Black Belt Certification

Black Belt Certification

The Six Sigma Black Belt Certification is an advanced level certification in the journey of Six Sigma methodology. ICFQ ® provides black belt certification in Six Sigma, which helps in getting the overall picture of the Six Sigma key knowledge areas. A black belt certified professional is well versed with all the practical aspects of six sigma which includes the DMAIC framework. The ICFQ ® Six Sigma Black Belt Certification is of high quality and facilitates in bringing in professional excellence and career boost to all professionals. It helps in cementing the mutual trust with the organization and the professional with respect to the expectations in meeting the quality standards in the overall functioning.


Examination Pattern

The examination pattern consists of multiple-choice questions with 3 hours duration. The minimum score required for passing is 70%.


Requirements Of A Black Belt Professional

Acquiring an ICFQ ® Six Sigma Black Belt Certification demands the following requirements, which serves as the pre-requisites:-

i). An experience of three years full time in Six Sigma and other related domains.

ii). Experience in handling 1-2 complete projects, along with the signed affidavits Or a Six Sigma Green Belt Certification which would entail the above prerequisites.

Apart from the above, a Six Sigma Black Belt professional requires the following:-

i). Leadership Skills

ii). Communication Skills

iii). Innovative Thinking

iv). Customer-Centric Attitude

Role Definition

The Certified Six Sigma Black Belt is a professional who can explain Six Sigma philosophies and principles, including supporting systems and tools. Black belts have a thorough understanding of all aspects of the define, measure, analyze, improve and control (DMAIC) model in accordance with Six Sigma principles

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Course Content

History of Quality (Deming, Juran, Ishikawa, Taguchi, etc.)

Evolution of Six Sigma

Evolution of LEAN manufacturing

Six Sigma – philosophy and objectives

Deliverables of a Lean Six Sigma Project

Six Sigma Roles & Responsibilities

Meanings of Six Sigma

Data driven decision making

The Problem Solving Strategy Y = f(x)

Understanding How DMAIC and DMADV frame work

SIPOC - Identifying stakeholders and customers

Determining critical requirements

Identifying performance metrics

QFD - Quality Function Deployment

Voice of the Customer, Business and Employee

Market research

Project selection , Project prioritization , KANO Model , Juran's customer needs

Preparing project charter

Initiating teams, Stages of team evolution

Mapping As - is process flow

Understanding Critical to Quality (CTQ) and VOC to CTQ drill down

Cost of Poor Quality (COPQ) and its types

Enterprise wide View , Team Formation , Team Facilitation , Team Dynamics

Time Management For Teams

Team Decision making Tools

Management and Planning Tools

Conflict Management

Team Performance Evaluation and Rewards

Project management plan and Baselines

Project Tracking

Understanding of Data , Types of Data , Dimensions of Data

Population Data (VS) Sample data , Sampling Techniques

Sample Size calculation, Confidence level and confidence interval

Data collection template and techniques

Measurement system analysis - Calibration , Gauge R&R , KAPPA analysis

Central Limit Theorem

Stability and Distribution types

Data Transformation techniques

Descriptive statistics (Measure of central tendency & Measure of variation)

Base Line sigma calculation (DPU, DPMO, Cp,Cpk)

7 QC Tools (Histogram, Cause-and-Effect Diagrams / Fishbone Diagram, Pareto charts, Control Charts, Scatter diagrams, Process Mapping, Check Sheet)

5 Why Analysis , Control impact matrix, Affinity clustering

Data visualization - Box Plat , Tree Diagram, Multi Vari charts Trends and comparison charts

Hypothesis testing - Parametric test (Continuous Data , Discrete Data) Alpha & Beta errors

Non Parametric test (for Non Normal test)

Multivariate Analysis - Discriminant Analysis, Factor Analysis, Cluster Analysis, Multidimensional Scaling, Correspondence Analysis, Conjoint Analysis, Canonical Correlation

Structural Equation Modeling , Principal component analysis

Multivariate Analysis of Variance (MANOVA)

Need for DMADV frame work and its history

Introduction to "Design Thinking"

TRIZ methods of Solution generation

Prioritization Matrix

Risk Mitigation techniques

Creativity tools

Analyzing and verifying design

Reliability statistics

Fundamentals of lean , 5 principles of lean

Value add (VS) non value add and 8 Types of deadly waste

Value stream mapping - Lead Time , Processing Time, cycle time, Turn around Time, First Pass yield , Rolled Throughput Yield, Process cycle efficiency

Heijunka - Leveling, Sequencing, Stability, TAKT time

Jidoka, Poke Yoke, Autonomation, Built-in Quality, Stopping at Abnormalities

Visual Management, 5 S implementation

JIT (Just in time), Critical level of replenishment , Supermarket or consumption based replenishment, Kanban

Kaizen, LEAN action work out (AWO)

Solution design matrix, Brain storming

Failure Mode effect analysis

Regression techniques - Simple linear regression , Multiple regression

Non Linear , Binary Logistic, Nominal Logistic, Ordinal Logistic regression

Design of experiments (DOE), Taguchi robustness concepts

"Full Factorials, Fractional Factorials, Screening Experiments, Response Surface Analysis , EVOP (Evolutionary operations methodology) Mixture Experiments

PDCA - Plan, Do , Check , Act

Theory of Constraints (TOC)

Introduction to Digital transformation , Industry 4.0 , RPA

Basics of solution generation through "Design Thinking Concepts"

"Six Thinking Hats" - Dr. Edward de Bono

Statistical process control

Control plan for sustaining benefits

Introduction to Control Charts and Types of Control Charts

CBA - Cost benefit analysis

Project documentation as per DMAIC frame work

Horizontal deployment of lessons learned

Inculcating LEAN SIX SIGMA DNA in all layers of organization