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This course contains the following modules:
Data Measurement
- Types of data
- Measurement plans
- Analysis of measurement systems
- Normal distribution
- Repeatability & reproducibility tests
(R&R tests)
- Process Capability
Data Analysis
- Defining the process
- Fishbone (Ishikawa) diagrams
- FMEA
- Histograms and probability plots
- Process control charts
- CUSUM charts
- Pareto analysis
- Statistical tests
Process Improvement using Statistics
- Correlation and regression
- Statistically designed experiments
- Evolutionary design
Statistically Designed Experiments
- Statistical measures (normal distributions,
significance testing, confidence intervals, two-sample testing,
regression analysis)
- Process capability
- Designed experiments (2-level factorial
designs, non-linear designs, multiple regression, fractional factorial
designs, Hill-climbing & other evolutionary designs)
- Taguchi designs
Six Sigma for Managers
- How to define a project and set out clear
objectives based on customer requirements and the business case
- Selecting a project team, defining milestones
and project reviews
- Supporting the project through problem solving
techniques and through data driven analysis
- Controlling and auditing project progress
- Monitoring performance and assessing improvements
- Truncating and completing projects
- Documenting projects and embedding them
into ongoing practices
The Basics of Lean
- What is Lean Manufacturing?
- The business case for adopting Lean
- The principles of Lean
- Lean tools and techniques (5C, 7 wastes,
visual management, standardised work, set-up improvement, line
balance)
- Implementing Lean in the workplace
- Combining Lean and Six Sigma
For more information please contact:
Tel: +44 (0) 1295 702821
Mobile: +44 (0) 7739 981364
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