Six Sigma

"Six Sigma is a comprehensive methodology and set of tools used for process improvement and achieving operational excellence in various industries. It is a structured approach that emphasizes data-driven decision-making and continuous improvement. Six Sigma is a data-driven methodology that aims to identify and eliminate defects or variations in processes to enhance quality and efficiency. It is widely recognized for its impact on reducing errors and enhancing productivity. Developed initially by Motorola and popularized by companies like General Electric, Six Sigma has become a global standard for process improvement.

Six Sigma Syllabus

CHAPTER 1: WHAT IS SIX SIGMA?
CHAPTER 2: SIX SIGMA HISTORY AND APPLICATION
CHAPTER 3: OTHER PROCESS IMPROVEMENT AND QUALITY METHODS
CHAPTER 4: LEAN CONCEPTS
CHAPTER 5: BASIC SIX SIGMA CONCEPTS
CHAPTER 6: APPROACHING THE PROBLEM

CHAPTER 7: WHAT IS A PROCESS?
CHAPTER 8: QUALITY
CHAPTER 9: SELECTING THE RIGHT PROJECTS
CHAPTER 10: BASIC SIX SIGMA TEAM MANAGEMENT
CHAPTER 11: INTRODUCTION TO DMAIC AND DMADV

CHAPTER 12: DEFINE
CHAPTER 13: MEASURE
CHAPTER 14: ANALYZE
CHAPTER 15: IMPROVE
CHAPTER 16: CONTROL

CHAPTER 17: INTERMEDIATE GRAPHICAL ANALYSIS
CHAPTER 18: NORMAL PROBABILITY DISTRIBUTIONS
CHAPTER 19: CORRELATION AND REGRESSION

CHAPTER 20: NON-NORMAL PROBABILITY DISTRIBUTIONS
CHAPTER 21: HYPOTHESIS TESTING
CHAPTER 22: SAMPLE SIZE
CHAPTER 23: ADVANCED CONTROL CHARTS
CHAPTER 24: APPLYING STATISTICS TO BUSINESS APPLICATIONS THROUGH SIX SIGMA

CHAPTER 25: INTRODUCTION TO MINITAB
CHAPTER 26: GRAPHS AND QUALITY TOOLS IN MINITAB
CHAPTER 27: THE STAT MENU IN MINITAB

CHAPTER 28: ANALYSIS OF VARIANCE (1-WAY ANOVA)
CHAPTER 29: DESIGN OF EXPERIMENTS
CHAPTER 30: INTERACTIONS, MULTI-LEVEL FACTORIALS, AND CREATING EXPERIMENTS

CHAPTER 31: BRAINSTORMING AND PROCESS IMPROVEMENT TOOLS
CHAPTER 32: PROCESS MAPS
CHAPTER 33: VALUE STREAM MAPPING