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Skip to Search Results- 7Lefsrud, Lianne (Chemical and Materials Engineering)
- 3Macciotta, Renato (Civil and Environmental Engineering)
- 1Bareither, Christopher (Civil and Environmental Engineering)
- 1Beier, Nicholas (Civil and Environmental Engineering)
- 1Ma, Yongsheng (Mechanical Engineering)
- 1McKenna, Gord (Civil and Environmental Engineering)
- 1Atsegbua, Joshua
- 1Ebrahimi, Hadiseh
- 1Esmaeeli, Nafiseh
- 1Kurian, Daniel G
- 1Munira, Umme Aulia
- 1Naef, Michelle E M
- 2Risk management
- 2machine learning
- 1Bow tie analysis
- 1Closure
- 1Construction industry--Accidents--Prevention
- 1Construction industry--Safety measures
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Analyzing the risks associated with railway transportation of hazardous materials and developing process models for railway incidents with high potential for release using machine learning and data analytics
DownloadSpring 2023
The Canadian economy relies heavily on its transportation network. It supports hundreds of thousands of jobs, contributes billions to the economy, and facilitates the movement of goods within the country as well as internationally. Railways provide affordable and efficient transportation to over...
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Critical Analysis of Train Occurrences in Canada through Process Safety Techniques and Safety Risk Model Approach
DownloadSpring 2023
Canada’s national rail network is the third-largest in the world, playing a vital role in moving goods and people across the country. Rail transportation transfers $320 billion worth of goods and over 100 million passengers annually. Although railway activities are beneficial to Canada’s...
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Spring 2019
According to Canadian Workers’ Compensation Boards (WCBs), there are a disturbing number of workplace injuries and fatalities every year. Literature suggests that various external factors such as economic, regulatory and social factors affect firms’, and associated industries’ safety culture....
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Machine Learning and Text Mining: A New Approach to Determine the Weather Effects on Construction Incidents
DownloadSpring 2024
In the construction industry, safety standards are not only a priority but a necessity due to the dynamic nature of the field. Workplace safety is a complex issue influenced by a variety of factors that are constantly evolving. Each incident has the potential to impact the industry's intricate...
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Risk Management for Tailings Dam Safety: Considerations for Long-term and Post-closure Timelines
DownloadFall 2022
Post-closure tailings dams are expected to remain on mine sites in perpetuity following mine closure. Combined with the lack of knowledge regarding how tailings dams will evolve over time, these long-time frames necessitate the development of risk management practices. The purpose of this...
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Taming entropy: designing, evaluating and applying decision-support systems for risk management in industrial and non-industrial settings
DownloadFall 2023
After being assigned a process fire investigation in my second year of professional practice, and later working in maintenance leadership following multiple fatality incidents, I wondered why process safety outcomes did not seem to be improving despite constant discussion and an incredible pace...
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Using Machine Learning and Keyword Analysis to Analyze Incident Reports and Reduce Risk in Oil Sands Operations
DownloadSpring 2020
Many companies maintain large databases of incident reports. Incidents that have severe consequences are analyzed in detail to prevent recurrence, while minor incidents are typically stored without any further evaluation. Especially with common incidents and those with lesser consequences,...