Competences and hands-on approach to manage Projects.
The Lean Six Sigma Green Belt course is intended to train people capable of leading Lean Six Sigma projects, having the following skills and responsibilities:
- Basic knowledge of Lean Six Sigma tools and techniques
- Basic knowledge of software for statistical data management
- Leadership role on small scale projects, supervised by a Lean Black Belt
- Part-time commitment on projects
Program
A highly customized Lean Six Sigma training program with a hands-on approach.
Training program details:
- Online Welcome Assessment. This assessment is intended to assess the initial level of knowledge of Lean Six Sigma tools and techniques and thus to customize lessons accordingly
- Training Sessions (11 modules – 8 training hours per module)
- Certification:
- Final Test: 100 multiple choice questions including theory and exercises
- Project Work submission
Tutoring program details:
- In-house and remote Lean Six Sigma Projects tutoring
Detailed Program
Introduction to Six Sigma
- QM introduction: background – TQM – Lean – Six Sigma
- Six Sigma introduction: DMAIC DFSS (DMADV)
- Six Sigma introduction: roadmaps, roles and key players
Define
- From the Voice of the Customer to the project
- Project Charter: appropriate and effective project documentation
- Introduction to operative and economic metrics to measure the project
- CTQ: CTQB, CTQ, CTT …
- Six Sigma metrics: from % to PPM and DPMO
- Processes mapping: VSM, SIPOC and technological diagram
- Stratification and clustering: the right approach to deal with data
- Pareto analysis and Juran approach for problem setting
Presentation and discussion of a real case study of Project Charter implementation in a paper mill organization *
Measure
- How to plan an effective data gathering: Data Collection Plan
- What characteristic to monitor
- Statistical basics and its industrial use
- Statistical dispersion and central tendency measurement
- Effective graphical data presentation: histograms, scatterplots, Boxplot, runcharts
- Normal distribution and its industrial utilization
- Process capability: Cp, Cpk, Pp, Ppk
- Process performance KPIs
- Confidence interval
- Sampling and sample sizing
- Measurement System Analysis: the tolerancing problem in measurement processes
- Gauge R&R and the importance of reliability for measures in KPIs dashboards
Presentation and discussion of a real case study about Capability Problem *
Analyse
- The Qualitative and Quantitative approach to support decision
- C&E Analysis with Ishikawa and C&E Matrix
- Root causes: 5Ws, 4Ws+H
- Hypothesis Tests and their appropriate use
- Contingency Table (crosstab)
- Correlation and regression analysis
Presentation and discussion of a real case study about problem setting and analysis tools and techniques DoE*
Improve
- How to set solutions for improvement: DoE basics
- DoE implementation to experimental planning for industrial use
- Developing and interpreting full-factorial DoE
- Innovative solutions generation: convergent and divergent thinking introduction
- Operative methodologies to rank and select solutions
Presentation and discussion of a real case study about DoE implementation in testing *
Control
- Control phase: basics and introductive approach to a correct and knowledge-based use
- Control Charts fundamentals
- Control and reactions plans
- Statistical Process Control basics
- Control Charts: introduction to variable data and attributes and their features
- Construction of control charts for continuous data
Presentation and discussion of a real case study about : Control Charts and Reaction Plan *
* Case Studies are introduced and discussed during the training sessions
Certification requirements
In order to earn the certification is required to:
1. Attend at least 80% of all scheduled training sessions
3. Pass the Final Online Test
2. Submit a final Project Work
Request for information
Please contact us for next training session
CONVENZIONE CON CONFINDUSTRIA EMILIA CENTRO
informazioni
