For a pharmaceutical company, it is important to source the finest raw materials (Active Pharmaceutical Ingredient) available at the best possible prices. With the advancement of globalization and the improvement of cross-broader trades, an increasing number of companies are reducing their acquisition costs of raw materials by sourcing globally.
Millennials are a large, tech savvy demographic that media companies are expending significant resources to connect with and market to. This project will develop a comprehensive understanding of the sport media consumption habits of Canadian Millennials, aged 18-24, using surveys and other methods being employed by researchers across the country. Understanding Millennials consumption patterns and behaviours is of paramount importance to sport media companies.
Il arrive fréquemment que les consommateurs visitent un site web plusieurs fois avant d’y effectuer une transaction et que ces visites sur le site soit générées par différentes sources (publicité, médias sociaux, favoris, courriel). Cette situation occasionne un sérieux dilemme, celui de l'attribution du crédit de la conversion (i.e., transaction sur un site). Doit-on l'associer à la dernière source de visite ou bien a la première? 50%, 50%? La diviser équitablement sur toute
The aim of this project is to research and develop tools to assess and aid the diversification of organizations in the province of Alberta. Alberta is rich in resources, both tangible and intangible. Nevertheless, the price of oil, Albertas dependence on this tangible resource and related service have skewed the Provinces investment and entrepreneurial profile. There is a call from private and public sectors to once again diversify the production and service base of the Provinces economy.
The Sustainability Toolkit has been developed to address the lack of step-by-step guidance to show organizations how develop and implement a comprehensive sustainability management plan. The Toolkit integrates globally-recognized approaches to sustainability management that can be used to manage an organizations supplier/customer sustainability requirements.
This project corresponds to a study of utilization of assets at the New Afton mine, in Kamloops, BC. With the collaboration of New Golds conglomerate and Thompson Rivers University this will collect sufficient data internally and by comparing it with publicly related information of similar companies and using statistical tools and optimization models, will provide recommendations that can be used in the whole mining sector.
With the ongoing threat of anthropogenic climate warming, understanding how stakeholders in Ontario can accelerate the adoption of electric vehicles (EVs) to maximize their environmental and economic benefits is of great importance. The large-scale adoption of EVs requires further research to understand consumer demand and social valuations. Ontario has over 5,000 EV drivers on the road that make up 32% of Canada’s total EV drivers. However, there is virtually no information about their demographic profile, where they drive or why they bought an EV.
Research and Development for Modeling the Perceived Value of Energy Consumers is a novel area of study which should help to better understand the energy consumers and the perceived value they place on different services and products. By identifying, understanding potential new products and services the related business models can be developed.
Quantifying Economic, Environmental and Social Sustainability Impacts of organizations and initiatives is challenging, particularly for the environmental and social legs. Enviro-Stewards recently introduced a shared savings based project approach in addition to its conventional (lump sum) based service approach.
This phase of the project continues on the research focus of developing intelligent control for machines using derived deep machine learning schemes. The learning algorithms to be developed will use high volume data from various processes in advanced manufacturing and other systems, combined with could based analytics, formulate complex and accurate process models of these processes. These models will then be integrated into advanced controllers that are self-optimizing and are continually updated via deep learning networks and continuous data streams machines.