Black Belt Body of Knowledge
Fundamentals of Project Management
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Definition of a Project
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Project vs Operations
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Project Management Definition
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Project Management Triangle
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Project Failures – Common Causes
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LSSBB as a Project Manager
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Management of Project Team
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Stakeholder Management
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Who is a Stakeholder?
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Prioritizing the Stakeholders
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Stakeholder Engagement
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Communicating with the Stakeholders
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Cultural Factor
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Change Management
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What is Change Management?
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Change Management Models
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Kurt Lewin’s Model
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Prosci® 3 Phase Model
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Dr Celine Bareil’s Model (CAPTE)
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Understanding Stakeholders’ Concerns
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What Triggers Resistance?
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Overcoming Barriers
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Introduction to Lean Methodology
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Overview​
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Differences between Lean and Six Sigma Approach
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Focus of Lean Philosophy
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Lean Principles
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Defining value
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Mapping value stream
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Creating flow
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Establishing a pull system
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Pursuing continuous improvement
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Lean Concepts and Tools – I
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Muda (Waste)
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Mura (Unevenness)
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Muri (Overburdening)
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Heijunka (Levelling)
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Kaizen
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Kaikaku
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Kanban
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Poka yoke (mistakeproofing)
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Visual management
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5S
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Lean Concepts and Tools - II
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Jidoka
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PDCA Cycle
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A3 Report
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Hoshin Kanri Matrix
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Gemba Walk
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Introduction to Six Sigma
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What is six sigma?
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History of six sigma
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Benefits of six sigma
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Six sigma project
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DMAIC Approach
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Roles and responsibilities
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Define Phase​
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Concepts and Tools
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Y = f(Xn)
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SIPOC Analysis
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Voice of Customer
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Voice of Business
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Voice of Process
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Voice of Employee
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Deliverables
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Assembling the project team
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Developing the project charter
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Performing SIPOC AnalysisPerforming VoC Analysis
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Defining CTQ
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Drafting the project objective
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Obtaining final approval for the project
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Measure Phase
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Introduction & Common Metrics
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Defect
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Defective
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DPU
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DPMO
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Cycle time
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Takt time
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FTY
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FPY
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RTY
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Process Analysis
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Definition of a process
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Process mapping
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Standard operating procedures
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Cause & effect diagram
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X – Y diagram
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Organizing Data
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Data types
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Measures of central tendency
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Mean
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Median
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Mode
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Measures of Dispersion
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Range
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Variance
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Standard deviation
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Bar chart
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Pareto chart
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Line Graph
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Histogram
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Dot plot
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Box plot
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Six Sigma Statistics
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What is Statistics
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Descriptive Statistics
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Inferential Statistics
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Sampling Techniques
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Parameter vs Statistic
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Types of Distribution
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Binomial Distribution
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Poisson Distribution
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Normal Distribution
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Exponential Distribution
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Chi Square Distribution
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Measurement Systems Analysis
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Introduction
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Accuracy
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Precision
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Bias
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Linearity
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Stability
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Gage Repeatability & Reproducibility
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Process Capability
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Introduction
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Specification Limits vs Control Limits
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Process Capability
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Process Capability Index
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Process Performance
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Process Performance Index
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Analyze Phase
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Analyzing and Interpreting Data
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Introduction
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Basics of Hypothesis Testing
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Null Hypothesis
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Alternative Hypothesis
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Confidence Interval
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Type I Error
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Type II Error
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Selecting the Sample Size
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P-Value
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Z Distribution
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T Distribution
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Correlation
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Causation
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1 Sample Z Test
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1 Sample T Test
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1 Sample Proportion Test
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1 Sample Variance Test
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2 Sample Z Test
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2 Sample T Test
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Paired T Test
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2 Proportions Test
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2 Variances Test
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ANOVA
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Interpreting Non-normal Data
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Kurtosis
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Skewness
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Bi-modal Distribution
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Rectangular Distribution
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Central Limit Theorem
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Non-parametric Tests
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Wilcoxon’s Signed Rank Test
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Mann-Whitney U Test
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Mood’s Median Test
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Kruskal-Wallis Test
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Regression & Residual Analysis
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Simple Linear Regression
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Residual Analysis for Simple Linear Regression
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Multiple Linear Regression
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Residual Analysis for Multiple Linear Regression
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Improve Phase
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Introduction to Improve Phase
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Identification of Possible Solutions
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Brainstorming
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Affinity Diagrams
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Design of Experiments (DOE)
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Benchmarking
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Lean Tools
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Introduction to DOE
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Factors
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Levels
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Response Variables
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Main Effects
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Interaction Effects
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Noise factor
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Experimental Runs
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Full Factorial vs Fractional Factorial Designs
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Replication
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Confounding
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Resolution of an Experiment
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Evaluating a Solution
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Pugh Matrix
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Multi Voting
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Delphi Technique
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Nominal Group Technique
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Selection of the Best Solution
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Mapping the New Process
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Risk Analysis & Mitigation
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Pilot Test
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Evaluation of Pilot Test Results
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Full Scale Implementation
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Control Phase
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Statistical Process Control
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Introduction
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Control Charts for Attribute Data
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NP Chart
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P Chart
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C Chart
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U Chart
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Control Charts for Continuous Data
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Individual and Moving Range (I-MR) Chart
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X Bar and R Chart
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X Bar and S Chart
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Choosing the Appropriate Chart
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Institutionalizing the New Process
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Standardizing the New Process
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Developing the Control Plan
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Cost-Benefit Analysis
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Recording the Lessons Learned
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Project Review