Name: Lean Six Sigma Green Belt Training Program
Availability: InStock

About the Course

Linkskill's Lean Six Sigma Green Belt program equips quality professionals, managers, engineers, and business analysts with the tools to identify waste, reduce variation, and improve process performance. The program follows the internationally recognised DMAIC (Define, Measure, Analyse, Improve, Control) methodology.

You'll learn through real-world case studies from manufacturing, IT service management (ITSM), banking, and healthcare sectors. Statistical analysis with Minitab is fully integrated, and the program covers AI-enhanced quality tools for modern process improvement initiatives.

Course Curriculum

6 Modules · 25 Sessions

01

Lean Principles & Six Sigma Fundamentals

4 sessions

History and evolution: Toyota Production System, Motorola Six Sigma, GE's adoption
The 8 Wastes of Lean (TIMWOODS) with industry examples
Lean tools: 5S, Kaizen, Kanban, Visual Management, Poka-Yoke
Six Sigma overview: DPMO, sigma levels, voice of customer (VOC)
Belt levels: Yellow, Green, Black, Master Black Belt — roles and responsibilities
Integrating Lean and Six Sigma: when to use each approach
Project charter creation: business case, problem statement, scope, goals

02

Define Phase — VOC & Project Selection

4 sessions

SIPOC diagram: mapping the full process landscape
Voice of Customer (VOC): surveys, interviews, focus groups, Kano model
CTQ (Critical to Quality) tree: translating customer needs to measurable requirements
Value Stream Mapping (VSM): identifying value-added vs. non-value-added activities
Affinity diagram and tree diagram for idea organisation
Stakeholder analysis and communication plan for improvement projects
Project prioritisation: effort-impact matrix, project scoring criteria

03

Measure Phase — Data Collection & Process Capability

5 sessions

Process mapping: detailed flow charts, swim lane diagrams
Data types: continuous, discrete; sampling techniques and sample size calculation
Measurement System Analysis (MSA): Gauge R&R, attribute agreement analysis
Process capability: Cp, Cpk, Pp, Ppk — interpreting sigma levels
Control charts: XmR, Xbar-R, Xbar-S, p-chart, c-chart for monitoring processes
Statistical distributions: normal, binomial, Poisson — with Minitab
Baseline data collection plan and current state sigma calculation

04

Analyse Phase — Root Cause Analysis & Statistics

5 sessions

Root cause analysis tools: Fishbone (Ishikawa) diagram, 5 Whys, fault tree analysis
Hypothesis testing fundamentals: p-value, null hypothesis, Type I/II errors
t-tests, ANOVA: comparing process means across groups
Chi-Square tests for categorical data analysis
Correlation and regression analysis: identifying cause-effect relationships
Non-parametric tests: Mann-Whitney, Kruskal-Wallis for non-normal data
Minitab labs: running all statistical tests with real process data
Pareto analysis and multi-vari studies for identifying dominant causes

05

Improve & Control Phases

5 sessions

Solution generation: brainstorming, SCAMPER, benchmarking, TRIZ
Pilot testing: planning, executing, and evaluating process improvements
Design of Experiments (DOE): full factorial, fractional factorial designs
Response Surface Methodology (RSM) for process optimisation
Control plan: sustaining improvements, monitoring metrics, response plans
Statistical Process Control (SPC): implementing control charts in production
Mistake-proofing (Poka-Yoke) design for permanent error elimination
Transition planning: training stakeholders and documenting SOPs

06

Capstone Project & Certification Prep

2 sessions

End-to-end DMAIC project on a real or simulated process improvement scenario
Project storyboard: all DMAIC phases documented with data and charts
Quantified financial and quality impact of the improvement
Presentation to mock review panel (Belt certification format)
IASSC Green Belt exam preparation: practice tests, body of knowledge review
Digital Lean Six Sigma: applying tools to software processes, Agile teams, and IT ops

Job Roles After This Course

Process Improvement Manager Quality Engineer / Manager Operations Excellence Lead Healthcare Quality Analyst Banking Process Analyst IT Service Quality Manager Lean / Agile Coach Management Consultant

Tools & Technologies

Statistical & Quality Tools

Minitab 21 DMAIC Methodology Value Stream Mapping SPC Control Charts Gauge R&R / MSA Hypothesis Testing ANOVA / t-tests Design of Experiments

Lean Tools

SIPOC / VSM 5S Methodology Kaizen Events MS Excel (Stats) Process Capability (Cp/Cpk) Fishbone / 5 Whys

Key Course Features

📡

Industry Expert Trainers

💡

Multi-Industry Case Studies

🤖

AI-Enhanced Quality Tools

🏆

IASSC / ASQ Exam Prep

🏢

Minitab Hands-on Labs

📹

Session Recordings Provided

💳

Easy EMI Options

🔗

LinkedIn Green Belt Badge

🎯

Interview Preparation

🎓

Lean Six Sigma Green Belt Certificate

Issued upon completing 80% attendance and submitting the capstone DMAIC project. Certificate is aligned with the IASSC Lean Six Sigma Green Belt Body of Knowledge. Also prepares you for IASSC ICGB and ASQ CSSGB external certifications.

Lean Six Sigma Green Belt AI-Enhanced

About the Course

Course Curriculum

Lean Principles & Six Sigma Fundamentals

Define Phase — VOC & Project Selection

Measure Phase — Data Collection & Process Capability

Analyse Phase — Root Cause Analysis & Statistics

Improve & Control Phases

Capstone Project & Certification Prep

Job Roles After This Course

Tools & Technologies

Statistical & Quality Tools

Lean Tools

Key Course Features

Lean Six Sigma Green Belt Certificate