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Six Sigma Black Belt Course Overview
Lean Six Sigma Black Belts are highly trained professionals in Quality improvement methodology, who are able to apply Six Sigma principles to business processes and lead a quality improvement initiative. They are well versed in the Six Sigma Methodology and can skillfully lead and assume full responsibility for large scale quality improvement projects. They are competent in the use of six Sigma tools and techniques and standard principles.
Lean Six Sigma Black Belt Curriculum
Define Phase: The Basics of Six Sigma
- Meaning of Six Sigma
- General History of Six Sigma & Continuous Improvement
- Deliverables of a Lean Six Sigma Project
- The Problem Solving Strategy Y=F(x)
- Voice of the Customer, Business and Employee
- Six Sigma Roles & Responsibilities
Define Phase: The Fundamentals of Six sigma
- Defining a Process
- Critical to Quality Characteristics (CTQ’s)
- Cost of Poor Quality (COPQ)
- Pareto Analysis (80:20 rule)
- Basic Six Sigma Metrics: including DPU, DPMO, FTY, RTY Cycle Time, deriving these metrics
Define Phase: Selecting Lean Six Sigma Projects
- Building a Business Case & Project Charter
- Developing Project Metrics
- Financial Evaluation & Benefits Capture
Define Phase: The Lean Enterprise
- Understanding Lean
- The History of Lean
- Lean & Six Sigma
- The Seven Elements of Waste: a. Overproduction, Correction, Inventory, Motion, Over processing, Conveyance, Waiting
- 5S: Straighten, Shine, Standardize, Self-Discipline, Sort
Measure Phase: Process Definition
- Cause & Effect / Fishbone Diagrams
- Process Mapping, SIPOC, Value Stream Map
- X-Y Diagram
- Failure Modes & Effects Analysis (FMEA)
Measure Phase: Six Sigma Statistic
- Basic Statistics
- Descriptive Statistics
- Normal Distributions & Normality
- Graphical Analysis
Measure Phase: Measurement System Analysis
- Precision & Accuracy
- Bias, Linearity & Stability
- Gage Repeatability & Reproducibility
- Variable & Attribute MSA
Measure Phase: Process Capability
- Capability Analysis
- Concept of Stability
- Attribute & Discrete Capability
- Monitoring Techniques
Analyze Phase: Patterns of Variation
- Multi-Vari Analysis
- Classes of Distributions
Analyze Phase: Inferential Statistics
- Understanding Inference
- Sampling Techniques & Uses
- Central Limit Theorem
Analyze Phase: Hypothesis Testing with Normal Data
- 1 & 2 sample t-tests
- 1 sample variance
- One Way ANOVA: a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.
Analyze Phase: Hypothesis Testing
- General Concepts & Goals of Hypothesis Testing
- Significance; Practical vs. Statistical
- Risk; Alpha & Beta
- Types of Hypothesis Test
Analyze Phase: Hypothesis Testing with Non-Normal data
- Mann-Whitney
- Kruskal-Wallis
- Mood’s Median
- Friedman
- 1 Sample Sign
- 1 Sample Wilcoxon
- One and Two Sample Proportion
- Chi-Squared (Contingency Tables): a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.
Improve Phase: Simple Linear Regression
- Correlation
- Regression Equations
- Residuals Analysis
Improve Phase: Multiple Regression Analysis
- Non- Linear Regression
- Multiple Linear Regression
- Confidence & Prediction Intervals
- Residuals Analysis
- Data Transformation, Box Cox
Improve Phase: Designed Experiments
- Experiment Objectives
- Experimental Methods
- Experiment Design Considerations
Improve Phase: Full Factorial Experiments
- 2k Full Factorial Designs
- Linear & Quadratic Mathematical Models
- Balanced & Orthogonal Designs
- Fit, Diagnose Model and Center Points
Improve Phase: Fractional Factorial Experiments
- Designs
- Confounding Effects
- Experimental Resolution
Control Phase: Lean Controls
- Control Methods for 5S
- Kanban
- Poka-Yoke (Mistake Proofing)
Control Phase: Statistical Process Control(SPC)
- Data Collection for SPC
- I-MR Chart
- Xbar-R Chart
- U Chart
- P Chart
- NP Chart
- X-S chart
- X-S chart
- CumSum Chart
- EWMA Chart
- Control Chart Anatomy
- Subgroups, Impact of Variation, Frequency of Sampling
- Center Line & Control Limit Calculations
Control Phase: Six Sigma Control Plans
- Cost Benefit Analysis
- Elements of the Control Plan
- Elements of the Response Plan
Get Free Career Guidance
- Pre-requisites
CAREER OPPORTUNITIES FOR LEAN SIX SIGMABLACK BELTS
Any IT Professional who has a minimum 1 year of experience.
Delivery Leaders.
Business Analyst/ Data Analyst.
Project Managers.
Process Improvement Experts.
Program Managers.
Operation Team Leaders.
There is no experience criteria for undergoing the Lean Six Sigma Green Belt Certification.
Eligibility
This Black Belt Six Sigma certification course is suitable for people who are senior managers, team leaders, software professionals, project managers, quality assurance engineers, and management professionals.
Prateek Piley — “Happy to share this review, Nice trained & professional staff, Excellent coordination with everyone, help in solving your queries.
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Thursday, August 31, 2017
sudhir bagadhi — “I am very happy with the training and material .It is very effective and all topics were covered and overall maintained standards absolutely.Its a great experience to be a part of training.”
Thursday, August 31, 2017
Anil Tatipaka — “I have recently completed PSM training through NeoSkills, this is my second training with them (previously I complete Prince2 Agile) and both the times I had a good experience with learning..”
Thursday, August 31, 2017
amrut limkar — Nice coordination with the staff.
Ashish was very helpful giving nice training
Overall very nice experience to complete the training and exam..”
Thursday, August 31, 2017