Certified Lean Six Sigma Black Belt

Certified Lean Six Sigma Black Belt Course :

Online Self Learning

30 Days Access Duration

Online Self Learning

180 Days Access Duration

Certified Lean Six Sigma Black Belt :

Lean Six Sigma Black Belt Certification is a blended certification of Lean and Six Sigma offered to professionals who successfully qualify the LSSBB exam. Lean is a technique or a collection of techniques that helps in the reduction of time while delivering products. Six Sigma, on the other hand, is a disciplined approach to improve the quality and maintain consistency in delivery of products and services. Thus, Lean Six Sigma is an approach that is used to improve services on time while eliminating defects and leading the project towards perfection.

Lean Six Sigma has emerged as a popular business management strategy applied to projects globally. It helps a company in achieving their process excellence initiatives and delivering increased profits to an organization.

Lean Six Sigma Black Belt certification demonstrates one’s ability to deploy skills in enterprise-wide projects and approach, for full time process excellence roles.

Key Features :

21 Hrs of High Quality e-Learning content
3 Lean Six Sigma Black Belt Simulation Exams
Downloadable e-book
Course Completion Certificate

6 Chapter-end Quizzes
30 PDUs Offered
Lean Six Sigma Black Belt Exam Fee Included
Certified Lean Six Sigma Black Belt

Course Structure :

Section 00 - Six Sigma Black Belt

Section 01 - Overview

1.1 Welcome
1.2 Overview
1.3 Agenda
1.4 Lesson 1 About LSSBB
1.5 Agenda
1.6 What is Six Sigma
1.7 Six Sigma Roles and Responsibilities
1.8 About SSBB
1.9 LSSBB Roles and Responsibilities
1.10 Summary
1.11 Lesson 2 Organizational Roadblocks
1.12 Agenda
1.13 Traditional Organization versus Customer Driven Organization
1.14 Types of Organizational Roadblocks
1.15 Types of Organizational Roadblocks(Contd.)
1.16 Types of Organizational Roadblocks(Contd.)
1.17 Types of Organizational Roadblocks(Contd.)
1.18 Types of Organizational Roadblocks(Contd.)
1.19 Types of Organizational Roadblocks(Contd.)
1.20 Types of Organizational Roadblocks(Contd.)
1.21 Change Resistance Curve
1.22 Change Resistance Curve(Contd.)
1.23 Change Resistance Curve(Contd.)
1.24 Common Resistance Points
1.25 Common Resistance Points(Contd.)
1.26 Overcoming Resistance Points
1.27 Force Field Analysis
1.28 Force Field Analysis(Contd.)
1.29 Force Field Analysis(Contd.)
1.30 Force Field Analysis(Contd.)
1.31 Summary
1.32 Lesson 3 Role of Communication and Selection Criteria in Black Belt
1.33 Agenda
1.34 Black Belt Role Summary
1.35 Black Belt Communication Expectations
1.36 Black Belt Selection Criteria
1.37 Summary
1.38 Lesson 4 Overview of Continuous Improvement
1.39 Agenda
1.40 Continual Improvement Process
?1.41 Continuous versus Continual Improvement
1.42 Kaizen Continual Improvement
1.43 Kaizen Continual Improvement(Contd.)
1.44 Summary
1.45 Lesson 5 Lean An Overview
1.46 Agenda
1.47 What is Lean
1.48 History of Lean
1.49 Principles of Lean
1.50 Key Benefits of Implementing Lean
1.51 Key Benefits of Implementing Lean(Contd.)
1.52 Why Lean before Six Sigma
1.53 Summary
1.54 Lesson 6 Lean Concepts Explained
1.55 Agenda
1.56 Warusa Kagen
1.57 Warusa Kagen(Contd.)
1.58 3Ms
1.59 8 Types of Waste (TIMWOODS)
1.60 Mottainai
1.61 Hoshin Kanri
1.62 Hoshin Kanri(Contd.)
1.63 Hoshin Kanri(Contd.)
1.64 Takt Time
1.65 Takt Time(Contd.)
1.66 Cycle Time
1.67 Lead Time
1.68 Lead Time Assignment
1.69 Lead Time Assignment(Contd.)
1.70 Production Cycle Efficiency
1.71 Batch Size
1.72 Every Part Every Interval(EPEI)
1.73 EPEI(Contd.)
1.74 EPEI(Contd.)
1.75 EPEI Calculation Spreadsheet
1.76 Batch Size Assignment
1.77 Batch Size Assignment(Contd.)
1.78 Batch Size Assignment(Contd.)
1.79 Batch Size Assignment(Contd.)
1.80 Batch Size Assignment(Contd.)
1.81 Crew Size
1.82 Crew Size Assignment
1.83 Crew Size Assignment(Contd.)
1.84 Crew Size Assignment(Contd)
1.85 Standardized Working Progress(SWIP)
1.86 Summary
1.87 Lesson 7 Lean Tools Explained
1.88 Agenda
1.89 5S
1.90 5S(Contd.)
1.91 5S Audit Worksheet
1.92 SMED
1.93 SMED(Contd.)
1.94 Heijunka
1.95 Heijunka An Example
1.96 Genchi Genbutsu
1.97 Value Stream Mapping(VSM)
1.98 VSM Symbols
1.99 Value Stream Mapping(Contd.)
1.100 Value Stream Mapping(Contd.)
1.101 Summary
1.102 Quiz
1.103 Thank You

Section 02 - DFSS, Pre-define and Define (DMAIC)

Section 03 - Measure

3.1 Measure
3.2 Introduction to MEASURE
3.3 Agenda
3.4 Pre Measure Considerations and Tools
3.5 Agenda
3.6 Define Phase Toll Gate Review
3.7 DFMEA
3.8 DFMEA(Contd.)
3.9 DFMEA(Contd.)
3.10 DFMEA(Contd.)
3.11 DFMEA(Contd.)
3.12 Cause and Effect Matrix(CE Matrix)
3.13 Cause and Effect Matrix(Contd.)
3.14 Cause and Effect Matrix(CE Matrix)(Contd.)
3.15 Cause and Effect Matrix(CE Matrix)(Contd.)
3.16 Cause and Effect Matrix(CE Matrix)(Contd.)
3.17 Cause and Effect Matrix(Contd.)
3.18 Summary
3.19 Types of Data and Measurement Scales
3.20 Agenda
3.21 Objectives of Measure Phase
3.22 What is a Process
3.23 Flowcharts
3.24 SIPOC
3.25 SIPOC(Contd.)
3.26 SIPOC(Contd.)
3.27 Metrics
3.28 Measurement Scales
3.29 Measurement Scales(Contd.)
3.30 Measurement Scales(Contd.)
3.31 Types of Data
3.32 Types of Data(Contd.)
3.33 Summary
3.34 Central Tendency and Dispersion
3.35 Agenda
3.36 Central Tendency and Dispersion Introduction
3.37 Mean
3.38 Mean(Contd.)
3.39 Median
3.40 Mode
3.41 Range
3.42 Variance
3.43 Standard Deviation
3.44 Mean Deviation
3.45 Summary
3.46 Measurement System Analysis
3.47 Agenda
3.48 Purpose of Measurement System Analysis
3.49 Measurement System Errors
3.50 Measurement System Errors(Contd.)
3.51 Measurement System Errors(Contd.)
3.52 Properties of Good Measurement Systems
3.53 Measurement System Errors Illustrated
3.54 Measurement System Discrimination
3.55 Bias
3.56 Bias(Contd.)
3.57 Measurement System Analysis Process Flow
3.58 Part Variation
3.59 Measurement System Analysis Formulas
3.60 Measurement Systems Analysis Example
3.61 Measurement Systems Analysis Example(Contd.)
3.62 Measurement Systems Analysis Graphs
3.63 Measurement Systems Analysis Graphs(Contd.)
3.64 Measurement Systems Analysis Graphs(Contd.)
3.65 Assignment
3.66 Attribute RR
3.67 Attribute RR(Contd.)
3.68 Attribute RR(Contd.)
3.69 Attribute RR(Contd.)
3.70 Attribute RR(Contd.)
3.71 Attribute RR(Contd.)
3.72 Attribute RR(Contd.)
3.73 Attribute RR(Contd.)
3.74 Attribute RR(Contd.)
3.75 Attribute RR(Contd.)
3.76 When to Do Measurement System Analysis
3.77 Data Collection Plan
3.78 Data Collection Plan Template and Example
3.79 Summary
3.80 Stability Conditions
3.81 Agenda
3.82 Controlled Process and Variation
3.83 Special Causes of Variation
3.84 Common Causes of Variation
3.85 Common Causes of Variation(Contd.)
3.86 Stability Introduction and SPC
3.87 Stability Check with Minitab
3.88 Stability Check with Minitab(Contd.)
3.89 Stability Check with Minitab(Contd.)
3.90 Stability Check with Minitab(Contd.)
3.91 Stability Check using Run Charts
3.92 Stability Conditions
3.93 Central Limit Theorem
3.94 Summary
3.95 Capability Metrics
3.96 Agenda
3.97 Process Capability Pre Considerations
3.98 Process Capability Pre Considerations(Contd.)
3.99 Process Capability Pre Considerations(Contd.)
3.100 Process Capability Pre Considerations(Contd.)
3.101 Process Capability Pre Considerations(Contd.)
3.102 Process Capability Pre Considerations(Contd.)
3.103 Process Capability Pre Considerations(Contd.)
3.104 Process Capability Pre Considerations(Contd.)
3.105 Process Capability Pre Considerations(Contd.)
3.106 Process Capability Indices for Continuous Data
3.107 Process Capability Indices for Continuous Data(Contd.)
3.108 Process Capability Indices for Continuous Data(Contd.)
3.109 Process Capability Indices Interpretation
3.110 Process Capability for Discrete Data
3.111 Process Capability for Discrete Data(Contd.)
3.112 Process Capability for Discrete Data(Contd.)
3.113 Non Normal Capability Analysis
3.114 Non Normal Capability Analysis(Contd.)
3.115 Non Normal Capability Analysis(Contd.)
3.116 Non Normal Capability Analysis(Contd.)
3.117 Non Normal Capability Analysis(Contd.)
3.118 Non Normal Capability Analysis(Contd.)
3.119 Assignment
3.120 Summary
3.121 Variations Variability Capability and Process Conditions
3.122 Agenda
3.123 Variations and Variability
3.124 Variations and Variability(Contd.)
3.125 Variations and Variability(Contd.)
3.126 Capability and Process Conditions
3.127 Summary
3.128 Data Distributions
3.129 Agenda
3.130 Permutations and Combinations
3.131 Permutations and Combinations(Contd.)
3.132 Frequency and Cumulative Distributions
3.133 Binomial Distribution
3.134 Binomial Distribution(Contd.)
3.135 Binomial Distribution(Contd.)
3.136 Binomial Distribution(Contd.)
3.137 Poisson Distribution
3.138 Poisson Distribution(Contd.)
3.139 Poisson Distribution(Contd.)
3.140 Normal Distribution
3.141 Normal Distribution(Contd.)
3.142 Exponential Distribution
3.143 Exponential Distribution
3.144 Summary
3.145 Sigma Shift Mean Shift and Reducing Variations
3.146 Agenda
3.147 Sigma Shift
3.148 Mean Shift or Reducing Variations
3.149 Mean Shift or Reducing Variations(Contd.)
3.150 Baseline Data
3.151 Summary
3.152 Measure Phase Summary
3.153 Measure Activity Summary
3.154 Measure Tools Summary
3.155 Quiz
3.156 Thank You

Section 04 - Analyze

4.1 Welcome
4.2 Analyze
4.3 Agenda
4.4 Lesson 1 Pre Analyze Considerations
4.5 Agenda
4.6 Analyze Phase Introduction
4.7 Pre Analyze Considerations
4.8 Pre Analyze Considerations(Contd.)
4.9 Objectives of Analyze
4.10 Visually Displaying Data
4.11 Summary
4.12 Lesson 2 Value Stream Analysis
4.13 Agenda
4.14 Value Waste and NVA Activities
4.15 What is a Value Stream
4.16 Value Stream Example
4.17 Value Stream Analysis Muda
4.18 Value Stream Analysis Muda(Contd.)
4.19 Value Stream Map
4.20 Value Stream Map(Contd.)
4.21 Spaghetti Charts
4.22 Spaghetti Chart As Is
4.23 Spaghetti Chart Should Be
4.24 Spaghetti Charts(Contd.)
4.25 Summary
4.26 Lesson 3 Sources of Variation
4.27 Agenda
4.28 Sources of Variation
4.29 Sources of Variation(Contd.)
4.30 Cause and Effect Diagram
4.31 Cause and Effect Diagram(Contd.)
4.32 Cause and Effect Diagram(Contd.)
4.33 Cause and Effect Diagram(Contd.)
4.34 Affinity Diagram
4.35 Box Plot
4.36 Box Plot(Contd.)
4.37 Box Plot(Contd.)
4.38 Box Plot(Contd.)
4.39 Box Plot(Contd.)
4.40 Summary
4.41 Lesson 4 Regression
4.42 Agenda
4.43 Objectives of Regression Analysis
4.44 Concepts of Regression Analysis
4.45 Concepts of Regression Analysis(Contd.)
4.46 Simple Linear Regression
4.47 Simple Linear Regression(Contd.)
4.48 Simple Linear Regression(Contd.)
4.49 Simple Linear Regression(Contd.)
4.50 Simple Linear Regression(Contd.)
4.51 Simple Linear Regression(Contd.)
4.52 Multiple Linear Regression
4.53 Multiple Linear Regression(Contd.)
4.54 Multiple Linear Regression(Contd.)
4.55 Multiple Linear Regression(Contd.)
4.56 Multiple Linear Regression(Contd.)
4.57 Multiple Linear Regression(Contd.)
4.58 Multiple Linear Regression(Contd.)
4.59 Multiple Linear Regression(Contd.)
4.60 Multiple Linear Regression(Contd.)
4.61 Best Subsets Regression and Stepwise Regression
4.62 Summary
4.63 Lesson 5 Confidence Intervals
4.64 Agenda
4.65 Concepts of Confidence Intervals and Confidence Intervals Testing
4.66 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.)
4.67 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.)
4.68 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.)
4.69 Confidence Intervals for Difference between Two Means
4.70 Confidence Intervals Working
4.71 Confidence Intervals Working(Contd.)
4.72 Confidence Intervals Impactors
4.73 Chi Square Confidence Intervals for Variances
4.74 Chi-Square Confidence Intervals for Variances(Contd.)
4.75 Z Confidence Intervals for Proportions
4.76 Chi Square and Probability
4.77 T Distribution Confidence Intervals
4.78 Summary
4.79 Lesson 5 Parametric Hypothesis Testing
4.80 Agenda
4.81 Agenda(Contd.)
4.82 Hypothesis Testing Objective
4.83 Hypothesis Testing Concepts
4.84 Null and Alternate Hypothesis
4.85 Type 1 Error
4.86 Type II Error
4.87 Significance Level (a)
4.88 Significance Level (a) (Contd.)
4.89 Type II Error (Contd.)
4.90 ß and Power
4.91 P Value, and Acceptance and Rejection Conditions
4.92 Sample Size Determination for Tests
4.93 1 Sample z Test
4.94 1 Sample z Test(Contd.)
4.95 1 Sample z Test(Contd.)
4.96 2 Sample z test
4.97 f Test of Equality of Variances
4.98 1 Sample t Test
4.99 1 Sample t Test(Contd.)
4.100 2 Sample t Test
4.101 2 Sample t Test
4.102 2 Sample t Test
4.103 Paired t Test
4.104 Paired t Test(Contd.)
4.105 Paired t Test Interpretation
4.106 Paired t Test(Contd.)
4.107 Paired t Test(Contd.)
4.108 ANOVA
4.109 One Way ANOVA
4.110 Two Way ANOVA with Replication
4.111 Two Way ANOVA with Replication(Contd.)
4.112 Two Way ANOVA with Replication(Contd.)
4.113 Two Way ANOVA with Replication(Contd.)
4.114 Summary
4.115 Lesson 7 Nonparametric Hypothesis Testing
4.116 Agenda
4.117 Nonparametric Testing Conditions
4.118 Mann Whitney Test
4.119 Mann Whitney Test(Contd.)
4.120 1 Sample Sign
4.121 Wilcoxon Sign Rank Test
4.122 Kruskal Wallis
4.123 Moodís Median
4.124 Friedman ANOVA
4.125 Friedman ANOVA(Contd.)
4.126 Summary
4.127 Lesson 8 Analyze Additionals Categorical Data and Current Reality Tree
4.128 Agenda
4.129 Categorical Data Analysis
4.130 Categorical Data Analysis(Contd.)
4.131 Categorical Data Analysis(Contd.)
4.132 Categorical Data Analysis(Contd.)
4.133 Current Reality Tree
4.134 Current Reality Tree(Contd.)
4.135 Summary
4.136 Activity Summary Analyze
4.137 Tools Summary Analyze
4.138 Quiz
4.139 Thank You

Section 05 - Improve

5.1 Welcome
5.2 Section V Improve
5.3 Agenda
5.4 Section V Lesson 1
5.5 Agenda
5.6 Pre Improve Considerations
5.7 Model Adequacy Checking
5.8 Model Adequacy Checking(Contd.)
5.9 Model Adequacy Checking(Contd.)
5.10 Multi Vari Charts
5.11 7M Tools
5.12 Activity Network Diagram
5.13 Point and Interval Estimation
5.14 Porter s Five Forces
5.15 Porter s Five Forces (Contd.)
5.16 Pugh Analysis
5.17 Lean 5S
5.18 Summary
5.19 Section V Lesson 2 Design of Experiments Theory
5.20 Agenda
5.21 Introduction to DOE
5.22 Introduction to DOE(Contd.)
5.23 Introduction to DOE(Contd.)
5.24 Introduction to DOE(Contd.)
5.25 Introduction to DOE(Contd.)
5.26 Introduction to DOE(Contd.)
5.27 Types of Designed Experiments
5.28 Main and Interaction Effects
5.29 Main and Interaction Effects(Contd.)
5.30 Main and Interaction Effects(Contd.)
5.31 Main and Interaction Effects(Contd.)
5.32 Replication
5.33 Randomization
5.34 Blocking
5.35 Confounding
5.36 Coding and other DOE Terms
5.37 Sum of Squares Analysis
5.38 Sum of Squares Analysis(Contd.)
5.39 Sum of Squares Analysis(Contd.)
5.40 Sum of Squares Analysis(Contd.)
5.41 Sum of Squares Analysis(Contd.)
5.42 Sum of Squares Analysis(Contd.)
5.43 Sum of Squares Analysis(Contd.)
5.44 Summary
5.45 Section V Lesson 3 Design of Experiments Practice
5.46 Agenda
5.47 Introduction to 2 Factor Factorial Design
5.48 Introduction to 2 Factor Factorial Design(Contd.)
5.49 Introduction to 2 Factor Factorial Design(Contd.)
5.50 2&sup2 Design
5.51 2&sup2 Design(Contd.)
5.52 2&sup2 Design(Contd.)
5.53 2&sup2 Design(Contd.)
5.54 2&sup2 Design(Contd.)
5.55 2&sup2 Design(Contd.)
5.56 2&sup2 Design(Contd.)
5.57 2&sup2 Design(Contd.)
5.58 2&sup2 Design(Contd.)
5.59 2&sup2 Design(Contd.)
5.60 2&sup2 Design(Contd.)
5.61 2&sup2 Design(Contd.)
5.62 2&sup2 Design(Contd.)
5.63 2&sup2 Design(Contd.)
5.64 2&sup2 Design(Contd.)
5.65 2&sup2 Design(Contd.)
5.66 2&sup2 Design Summary
5.67 General 2k Design
5.68 General 2k Design(Contd.)
5.69 General 2k Design(Contd.)
5.70 General 2k Design(Contd.)
5.71 General 2k Design(Contd.)
5.72 General 2k Design(Contd.)
5.73 General 2k Design(Contd.)
5.74 General 2k Design(Contd.)
5.75 General 2k Design(Contd.)
5.76 General 2k Design(Contd.)
5.77 Single Replicate of 2k Design
5.78 Half Fractional 2k-1 Design
5.79 Half Fractional 2k-1 Design(Contd.)
5.80 Half Fractional 2k-1 Design(Contd.)
5.81 Half Fractional 2k-1 Design(Contd.)
5.82 Half Fractional 2k-1 Design(Contd.)
5.83 Half Fractional 2k-1 Design(Contd.)
5.84 Half Fractional 2k-1 Design(Contd.)
5.85 Quarter Fractional 2k-2 Design
5.86 Quarter Fractional 2k-2 Design(Contd.)
5.87 Quarter Fractional 2k-2 Design(Contd.)
5.88 Quarter Fractional 2k-2 Design(Contd.)
5.89 3k Factorial Design
5.90 3k Factorial Design (Contd.)
5.91 Response Surface Designs
5.92 Response Surface Designs(Contd.)
5.93 Response Surface Designs(Contd.)
5.94 Response Surface Designs(Contd.)
5.95 Response Surface Designs(Contd.)
5.96 Response Surface Designs(Contd.)
5.97 Response Surface Designs(Contd.)
5.98 Response Surface Designs(Contd.)
5.99 Response Surface Designs(Contd.)
5.100 Nested Designs
5.101 Split Plot Designs Introduction
5.102 Taguchi’s Designs
5.103 Taguchi’s Designs (Contd.)
5.104 Taguchi’s L4 Design
5.105 Taguchi’s L4 Design Graphs
5.106 Taguchi’s L8 Design
5.107 Taguchi’s L8 Design(Contd.)
5.108 Taguchi’s L8 Design(Contd.)
5.109 Taguchi’s L8 Design(Contd.)
5.110 Plackett Burman’s Design
5.111 Plackett Burman’s Designs(Contd.)
5.112 Quality Function Deployment(House of Quality)
5.113 Summary
5.114 Section V Lesson 4 Brainstorming Solutions Prioritization and Cost Benefit Analysis
5.115 Agenda
5.116 Brainstorming
5.117 Multi Voting
5.118 Brainstorming Prioritization and Cost Benefit Analysis
5.119 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)
5.120 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)
5.121 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)
5.122 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)
5.123 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)
5.124 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)
5.125 Poka Yoke
5.126 Summary
5.127 Section V Lesson 5 Piloting Validating and FMEA
5.128 Agenda
5.129 Pilot Solutions
5.130 Piloting Tools
5.131 Piloting Tools (Contd.)
5.132 Paired t Test
5.133 Paired t Test(Contd.)
5.134 Paired t Test Interpretations
5.135 Paired t Test(Contd.)
5.141 Failure Mode Effects Analysis(Contd.)
5.137 Improve Next Steps
5.138 Failure Mode Effects Analysis
5.139 Failure Mode Effects Analysis(Contd.)
5.140 Failure Mode Effects Analysis(Contd.)
5.142 Failure Mode Effects Analysis(Contd.)
5.143 Summary
5.144 Improve Activity Summary
5.145 Quiz
5.146 Thank You

Section 06 - Control

6.1 Welcome
6.2 Section VI Control
6.3 Agenda
6.4 SectionVI Lesson 1 Pre Control Considerations
6.5 Agenda
6.6 Pre Control Considerations
6.7 Assessing the Results of Process Improvement
6.8 Rational Subgrouping
6.9 Summary
6.10 Section VI Lesson 2 Variables and Attributes Control Charts
6.11 Agenda
6.12 Concepts of Variables Control Charts
6.13 Concepts of Variables Control Charts(Contd.)
6.14 Concepts of Variables Control Charts (Contd.)
6.15 Concepts of Variables Control Charts (Contd.)
6.16 Concepts of Variables Control Charts (Contd.)
6.17 Variables Control Charts
6.18 Variables Control Charts(Contd.)
6.19 Variables Control Charts(Contd.)
6.20 Variables Control Charts (Contd.)
6.21 Variables Control Charts (Contd.)
6.22 Variables Control Charts(Contd.)
6.23 Variables Control Charts(Contd.)
6.24 Variables Control Charts(Contd.)
6.25 Variables Control Charts(Contd.)
6.26 Variables Control Charts(Contd.)
6.27 Variables Control Charts(Contd.)
6.28 Variables Control Charts(Contd.)
6.29 Variables Control Charts(Contd.)
6.30 Variables Control Charts(Contd.)
6.31 Variables Control Charts (Contd.)
6.32 EWMA Charts
6.33 EWMA Charts(Contd.)
6.34 Cusum Charts
6.35 Attribute Control Charts
6.36 Attribute Control Charts(Contd.)
6.37 Attribute Control Charts(Contd.)
6.38 Attribute Control Charts (Contd.)
6.39 Attribute Control Charts(Contd.)
6.40 Attribute Control Charts(Contd.)
6.41 Attribute Control Charts(Contd.)
6.42 Summary
6.43 VI Lesson 3 Measurement System Analysis Control Plan and Project Closure
6.44 Agenda
6.45 Measurement System Analysis
6.46 Control Plan
6.47 Control Plan(Contd.)
6.48 Control Plan(Contd.)
6.49 Control Plan(Contd.)
6.50 Project Closure
6.51 Summary
6.52 Section VI Lesson 4 Introduction to Total Productive Maintenance
6.53 Agenda
6.54 Total Productive Maintenance(TPM)
6.55 Total Productive Maintenance(TPM)(Contd.)
6.56 Total Productive Maintenance(TPM)(Contd.)
6.57 Total Productive Maintenance(TPM)(Contd.)
6.58 Total Productive Maintenance(TPM)(Contd.)
6.59 Total Productive Maintenance(TPM)(Contd.)
6.60 Total Productive Maintenance(TPM)(Contd.)
6.61 Summary
6.62 Tools to Refer
6.63 Quiz
6.64 Thank You

Learning Objectives :

At the end of our training in Lean Six Sigma Black Belt, you will gain knowledge of the following:

Apply Lean concepts such as 5S, waste reduction, process mapping, value stream mapping and mistake proofing.
Apply basic and more advanced statistical analyses to determine the relationship between key inputs and process outputs.
Effectively manage team dynamics and understand how to work with multiple levels of leadership to remove barriers and achieve project success.
Close projects and hand over control to process owners.
Present projects to instructors, peers and managers.

Target Audience :

Lean Six Sigma Black Belt course is planned to meet the requirements of the following categories of professionals:

Senior Management
Management students
Team leaders
Software Professionals
If a company intends to implement Six Sigma, then the management of the company needs to be trained
Project Managers
Quality Assurance Engineers
Software Quality Assurance team members

Certified Lean Six Sigma Black Belt

Certified Lean Six Sigma Black Belt Course :

Online Self Learning

30 Days Access Duration

Online Self Learning

180 Days Access Duration

Certified Lean Six Sigma Black Belt :

Key Features :

21 Hrs of High Quality e-Learning content

3 Lean Six Sigma Black Belt Simulation Exams

Downloadable e-book

Course Completion Certificate

6 Chapter-end Quizzes

30 PDUs Offered

Lean Six Sigma Black Belt Exam Fee Included

Certified Lean Six Sigma Black Belt

Course Structure :

Learning Objectives :

Target Audience :

Exam Format :

FAQs :

Course Duration

30 Days

21 Hrs of High Quality e-Learning content

3 Lean Six Sigma Black Belt Simulation Exams

30 PDUs offered

30 Access Days

Course Duration

180 Days

21 Hrs of High Quality e-Learning content

3 Lean Six Sigma Black Belt Simulation Exams

30 PDUs offered

180 Access Days

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