Traceability of Gaspesian Lobster via Blockchain and IoT

• Business Problem: Is it worthwhile to trace live lobsters using blockchain?
• Project Objective: Develop a simulation environment to test different traceability approaches
• Proposed Solution: Agent-based simulation with EOSIO consortium blockchain using GTS/SCOR standards
• Partners: Merinov, EOS Nation, reelyActive, Cercle-i
• SDG Impacts: Logistics simulator, blockchain simulator, various feasibility analyses from technical and managerial perspectives
• Professors: Luis Santa-Eulalia (UdeS), Kaiwen Zhang (ÉTS)

Assessment and Forecasting of GHG Emissions from Intraport Trucking Using Simulation

• Business Problem: Lack of inventory and forecasting of GHG balance to support informed decision-making toward carbon neutrality.
• Project Objective: Develop a GHG emissions estimation model and integrate it into a simulation model for forecasting GHG emissions in prospective freight flow scenarios.
• Proposed Solution: Real-time traceability data analytics for trucking (internal network of Wi-Fi and Bluetooth sensors), GHG emissions model, discrete-event simulation.
• Partners: Trois-Rivières Port Authority with data from Smart Traffic Solutions.
• SDG Impacts: Training of HQP, decision-support tool for achieving a smart and carbon-neutral port.
• Professors and Students: Afef Lagha, Bechir Ben Daya, and Jean-François Audy.