Six Sigma Green Belt Professional — Certification Brochure

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London Academy of Professional Training
Certificate
Six Sigma Green Belt Professional
REF: MSPC-SS-03  •  Management Centres  •  Six Sigma Certifications
6Subjects 30Chapters 174Classes 430Total Marks 60%Pass Mark LifetimeValidity
At a Glance
ReferenceMSPC-SS-03
AwardCertificate
Assessment430 marks — 258 to pass (60%)
PrerequisitesNone
ValidityLifetime
Awarding BodyLAPT — London Academy of Professional Training
Curriculum
1 Implementing Six Sigma Projects 5 chapters · 30 classes  45 marks
• 1 Understanding the Six Sigma Methodology and Project Objectives — 6 classes
› 1.1 Define Six Sigma: Key Principles and Concepts
› 1.2 Identify the DMAIC Framework: Steps and Importance
› 1.3 Analyze Customer Needs: Setting Project Objectives
› 1.4 Establish Project Scope: Defining Boundaries and Goals
› 1.5 Develop a Project Charter: Essential Components
› 1.6 Communicate Project Objectives: Engaging Stakeholders Effectively
• 2 Identifying and Selecting Six Sigma Projects — 6 classes
› 2.1 Define Project Selection Criteria for Six Sigma
› 2.2 Analyze Business Needs to Identify Improvement Opportunities
› 2.3 Evaluate Stakeholder Input for Project Prioritization
› 2.4 Conduct a SWOT Analysis for Potential Six Sigma Projects
› 2.5 Prioritize Projects Using the Pareto Principle
› 2.6 Develop a Project Charter for Selected Six Sigma Initiatives
• 3 Defining Project Scope and Establishing Stakeholder Engagement — 6 classes
› 3.1 Identify Key Components of Project Scope
› 3.2 Analyze Organizational Stakeholders
› 3.3 Develop a Stakeholder Engagement Plan
› 3.4 Facilitate Effective Stakeholder Communication
› 3.5 Set Clear Objectives for Six Sigma Projects
› 3.6 Evaluate and Adjust Project Scope Based on Feedback
• 4 Utilizing Tools for Data Collection and Analysis — 6 classes
› 4.1 Identify Key Data Metrics for Six Sigma Projects
› 4.2 Select Appropriate Data Collection Methods
› 4.3 Design Surveys and Questionnaires for Effective Feedback
› 4.4 Implement Data Visualization Techniques for Analysis
› 4.5 Utilize Statistical Tools for Data Interpretation
› 4.6 Integrate Findings to Drive Project Improvements
• 5 Implementing Improvements and Measuring Impact — 6 classes
› 5.1 Identify Key Improvement Areas in Six Sigma Projects
› 5.2 Develop a Strategic Action Plan for Implementation
› 5.3 Utilize Data Analysis Tools to Measure Improvement
› 5.4 Establish Baseline Metrics for Project Assessment
› 5.5 Conduct Impact Evaluation of Implemented Improvements
› 5.6 Communicate Results and Foster Continuous Improvement Culture
2 Introduction to Six Sigma 5 chapters · 30 classes  85 marks
• 1 Fundamentals of Six Sigma and Quality Management — 6 classes
› 1.1 Define Key Concepts in Six Sigma and Quality Management
› 1.2 Explore the History and Evolution of Six Sigma Methodologies
› 1.3 Identify the Role of Quality Management in Business Success
› 1.4 Analyze the DMAIC Framework for Process Improvement
› 1.5 Evaluate the Importance of Customer Focus in Quality Management
› 1.6 Apply Basic Six Sigma Tools for Quality Assessment
• 2 The DMAIC Process: Definition and Phases — 6 classes
› 2.1 Define DMAIC: Understanding the Framework and Its Importance
› 2.2 Explore the Define Phase: Identifying the Problem Statement
› 2.3 Analyze the Measure Phase: Key Metrics and Data Collection
› 2.4 Investigate the Analyze Phase: Identifying Root Causes
› 2.5 Examine the Improve Phase: Developing and Implementing Solutions
› 2.6 Review the Control Phase: Sustaining Improvements and Monitoring
• 3 Data Collection and Analysis Techniques — 6 classes
› 3.1 Identify Types of Data Used in Six Sigma
› 3.2 Explore Data Collection Methods for Quality Improvement
› 3.3 Utilize Sampling Techniques for Effective Data Gathering
› 3.4 Analyze Data with Descriptive Statistics
› 3.5 Apply Data Visualization Tools for Insight Generation
› 3.6 Implement Data Analysis Software in Six Sigma Projects
• 4 Tools and Techniques for Process Improvement — 6 classes
› 4.1 Identify the Key Components of Six Sigma Tools
› 4.2 Demonstrate the Use of SIPOC Diagrams for Understanding Processes
› 4.3 Analyze the Role of Flowcharts in Process Mapping
› 4.4 Apply the 5 Whys Technique for Root Cause Analysis
› 4.5 Utilize Pareto Charts to Prioritize Process Issues
› 4.6 Implement Control Plans to Sustain Process Improvements
• 5 Implementing Six Sigma in an Organization — 6 classes
› 5.1 Define the Core Principles of Six Sigma
› 5.2 Identify Key Roles in a Six Sigma Team
› 5.3 Assess Current Processes for Six Sigma Implementation
› 5.4 Develop a Six Sigma Project Charter
› 5.5 Create a Plan for Training and Communication
› 5.6 Measure the Impact of Six Sigma on Organizational Performance
3 Leading Teams in Change Initiatives 5 chapters · 30 classes  85 marks
• 1 Understanding Change Management Principles — 6 classes
› 1.1 Define Change Management Concepts and Theories
› 1.2 Identify Key Drivers of Change in Organizations
› 1.3 Analyze Stakeholder Roles and Impacts in Change Processes
› 1.4 Explore Change Models and Their Application
› 1.5 Develop Strategies for Effective Communication During Change
› 1.6 Assess and Measure the Impact of Change Initiatives
• 2 Assessing Team Readiness for Change — 6 classes
› 2.1 Identify Change Drivers Within the Team
› 2.2 Evaluate Team Dynamics and Culture
› 2.3 Assess Individual Readiness for Change
› 2.4 Conduct a Readiness Assessment Survey
› 2.5 Analyze Readiness Assessment Results
› 2.6 Develop Strategies to Enhance Team Readiness
• 3 Effective Communication Strategies during Change — 6 classes
› 3.1 Understand the Importance of Communication during Change
› 3.2 Identify Key Stakeholders and Their Communication Needs
› 3.3 Develop Tailored Messaging for Different Audiences
› 3.4 Utilize Effective Listening Techniques in Conversations
› 3.5 Implement Feedback Loops to Enhance Communication
› 3.6 Practice Communication Scenarios for Real-Time Change Leadership
• 4 Building Resilience and Adaptability in Teams — 6 classes
› 4.1 Identify Key Characteristics of Resilient Teams
› 4.2 Analyze the Impact of Change on Team Dynamics
› 4.3 Develop Strategies for Enhancing Team Adaptability
› 4.4 Implement Tools for Effective Communication During Change
› 4.5 Foster a Culture of Continuous Improvement and Learning
› 4.6 Evaluate Team Performance and Adaptation Post-Change
• 5 Measuring and Sustaining Change Outcomes — 6 classes
› 5.1 Define Key Performance Indicators for Change Initiatives
› 5.2 Collect and Analyze Data on Change Outcomes
› 5.3 Evaluate the Impact of Changes on Team Dynamics
› 5.4 Implement Continuous Feedback Mechanisms
› 5.5 Develop Strategies for Sustaining Positive Change
› 5.6 Create a Change Impact Report for Stakeholders
4 Process Mapping and Analysis 5 chapters · 30 classes  85 marks
• 1 Fundamentals of Process Mapping — 6 classes
› 1.1 Define Process Mapping and Its Importance in Six Sigma
› 1.2 Identify Key Elements of a Process Map
› 1.3 Explore Different Types of Process Mapping Techniques
› 1.4 Analyze a Process Using Flowcharting Methods
› 1.5 Create Your Own Simple Process Map
› 1.6 Evaluate and Improve a Process Map for Efficiency
• 2 Types of Process Maps and Flowcharts — 6 classes
› 2.1 Identify Key Elements of Process Maps
› 2.2 Differentiate Between Types of Process Maps
› 2.3 Construct Basic Flowcharts for Simple Processes
› 2.4 Analyze Complex Processes Using Swimlane Diagrams
› 2.5 Apply Value Stream Mapping to Identify Waste
› 2.6 Create a Comprehensive Process Map for a Real-World Scenario
• 3 Tools and Techniques for Effective Process Mapping — 6 classes
› 3.1 Identify Key Process Components for Mapping
› 3.2 Utilize Flowcharts to Visualize Processes
› 3.3 Apply SIPOC Diagrams for Process Context
› 3.4 Analyze Value Stream Mapping to Improve Efficiency
› 3.5 Implement Swim Lane Diagrams for Clarifying Roles
› 3.6 Develop Action Plans Based on Process Analysis
• 4 Analyzing Process Maps for Improvement Opportunities — 6 classes
› 4.1 Identify Key Components of Process Maps
› 4.2 Interpret Process Symbols and Notations
› 4.3 Analyze Current State vs. Future State Processes
› 4.4 Detect Bottlenecks and Inefficiencies in Process Maps
› 4.5 Evaluate Improvement Opportunities Using SWOT Analysis
› 4.6 Develop Action Plans for Process Improvement Initiatives
• 5 Implementing Changes and Measuring Outcomes — 6 classes
› 5.1 Identify Key Areas for Process Improvement
› 5.2 Develop a Change Implementation Plan
› 5.3 Engage Stakeholders in the Change Process
› 5.4 Execute Change Initiatives Effectively
› 5.5 Measure Outcomes Using Appropriate Metrics
› 5.6 Analyze Results and Refine Processes
5 Project Assessment and Reporting 5 chapters · 24 classes  45 marks
• 1 Understanding Project Assessment Frameworks — 6 classes
› 1.1 Define Key Concepts in Project Assessment Frameworks
› 1.2 Identify Components of Effective Project Assessment Models
› 1.3 Compare Different Project Assessment Frameworks
› 1.4 Evaluate the Suitability of Frameworks for Various Projects
› 1.5 Analyze Real-World Case Studies Using Assessment Frameworks
› 1.6 Develop a Project Assessment Report Using Chosen Framework
• 2 Identifying Key Performance Indicators (KPIs) — 6 classes
› 2.1 Define Key Performance Indicators (KPIs) in Project Management
› 2.2 Explore the Importance of KPIs in Measuring Project Success
› 2.3 Identify Different Types of KPIs Relevant to Various Projects
› 2.4 Develop SMART Criteria for Effective KPIs
› 2.5 Create a KPI Dashboard for Effective Project Monitoring
› 2.6 Analyze Real-World Case Studies to Evaluate KPI Effectiveness
• 3 Data Collection and Analysis Techniques — 6 classes
› 3.1 Identify Key Data Collection Methods
› 3.2 Explore Qualitative vs. Quantitative Data
› 3.3 Implement Effective Sampling Techniques
› 3.4 Utilize Data Collection Tools and Software
› 3.5 Analyze Data Patterns and Trends
› 3.6 Communicate Data Insights Through Reporting
• 4 Creating Effective Project Status Reports — 6 classes
› 4.1 Identify Key Components of Effective Status Reports
› 4.2 Analyze Stakeholder Needs for Reporting
› 4.3 Develop Clear and Concise Messaging Strategies
› 4.4 Utilize Visual Data Representation Techniques
› 4.5 Implement Best Practices for Report Structuring
› 4.6 Evaluate Report Impact and Gather Feedback
• 5 Interpreting Results and Making Recommendations
6 Statistical Tools for Quality Management 5 chapters · 30 classes  85 marks
• 1 Understanding the Role of Statistics in Quality Management — 6 classes
› 1.1 Define the Importance of Statistics in Quality Management
› 1.2 Explore Key Statistical Concepts Relevant to Quality Control
› 1.3 Interpret Data Types and Their Significance in Quality Analysis
› 1.4 Analyze Common Statistical Tools Used in Quality Management
› 1.5 Apply Statistical Methods to Real-World Quality Issues
› 1.6 Evaluate the Impact of Statistical Decisions on Quality Outcomes
• 2 Descriptive Statistics for Quality Assessment — 6 classes
› 2.1 Define Key Concepts in Descriptive Statistics
› 2.2 Explore Measures of Central Tendency and Their Applications
› 2.3 Analyze Measures of Dispersion: Range, Variance, and Standard Deviation
› 2.4 Interpret Data Distributions Using Histograms and Box Plots
› 2.5 Utilize Descriptive Statistics to Summarize Quality Data
› 2.6 Apply Descriptive Statistics Tools in Quality Improvement Initiatives
• 3 Inferential Statistics and Hypothesis Testing — 6 classes
› 3.1 Define Inferential Statistics and Its Importance in Quality Management
› 3.2 Identify Key Concepts in Hypothesis Testing
› 3.3 Differentiate Between Null and Alternative Hypotheses
› 3.4 Explain the Steps Involved in Hypothesis Testing
› 3.5 Apply p-Values and Confidence Intervals in Decision Making
› 3.6 Analyze Case Studies to Illustrate Hypothesis Testing in Action
• 4 Control Charts: Monitoring and Control in Quality Management — 6 classes
› 4.1 Define Control Charts and Their Purpose in Quality Management
› 4.2 Identify Different Types of Control Charts and Their Uses
› 4.3 Understand Key Components of Control Charts: Center Line, Control Limits, and Data Points
› 4.4 Construct a Simple Control Chart Using Real Data
› 4.5 Analyze Trends and Patterns in Control Charts for Process Improvement
› 4.6 Implement Control Charts in a Quality Management Framework
• 5 Advanced Statistical Techniques for Quality Improvement — 6 classes
› 5.1 Explore Control Charts for Process Stability
› 5.2 Analyze Variation with Statistical Process Control
› 5.3 Implement Capability Analysis for Quality Assessment
› 5.4 Utilize Design of Experiments for Process Optimization
› 5.5 Apply Hypothesis Testing to Validate Improvements
› 5.6 Synthesize Findings into Actionable Quality Strategies
LAPT — 85 Great Portland Street, W1W 7LT, London, United Kingdom
info@lapt.org  •  +44 7513 283044  •  lapt.org		 UKPRN 10067351  •  Company 4984798
Curriculum current at the date of issue.