Work order Scheduling at maintenance Sites for Commercial Aircraft Fleet

The effective planning of resources when scheduling maintenance tasks and repair jobs is an enormous challenge, especially for heavy industries such as aerospace and transportation manufacturers. In such industries, because of the product complexity and variety, not to mention continuous technological improvements, a broad range of maintenance tasks and high-performance services should be done over […]

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Évaluation des expositions professionnelles dans un port : stratégies d’évaluation des expositions, développement de méthodes et validation plate

Les travailleurs des ports sont des travailleurs à risques d’être exposés à différents types de poussières et de particules, différents gaz et vapeurs ainsi que différents contaminants de type physique comme le bruit. Certaines maladies professionnelles sont d’ailleurs associées à ce milieu de travail. Les stratégies d’évaluation des expositions professionnelles sont des démarches d’hygiène du […]

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Advanced Massage Application in Automotive Seating

This research project aims to improve the comfort of automotive seating by evaluating a new vibration massage system developed by our partner company and developing a pressure sensing software that can monitor how people respond to the vibration massage system. The project will integrate the vibration system with the software and introduce additional features such […]

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Recycling of Dredged Fluvial Clays for Bricks and Pavements Production

This project aims to investigate the potential reuse of dredged materials (DMs), which are generated as waste during maintenance activities for navigable areas, in the construction field. This will help construction industry in facing the surge in demand for raw materials to produce concrete and other construction products. To tackle both challenges sustainably, this project […]

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Warehouse Automation with novel computer vision algorithms

In partnership with Antek Logistics Inc, the project will investigate how computer vision algorithms can help automate day-to-day operations in a warehouse. Novel algorithms will be developed to automatically identify and count pallets and containers within the warehouse for inventory tracking. We will also develop algorithms to detect damage severity on incoming pallets. The project […]

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Forklift localization and tracking in warehouse settings

In warehouses, it’s important to know where forklifts are for safety and efficiency. Visual SLAM is a promising approach for forklift localization and navigation for indoor applications, but current methods have problems like being slow, not understanding what they see, and being affected by changes in light. This project aims to solve these problems and […]

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Assessing the impact of pipeline construction activity on nest attendance behaviour of migratory birds.

The study’s primary goal is to understand the impact of pipeline construction on the behaviour of migratory birds. It will focus on assessing how the proximity to different construction activities, different habitats, environmental conditions and nature of construction work affect nest attendance, alertness and flushing behaviour of the migrants. Anthropogenic activities can adversely affect the […]

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Optimisation de la configuration et du déploiement d’une flotte de véhicules de service électriques

La Société de transport de Montréal (STM) souhaite électrifier sa flotte de véhicules de service (VS) d’ici 2027. Cette transition suscite divers défis pour la recharge des batteries. Contrairement aux bus thermiques, qui nécessitent un arrêt de quelques minutes, les VS électriques doivent être immobilisés pendant plusieurs heures pour une recharge. Parmi ces 500 véhicules, […]

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Inventory control of items with intermittent demand using reinforcement learning

At the Bombardier Aftermarket business unit, they’re innovating their approach to managing spare parts inventory for business aircrafts. Currently, keeping the right balance of stock is a challenge due to unpredictable demand patterns, often leading to shortages or overstocking. To tackle this, they are introducing a smart solution: using deep reinforcement learning (DRL), a type […]

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Constraints Enforcement Using the Lagrange Multipliers Method for Aeriservoelastic Applications

The ever-increasing need for better performing, safer and environmentally friendly aircrafts, necessitates the continuous refinement of the predictive tools that are employed during the design and certification phases. The field of aeroservoelasti city, which encompasses airframe flexibility, control laws and aerodynamics, is of paramount importance in the design of modern aircrafts given their increased airframe […]

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Towards an Operational Analytical Framework for Planning On-Demand Transit Services and a Case Study of MiWay

The proposed project aims to demonstrate the application of an analytical framework, developed by the team at the University of Toronto, to plan on-demand transit services in Mississauga. The analytical framework will be enhanced with an in-depth investigation of existing simulation tools with respect to their adequacy for modelling various ODT scenarios and operational designs. […]

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