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Course Objectives

Initiate Six Sigma projects to bring about significant and lasting organizational change Formulate project selection criteria to focus Six Sigma initiatives on projects that will have the greatest chance of success Apply the DMAIC improvement process to solve business problems Develop process maps to gain a full understanding of an existing process Incorporate the “y = f(x)” method to determine the relationship between key inputs and process outputs Employ Six Sigma data-driven approaches to solve problems at their root cause and prevent their recurrence Reduce waste and defects by applying Lean and Six Sigma principles Implement control charts to monitor how a process is performing over time

Agenda

  • Course Overview

  • Roles and Responsibilities
  • Lean vs. Six Sigma
  • Learning Assessment

  • Lean Fundamentals
  • Flow Production Cells
  • Kaizen
  • 7 Waste Identification (Muda)
  • Waste Elimination
  • Current State vs. Future State
  • Team Selection
  • Project Charter
  • The Five “W’s” and One “H” of a Problem Statement
  • Responsibility Assignment Matrix (RAM) and PACI Charts
  • Process Mapping
  • Process Mapping Exercise
  • Ishikawa Diagrams
  • Affinity Diagrams
  • 5S and 6M’s
  • Visual Management
  • Traditional and Lean Production(s)
  • Takt Time
  • Focused Factories and Demand Flow
  • Single Minute Exchange of Die (SMED)
  • Mistake Proofing (Poka-Yoke)
  • A3 Thinking
  • Learning Assessment

  • History of Six Sigma
  • Lean vs. Six Sigma
  • DMAIC vs. DMADV

  • Introduction to Define
  • Define Tools and Terminology
  • Y=f(x)
  • Defects per Million Opportunities (DPMO)
  • Rolled Throughput Yield (RTY)
  • Voice of the Customer (VOC)
  • Critical to Quality (CTQ)
  • Quality Function Deployment (QFD)
  • House of Quality
  • Kano Models and Pareto Charts
  • 5 Whys
  • Learning Assessment

  • Introduction to Measure
  • Measure Tools and Key Components
  • Basic Statistics
  • Normal Distribution and Z Tables
  • Data Collection Plans and Methods
  • Scales of Measurement
  • Central Tendency
  • Central Limit Theorem
  • Sampling
  • Random versus Representative Samples
  • Data Definitions
  • Gauge R&R
  • Statistical Process Control (SPC)
  • Control Charts
  • SPC Errors
  • Understanding Variation
  • Displaying Variation
  • Six Sigma “Shift”
  • Measurement Systems Analysis (MSA)
  • Quality Loss Function
  • Process Capability
  • Cp and Cpk
  • Measurement Error
  • Learning Assessment

  • Introduction to Analyze
  • Analyze Tools and Goals
  • Histograms, Pareto Charts, Scatter and Box Plots
  • Revisiting Y=f(x)
  • Graphical Analysis
  • Problem Statement – 5 “W’s” and One “H”
  • Failure Mode Effects Analysis (FMEA)
  • Root Cause Analysis
  • Simple Linear Regression
  • Hypothesis Testing
  • Confidence Intervals
  • Standard Deviations vs. Standard Value
  • Sample Mean
  • Analysis of Variance (ANOVA)
  • Bootstrapping (Resampling)
  • Risk Management
  • Learning Assessment

  • Introduction to Improve
  • Improve Tools
  • Developing Solutions
  • Risk Mitigation
  • One Factor at a Time (OFAT)
  • Design of Experiments (DOE)
  • Cause and Effect Matrix
  • Finalized Solutions
  • Learning Assessment

  • Introduction to Control
  • Control Tools
  • Control Plans
  • Response Plans
  • Change Management Overview
  • Learning Assessment

  • Lean Six Sigma Black Belt Certification Exam
Tags
Technical Product Line: Other Core Type: Core 0 Vendor: Project Management
FREE

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Course Type: Instructor Led