Lean Six Sigma Green Belt: DMAIC and Process Improvement

Course overview

Lead a disciplined improvement project from problem definition to sustained control.

Lean Six Sigma Green Belt: DMAIC and Process Improvement develops the capability to lead defined improvement initiatives using structured problem solving, process evidence and appropriate analysis.

Participants integrate customer requirements, project chartering, process mapping, measurement-system thinking, descriptive and inferential analysis, root-cause validation, solution testing and control planning.

The programme uses an end-to-end DMAIC case and can be extended with coached workplace application so participants demonstrate not only tool knowledge but also sound improvement judgement.

Learning outcomes

What participants will be able to do.

Select and frame improvement opportunities with clear value, scope and ownership.
Develop a DMAIC project charter, stakeholder plan and gate-review approach.
Translate customer needs into critical requirements and measurable outputs.
Map and analyse process flow, waste, failure modes and constraints.
Plan data collection and assess measurement reliability at an appropriate level.
Use descriptive statistics and graphical analysis to understand performance and variation.
Develop and test root-cause hypotheses using suitable analytical methods.
Generate, compare, pilot and refine improvement solutions.
Design control plans, response rules, standard work and benefit tracking.
Lead an improvement team and communicate evidence to sponsors and process owners.

Who should attend

Designed for professionals who need practical, context-aware capability.

Process-improvement and quality professionals.
Operations, service and functional managers.
Project leaders and business analysts leading process change.
Engineers, analysts and subject-matter specialists.
Yellow Belts progressing to project leadership.

Course structure

6 integrated modules from foundation to workplace application.

The programme connects principles, practical tools, evidence, decisions and transfer through one coherent learning journey.

1

Define: opportunity, customer and charter

Project selection and strategic relevance.
Voice of the customer and critical requirements.
Problem, goal, scope, benefits and constraints.
SIPOC, stakeholders and team roles.
Define gate and project risk.

2

Measure: process and data foundations

Detailed process mapping and waste analysis.
Operational definitions and data-collection plans.
Measurement-system thinking and data quality.
Baseline capability and performance views.
Measure gate and evidence sufficiency.

3

Analyse: variation and validated causes

Graphical and descriptive analysis.
Stratification, segmentation and pattern recognition.
Cause-and-effect, failure modes and hypothesis logic.
Correlation, comparison and appropriate inferential tools.
Root-cause validation and Analyse gate.

4

Improve: design, pilot and optimise

Creative and structured solution generation.
Selection criteria, risk and failure-proofing.
Pilot design and experiment discipline.
Evaluating effect, side effects and adoption.
Improve gate and implementation readiness.

5

Control: sustain performance and benefits

Control plans, response rules and process ownership.
Statistical and visual process monitoring.
Standard work, training and handover.
Benefits validation and financial logic.
Project closure, replication and learning.

6

Green Belt leadership and project application

Team leadership and facilitation.
Sponsor, process-owner and stakeholder communication.
Gate-review presentation and challenge.
Coaching, ethical data use and escalation.
Workplace project plan or final case defence.

Learning experience

Learn through application, challenge, feedback and reflection.

Select

Project-selection review

Compare candidate projects using strategic value, evidence, feasibility, risk and ownership.

Analyse

DMAIC case laboratory

Work through an end-to-end improvement case with process and data evidence.

Measure

Data-quality and baseline workshop

Create operational definitions, collection plans and defensible current-performance views.

Test

Cause and solution analysis

Use appropriate analysis to validate causes and evaluate pilot results.

Lead

Gate-review simulations

Present evidence, answer sponsor challenge and secure the next DMAIC decision.

Transfer

Workplace project roadmap

Prepare the charter, analysis plan, governance and milestones for a real improvement initiative.

Course completion

Demonstrate participation, application and professional judgement.

Participate in the complete DMAIC case and analytical workshops.
Complete the core process, measurement and analysis assignments.
Contribute to gate reviews and the final improvement presentation.
Complete the knowledge assessment or case defence where included.
For applied certification-style delivery, complete any separately approved workplace-project requirement.

Participant outputs

Typical course outputs include:

DMAIC project charter and stakeholder plan.
SIPOC and detailed process map.
Measurement and data-collection plan.
Baseline and root-cause analysis pack.
Solution-selection and pilot plan.
Control plan, benefit logic and project roadmap.

Delivery options

Choose the format that fits your people and operating environment.

Instructor-led

Live Classroom

Face-to-face delivery with facilitated discussion, simulations, workshops and immediate feedback.

Instructor-led

Live Virtual Classroom

Interactive online delivery using collaborative workspaces, breakout activities and guided application.

Flexible

Blended Learning

A structured combination of preparation, live sessions, applied assignments, coaching and follow-up.

Organisation-specific

Corporate and In-Company

Tailored delivery using organisational terminology, cases, data and workplace priorities where appropriate.

Frequently asked questions

Course information and participation.

Is a workplace project required?

It is strongly recommended and may be required for an applied or assessed corporate pathway. The standard public course can use the integrated case unless a project requirement is specified.

Does the course include statistics?

Yes. It includes practical descriptive and selected inferential methods appropriate to Green Belt improvement decisions, supported by software or spreadsheets where suitable.

What software is required?

The exact tool depends on the delivery. Spreadsheet analysis is normally included, and specialised statistical software may be added when agreed in advance.

Can the programme be delivered in blocks?

Yes. The typical ten-day programme is normally delivered in two blocks, allowing structured practice and workplace application between sessions.

Does the course award a third-party Green Belt certification?

No automatic third-party credential is conferred. INDENTRA may issue a completion or internal assessment record where applicable, and any external examination or certification arrangement must be explicitly approved and stated.

Take the next step

Lead data-informed process improvement from definition to sustained control.

Discuss the next Green Belt cohort or a tailored pathway combining classroom learning, project coaching and workplace application.

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INDENTRA may adapt sequencing, exercises and examples to suit the delivery format and participant profile while preserving the stated learning outcomes. Any external examination, accreditation or third-party certification arrangement applies only when explicitly confirmed for the specific offering.