Six Sigma Black Belt Online Training Ecorptrainings

Six Sigma Black Belt Online Training Ecorptrainings Hyderabad In India

Six Sigma is a set of techniques and tools for process improvement.Six Sigma seeks to improve the quality of the output of a process by identifying and removing the causes of defects (errors) and minimizing variability in manufacturing and business processes. It uses a set of quality management methods, mainly empirical, statistical methods, and creates a special infrastructure of people within the organization, who are experts in these methods.

Course Content
Introduction
Six Sigma Overview, Origin and Application
What is Six Sigma?
DMAIC, DFSS , IDOV approaches to Six Sigma
Six sigma and Organization Structure
Define
Voice of Customer (VOC)
Tools for preliminary VOC analysis
CTQ Tree
Affinity Diagram
Kano Model
Project Charter and Plan
Translating business issues to projects
Building Goal/Problem Statement
Project Scoping
Selection of Team Members
Assigning of Roles for Team Members
Deriving Project Schedule
Putting together the Business Case and Project Sign Off.
Six Sigma Finance Potential savings and their link to defects; estimating potential savings; Cost Avoidance vs. Costs Reduction.
SIPOC or COPIS or POCIS
Project selection tools- Pugh matrix and Prioritization matrix
Team Definition / performance
ARMI
GRPI-Goals , Roles, Processes, Interpersonal
Measure Process Map Analysis and FMEA
Types of process flow charts
VA / NVA Analysis
Types of FMEA
Process FMEA
Measure Lean
What is a Lean or Toyota Production system?
Why Implement Lean?
Understanding the Lean Concepts
Eight Waste
5-Whys
Value Stream Mapping
Takt Time
Continuous Flow
Kaizen
Autonomation
Push vs Pull
Elements of current VSM
Elements of future VSM
Measure Phase
Understanding data
Normal distribution
Z Value computation
Normality test and handling of non- normal data
Identifying different Xs using Fishbone diagram
Cause and Effect matrix
Measurement System Analysis Attribute Gage R&R
Key issues in measuring quality
Calibration guidelines
Attribute Gage R&R
Sampling
Sampling approach
Random Sampling
Random Stratified Sampling
Systematic Sampling
Rational sub-grouping
Sampling considerations
Calculating sample size: Continuous Data
calculating sample size: Discrete Data
Process Capability
Cp and Cpk
Pp and Ppk
Analyze Phase
Data Analysis
Pareto Chart
Histogram
Run Chart
Box plot
Scatter Plot
Multi Vari chart
Process Behavior charts
ImR chart
x bar S, X Bar R chart
Charts for Binomial count
np chart
p chart
Chart for Poisson count
c chart
u chart
Hypothesis testing
z test
t test
2 sample t test
Paired t test
Sample proportion
2 sample proportion
One Way ANOVA
Two way ANOVA
Chi Square test
1 sample Wilcoxon
One way Mood s Median
One way Kruskal Wallis
2 sample Mann-Whitney
Regression Analysis
Multiple Regression Analysis
Logistic regression
Improve and Control Phase
SCAMPER
Brain writing
Control-Impact Matrix
Prioritising solutions
Piloting the Solution
Process Control systems
Process control charts- ImR, p, np,c,u charts
New Process capability-Cp, Cpk
IDOV Phases of DFSS-
Identify
QFD
Design
Introduction to TRIZ
Core concepts
Contradiction thinking
Ideal Final Result
Systems Thinking
Functional Modeling
Optimize and Verify
Introduction to DOE- Design of Experiments
Aspects of Shainin DOE