Duration
2 days
OVERVIEW
Increasing productivity and improving quality are important goals in any business. The methods for determining how to increase productivity and improve quality are evolving. They have changed from costly and time-consuming trial-and-error searchs to the powerful, elegant, and cost-effective statistical methods.
Design of Experiment (DOE), one of the tools in the engineering and manufactuing toolbox, is a very useful statistical techniques enables engineer to determine simultaneously the individual and interactive effects of many factors that could affect the output results. DOE also provides a full insight of interaction between design elements; therefore, it helps turn any standard design into a robust design.
At the end of the program, the participants will:
- Appreciate the power of DOE in process optimization.
- Select the optimum operating condition for a process.
- Apply the effect of main factors and interactions to improve products Quality, Productivity and Reduce Cost of Production.
- Perform a most efficient and effective experiment to study the behavior of a process. Also able to perform the experiment in the appropriate sequence.
Module 1: General Introduction.
- Definition of Quality
- Definition of Cost of Quality
- Quality Improvement
- Robust Design
Module 2: Conducting Design of Experiment
- Definition
- Conducting Design of Experiment
- Define Problems and Goal
- Choice of Factors, Levels and Response
- Design the Experiment
- Run the Experiment, Collect Data
- Analyze Data
- Validation
- Optimization
Module 3: Factorial Design
- One Factor At A Time
- Factorial Design
- Main Effect
- Interaction Effect
- Probability Plot.
- Interaction Plot.
- ANOVA
Module 4: Factional Factorial Design
- Introduction to Factional Factorial Design
- Alias
- Resolution
Module 5: Conclusion
- Case studies
- Proper steps to perform effective DOE
- Q & A
Course Methodology
This course will be conducted in Lectures, Real Life Application Examples, Exercises and Case Studies.
Who should attend
All R&D Managers, Engineers and Executives who need to use DOE to optimize their design, products and process performance.
Programme scope, delivery arrangements and suitability are confirmed during enquiry.