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LEAN SIX SIGMA

Understand variation. Make progress last.

A data-driven method for more reliable processes.

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UNDERSTAND TO TRANSFORM

Six Sigma.
Less uncertainty.
More control.

WHAT IS SIX SIGMA?

Six Sigma is a data-driven approach to process improvement. It helps reduce variation and defects to deliver more consistent results that meet customer expectations.

Observe the facts, investigate the causes, test solutions and track their effects over time.

σIn statistics, sigma denotes standard deviation, a measure of spread. The method helps understand and manage that variability.
01

Start with the customer

Define what matters: a conforming product, a reliable response or a consistent service.

02

Decide with evidence

Measure the situation and verify the causes before choosing a solution.

03

Sustain improvements

Test, standardize and monitor results to prevent problems from returning.

LEANRemove waste
+
SIX SIGMAReduce variation
=
A smoother, more reliable process.Explore the 5 DMAIC steps
A PRACTICAL EXAMPLE

Do customer files frequently need corrections? A Six Sigma approach helps measure errors, identify causes and verify whether corrective actions work.

Try the Process Lab
ONE METHOD. REAL-WORLD APPLICATIONS.

Less waste.
More value.

Lean helps remove activities that add no value. Six Sigma helps understand variation and reduce defects. Together, they provide a structured approach to continuous improvement.

Understand Lean Six Sigma
DMAICYour improvement framework
01

Define the right problem.

Clarify the customer need, project scope and goal before looking for solutions.

LEAN SIX SIGMA, IN ACTION

Go beyond understanding.
Experiment.

PROCESS LAB

Move the slider. See how reducing waiting time changes a process’s lead time.

LEARNING SIMULATION · A CUSTOMER FILE
BASELINE80 min
Waiting60 min
AFTER IMPROVEMENT50 min
Waiting30 min
Constant processing time: 20 minInitial waiting time: 60 min
0 %100 %
LEAD TIME REDUCED BY37,5%
↗

Same useful work. Less waiting. A more efficient flow.

Fictional educational example. Lead time = processing + waiting time. No actual results or guaranteed gains are implied.

LANDMARKS

Where did Six Sigma come from?

Developed at Motorola in the 1980s, the approach was later spread widely by GE. It combines measurement, analysis and process control.

Variation

Two outputs from one process are rarely identical. Measuring their spread helps distinguish routine causes from unusual signals.

Defect

A defect is an outcome that misses a defined requirement. Relating it to defect opportunities makes processes comparable.

Sigma level

Sigma level describes statistical performance. The DPMO figures below are conventional references using a 1.5σ shift.

Defects per million opportunities (DPMO) reference
LevelDPMO
1σ691 462
2σ308 538
3σ66 807
4σ6 210
5σ233
6σ3,4

LEAN

Make flow more valuable

Lean identifies activities that create customer value and reduces unnecessary waits, handoffs and rework. Just-in-time aims to produce when needed.

The eight wastes

Defects

Corrections and rework

Overproduction

Producing before demand

Waiting

Time without progress

Unused talent

Ideas and skills overlooked

Transportation

Moving products

Inventory

Excess work in progress

Motion

Unnecessary movement of people

Extra processing

Steps without added value

DMAIC: a deliverable at every step

Each phase produces evidence or a decision the team can review.

D

Define

Project charter, voice of customer, SIPOC

M

Measure

Collection plan, process map, baseline

A

Analyze

Pareto, root causes, tested hypotheses

I

Improve

Tested solutions, pilot, before and after comparison

C

Control

Control plan, standards, measure tracking

Two complementary approaches

Lean focuses on flow and waste; Six Sigma focuses on variation and defects. Together they structure improvement.

Champion

Sets direction, supports the project and removes obstacles.

Black Belt

Leads complex analysis and coaches teams.

Green Belt

Leads an improvement project with DMAIC tools.

Yellow Belt

Contributes to the team and understands the foundations.

Illustrative applications

Manufacturing

Reduce production defects

Healthcare

Improve patient flow

Banking

Reduce file rework

Public administration

Shorten processing waits

Teaching examples, without a performance guarantee.

Frequently asked questions

Does Six Sigma apply to services?

Yes. Delay, file errors and inconsistent responses can be defined, measured and improved.

Must I master statistics?

Tools vary by project and level. The method starts with a clearly defined problem and reliable data.