June 4-6, 2019 | Calgary, AB
Camille Peres, Associate Professor, Environmental and Occupational Health at Texas A&M University

Camille Peres

Associate Professor, Environmental and Occupational Health
Texas A&M University

Check out the incredible speaker line-up to see who will be joining Camille.

Download The Latest Agenda

Pre-Conference Workshops: June 4, 2019

Tuesday, June 4th, 2019

8:30 AM Workshop C: Human Factors and Procedure Management: Increasing reliability with next generation procedures

This workshop will take you through the tools available for next generation procedure management and will discuss why many current procedure management programs can be enhanced to provide the possibility of continuous improvement feedback, high compliance, simple authoring and use/edit tracking all with the end goal of pursuing operational excellence. Topics covered will be:
• Human factors associated with accidents, how to minimize them
• The procedure lifecycle, how to increase feedback and review efficiency
• The importance of content architecture to best to define content requirements, deliver effective training and facilitate procedural
content as tactical implementation for your OpEx strategy.
• Insight into procedure classification, review procedure best practices, minimize disruption, and track use and improvements to reduce risk and improve profitability
• Close with what you can do tomorrow to your operating procedures towards the next generation of operational excellence

Main Conference Day One: June 5,2019

Wednesday, June 5th, 2019

11:15 AM Effects of Time Pressure and Experience on Procedural Performance: Can we use Machine Learning to predict this?

Well-written procedures can be an integral part of safe operation, managing risks, and continuous improvement in the high-risk settings of process industries. Although the importance of procedures is recognized by all industries in general, significant incidents have occurred in past due to procedural systems not being designed to support human performance. This presentation will share results from a series of studies investigating the effects of time pressure and experience on procedural performance. Further, findings regarding how machine learning may be able to facilitate the translation of Human Factors research to specific design criteria for procedures and procedural systems. Potential applications of these findings will be discussed.