• Decision support
  • Industry 4.0
  • Internet of Things
  • Optimization
  • Remanufacturing
  • Strategic planning
  • Supply chain
Amount granted


With the increasing importance of environmental issues and the growing global economy, companies are looking to transform their supply chain operations into a circular economy. The main objective of this project is to present a data-driven optimization approach and decision support tool enabling the sustainable design of closed-loop supply chains (CLSCs) using Industry 4.0 technologies for a circular economy. The proposed approach can simultaneously integrate the economic, environmental and social dimensions of sustainability when designing (CLSC). It also benefits from data collection throughout the product life cycle to determine the most optimal treatments to be applied after product recovery. The application of the proposed developments will be examined using real data from a case study.

Affiliated research axes

Axis 2: Planning Optimization

2.1 – Support the development and use of tools to analyze and monitor the circular economy
2.2 – Develop indicators to measure circularity
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

3.2 – Develop a conceptual framework of tools that may be mobilized to identify better circularization scenarios for products, components and resources at the end of their life cycles
3.3 – Identify models for product circularization strategies



Hashem Omrani

Urmia University of Technology (Iran)

Seyed Zeinab Aliahmadi

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