Here is a list of upcoming/developing events. Note that they may change so see our Newsletter (infolettre) for updates.
Raymond Dyer, Program chair.
If you have any topics you would like to see us present in the future, please contact me. Most of the Section leadership team is on LinkedIn.
We look forward to seeing you there.
— Soon —
Presentation of Study Case: an important KPI was optimized to meet target with minimal variance, using DMAIC and predictive data modeling.
This presentation will be based on a recent case study: Implementation of an automated recommender system to proactively readjust the chemical characteristics of a critical process feed stream when there is a process upset. The steps to implement operator tools to achieve this task will be described: selection of variables, building the soft-sensor model, and elaboration of tools and guidelines to decide the minimalistic process adjustments (heuristic rules and formal optimization solver). Recommendations to ensure the success of those types of projects will be shared with the audience.
About our speakers:
Vincent Béchard, Associate, Analytical Decision Specialist. Since 2004, Vincent has been acting as an analytical decision-making consultant in the areas of modelling, simulation, and optimization of industrial operations. He delivers computer solutions and services to resolve bottlenecks and increase performance and assets utilization. His skills are based on statistics and data science, exploratory and predictive analytics, machine learning, Monte-Carlo and discrete event simulation, mathematical optimization, and Lean Six Sigma.
Dominic St-Onge, P.Eng., MBA. Dominic has nearly 20 years of experience in the pulp and paper industry as process engineer, superintendent, operational excellence leader and technical representative. He has worked on paper machines, various pulping processes and chemical applications. Among other things, he participated in major projects involving plant conversions. Since 2015, he has used his Black Belt training for the application of Lean Six Sigma processes along with statistical knowledge to bring technical problem solving to another level. Integrating DMAIC, advanced statistics and technical understanding of processes represents an interesting package for the development of successful solutions relating to predictive modelling.
Your participation will be worth 0.5 ASQ RU (Recertification Units).
For more information on this upcoming event, see our Newsletter or myASQ.