This course serves as a broad introduction to designed experiments including fractional factorial (screening experiments) and response surface studies. It further teaches you to perform one type of designed experiment called a screening experiment. A screening experiment is a systematic approach to identifying the key input parameters of a process or product that affect the output performance. You will become proficient at designing, analyzing and interpreting screening experiments by working three real-life problems. Using Minitab, you will determine the correct experimental design plan and analysis approach for the problems presented. You will then generate and analyze the data and interpret the results. Use of the software allows the course to concentrate on the strategies and interpretation of designed experiments rather than the mathematics.
Finally, through a series of case studies, you will develop an appreciation for other types of designed experiments including response surface studies and Taguchi methods. This will prepare you for participating on a team running one of these other types of experiments. Much of the material is from the book Optimization & Variation Reduction in Quality.
It shows how this tool fits in the Robust Tolerance Analysis process for setting specifications as described in STAT-11, Statistical Techniques for Setting Specifications, of the book Statistical Procedures for the Medical Device Industry as well as how it fits into the Six Sigma Improvement and Six Sigma Design processes.
This course is designed for those managers, engineers and scientist responsible for developing or improving products and processes. No previous exposure to designed experiments is required. The student should be familiar with such statistical concepts as the normal distribution and standard deviations.
What You Will Learn
- The advantages of using experimental design over trial and error methods
- How to design a screening experiment using the software provided in the class
- How to analyze a screening experiment using the software provided in the class
- How to interpret the results and optimize the output performance of a process or product
- About other types of designed experiments and be capable of serving on a team responsible for designing such a study
- SPC Review and Exercise 1: RF Heat Sealer
- Principles of Screening Experiments
- Designing a Screening Experiment
- Analyzing a Screening Experiment and Exercise 2: RF Heat Sealer Revisited
- Special Design Topics
- Running a Screening Experiment
- Special Analysis Topics and Exercise 3: Sonic Sealer
- Uses of Screening Experiments and Exercise 4: Flo-Former
The course generally uses the Minitab software package but can incorporate other packages.
- Design of Experiments II – Response Surface Studies
- Design of Experiments III – Advanced
- Robust Tolerance Analysis
Participants receive the course manual.