First level of certification in the 6 Sigma hierarchy, the Yellow belt is in charge of piloting problem solving projects using simple statistics tools in support with Green and Black belt.
The function of the Six Sigma Yellow Belt
The Yellow belt works on smaller projects or sub-projects of Green belt projects. Generally, the budgets for the Yellow Belt projects are from 10 000 to 20 000 €.
Allocating about 20% of their time to the approach, the Yellow Belt has the role of:
- Drive Simple Problem solving projects
- Support the process in all of its work
The human qualities of the Yellow Belt
Methodical: The 6 Sigma consists of a multitude of tools that all have defined processes… and not at random. Reversing or forgetting steps can lead to the failure of the project.
Spirit of Synthesis: situations are often complex, in order to avoid getting lost in the workings of change and problem solving, hindsight and the ability to synthesize is necessary.
simplicity and pugnacity: These are attitudes often cited as essential to facilitate contact and achieve adherence to these ideas.
Perfectionist : seeking Perfection is the ultimate goal of the process and projects.
The training components of the Yellow Belt
For the levels, the scale is as follows:
- E: Expert, knows how to use and transmit
- C: Good knowledge, knows how to use
- I: understands what it is but not or little use it
Lean Six Sigma Management
Methods of operational Excellence
Understand why the company is implementing a Six Sigma approach.
Know the origin of this methodology and the history of methodologies of excellence.
Understand the principle of standard deviation, problem solving strategy X = f (Y)
Know what efficiency and the concept of bottleneck is.
Know how to position the 6 Sigma vis-a-vis the Lean, the Theory of constraints, the WCM and the agility.
C
Deploying the method
Know how to define and describe the organization of the 6 Sigma.
Know the roles and responsibilities of each person in the process.
Know how to position yourself in the organization.
I
The indicators of 6 Sigma
Be aware of the main indicators of the 6 Sigma: DPU, DPMO, cumulative aggregate yield, OPD and PPM.
I
Managing Lean 6 Sigma Projects
Know how to distinguish a complex project from a simple project and the consequences on the animation of it.
Know how to describe the concept of Go/No go at each stage of the DMAIC.
Have knowledge of the different types of team (project, Reflection…) and know how to describe the stages of its development (Orientation, dissatisfaction…).
I
Lean 6 Sigma and Finance
Understand the vocabulary of finance
Be introduced to the notion of soft and hard dollars to justify the projects.
I
Lean Way
Lean Way
Control the mindset of operational excellence approaches.
Know where they came from and in what context they appeared.
To know the basic concepts and tools of Muda, the calculation of efficiency, the PDCA/SDCA, the systems of suggestions and the concept of Gemba.
C
The fundamentals of Lean
The fundamentals of Lean
Understand the principle of standardization, its advantages and limitations, and know the first tools to implement it, such as standards, visual management and 5S.
Understand the principle of just A time (stream drawn vs. Flux pushed and the concept of Takt time). Know how to explain the interest.
I
Kaizen
Total Quality Management
Know the origin of the TQM, how to choose and use the first tools of quality through the process DMAIC (Pareto, 5M, 5W2H…).
Know the principle ofFMEA and know how to use it.
C
Problem solving
Control the mindset of problem solving and find out what is the problem-solving tool that is appropriate for the situation.
Know the basic tools of problem solving : 5 Why, 8D and Factor Tree analysis.
I
Phase Define
Customer’s voice
Know how to define the Voice Of customer and describe how customer expectations are translated into quantified and hierarchical characteristics (CTQ) through basic evaluations (ascending or descending order, basic notation and verbal expression).
To know the different techniques of the collection of expectations (interviews, survey…).
I
Definition of the project
Know the stages of the Define phase. Understand the value of the project charter and know how to interpret its contents: perimeter, basic data, SIPOC…
Know how projects are selected and planned.
Explain the interest of a communication plan via RACI, and how this contributes to the success of the project.
Understand the stakes of identifying the project’s actors and the “influential” people on the outcome of it.
I
Measure Phase
Process Analysis
Know the stakes and stages of the measure phase.
Know what the KPOV and KPIV are, and how to determine them.
C
Introduction to statistics
Know where the statistics come from, its specific terms and limitations.
Know how to describe the different types of data (qualitative, ordinal, ratio…).
C
Collect Data
Describe the critical elements of the data collection and how to describe why the quality of this compendium is essential.
Know how to describe what bias is.
I
Analyze the measurement system
Understand the issues of measuring system analysis
To know the vocabulary of the analysis (repeatability, reproducibility…) and to describe how the R & R analysis is done.
I
Describe a series of data
Know how to explain what descriptive statistics are.
Know how to calculate and interpret the parameters of the medium, the spread and the dispersion.
Know how to build and interpret distribution charts.
C
Study the capability
To understand the principle of capability and its use to analyze our measuring system and to identify the performance of an equipment.
Know how to define and distinguish the difference between the natural limits of the process and the specification limits.
I
Analysis Phase
Analyzing data
Know the principle of data analysis and the associated steps.
I
Determine relationships between data
Know how a correlation between 2 variables can be identified via a simple linear regression study.
Know how a regression study can be used to predict behaviors.
Know what the R2 is and how to check the significance of the result.
C
Advanced Data Description
Understand the principle of statistical inference.
Know what type of tools to use according to the objective of the study (estimation by Confidence interval, hypothesis Test, regression).
Know how to distinguish between normal and binomial data and the issue in terms of interpretation.
I
Hypothesis Testing
Know the principle of hypothesis testing.
Know how to define what the null and alternative hypothesis is.
Know how to distinguish a type I error from a type II error, and define what statistical power is.
Know how to define what P-Value is.
Know the difference in calculation between parametric tests and non-parametric tests, and know how to define the consequences on their interpretation.
Know the first hypothesis tests that are the ANOVA, the student test and the Fisher-Snedecor test.
Know how to use the student test to validate the winnings of a project.
Know how to validate the normality of the data via the natural probability Plot.
I
Phase Improve
Improve
Know the purpose of this phase and the different steps.
I
Evaluate different alternatives
Define and understand what Multi-Voting is, the Force field analysis, the Pugh method, the decision matrix and the gain-cost matrix. Know how to use them as a group to help with decision making.
I
Pilot tests
To understand the issues of the plans of experience with regard to the traditional approach.
Understand the fact that we have plans to study interactions and others not: knowing in which case one should use one or the other.
Know how to interpret the results graphically and numerically.
I
Phase Control
Control our processes
Know the purpose of this phase and the different steps.
I
Put under control a process
Know how a control card works and explain the distinction between a common cause of a special cause.
Know how to construct and interpret the control charts of Shewhart I-MP, Xbar-S and Xbar-R.
Know the eight criteria to act Nelson and the criteria for not acting.
Know the concept of on and sub-reaction.
I
