Management / Process Management

Six Sigma Green Belt Manager (Six Sigma Green Belt Manager).

The PECB Six Sigma Green Belt training course allows you to develop the knowledge and skills needed to successfully participate in and support process improvement projects. During this training, participants will gain an in-depth understanding of the DMAIC (Define, Measure, Analyze, Improve, and Control) process improvement methodology and learn how to apply various Six Sigma tools to identify problems, analyze data, implement improvements, and sustain gains.

Issues

Six Sigma methodology
DMAIC cycle
Voice of the Customer (VOC)
Process mapping
Root cause analysis
Statistical tools
Performance indicators
Process capability
Hypothesis testing
Planning experiments
Control systems
Standardization of processes

This training is part of the path:

Lean / Six Sigma

Benefits

Master the basic principles and concepts of Six Sigma methodology
They will learn how to apply DMAIC phases to process improvement projects
Acquire basic statistical tools and techniques used in Six Sigma
They will acquire the skills to effectively participate in Six Sigma project teams and contribute to project success

Who is this training for?

Professionals and managers looking to improve business processes and productivity

Project team members involved in improvement initiatives

Quality analysts and process engineers

Individuals aspiring to take a leadership role in process improvement projects

Prerequisites

Basic knowledge of business processes
Analytical and logical thinking skills
Fundamentals of mathematics and statistics at the secondary level
Knowledge of computer tools (Excel, basics)

Training program

Introduction to Six Sigma — history, philosophy, sigma levels, Cost of Poor Quality (COPQ), relationship with Lean
Six Sigma structure in the organization — roles (Champion, Black Belt, Green Belt), governance, project selection
Define phase — Project Charter, problem definition, SMART goals, project scope, schedule
Voice of the Customer (VOC) — gathering requirements, CTQ (Critical to Quality), CTQ tree, Kano model
Process mapping — SIPOC, flowchart, Value Stream Mapping (VSM), waste identification
Exercises: developing a Project Charter, VOC and CTQ analysis, SIPOC for a process

Statistics fundamentals — population, sample, normal distribution, mean, median, standard deviation
Measurement system — Measurement System Analysis (MSA), repeatability and reproducibility (Gage R&R)
Process capability — Cp, Cpk, Pp, Ppk, DPMO, yield, indicator interpretation
Data collection — data collection plan, data types (continuous, discrete), stratification, sampling
Data visualization — histograms, Pareto charts, box plot, scatter plot, run chart
Exercises: measurement system analysis, process capability calculation, data visualization

Root cause analysis — Ishikawa diagram, 5 Why, Failure Mode and Effects Analysis (FMEA)
Hypothesis testing — t-test, chi-square test, ANOVA, p-value, significance level, Type I and Type II errors
Correlation and regression analysis — correlation coefficient, linear regression, results interpretation
Multivariate analysis — stratification, cluster analysis, key variable identification
Detailed process mapping — value-added analysis, bottleneck identification, cycle time
Exercises: conducting root cause analysis, hypothesis testing on data, FMEA

Improve phase — solution generation, selection criteria, prioritization matrix, pilots and tests
Design of Experiments (DOE) — full factorial, fractional, results interpretation, optimization
Implementing improvements — implementation plan, change management, risk analysis, stakeholder management
Control phase — control charts (X-bar, R, p, c), control plan, standard operating procedures (SOP)
Sustaining gains — process monitoring, reaction plan, knowledge transfer, project closure
Exercises: designing an experiment, developing a control plan and control charts

DMAIC methodology summary — review of key Six Sigma tools and techniques
Six Sigma and Lean — integration, Lean Six Sigma, Kaizen, waste elimination
Case studies — analysis of Six Sigma projects in manufacturing, services and IT
PECB certification preparation — exam format, question types, passing strategies
Mock exam — simulation of the PECB Certified Six Sigma Green Belt exam
PECB certification exam (optional) — written exam leading to the PECB Certified Six Sigma Green Belt certificate

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Six Sigma Green Belt Manager (Six Sigma Green Belt Manager). we recommend: Basic knowledge of business processes; Analytical and logical thinking skills; Fundamentals of mathematics and statistics at the secondary level.

What is the format and duration of this training?

The training lasts 5 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Professionals and managers looking to improve business processes and productivity; Project team members involved in improvement initiatives; Quality analysts and process engineers.