The partner uses a simple formula to estimate the percent of deck space committed on upcoming sailings. The goal of this project is to determine whether the accuracy of this calculation can be improved. The objectives of this project include understanding the data used in the % full calculation, conducting a literature review to determine how other ferry operators perform similar calculations, and performing a root cause analysis to understand cancellation behavior. Through this project, the partner organization expects to gain insights into how vessel deck space is utilized.
The Centre for Operations Excellence Industry Projects consists of eight sub-projects sponsored by four different industry partners. Each sub-project represents an important challenge for its sponsor.
The Centre for Operations Excellence Industry Projects consists of five sub-projects sponsored by four different industry partners. Each sub-project represents an important challenge for its sponsor. These sub-projects include using analytics to optimize sawmill production for Interfor; production planning for Tree Island; developing text-mining techniques to enable WorkSafeBC to predict and prevent workplace accidents; using Twitter data to enrich Boeing Canadas maintenance and operations planning tools; and performing human resources analytics to improve Boeing Canadas workforce planning.
Creating computer generated animations and visual effects (VFX) of fluids is a challenging task. The goal of this project is to design novel approaches that ease the creation of fluid simulations for VFX. Four main challenges will be tackled: the simulation of viscous fluids, the gain in geometric details of free surface fluids, the texturing of free surface fluids, and the optimization of distributed computation for fluid simulation.
Analyser et visualiser les émissions de GES dans une zone définie de la ville de Montréal. Grâce à la littérature, quantifier monétairement celles-ci et évaluer différents scénarios de réduction des émissions. Ultimement, les grands joueurs au niveau de la logistique à Montréal auront de nouvelles connaissances sur le sujet et pourront les mettre en pratique dans un but de facilité la fluidité du transport de marchandise tout en prenant compte la mobilité durable. De plus, il sera possible de mieux évaluer la rentabilité de certains projets de modification de la chaine logistique
This study will investigate the process of information technology adoption within the Canadian health care system in order to uncover the underlying promoters and barriers to technology implementation. The knowledge gained from this study will assist McKesson and other health IT companies to adjust their technologies and deployment strategies for effective technology implementation. Ultimately, more effective technology implementation will result in more efficient workflows and health are delivery.
This project aims to develop mathematical models, resolution algorithms, and a decision support tool for the development of game schedules for university sports in Quebec such as football, soccer, volleyball and basketball.
This project will develop classification models in a multi-class and multicriteria context. These models will be based in part on multicriteria decision-making support techniques and statistical learning techniques. The first stage of the project will develop and validate performance measures of the multiclass classifiers. The second stage will develop classification models based on these performance measures of multi-class classifiers as objective functions of the mathematical model. Solving this type of problem will require developing heuristics.
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