logistics problem and collecting metal waste form different points in order to minimize total costs under multiple operational constraints. The reverse logistics vehicle routing problem which combines a pick-up problem with additional constraints such as loading pick-up sequences, time-windows, multi-trips, heterogeneous internal fleet, and the classical vehicle routing problem (VRP). An efficient heuristic will be developed to construct routes and assign the supply sources to truck routes to solve large and real-size instances in a reasonable amount of time.

Faculty Supervisor:

Amin Chaabane

Student:

Partner:

JITISoft Inc

Discipline:

Engineering

Sector:

Sustainability & the Environment; Technology; Transportation (excluding aerospace)

University:

École de technologie supérieure

Program: