Design of Experiments (DOE) is a three-day course that begins with first principles and operational definitions. We use a parameter diagram to graphically describe the variables, for example, which knobs are controllable and which knobs we must treat as noise factors.
The quality statistics review considers the importance of process stability and process capability in interpreting results of experimentation. Understanding variation is one of four key concepts Dr. Deming codified into his system of profound knowledge, so we'll follow his leadership, specifically his focus on analytic statistical studies. Measurement systems analysis studies are used to assess the appropriateness of a measurement process prior to that process being used in experimentation. Then we consider Weibull analysis, to understand behavior of distributions, and to assess whether the resulting distribution comes from one or more sets of causal factors.
Knowledge gained will guide us to revise the problem statement, and derive hypotheses to test. We'll consider experimental strategies and designs. We'll study highlights from two classic texts, Statistics for Experimenters (Box, Hunter & Hunter, 1977) and Statistical Problem Solving (Bajaria & Copp, 1991). This class prepares you to experiment successfully.
Key Course Objectives:
- Operationally Definite Meaning
- Creating a P Diagram
- Quality Statistics Review
- Profound Knowledge of a System
- Measurement Uncertainty
- Weibull Analysis
- Hypothesis Testing
- Experimental Strategies
- Statistics for Experimenters
- Statistical Problem Solving
- Explicitly Identify Input and Output Variables
- Complete the Plan, Do, Check, Act Cycle
- Select an Experimental Strategy
- Develop Hypotheses
- Execute an Experiment
- Analyze Experimental Results
- Identify Recommended Actions
|Mark A. Morris has more than 30 years experience in tooling and manufacturing as a skilled machinist, toolmaker, college instructor, technical writer, and quality professional in roles from Quality Engineer to Director of Continuous Improvement. His expertise lies in dimensional issues, reliability, maintainability, and quality systems. Mr. Morris' credentials include undergraduate degrees focused on manufacturing engineering, industrial education, and metalworking; Master of Education degree from the College of Technology at Bowling Green State University; CQE, CRE, and CQA certifications from the American Society for Quality; and Senior Level Geometric Dimensioning and Tolerancing Professional (GDTP) certification from the American Society of Mechanical Engineers. Mr. Morris also has served as Education Chair for the Ann Arbor section of ASQ, teaching candidates to become ASQ Certified Quality Engineers. He presently serves as Chair of the Ann Arbor section of ASQ and as Adjunct Faculty for Eastern Michigan University.