Lean Six Sigma Black Belt Certification Training

sigma-black-1-e1569482672218-1-1
19
Sep

Lean Six Sigma Black Belts are highly trained professionals in Quality improvement methodology, who are able to apply a combination of Lean and Six Sigma principles to business processes. They are well versed in the Lean 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 of Lean. A Lean Six Sigma Black Belt has a thorough grounding in all aspects within the phases of D-M-A-I-C (Define, Measure, Analyze, Measure, Control), and can identify non-value-added elements and activities. Six Sigma certified professionals work on continual quality improvement by analyzing and solving quality problems, and creating a high performance organization. The Six Sigma Black Belt is the fifth level of certification, after the Green Belt.
Certified Black Belts should be able to assume team leadership with confidence, and allocate responsibilities and team member roles. This course will give you a thorough and detailed understanding of Six Sigma and its focus on eliminating defects through process improvement and variation reduction. The intensive course is designed to help you navigate the Lean Six Sigma Black Belt Certification Exam syllabus, and aim for a first time pass of the Black Belt exam.

Prerequisites

While there are no prerequisites required to appear for the IASSC Certified Lean Six Sigma Black Belt Exam, it is recommended that those sitting for the exam have some degree of real-world Lean Six Sigma work and project application experience and have undergone the Lean Six Sigma training through a qualified institution (such as KnowledgeHut). For more about this please visit the FAQs page http://www.iassc.org/faqs/

Who can Attend:
The Six Sigma Black Belt program is designed for professionals and students who want to develop the ability to lead process-improvement initiatives. An indicative list of participants in this course can include: • Financial/business analyst

  •  Commodity manager
  •  Project manager
  •  Quality manager
  •  Business development manager
  •  Manufacturing process engineer
  •  Continuous improvement director
  •  Business managers or consultants
  •  Project manager/Program Manager
  •  Director or VP of Operations
  •  CEO, CFO, CTO

Course Content

Time: 10 weeks

Curriculum is empty

Curriculum

Define Phase The Basics of Six Sigma
  •  Meanings of Six Sigma
  •  General History of Six Sigma & Continuous Improvement
  •  Deliverables of a Lean Six Sigma Project
  •  The Problem Solving Strategy Y = f(x) 1.1.5 Voice of the Customer, Business and Employee
  •  Six Sigma Roles & Responsibilities
The Fundamentals of Six Sigma
  •  Critical to Quality Characteristics (CTQs)
  •  Cost of Poor Quality (COPQ)
  •  Pareto Analysis (80:20 rule)
  •  Basic Six Sigma Metrics: including DPU, DPMO, FTY, RTY Cycle Time, deriving these metrics
Selecting Lean Six Sigma Projects
  •  Building a Business Case & Project Charter
  •  Developing Project Metrics
  •  Financial Evaluation & Benefits Capture
The Lean Enterprise
  •  Understanding Lean
  •  The History of Lean
  •  Lean & Six Sigma
  •  The Seven Elements of Waste: a. Overproduction, Correction, Inventory, Motion, Overprocessing, Conveyance, Waiting 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)
Six Sigma Statistics
  •  Basic Statistics
  •  Descriptive Statistics
  •  Normal Distributions & Normality
  •  Graphical Analysis
Measurement System Analysis
  •  Precision & Accuracy
  •  Bias, Linearity & Stability
  •  Gage Repeatability & Reproducibility
  •  Variable & Attribute MSA
Process Capability
  •  Capability Analysis
  •  Concept of Stability
  •  Attribute & Discrete Capability
  •  Monitoring Techniques
Analyze Phase Patterns of Variation
  •  Multi-Vari Analysis
  •  Classes of Distributions
Inferential Statistics
  •  Understanding Inference
  •  Sampling Techniques & Uses
  •  Central Limit Theorem
Hypothesis Testing
  •  General Concepts & Goals of Hypothesis Testing
  •  Significance; Practical vs. Statistical
  •  Risk; Alpha & Beta
  •  Types of Hypothesis Test
Hypothesis Testing with Normal Data
  •  sample t-tests
  •  sample variance
  •  One Way ANOVA: a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.
Hypothesis Testing with Non-Normal Data
  •  Mann-Whitney
  •  Kruskal-Wallis
  •  Moods Median
  •  Friedman
  •  Sample Sign
  •  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
Multiple Regression Analysis
  •  Non- Linear Regression
  •  Multiple Linear Regression
  •  Confidence & Prediction Intervals
  •  Residuals Analysis
  •  Data Transformation, Box Cox
Designed Experiments
  •  Experiment Objectives
  •  Experimental Methods
  •  Experiment Design Considerations
Full Factorial Experiments
  •  Full Factorial Designs
  •  Linear & Quadratic Mathematical Models
  •  Balanced & Orthogonal Designs
  •  Fit, Diagnose Model and Center Points
Fractional Factorial Experiments
  •  Designs
  •  Confounding Effects
  •  Experimental Resolution
Control Phase Lean Controls
  •  Control Methods for 5S
  •  Kanban
  •  Poka-Yoke (Mistake Proofing)
Statistical Process Control (SPC)
  •  Data Collection for SPC
  •  I-MR Chart
  •  Xbar-R Chart
  •  U Chart
  •  P Chart
  •  NP Chart
  •  X-S chart
  •  CumSum Chart
  •  EWMA Chart
  •  Control Chart Anatomy
  •  Subgroups, Impact of Variation, Frequency of Sampling
  •  Center Line & Control Limit Calculations
Six Sigma Control Plans
  •  Cost Benefit Analysis
  •  Elements of the Control Plan
  •  Elements of the Response Plan

Course Details

 Duration: 5 Days

 Venue: TBA

Career Pathways

From the Course you will:
  •  Learn the principles and philosophy behind the Lean Six Sigma method
  •  Learn to apply statistical methods to improve business processes
  •  Design and implement Six Sigma projects
  •  Learn the DMAIC process
  •  Work on root cause analysis and basic statistical analyses on process measurements
  •  Learn to identify and control wasteful processes
  •  Learn to evaluate daily activities, to reduce cycle times, and improve quality
  •  Evaluate problems, statistically and quantitatively
  •  Increase profitability using Lean Six Sigma methodology
  •  Lead the Six Sigma team in your organization, and mentor Green and Yellow Belts
  •  Prepare for the IASSC LeanSix Sigma Black Belt certification exam
From the Workshop:
  •  40 PDUs
  •  High-quality training from experienced instructor
  •  Downloadable courseware
  •  End-to-end support via phone, email and chat

Certification

In order to get the professional designation of IASSC Certified Black Belt (ICBB) from the International Association for Six Sigma Certification, candidates must pass the IASSC Certified Lean Six Sigma Black Belt Exam with a minimum score of 580 points out of a total potential of 750 points. The ICBB Exam is a 4 hour 150 question, closed book, proctored exam. The Exam contains approximately 30 multiple-choice and true/false questions from each major section of the Black Belt Body of Knowledge which can be downloaded from this link: http://www.iassc.org/six-sigma-certification/black-belt-certification/black-belt-body-of-knowe dge/

About the Instructor

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