The research group offers a wide range of seminars, training and other consulting services to aid organizations seeking methods for improving the quality and productivity of their current working environment. Tailoring our services to the unique needs of an individual group helps ensure immediate relevance and cost effectiveness. Whenever practical, we incorporate job related projects into each seminar to encourage even more rapid implementation of quality concepts and methods. Feedback from our clients demonstrates that significant improvements and savings have been generated for their companies as a result.
Courses
We offer the following courses taught by University of Waterloo faculty. Please contact Nathaniel Stevens for further details.
Please note that most courses are conducted in-house. Please contact the Research Group for further information and prices.
Statistical Engineering (Six Sigma for Improving Existing Processes) Online Course
This course is an online version of our three-day in-house Statistical Engineering course. It covers all the material in our book Statistical Engineering: An algorithm for reducing variation in manufacturing processes.
Statistical Engineering is a combination of statistical strategies and tools carefully selected to efficiently solve chronic problems in high to medium volume manufacturing. Statistical Engineering attempts to exploit observational data from your existing process to "home-in" on the root cause of problems. The course provides a holistic approach to process improvement that emphasizes the connections between the stages of our improvement algorithm and integrates Statistical Engineering, Six Sigma, Shainin methods, and the Taguchi approach.
In this online course, you will learn via videos, slides and the extensive use of Watfactory, a rich and realistic virtual manufacturing process. With Watfactory you will “learn by doing” (see the linked article) and complete a process improvement project where you will reduce variation in a critical output in Watfactory.
Self-paced course. You will have access to the Statistical Engineering book, course videos and slides, Watfactory and instructor feedback for a period of three months.
Statistical Engineering (3-day course)
Statistical engineering is a combination of statistical strategies and tools carefully selected to efficiently solve chronic problems in high-volume manufacturing. Statistical engineering attempts to exploit observational data from your existing process to "home-in" on the root cause of problems.
Design of Experiments (2 or 3 day course)
A designed experiment is a special type of process study that involves changing one or more process characteristics to investigate their effects.
Forecasting in Quality/Productivity Improvement (2-day course)
Forecasting plays a central role in business decision-making. Accurate forecasts are needed when making decisions about investments, resource allocations, schedules and inventory levels.
Introduction To Data mining (2-day course)
More and more companies have enormous databases that may contain undiscovered but useful information. Data Mining is the search for this information using statistical models and computational techniques. This one-day course will illustrate the state of the art, using real data from direct marketing, drug discovery and industrial control problems.