Lean Six Sigma Black Belt (LSSBB)

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Quality Assurance
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Master Six Sigma by enrolling in CertZip'S Lean Six Sigma Black Belt Training and upskill your knowledge and technological skill in Six Sigma .

Course Description

This is based on the internationally acknowledged Body of Knowledge. A Lean Six Sigma Black Belt shows the advanced team and is qualified at managing a crew and using various improvement and statistical tools.

The training is the certification for Lean Six Sigma Quality Management professionals. this Lean Six Sigma Black Belt training validates your experienced skill in handling complicated projects and expertise in executing Six Sigma procedures

This course is meant for experienced professional with experience in relevant Six Sigma areas one who has worked on one or more projects Suppose anyone is planning a career in Quality Management in the manufacturing, pharmaceutical, healthcare, technology, or service industries. In that case, prospective employers will often look for Six Sigma or Lean Six Sigma qualifications.

This certification helps validate experts skilled in determining threats, mistakes, or faults in a business process and removing them.

There are no prerequisites required to sit for Lean Six Sigma Black Belt.

Lean Six Sigma Black Belt certification allows specialists to take a Black Belt role in their organizations and function as transformation agents to enhance customer satisfaction and business productivity.

You can direct problem-solving projects with a Six Sigma black belt and train and coach project teams.

Possible positions for lean Six Sigma black belts include Operations Director Senior Business Process Analyst Senior Continuous Improvement Leader and Senior Project Manager.

What you'll learn

  • In this course, you will learn: Manage complicated Six Sigma projects in your organization Lean Six Sigma Lean Six Sigma Tools and more.

Requirements

  • Must have completed the Six Sigma Green Belt course

Curriculam

In this section, you will be learning about wide planning and deployment.

Fundamentals of Six Sigma and lean methodologies
Six Sigma, Lean, and Other Continuous Advance Methods
Selecting Six Sigma Project
Relationships among business systems and processes
Strategic planning and deployment for initiatives
Strategic planning and deployment for initiatives
Leadership - Roles and Responsibilities
Organizational roadblocks and change management
Causes of Six Sigma failure
Change Management
Practice

Learn about process management and measures.

Impact of Six Sigma project on Stakeholders
Benchmarking
Performance Measures
Practice

Understand the concepts of team management.

Types of Teams
Team Roles
Team member selection
Team Success Factors
Team Motivation
Team Stages
Team Communications
Team Leadership Models
Group Behaviors
Meeting Management
Team Tools
Team Training - Need Assessment
Team Training - Delivery
Team Training - Evaluation
Practice

Learn about define and its components.

Introduction
Customer Identification
Customer Data Collection
Customer Requirements
Customer Requirements - VOC and CTQ
Customer Requirements - Quality Function Deployment QFD
Customer Requirements - SIPOC
Customer Requirements - Kano Model
Writing Business Case
Writing Problem Statement
Writing Project Scope
SMART Goals and Objectives
Project Performance Measurements
Project Management Tools - Gantt Chart
Project Management Tools - Toll-gate Reviews
Project Management Tools - WBS
Project Management Tools - RACI
Analytical Tools - Affinity Diagrams
Analytical Tools - Tree Diagrams
Analytical Tools - Matrix Diagrams
Analytical Tools - Prioritization Matrices
Analytical Tools - Activity Network Diagrams
Practice

learn the concepts of measure

Introduction
Process Flow Metrics
Process Analysis Tools
Process Analysis Tools
Types of Data
Measurement Scales
Sampling
Data Collection Plans and Methods
Data Collection Plans and Methods - Data Coding
Data Collection Plans and Methods - Missing
Data Measurement System Analysis
Measurement System Analysis - Accuracy
Measurement System Analysis - Precision
Measurement System Analysis - Precision to Tolerance Ratio
Gage R&R - Range Method
Gage R&R - Average and Range Method
Gage R&R - ANOVA Method
Gage R&R - Number of Distinct Categories
Gage R&R - Crossed vs. Nested Gage R&R Study
Measurement systems across the organization
Metrology
Basic statistical terms
Central limit theorem
Descriptive statistics - Part 1, Part 2,Part 3
Graphical Methods - Box and Whisker Plots
Graphical Methods - Scatter Plots
Graphical Methods - Histograms
Valid statistical conclusions - Hypothesis Testing
Valid statistical conclusions - Types of Errors
Probability Basic concepts- Part 1, Part 2,Part 3,Part 4
Probability Distributions - Normal Distribution 1
Binomial Distribution
Bernoulli, Hypergeometric, Geometric and Negative Geometric Distributions
Poisson Distribution
Process capability indices- Part 1, Part 2
Process performance indices
General process capability studies
Process capability for attributes data
Process capability for non-normal data
Process performance vs. specification
Short-term and long-term capability
Practice

Understand about analyze in this part.

Introduction
Correlation Coefficient - Introduction, Manual Calculation, Calculation Using MS Excel, Summary
Correlation vs. Causation
Correlation Coefficient - Calculating Confidence Interval
Coefficient of Determination
Regression Equation - Manual Calculations
Residual Analysis
Multivariate Analysis
Hypothesis Testing Terminology - Errors, Power and Significance
Hypothesis Testing Terminology - Errors, Power and Significance
Statistical vs. Practical Significance
Understanding Hypothesis Testing
Finding the Z Value
What is p-Value?
or MeSample Sizes fans and Proportions
Point and Interval Estimate - Introduction
erval Width Factors Affecting Confidence Int
Calculating Confidence Interval for Mean
Calculating Confidence Interval for Meant Distribution
Calculating Confidence Interval for Proportions
Calculating Confidence Interval for Variance
Tests for mean-variance and proportions
Two-Sample t-Test - Equal Variance, Unequal Variance
Two Sample Paired t-Test
Two Sample p Test
Tests for Variance - F and Chi-Square
F Test
ne-SaOmple Chi-Square Test
ANOVA - Introduction, Concept without any Calculation, Understanding the Calculation, Doing Manual Calculation, Using MS Excel,
The goodness of Fit Test
Contingency Tables
FMEA Introduction
Failure Mode and Effect Analysis - FMEA
Gap Analysis
Root Cause Analysis (RCA) Introduction, Tools, 5 Whys, Pareto, Fault Tree, Cause and Effect
Waste Analysis
Practice

Learn about improve and its concepts.

introduction
Design of Experiments (DoE) - Introduction
(DoE) - Response and Factor
(DoE) - Model of a Coffee Launch
(DoE) - Contour Plot
(DoE) - Writing ann
(DoE) - Introducing Interaction
(DoE) - Writing an Equation with Interaction
(DoE) - Basic Definitions
(DoE) - Three Factors Full Factorial Design
DoE - Calculating Numbers of Experiments - Factorial
(DoE) - Nuisance Factors and Balanced Design
DoE) - Half Factorial, Confounding, and Resolutions
(DoE) - Planning and Conducting Experiments
(DoE) - One-Factor Experiments
One-Factor Experiments - Completely Randomized Designs, Randomized Block Designs, Latin and Graeco
DoE - Two-Level Fractional Factorial Designs
Two-Level Fractional Factorial Designs - Number of Experiments, Plackett-Burman Design
Types of Wastes - Muda, Mura, and Muri
Wastes - Eight Types of Muda - Introduction to TIM WOODS
Types of Muda - Transport and Inventory, Motion and Waiting, Over-processing and Over-producing, Defects and Underutilization of Skills
Tools to Eliminate Waste - Pull Syste, Kanban, 5 S, Standard Work, Poka Yoke
Tools for Cycle Time Reduction - Continuous Flow, SMED, Heijunka
Kaizen
Theory of Constraints - Introduction, Identify and Eliminate Constraints, Throughput Accounting, Drum, Buffer, and Rope
Overall Equipment Effectiveness (OEE) - Introduction, Example
Implementation Approaches
Practice

Know how to design for six Sigma.

Introduction
Common DFSS Methodologies
9B - Design for X
9B - Design for Manufacturing
9B - Design for Maintainability
Design for Reliability
Design for Logistics and Environment
Design for X - Summary
Robust Design Introduction
Robust Design Defined
Robust Design - Control and Noise Factors, Taguchi Loss Function, Taguchi Loss Function - Calculations
Practice

Learn about control in the six sigma black belt.

Introduction
Statistical Process Control Objectives
Selection of Variables
Rational Subgrouping
Control Chart Selection
I-MR Chart Explained
I-MR Chart Calculation Demonstration
Value of d2 Constant
Xbar-R Chart Explained
A2 Constant Explained
Xbar-R Chart Demonstration
Xbar S Chart Explained
Attribute Control Charts - Introduction
np Control Charts
np Control Chart - Demonstration
p Control Charts
p Control Charts - Demonstration
c Control Charts
c Control Chart - Demonstration
u Control Charts
u Control Chart - Demonstration
Control Chart Analysis