Themes
  • Greenhouse gas management
  • Industry 4.0
  • Internet of Things
  • Optimization
  • Reverse Logistics
Amount granted
$15 000

Description

The coffee-making process generates large quantities of coffee grounds. CGS is often disposed of as general garbage and transported to landfill sites, producing methane, a greenhouse gas 25 times more potent than carbon dioxide. Consequently, an efficient waste management system based on the circular economy and the recovery of its waste avoids high operating costs and emissions by reducing unnecessary collection trips and long haul journeys. This proposal sets out a vision for an intelligent waste management framework that uses real-time data and makes decisions accordingly. The decision, via decision support tools, includes a flexible design and configuration of a reverse logistics network and an intelligent vehicle routing system to decide when to send the truck for collection and which route to take. This new system will prevent bin overflow and waste contamination, and reduce operating costs.

Affiliated research axes

Axis 2: Planning Optimization

2.4 – Plan and optimize the production of products and delivery of services in the context of the circular economy

Axis 3: Resource and Product Maximization

3.1 – Map the knowledge and potential of product circularization
3.3 – Identify models for product circularization strategies

Member(s)

  • Armin Jabbarzadeh

    Professor
  • Amin Chaabane

    Professor
  • Lokman Sboui

    Ph.D. Assistant professor

Collaborators

Ali Sabaghpourfard

Department of IT Operation Air Canada Vacation

Samih Said

Afmerica Technology inc.

Hanieh Zohourfazeli

ÉTS

Mohamed Amine Drissi Oudghiri

ÉTS
The RRECQ is supported by the Fonds de recherche du Québec.
Fonds de recherche - Québec