June 2021
Participants in this course will learn the fundamental Lean Six Sigma philosophy and how to apply the tools and methods in their work place on a daily basis. Participants will learn how to identify improvement opportunities and be a valuable resource within Lean Six Sigma project teams led by Green Belts and Black Belts.
Find out moreThis course provides a structured guide to the process of performing an effective Failure Mode and Effects Analysis for Design and Development (DFMEA). DFMEA can be performed during design and development on products to minimize risks and future costs of new products. It is also a highly effective technique to use in planning under any quality management system standard, such as ISO 9001 and ISO 13485.
Find out moreJuly 2021
By the end of the course, participants will be able to:
- Analyze data using the most appropriate statistical methods and interpret the results.
- Use statistical graphics to display data and the results of data analysis.
- Distinguish between comparison and correlation hypotheses.
- Apply the most appropriate statistical methods to test comparison and correlation hypotheses.
- Use a leading PC-based statistical software program.
August 2021
This course introduces students to the foundations of successful project management, especially in a technology environment. Students will learn key project management concepts, then immediately apply them in a hands-on team simulation.This course approaches project management from the standpoint of managing a single, stand-alone project that is small to medium in size. It takes students through the project life cycle in the same sequence they would face when managing a real project in the workplace.
Find out moreParticipants in this 16-day duration course will learn the theory and application of tools and methods for successful completion of improvement projects in a manufacturing business environment. Tools for the application of the Six Sigma DMAIC (Define-Measure-Analyze-Improve-Control) improvement strategy will be introduced with hands-on exercises and tutorials to ensure rapid learning and knowledge retention. The training style is tell-show-do, with a strong emphasis on individual hands-on exercises and team-based activities. Training workbooks are comprehensive, self-contained, and serve as excellent references for learning and review. Classroom training sessions are interspersed with periods of work on actual company-supported improvement projects.
Find out moreOctober 2021
Two key goals of a quality management system are to find the root causes of actual and/or potential problems in order to develop and implement permanent solutions that are accepted, efficient, and effective. This 1-day workshop will show how to use root cause analysis tools and methods to find the underlying causes of problems that impact an organizations operations and profitability. You will also learn the methodology to address corrective actions. This workshop is perfect for the novice or for those desiring an invigorating refresher.
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The key to improving process performance is the ability to understand, control and reduce variation. In this workshop, participants will learn how the monitoring and analysis tools of SPC can be used to achieve that goal. Going beyond the mere mechanics of SPC, this workshop will also guide participants through the steps needed to define a process and determine proper measurement techniques so that the right control chart is used in the right place at the right time.
Find out moreDecember 2021
Today’s highly competitive environment leaves no time for trial and error. Design of Experiments (DOE): Introduction provides a structured method for determining the relationship between factors affecting a process and the output of that process. With this information, you can quickly develop the optimum balance between factors leading to dramatic improvements in quality, cost, and productivity. Participants in this 16-hour course will gain a firm understanding of the statistical concepts and basic principles underlying Design of Experiments.
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