Duration: 5 days – 35 hrs
Overview
The Lean Six Sigma Green Belt Training Program is designed for professionals seeking to further enhance their knowledge in both Lean & Six Sigma methodologies and principles. This
intermediate comprehensive course equips participants with the advanced tools and techniques to lead complex process improvement initiatives within their organizations. This program empowers attendees to identify, analyze, and solve business, process and quality problems, leading to improved efficiency and productivity within the company.
Objectives
• Understanding Lean Six Sigma Concepts: Gain a solid grasp of Lean Six Sigma principles, including the DMAIC (Define, Measure, Analyze, Improve, Control) methodology.
• Process Improvement Tools: Learn to apply basic Lean Six Sigma tools such as process mapping, root cause analysis, and basic statistical techniques.
• Role of a Green Belt: Understand the role and responsibilities of a Yellow Belt within a Six Sigma project team.
• Practical Application: Engage in hands-on exercises and real-world case studies to apply learned concepts to practical scenarios.
• Collaboration and Teamwork: Develop skills to work effectively in project teams, supporting Green Belts and Black Belts in driving process improvements.
Audience
• Entry-Level Employees: Individuals new to Lean Six Sigma seeking to build a foundational understanding.
• Team Members: Employees who will support or participate in Lean Six Sigma projects.
• Professionals Seeking Career Growth: Those looking to enhance their skills and contribute to organizational improvement initiatives.
• Managers and Supervisors: Leaders who wish to understand Lean Six Sigma principles to better support their teams.
• Business Analysts: Professionals responsible for analyzing business needs and developing solutions to improve processes.
• Process Managers: Individuals who oversee business processes and are tasked with ensuring efficiency and effectiveness in operations.
• Quality Assurance Professionals: Those who ensure that business processes meet quality standards and are continuously improved.
• Project Managers: Leaders who manage projects that involve process improvement initiatives, ensuring that they are completed on time and within budget.
• Operations Managers: Managers responsible for overseeing day-to-day operations and seeking ways to improve operational efficiency.
• Continuous Improvement Specialists: Experts focused on driving ongoing improvements in business processes and practices.
• Change Management Professionals: Individuals responsible for managing and facilitating change initiatives, particularly those involving process improvements.
• IT Professionals: Those involved in developing, implementing, or maintaining systems that support process improvements.
• Middle and Senior Management: Leaders who are responsible for strategic decision-making and the implementation of process improvement initiatives across the organization.
• Consultants: External advisors who help organizations identify and implement process improvements.
Prerequisites
• Participants should ideally have completed Lean Six Sigma Yellow Belt Training. Optional and not required.
• Participants should at least have a basic knowledge and usage of Microsoft Excel and PowerPoint
Course Content
INTRODUCTION AND PRINCIPLES OF LEAN SIX SIGMA
• CONTEXT OF PROBLEM SOLVING
• PRACTICAL DEFINITION OF LEAN SIX SIGMA
• WHAT IS SIX SIGMA?
• Six Sigma Principles
• WHAT IS LEAN?
• Lean Principles
• Types of Waste
• LEAN VS. SIX SIGMA
• LEAN SIX SIGMA COMBINED
• LSS BELTS, ROLES AND RESPONSIBILITIES
• IDENTIFYING SOURCES OF PROJECTS & PROJECT SELECTION
• Voice of the Customer
• Critical to Quality
• Types of Lean Six Sigma Projects
DMAIC METHODOLOGY
DEFINE
• What is a Project Charter
• Writing a Problem & Goal Statement
• Project Scoping and Team Members
• Creating a high-level process or SIPOC
• Monthly Metric/KPI Baselining
• Stakeholder Analysis
• RACI Matrix
MEASURE
• Identifying Types of Data
• Basic/Descriptive Statistics (Average and Standard Deviation)
• Creating a data collection plan
• Trend and Patterns Using Run Chart
• Dirty Data and Data Cleaning
• Sampling Techniques
• Detailed Process mapping, Swim Lane and Value Stream Mapping (Optional)
• Time & Motion Study
ANALYZE
• Brainstorming
• Fishbone/Ishikawa Diagrams
• Exploratory Data Analysis/Data Stratification/Segmentation
• Graphical Analysis (Scatterplot, Boxplot, Histogram etc)
• Process Time Analysis
• Pareto Analysis
• 5 Why Analysis
IMPROVE
• Choosing the best solution
• Creating Action Plans
• Change Management (ADKAR Model / Optional)
• 5S and Visual Management (optional)
CONTROL
• Failure Modes and Effects Analysis (FMEA)
• Mistake Proofing/Poka-Yoke
• Standardization Plan
• Creating a Control Plan
