I-CERT Lean Six Sigma Black Belt Certification

Learning Objectives

By the end of this course, learners will be able to:

What Is Six Sigma?

• Understand the definition and purpose of Six Sigma
• Learn how it improves process efficiency and quality
• Recognize its role in organizational excellence

Six Sigma History and Application

• Explore the evolution of Six Sigma methodologies
• Understand real-world industry applications
• Identify its impact on operational and business success

Other Process Improvement and Quality Methods

• Compare Six Sigma with Lean, TQM, Kaizen, and other methods
• Integrate multiple methodologies for optimal results
• Learn benefits of combined process improvement approaches

Lean Concepts

• Apply Lean principles to reduce waste
• Improve process flow and efficiency
• Integrate Lean tools with Six Sigma initiatives

Basic Six Sigma Concepts

• Learn core Six Sigma principles and terminology
• Understand process variation and control fundamentals
• Build a foundation for advanced improvement techniques

Approaching the Problem

• Apply structured problem-solving methods
• Identify critical process issues
• Plan improvement initiatives using analytical thinking

What Is a Process?

• Define and analyze organizational processes
• Understand process inputs, outputs, and flow
• Identify opportunities for process optimization

Quality

• Understand quality concepts and standards
• Learn how to measure and maintain process quality
• Apply quality principles to improve customer satisfaction

Selecting the Right Projects

• Identify high-impact Six Sigma projects
• Align projects with strategic business goals
• Prioritize initiatives based on ROI and feasibility

Basic Six Sigma Team Management

• Understand team roles and responsibilities
• Apply collaboration and communication strategies
• Facilitate effective team problem-solving

Introduction to DMAIC and DMADV

• Learn DMAIC and DMADV methodologies
• Solve process and product challenges effectively
• Establish a structured approach for continuous improvement

Define

• Define project goals, scope, and deliverables
• Capture the Voice of the Customer (VOC)
• Set measurable success metrics

Measure

• Collect and validate process data
• Perform measurement system analysis (MSA)
• Ensure data reliability for accurate assessment

Analyze

• Conduct root cause analysis
• Apply statistical tools to identify performance gaps
• Determine key drivers of process inefficiency

Improve

• Develop solutions to eliminate defects and gaps
• Optimize processes using Lean and Six Sigma techniques
• Test and implement improvement strategies

Control

• Implement control plans for sustainable improvements
• Monitor performance with control charts and KPIs
• Maintain long-term process stability

Intermediate Graphical Analysis

• Visualize data using charts and plots
• Identify patterns and variations in performance
• Support data-driven decisions

Normal Probability Distributions

• Apply normal distribution concepts in analysis
• Model and predict process behavior
• Make informed probabilistic decisions

Correlation and Regression

• Perform correlation and regression analysis
• Identify relationships between process variables
• Use models for process improvement predictions

Non-Normal Probability Distributions

• Analyze non-normal data distributions
• Apply alternative statistical methods for accuracy
• Ensure real-world process analysis validity

Hypothesis Testing

• Conduct hypothesis tests to validate assumptions
• Support decision-making and process improvement
• Ensure statistical confidence in change initiatives

Sample Size

• Determine optimal sample sizes
• Plan experiments with statistical confidence
• Reduce errors in data analysis and decision-making

Advanced Control Charts

• Implement control charts for complex processes
• Detect deviations and take corrective actions
• Monitor high-variation processes effectively

Applying Statistics to Business Applications Through Six Sigma

• Use statistical tools to support business decisions
• Apply Six Sigma for strategic process improvement
• Interpret data to drive operational and financial outcomes

Introduction to Minitab

• Learn Minitab for data analysis
• Perform basic statistical tests and charts
• Enhance accuracy in Six Sigma projects

Graphs and Quality Tools in Minitab

• Apply graphical tools for process visualization
• Use quality tools in Minitab for process improvement
• Support data-driven problem-solving

The Stat Menu in Minitab

• Conduct advanced statistical analyses using Minitab
• Perform regression, correlation, and hypothesis testing
• Strengthen data-backed improvement initiatives

Analysis of Variance (1-Way ANOVA)

• Compare multiple groups using ANOVA techniques
• Identify significant performance differences
• Support evidence-based process decisions

Design of Experiments

• Apply DOE principles for process optimization
• Explore factor interactions and process variables
• Drive innovation and continuous improvement

Interactions, Multi-Level Factorials, and Creating Experiments

• Conduct multi-factor and interaction experiments
• Design complex experiments to enhance process performance
• Implement results for strategic improvement initiatives

Brainstorming and Process Improvement Tools

• Facilitate brainstorming for idea generation
• Apply creative problem-solving tools
• Implement practical process improvement projects

Process Maps

• Develop process maps for visual workflow understanding
• Identify inefficiencies and improvement opportunities
• Improve team alignment and communication

Value Stream Mapping

• Apply value stream mapping (VSM) to analyze workflows
• Identify value-added vs non-value-added activities
• Optimize processes for Lean efficiency and operational excellence