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Lean Six Sigma (DMAIC phases in detail, DMADV for new processes, Six Sigma belt system, 8 wastes MUDA identification, process capability and Cpk, control charts types, measurement system analysis, cause-and-effect diagram, FMEA, hypothesis testing fundamentals in LSS, etc.) Cheat Sheet

Lean Six Sigma (DMAIC phases in detail, DMADV for new processes, Six Sigma belt system, 8 wastes MUDA identification, process capability and Cpk, control charts types, measurement system analysis, cause-and-effect diagram, FMEA, hypothesis testing fundamentals in LSS, etc.) Cheat Sheet

Back to Project Management
Updated 2026-05-17
Next Topic: LeSS – Large-Scale Scrum Cheat Sheet

Lean Six Sigma combines Lean's waste-elimination focus with Six Sigma's statistical defect-reduction methods to create a powerful continuous improvement methodology. At its core, Six Sigma targets 3.4 defects per million opportunities (99.99966% accuracy), while Lean eliminates non-value-adding activities through systematic process analysis. The DMAIC framework (Define, Measure, Analyze, Improve, Control) guides improvement of existing processes, while DMADV (Define, Measure, Analyze, Design, Verify) creates new processes optimized from inception. Understanding the distinction between common cause variation (inherent to the process) and special cause variation (assignable to specific factors) enables practitioners to apply the right tools—from statistical process control to root cause analysis—creating sustainable improvements that balance speed, quality, and cost.

What This Cheat Sheet Covers

This topic spans 18 focused tables and 97 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.

Table 1: DMAIC Phases for Process ImprovementTable 2: DMADV (Design for Six Sigma) PhasesTable 3: Six Sigma Belt Levels and RolesTable 4: The 8 Wastes (MUDA) in LeanTable 5: Process Capability Indices (Cp, Cpk, Pp, Ppk)Table 6: Statistical Process Control (SPC) Chart TypesTable 7: Measurement System Analysis (MSA) ComponentsTable 8: Root Cause Analysis ToolsTable 9: Voice of Customer (VOC) to Critical-to-Quality (CTQ)Table 10: Hypothesis Testing in Six SigmaTable 11: Design of Experiments (DOE) ConceptsTable 12: Quality Management Tools and VisualizationsTable 13: Lean Manufacturing Principles and MethodsTable 14: Time and Flow MetricsTable 15: Yield and Performance MetricsTable 16: Control Phase Tools and SustainabilityTable 17: Data Types and Statistical DistributionsTable 18: Advanced Six Sigma Concepts

Table 1: DMAIC Phases for Process Improvement

DMAIC is the foundational five-phase roadmap for improving existing processes in Six Sigma. Each phase builds on the previous one, moving from problem identification through sustained control, with specific deliverables and decision gates that prevent teams from jumping to solutions before understanding root causes.

PhaseExampleDescription
Define
Project Charter
Problem Statement
SIPOC Diagram
• Establishes project scope, business case, and boundaries
• identifies the problem, goal, timeline, and stakeholders before any analysis begins
Measure
Data Collection Plan
Baseline Cpk = 0.85
MSA with Gage R&R < 10%
• Quantifies current process performance using validated measurement systems
• establishes baseline metrics that define how bad the problem actually is
Analyze
Fishbone Diagram
5 Whys Analysis
Hypothesis Test p < 0.05
• Identifies root causes of defects through statistical analysis and process mapping
• separates vital few causes from trivial many using data-driven evidence

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