Training Dates: August 26, 27, September 9, 10, 23 and 24; 8 a.m.- 12:30 p.m. 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 24-hour course will gain a firm…

This course takes place over four half-day sessions. Training Dates are August 3, 4, 10 and 11, 8 a.m. – 12:30 p.m. 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…

Training Dates: 8 a.m. – 12:30 p.m. on July 15-16, 29-30; August 19-20; Sept. 2-3, 16-17, 30; Oct. 1, 14-15, 28-29; Nov. 4-5 and 8:30 a.m. – 5:00 p.m. on Nov 18. Participants 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…

Training Dates: July 8, 9, 22 and 23;  8:00 a.m. – 12:30 p.m. Overview: This 16-hour course provides an introduction to analyzing common business and industrial data. 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.…

This course takes place over two half-day sessions. Training Dates are June 21 and 22; 8 a.m. – 12:30 p.m. This 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…