| Suitable for: |
This Master Class will suit anyone who needs a strong understanding of Designed Experiments and their use in Lean Six Sigma improvement and design projects. It is ideal for leaders of Lean Six Sigma project teams and Black Belts/Master Black Belts supporting them for projects where the use of Designed Experiments is likely to be required. The Master Class is an optional extension to the curriculum for Black Belts, and part of the curriculum for Master Black Belts; it is one of a number of modules available for people interested in upgrading their skills and knowledge from Black Belt to Master Black Belt level.
Delegates will fully understand the fundamental principles of factorial designs and be able to explain them to team members and leaders. They will be able to lead teams to plan and conduct experiments in the workplace, select the most appropriate design, analyse the results, assess the results to ensure that all necessary assumptions are satisfied, compensate when assumptions are not satisfied, select the best predictive model, and present the findings in clear, understandable terms. Advanced designs include more in-depth coverage of fractional factorial designs, Central Composite and Box-Behnken designs, EVOP, Mixture designs, and the general factorial design.
We strongly recommend that people attend all four days – but for those already well versed with DoE at Black Belt level could regard Day One as a DoE revision primer and elect to join the programme for Days Two through Four. |
| Duration: |
4 days – with an option to attend just the final three days
(Day One will be a DoE Essentials ‘Primer’) |
| Price: |
£1,650 per delegate (plus VAT) for all 4 days
£1,290 per delegate (plus VAT) for Days 2 - 4 |
| Book Now! |
Call + 44 (0) 845 345 2282 or email Elizabeth Wilkinson |
The course includes practical training on the structure of and tools used in Designed Experiments to the level normally required of a Master Black Belt. Through a combination of lecture, practical exercises, other media and shared experiences, delegates will become familiar with DoE. This course will be particularly relevant to manufacturing environments, but will also address the use of Designed Experiments in service/transactional ones. Each participant receives a comprehensive delegate pack.
Curriculum Outline
This course is a Master Class concentrating on the application of Designed Experiments in Lean Six Sigma Improvement and Design Projects. Topics covered in the course include:
- Review of fundamental factorial DoE principles: terms, concepts and assumptions using three-dimensional models and Black Box Process Simulators. Comparison with traditional one-factor-at-a-time approach and why this approach fails in the presence of interactions.
- Brief review of statistical concepts, principles, graphics, and techniques necessary for DoE.
- Framework for conducting designed experiments in the workplace. Review of data collection techniques, validating data, and working effectively with teams.
- Conducting, analysing, and interpreting hands-on experiments using Minitab software.
- The use of blocking, centre points, replicates, repeat measures, and randomization in experiments. Understand the role of power in experimental planning and design.
- The assumptions that underlie DoE. Use of residuals in model diagnostics. Use of transformations to help satisfy statistical assumptions.
- Evaluating the prediction model using diagnostic graphs and statistics. Selecting the best model and impact of model hierarchy.
- Modelling with multiple responses and selecting optimal factor levels.
- Fractional factorial designs and the issues of confounding and resolution.
- Introduction to fold-over and semi fold-over designs for resolving confounding issues.
- The uses of centre points in factorial designs.
- Introduction to response surface designs including Central Composite Designs and Box-Behnken designs.
- The general factorial design.
- Mixture designs with hands-on experiment.
- Evolutionary Operation (EVOP) method with hands-on experiment.
- Other types of DoE Designs – advantages and disadvantages
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