(DOE) Design of Experiments & Taguchi
Training on Design of Experiments & Taguchi
Course Duration: Three Days
Lead Faculty :
Dr. R. R. LAKHE, Director, SQMS
Ph.D. (Industrial Engineering) NITIE, B.E. (Mech), M.Tech.(Prod)., MBA, Dip. Trg. & Dev., M.A. (Socio) (Pub.Admt.), Qualified ISO 9001QMS, ISO 14001 EMS, ISO-50001 EnMS& OHSAS18001 Lead Assessor, Master Black Belt Six Sigma
INTRODUCTION
Design of Experiments is a practical adaptation of a statistical tool which enables non-statisticians to use low cost experimental methods to optimize the performance of your products and processes during development whilst using the widest possible tolerances, and to improve your yields, reduce waste and fine tune your processes during production.
This program will generate in you the confidence and give you the ability to organised and run successful experiments in your own organisation.
You will learn how to design products, which are more economic to produce, and more robust in operation, and will learn how to set up and operate processes to improve process yields and produce product characteristics at optimum values with reduced variations.
OBJECTIVES
The Power of DOE
DOE is a very powerful analytical method that can be taught to technical professionals at a very practical level, providing a cost-effective and organized approach to conducting industrial experiments:
Multiple product design and/or process variables can be studied at the same time with these efficient designs, instead of in a hit-and-miss approach, providing very reproducible results.
Due to the statistical balance of the designs, thousands of potential combinations of numerous variables (at different settings or levels) can be evaluated for the best overall combination, in a very small number of experiments.
This not only saves experimental costs, but it greatly increases the odds of identifying the hard-to-find solution to nagging quality problems.
COURSE CONTENT
Module Content
Experimental Overview –
- Why experiments?
- Application potential
- Typical results achieved
- Basic concepts
- Basis of DoE
- Choice of experimental approach
- Types of experimentation
- Taguchi quality engineering.
Experimental Basics –
- Define the process
- Establish objectives
- Define key process factors & levels
- Design & run experiments
- Analyse results
- Do confirmation run & draw conclusions
- Make proposals for future operation.
Two Level Experimentation –
- L4, L8, L12 & L16 arrays
- Interaction matrices & linear graphs
- Case studies/projects
- Parameter design.
Three Level Experimentation –
- L9, L18, L27 arrays
- Interaction matrices & linear graphs
- Case studies/projects
- Box
Evolutionary Operation (EVOP) –
- experiments during production using EVOP
- essence of EVOP
- box EVOP
- simplex EVOP
- team tasks.
Basic Blending (mixture) Designs –
- reasons for, purpose & scope
- two component mixture designs
- three component designs
- projects / case studies
- how to conduct experiments, ten step implementation guidelines.
CERTIFICATE
Participants qualifying written examination shall be awarded certificate of successful completion of the course.
WHO SHOULD ATTEND
- Technical Managers
- Quality Engineering Team
- Quality Managers
- Laboratory Personnel
- Production Managers
- Quality Management Consultant
- Engineers
- Quality Control Executives
- Metrology/Standard room personnel
- S.Q.C/ SPC Team
- Students from Engineering, Management, and Science Streams.