Description
This training provides the approach and tools to build your experiment plan approach. In an industrial context where development times are shortening and costs must be tight, experimental plans constitute a tool of choice to optimize developments.
Who is this training for ?
For whom ?
Quality manager, project manager, engineer, designer, R&D technician, methods or industrialization. Knowledge of advanced statistical methods is recommended.
Prerequisites
None.
Training objectives
Training program
- Build the experimental plan
- Formalize the problem to be solved in 8 key steps.
- Identify, classify and select the influential parameters.
- Choose interactions effectively.
- Define the minimum number of trials.
- Develop a response model.
- Build the most suitable design: full factorial design or fractional factorial design.
- Using Taguchi tables.
- Analyze the results of the experimental design
- Response modeling.
- Effects graphs.
- Statistical exploitation of results.
- Analysis of variance.
- Relevance indicators.
- Optimize the product and its process
- Modeling the phenomenon.
- Finding the optimal combination of factors.
- Validation and improvement of the model.
- Exploit experimental plans
- Adjust the characteristics of a product.
- Find the operating point of a machine.
- Compare processes.
- Optimize the costs of developing a product.
- Conditions for success of experimental plans
- The working group.
- Carrying out the field tests.
- The associated costs and deadlines.