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Gain knowledge of the DMAIC approach defined by ASQ, along with statistical tools to quantify process performance.


Course Description

By completing this program the participant will be able to identify and eliminate errors or defects in a business process, improve employee acceptance, reduce costs, and increase revenue—all of which lead to a better bottom line.
The world’s best value for money complete Six Sigma Green Belt training as per American Society for Quality (ASQ) Six Sigma Green Belt Body of Knowledge (BoK).
Skills acquired:
  1. Problem Solving Basic statistics & Six Sigma tools
  2. Process mapping and measurement (DMAIC)
  3. Establish customer requirements
  4. Measure and quantify process performance
  5. Variance analysis (Statistically & analytical)
Our SSGB course curriculum is aligned to the American Society for Quality (ASQ) Body of Knowledge.
Pass the SSGB certification exam and become a certified professional in Quality Management.

Learning Outcomes

After attending this course, participants will be able to demonstrate a strong knowledge of Six Sigma tools and techniques and will be prepared to take up the ASQ CSSGB certification exam

Pre-requisites

No particular requirements in terms of educational background, work experience or other stuff like access to specific software’s etc. A graduate level education is recommended, as well as an exposure to Statistics and Statistical Tools like Minitab and SPSS.

Who is this course intended for?

Quality management professionals across sectors like Manufacturing, Medicine, IT/ITeS, Banking & Finance and others. Also, anyone interested to learn more about Six Sigma tools and techniques can take up this course.

 

Course Curriculum

What is Six Sigma
What is Six Sigma 00:00:00
BPM Six Sigma Structure and Lean
BPM Six Sigma Structure and Lean 00:00:00
Introduction to DFSS, FMEA and Normality
Introduction to DFSS, FMEA and Normality 00:00:00
Introduction to Define Phase and QFD
Introduction to Define Phase and QFD 00:00:00
Project Charter
Project Charter 00:00:00
VoC and CTQ
VoC and CTQ 00:00:00
Project Metrics and SIPOC
Project Metrics and SIPOC 00:00:00
Measure Phase and Data Types
Measure Phase and Data Types 00:00:00
Descriptive Statistics and Graphical Summary
Descriptive Statistics and Graphical Summary 00:00:00
Probability Distribution
Probability Distribution 00:00:00
MSA and Gage R and R
MSA and Gage R and R 00:00:00
Process Capability Study
Process Capability Study 00:00:00
Pareto Chart and Run Chart
Pareto Chart and Run Chart 00:00:00
Box Plot Hypothesis Testing
Box Plot Hypothesis Testing 00:00:00
Six Sigma Analysis Tools
Six Sigma Analysis Tools 00:00:00
Multivariate ANOVA and T-Test
Multivariate ANOVA and T-Test 00:00:00
Improve Phase
Improve Phase 00:00:00
Design of Experiments
Design of Experiments 00:00:00
Statistical Process Group (SPC)
Statistical Process Group (SPC) 00:00:00
SPC 8 Rules and Types of Control Chart
SPC 8 Rules and Types of Control Chart 00:00:00
Types of Control Chart and Control Plan
Types of Control Chart and Control Plan 00:00:00
SSGB Reference Material
01 – What is SixSigma 00:00:00
02 – BPM Six Sigma Structure Lean 2 00:00:00
03 – Introduction to DFSS FMEA Normal Curve 00:00:00
04 – Introduction to Define QFD 00:00:00
05 – VoC and CTQ 00:00:00
06 – ProjectCharter 00:00:00
07 – Project Metrics SIPOC 00:00:00
08 – Measure Datatypes 00:00:00
09 – Descriptive Stat Graphical Summary 00:00:00
10 – Probability Distribution 00:00:00
11 – MSA and Gage R and R 00:00:00
12 – Capability Study 00:00:00
13 – Pareto Chart Run Chart 00:00:00
14 – Box Plot Hypothesis Testing 00:00:00
15 – Analysis Tools 00:00:00
16 – Multivariate ANOVA Test 00:00:00
17 – Improve Phase 00:00:00
18 – DOE 00:00:00
19 – SPC 00:00:00
20 – SPC 8 Rules Control Chart 00:00:00
21 – Types of Charts and Control Plan 00:00:00
SSGB Flashcards
SSGB Flashcards 00:00:00
Mock Test Paper
Mock Test Paper 00:00:00

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