Welcome to “Lean: Excellence Through Lean Six Sigma” video lesson, which emphasizes that all performance improvement philosophies are valuable and there is a lot of overlap between them, especially between Lean and Six Sigma. This lesson is the fifth of five in the “Lean: Doing More with Less (Manufacturing Version)” video course, which proposes ways to eliminate waste in the processes at your organization. In the end, viewers will learn what Lean Six Sigma is as a mashup philosophy and how it applies both Lean and Six Sigma concepts.
Overview
COURSE DIFFICULTY
COURSE DURATION
8m
Skills Learned
After completing this online training course, students will be able to:
Identify Key Principles of Lean Six Sigma
Implement Effective Process Improvement Strategies
Analyze Data to Drive Decision-Making
Reduce Waste and Increase Efficiency
Foster a Culture of Continuous Improvement
Manufacturing Managers, Process Improvement Specialists, Quality Assurance Professionals, Operations Team Members, Lean Practitioners
Basic Understanding of Manufacturing Processes, Familiarity with Quality Management Systems
01. Introduction to Lean Six Sigma
02. Key Concepts of Lean Manufacturing
03. Tools and Techniques for Process Improvement
04. Data Analysis and Measurement Systems
05. Case Studies and Practical Applications
SKILLS LEARNED
Skills Learned
After completing this online training course, students will be able to:
Identify Key Principles of Lean Six Sigma
Implement Effective Process Improvement Strategies
Analyze Data to Drive Decision-Making
Reduce Waste and Increase Efficiency
Foster a Culture of Continuous Improvement
WHO SHOULD ATTEND
Manufacturing Managers, Process Improvement Specialists, Quality Assurance Professionals, Operations Team Members, Lean Practitioners
PREREQUISITES
Basic Understanding of Manufacturing Processes, Familiarity with Quality Management Systems
COURSE OUTLINE
01. Introduction to Lean Six Sigma
02. Key Concepts of Lean Manufacturing
03. Tools and Techniques for Process Improvement
04. Data Analysis and Measurement Systems
05. Case Studies and Practical Applications