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Lean Six Sigma Body of Knowledge

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All topicsNext: DMAIC

This Body of Knowledge is a learning path through Lean Six Sigma as we teach it on this site: the DMAIC method, the Yellow, Green, and Black Belt roles, and the Lean tools you will meet on the job and on IASSC or ASQ exams. The goal is that you can start here and stay on our pages, instead of being sent out to a different website for each topic.

This is an independent study guide. It is not the official Body of Knowledge of IASSC or ASQ, and it is not a substitute for their exam handbooks. When you need official exam rules, scoring, or the current published BoK, use the certifying body. We link those official pages as references and keep the teaching on this site.

DMAIC sequence: Define, Measure, Analyze, Improve, Control Five chevrons in order: Define, Measure, Analyze, Improve, and Control. Define Measure Analyze Improve Control
DMAIC is the backbone of most Lean Six Sigma improvement projects: Define, Measure, Analyze, Improve, and Control. The tools below are arranged so you can learn them in that order, after a short Lean foundation.
X-bar style control chart with one point above the upper control limit Twenty subgroup averages plotted against a center line at 10, an upper control limit at 16, and a lower control limit at 4. Subgroup 16 is above the upper limit and is marked as a special-cause signal. Hole diameter deviation (0.01 mm), subgroups of 5 UCL = 16 CL = 10 LCL = 4 1 5 10 15 20 Special-cause signal (point 16) A point beyond a control limit is a signal to investigate — not automatic proof of a bad part.
A control chart is one of the core Control-phase tools. The chart above is an original example: subgroup 16 sits above the upper control limit and is a special-cause signal to investigate, not an automatic scrap decision. Read the full guide on statistical process control charts.

How to use this hub

Work from top to bottom if you are new. If you already have a project, jump to the tool you need, then use Previous and Next on each page to stay on the path. Pages marked “Guide ready” are ones you can study on this site today. Pages marked “Coming next” are planned on purpose — those are often the topics this site used to cover with an external link, and we will replace that link only after our own page is live and complete.

Foundations

DMAIC

The five-phase improvement method: Define, Measure, Analyze, Improve, and Control.

Y G B Guide ready

Belt roles and responsibilities

What Yellow, Green, and Black Belts, Champions, and process owners typically own on a project.

Y G B Guide ready

What is Six Sigma?

A short definition of the approach and why variation and defects matter.

Y G B Live — scheduled for a fuller rewrite

History of Six Sigma and continuous improvement

Where the method came from and how it connects to earlier quality work.

Y G B Guide ready

How to get Six Sigma certified

Independent overview of IASSC, ASQ, and other exam paths. Official exam rules stay on the certifier’s site.

Y G B Guide ready

Design for Six Sigma (DFSS)

When you need to design or redesign a product or process rather than improve an existing one.

G B Guide ready

Lean foundation (learn these early)

These tools help you see flow and waste before you dive into formal statistics. They are taught in most Yellow Belt courses and used on almost every Green Belt project.

The 8 wastes (TIMWOODS)

Transportation, Inventory, Motion, Waiting, Overproduction, Overprocessing, Defects, and Skills — and how to spot them on a walk.

Y G B Guide ready

5S

Sort, Set in Order, Shine, Standardize, and Sustain: a workplace system that makes normal work visible.

Y G B Guide ready

SIPOC diagrams

A one-page high-level map of Suppliers, Inputs, Process, Outputs, and Customers, usually built in Define.

Y G B Guide ready

Value stream mapping

A map of material and information flow, with inventory, cycle time, and a lead-time timeline.

Y G B Guide ready

Kaizen and Kaizen Blitz

Continuous improvement as daily practice, and focused events that run a PDCA cycle quickly.

Y G B Guide ready

Poka-yoke (mistake-proofing)

Devices and methods that prevent an error or make it obvious at the source, before it becomes a defect.

Y G B Guide ready

Kanban

A pull signal that limits work in process and tells an upstream step when to produce or move work.

Y G B Live — expansion planned

Just-in-time (JIT)

Producing and moving what is needed, when it is needed, in the amount needed.

G B Live — expansion planned

Total productive maintenance (TPM)

Keeping equipment capable through planned maintenance and operator care.

G B Live — expansion planned

Define

Voice of the customer (VOC)

How customer statements, complaints, and data are gathered and turned into requirements.

Y G B Live — expansion planned

Critical to quality (CTQ)

The measurable product or process characteristics that have to be met to satisfy the VOC.

Y G B Live — expansion planned

Project charter

Scope, business case, goals, team, and boundaries for a DMAIC project.

Y G B Live — expansion planned

Kano model

A way to sort customer requirements into basic, performance, and delight features.

G B Live — expansion planned

Quality function deployment (QFD)

A structured way to carry customer needs into design and process requirements.

B Live — expansion planned

Measure

Basic Lean Six Sigma metrics

Lead time, cycle time, WIP, yield, and other measures used on improvement projects.

Y G B Guide ready

Check sheet

A simple, structured form for collecting data at the place the work happens.

Y G Guide ready

Histogram

A distribution of a measured characteristic, used to see shape, spread, and centering.

Y G B Guide ready

Work in progress (WIP)

The inventory of unfinished work in the system, and why it drives lead time.

Y G B Guide ready

Common and special cause variation

The two kinds of variation that control charts are built to distinguish.

Y G B Guide ready

Process capability (Cp, Cpk, Pp, Ppk)

How a stable process compares to its specification limits, and when each index is the right one to quote.

G B Coming next — several external guides still point off-site

Measurement system analysis (MSA / Gage R&R)

Whether your measurement system is capable enough for the decision you want to make.

G B Coming next — a frequent off-site link from the training guides

Analyze

Pareto analysis and Pareto chart

Ranked categories with a cumulative line, used to focus on the vital few.

Y G B Guide ready

Ishikawa (fishbone) diagram

A structured cause-and-effect picture of possible drivers of a problem.

Y G B Guide ready

5 Whys

A simple questioning method for walking from a symptom toward a root cause.

Y G Guide ready

Root cause analysis

A broader look at finding and confirming causes, including when 5 Whys is not enough.

Y G B Guide ready

Choosing the right parametric test

A starting point for matching a hypothesis test to your data and question.

G B Live — a fuller hypothesis-testing guide is planned

Hypothesis tests and nonparametric alternatives

t-tests, z-tests, ANOVA, proportions, and common nonparametric options, with a decision tree.

G B Coming next — this is the largest remaining cluster of off-site study links

Design of experiments (DOE)

Planned experiments that estimate factor effects and interactions, including factorial designs.

B Coming next

Improve

Failure mode and effects analysis (FMEA)

A structured look at how a process or design can fail, and how to prioritize actions.

G B Guide ready

Poka-yoke

Mistake-proof the Improve action so the error cannot easily return.

Y G B Guide ready

Kaizen events

Turn a cause into a small, tested change, then standardize what works.

Y G B Guide ready

5S in Improve

Often the first physical change on the floor when motion, mixed materials, or hidden problems dominate.

Y G B Guide ready

Control

Statistical process control charts

How control charts detect signals of special cause against a background of common cause.

Y G B Guide ready

Choosing the right control chart

A guide to matching chart type to the kind of data you have.

G B Guide ready

Control plan

The document that states what to measure, who reacts, and how the gain is held.

G B Live — expansion planned

In-control process

What it means for a process to be statistically stable.

G B Guide ready

Belt paths

Yellow Belt. Learn DMAIC, the eight wastes, 5S, SIPOC, VOC and CTQ at a basic level, Pareto, fishbone, 5 Whys, and what a control chart is for. Then take a Yellow Belt practice exam.

Green Belt. Add value stream mapping, capability (once that guide is on this site), measurement thinking, hypothesis tests, FMEA, Kanban and poka-yoke, and a real project charter. Practice with the IASSC Green Belt and ASQ Green Belt question sets.

Black Belt. Add DOE, QFD, more advanced statistics, DFSS, and enterprise deployment topics. Use the IASSC Black Belt and ASQ Black Belt practice exams, and the ASQ free training guide as a map of exam sections — then read the matching guides here.

Practice exams and tables

When you are ready to test yourself, start at the practice exams hub. Statistical tables used in many of those items live at Six Sigma tables (z, t, chi-square, F, and Poisson).

Frequently asked questions

Is this the official IASSC or ASQ Body of Knowledge?

No. It is our learning path, written so a visitor can study on this site. Official exam content, eligibility, and the current published Body of Knowledge remain with IASSC and ASQ. Use their sites for those facts.

Where should a complete beginner start?

Read the DMAIC overview, then the eight wastes, 5S, and SIPOC, in that order. After that, value stream mapping and Kaizen will make more sense, and you can follow Define–Measure–Analyze–Improve–Control through the tools above.

All topicsNext: DMAIC

Related guides

  • Failure Mode and Effects Analysis (FMEA)
  • Pareto analysis and Pareto chart
  • Pareto charts
  • The Pareto principle
  • Statistical process control charts
  • Choosing the right control chart
  • ASQ free training guide
  • Free Lean Six Sigma training guide