2 days ( 9am – 5pm )
Who should attend:
- Those who want to know a strategy for improving their business quality.
- The importance of achieving world-class quality standards are increasingly becoming a primary concern as a business strategy.
- Statistical Design of Experiment (DOE) is a proven technique that continues to show increasing use in these industries. As the R&D function comes under increasing pressure to produce fast and more accurate results, industrial researches and engineers are turning to use this DOE tool to further improve quality and increase productivity.
- Through experimentation, changes are intentionally introduced into this process or system in order to observe their effect on the performance characteristics or response of the system or process. A statistical approach is the most efficient method for optimizing these changes.
- Using ad hoc or heuristic approach can and may be used; however the investigation becomes more efficient if it is with the same correct statistical tools.
- A clear definition of DOE is provided and its three primary objections are stated and carried through.
Participants will be able to understand the :
- Benefits of DOE
- Stages of investigation to undertake DOE practices.
- Principle of DOE and where should it be used.
- Terminology used in DOE practices
Participants will be able to determine :
- The variable (s) and their magnitude that influences the response.
- The levels of these variables.
- How to manipulate these variables to control the re-sponse.
Lecture with key points, coaching, interactive discussion
Group dynamic and exercise to ensure participants grasp the topics presented.
QC Role Play and Group Presentations
QC Tools exercise and Industrial samples are used to stimulate actual nature of failure that has taken place.
Introduction of the DOE Practices.
- DOE definition and understanding
- Understanding the benefits of DOE
- Understand the stages of investigation to undertake DOE practices
Overview of the DOE Practices.
- Understand the principles of DOE and its uses
- Understand the terminology used in DOE practices
- Basic statistic and example
Hypotheses Testing and the Decision Making Process
Probability of Error for Hypothesis Testing
- Level of confidence and consequences of a wrong decision
- Test and t Distribution definition
- One-Sample Test
Testing of Hypotheses using ANOVA
- F Test
- F Distribution