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Lean Six Sigma Expert

Course Description

The Lean Six Sigma Expert Masters Program is designed to help you master two important management methodologies – Lean and Six Sigma – that have been brought together to accelerate business improvement. Fast track your career with this course that will give you the management qualities businesses look for and become the go-to professional for quality management projects.

About the Program

What are the course objectives?

The Lean Six Sigma Expert Masters Program is aimed at helping you master Lean and Six Sigma principles and methodologies. As organizations strive for continuous improvement, they seek management professionals that can employ problem solving and business know-how to enhance internal processes. This course positions you to take the lead in quality management projects.

The Lean Management course is the foundation for this master’s program and shows you how to optimize end-to-end processes to increase quality and drive maximum value in any business. The next stage focuses on the Lean Six Sigma Green Belt, which explains the core principles of Lean Six Sigma, how to implement quality projects and specific industry applications. You’ll also learn to use the statistical Minitab tool to enable effective statistical analysis for projects.

After completing these three courses, you will be prepared for becoming a Lean Six Sigma Black Belt, which is the final step to becoming a Lean Six Sigma expert and validating your ability. We also suggest taking courses in Lean Six Sigma in IT/Healthcare based on your domain.

Why be a Lean Six Sigma Expert?

40% of the managers in top companies are Lean certified, and Lean Six Sigma Experts earn 40% more than their non-certified peers. Lean Six Sigma Experts generally work in the following profiles:

  • Quality Supervisor
  • Quality Manager
  • Quality Engineer
  • Quality Director
  • Lean Six Sigma Expert

You’ll learn how to apply Lean Six Sigma tools, techniques and concepts to improve efficiency, reduce waste, increase throughput, and standardize complex business/technical processes in your organization.

Who should take this course?

Lean Six Sigma is a framework that is not limited to a particular industry. Any professional looking to learn how to improve organizational efficiency can become a Lean Six Sigma expert. Specific professionals who typically take this course include:

  • Quality Control supervisors/ Engineers/ Managers
  • IT analysts
  • Project Managers
  • Enthusiasts of Lean Management
  • Six Sigma Professionals

How do I become a Lean Six Sigma Expert?

You will have to complete all the courses outlined in the learning path. To ensure you get the certification, you should pass the Lean Six Sigma Green Belt and the Lean Six Sigma Black Belt certification exams.

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Course Syllabus

Course 1

Lean Management
Learn the concepts and principles of Lean management in this training course, where you’ll learn how to streamline your processes and drive the best value for your business. This Lean Management Certification course is crafted by industry experts and is ideal for quality management professionals.

Lean Management

Lesson 01 – Introduction41:44
1.1 Welcome00:07
1.2 Introduction00:36
1.3 Agenda00:40
1.4 WHAT IS LEAN00:50
1.5 Overview of Lean02:06
1.6 Principles of Lean02:40
1.7 Types of Waste04:59
1.8 Lean Journey03:27
1.9 Roots of Lean01:00
1.10 Lean at Ford02:02
1.11 Toyota Production System (TPS)01:35
1.12 Just In Time (JIT)04:25
1.13 Lean Successes and Benefits01:06
1.14 Efficiency Business Model Fit04:11
1.15 Cash Flow Improvement01:53
1.16 Increased Capacity for Revenue01:36
1.17 Its Challenges00:40
1.18 Process Changes Cause a Rethinking of Process Flow01:34
1.19 Disruptions Downtime Design Failures01:12
1.20 Low Volume High Mix02:20
1.21 High Variability Customization Demand02:10
1.22 Summary00:31
1.23 Quiz
1.24 Thank You00:04
Lesson 02 – Types of Waste24:48
2.1 Welcome00:07
2.2 Types of Waste Introduction00:36
2.3 Agenda00:21
2.4 THE MAIN ONES00:54
2.5 Transportation02:53
2.6 Inventory02:15
2.7 Motion01:54
2.8 Waiting01:41
2.9 Over Production02:02
2.10 Over Processing01:51
2.11 Defect01:30
2.12 Other Types of Waste00:25
2.13 Underutilized Skills01:18
2.14 Wrong Use of Automation03:00
2.15 Wrong Use of Metrics03:09
2.16 Summary00:49
2.17 Quiz
2.18 Thank You00:03
Lesson 03 – Tools48:45
3.1 Welcome00:07
3.2 Lean Management Tools00:35
3.3 Agenda02:06
3.4 Five-S Plus One00:35
3.5 Seiri03:03
3.6 Seiton02:09
3.7 Seiso04:28
3.8 Seiketsu04:02
3.9 Shitsuke03:51
3.10 Safety00:57
3.11 Five-S plus One Summary01:05
3.12 Value Stream Mapping02:13
3.13 Kaizen04:06
3.14 Kaizen Blitz01:43
3.15 Takt03:10
3.16 Jidoka01:47
3.17 Kanban05:04
3.18 Poka Yoke03:32
3.19 SMED03:33
3.20 Summary00:36
3.21 Quiz
3.22 Thank You00:03
Lesson 04 – Lean in Manufacturing14:00
4.1 Welcome00:07
4.2 Lean in Manufacturing00:36
4.3 Agenda00:28
4.4 Background04:59
4.5 Boeings Lean Journey00:31
4.6 History and Background01:14
4.7 Lean Principles Embraced01:32
4.8 Lean Implementation01:52
4.9 Waste Elimination Focus Areas02:13
4.10 Summary00:25
4.11 Quiz
4.12 Thank You00:03
Lesson 05 – Lean in Service18:07
5.1 Welcome00:07
5.2 Lean in Service00:36
5.3 Agenda00:21
5.4 Background03:21
5.5 Lean in Healthcare00:17
5.6 Types of Waste03:03
5.7 Case Study Virginia Mason09:47
5.8 Summary00:31
5.9 Quiz
5.10 Thank You00:04
Lesson 06 – Lean in Office15:56
6.1 Welcome00:08
6.2 Lean Management Lean in Office00:51
6.3 Agenda00:23
6.4 Background01:25
6.5 Lean in Office00:19
6.6 Five-S in Office07:21
6.7 Types of Waste in Office01:58
6.8 Types of Waste in Office(cont.)02:32
6.9 Summary00:56
6.10 Quiz
6.11 Thank You00:03
Lesson 07 – Lean Metrics29:55
7.1 Welcome00:08
7.2 Lean Management Lean Metrics00:53
7.3 Agenda01:04
7.4 Overview02:44
7.5 OEE06:25
7.6 FPY & RTY02:42
7.7 Days in Inventory01:46
7.8 Schedule Adherence Attainment04:31
7.9 Lean Accounting04:52
7.10 Lean Accounting(Cont.)03:15
7.11 Summary01:30
7.12 Quiz
7.13 Thank You00:05
Lesson 08 – Other Methodologies That Complement Lean29:55
8.1 Welcome00:08
8.2 Lean Management Other Methodologies That Complement Lean00:52
8.3 Agenda00:46
8.4 Theory of Constraints04:10
8.5 Theory of Constraints(Cont.)08:25
8.6 Quick Response Manufacturing04:45
8.7 Factory Physics02:11
8.8 Six Sigma05:18
8.9 Six Sigma Implementation Roles02:17
8.10 Summary00:59
8.11 Quiz
8.12 Thank You00:04
Lesson 09 – Lean Maturity Matrix22:00
9.1 Welcome00:08
9.2 Lean Maturity Matrix00:51
9.3 Agenda00:30
9.4 Overview02:43
9.5 Assessment Process02:38
9.6 Assessment Criteria06:30
9.7 Lean Maturity Levels06:50
9.8 Lean Maturity Matrix00:48
9.9 Summary00:58
9.10 Quiz
9.11 Thank You00:04

Course 2Online Classroom Flexi Pass

Certified Lean Six Sigma Green Belt
The Lean Six Sigma Green Belt Certification program is the second stage in the Lean Six Sigma Masters program. You’ll learn the core principles of Lean Six Sigma, how to implement quality projects and applications, and how to use the Minitab tool for effective statistical analysis. The course is aligned to IASSC exam, integrates lean and DMAIC methodologies using case studies and real-life examples, and will give you the skills to empower your organization for continuous improvement.

Module 00 – Course Introduction
Lesson 00 – Course Introduction05:01
1 Course Introduction05:01
Module 01 – Six Sigma and Organizational Goals
Lesson 1.0 – Introduction to Six Sigma and Organizational Goals00:32Preview
Lesson 1.1 – Six Sigma and Organizational Goals28:50Preview
Lesson 1.2 – Lean Principles in the Organization24:32Preview
Lesson 1.3 – Design for Six Sigma (DFSS) Methodologies16:03Preview
Lesson 1.4 – Summary to Six Sigma and the Organization01:09
Module 02 – Define Phase
Lesson 2.0 – Introduction to Define Phase01:07Preview
Lesson 2.1 – Project Identification13:01Preview
Lesson 2.2 – Voice of the Customer (VOC)36:38Preview
Lesson 2.3 – Project Management Basics29:28Preview
Lesson 2.4 – Management and Planning Tools (Apply)12:04Preview
Lesson 2.5 – Business Results for Projects14:37Preview
Lesson 2.6 – Team Dynamics and Performance18:51Preview
Lesson 2.7 – Summary of Define Phase01:59
Lesson 2.8 – Project 107:55
Module 03 – Measure Phase
Lesson 3.0 – Introduction to Measure Phase01:21Preview
Lesson 3.1 – Process Analysis and Documentation (Create)14:46Preview
Lesson 3.2 – Probability and Statistics18:00
Lesson 3.3 – Collecting and Summarizing Data39:13Preview
Lesson 3.4 – Statistical Distributions(Understand)32:44Preview
Lesson 3.5 – Measurement System Analysis(MSA)(Evaluate)29:42Preview
Lesson 3.6 – Process and Performance Capability32:40Preview
Lesson 3.7 – Summary of Measure Phase02:25
Lesson 3.8 – Project 108:11
Module 04 – Analyze Phase
Lesson 4.0 – Introduction to Analyze Phase01:11Preview
Lesson 4.1 – Hypothesis Testing54:07Preview
Lesson 4.2 – Exploratory Data Analysis31:01Preview
Lesson 4.3 – Summary of Analyze Phase01:24
Lesson 4.4 – Project 105:58
Module 05 – Improve Phase
Lesson 5.0 – Introduction to Improve Phase01:07Preview
Lesson 5.1 – Design of Experiments(DOE)15:47Preview
Lesson 5.2 – Root Cause Analysis(Analyze)10:32Preview
Lesson 5.3 – Lean Tools08:49Preview
Lesson 5.4 – Selecting a Solution11:54Preview
Lesson 5.5 – Summary Improve Phase01:53Preview
Lesson 5.6 – Project 105:13
Module 06 – Control Phase
Lesson 6.0 – Introduction to Control Phase00:53
1 Introduction to Control Phase00:53
Lesson 6.1 – Statistical Process Control(SPC)41:26
1 Welcome Screen00:49
2 SPC Basics05:52
3 Control Charts and Analysis05:50
4 Knowledge Check 1
5 Choosing an Appropriate Control Chart02:00
6 X Chart Principles08:08
7 I-MR Chart02:58
8 Control Charts for Attribute Data01:05
9 NP Chart and P Chart04:18
10 C Chart and U Chart04:20
11 Knowledge Check 2
12 CuSum and EWMA Charts04:02
13 Quiz
14 Key Takeaways02:04
Lesson 6.2 – Control Plan (Apply)20:47
1 Welcome Screen01:19
2 Control Plan and Response Plan04:26
3 Cost Benefit Analysis & KPIV and KPOV06:23
4 Control Level and Transactional Control Plan08:01
5 Knowledge Check
6 Quiz
7 Key Takeaways00:38
Lesson 6.3 – Lean Tools for Process Control13:32
1 Welcome Screen00:55
2 Total Productive Maintenance03:27
3 Knowledge Check 1
4 Visual Factory03:33
5 Knowledge Check 2
6 5S04:39
7 Quiz
8 Key Takeaways00:58
Lesson 6.4 – Summary of Control Phase01:53
1 Summary of Control Phase01:53
Lesson 6.5 – Project 103:56
1 Project 01 – Control Phase Forklift Process(contd.)03:56
Tips and Tricks
Tips and Tricks03:33
1 Exam Tips01:02
2 ASQ Exam01:35
3 IASSC Exam00:56
Practice Projects
Practice Projects
Reducing Sealant Waste
Improving Manufacturing Process

Course 3

Minitab®
This course ensures that you learn the practical applications of the latest version of the statistical tool, Minitab® 17 and excel at the tools used by both Lean Six Sigma Green Belt and Black Belt professionals. The course covers 9 case studies in the domains of Healthcare, IT and IT Services, and Manufacturing, and each case study describes a problem and its solution using Minitab® 17.

Minitab

Lesson 01 – Introduction to MINITAB19:24
1.1 Lesson 01 – Introduction to Minitab01:07
1.2 Overview and Imp of Minitab08:09
1.3 Worksheet Format and Structure03:53
1.4 Data Windows Conventions02:27
1.5 Menu Bar Overview02:48
1.6 Quiz
1.7 Summary01:00
Lesson 02 – Interoperability in Minitab08:54
2.1 Lesson 02 – Interoperability in Minitab00:43
2.2 Transferring data from MS Excel to Minitab01:46
2.3 Transfer Data from Excel to Minitab Demo01:13
2.4 Exporting Analysis data from Minitab to Word and PPT00:40
2.5 Export Analysis Data from Minitab to PPT and Word Demo01:24
2.6 Exporting data from Session Window to Word and PPT00:08
2.7 Exporting data Session Window to Word and PPT Demo02:24
2.8 Quiz
2.9 Summary00:36
Lesson 03 – Lean Six Sigma Green Belt case study27:48
3.1 Lesson 03 – Lean Six Sigma Green Belt case study00:56
3.2 Case Study of Healthcare02:47
3.3 Generate Bar Chart in Minitab00:05
3.4 Generating Bar Chart Demo01:52
3.5 Using Pie Chart00:52
3.6 Pie Chart Demo01:37
3.7 Computing Pareto Chart01:01
3.8 Pareto Chart Demo01:18
3.9 Defining Normality Test00:53
3.10 Normality Test Demo01:06
3.11 Preparing Run Chart00:36
3.12 Run Chart Demo01:41
3.13 Creating Histogram00:40
3.14 Histogram Demo01:17
3.15 Creating Box Plot00:20
3.16 Generate Box Plot Demo02:27
3.17 Categorizing Measuring CT and Spread00:40
3.18 Measuring Central Tendency and Spread Demo01:29
3.19 Examine Sample Size Determination00:30
3.20 Sample Size Determination Demo01:50
3.21 Use Control Charts for Continuous Data00:38
3.22 Control Charts for Continuous Data Demo02:04
3.23 Quiz
3.24 Summary01:09
Lesson 04 – Case Study on Lean SS Green Belt32:35
4.1 Lesson 04 – Case Study on Lean SS Green Belt01:47
4.2 Sorting Data03:08
4.3 Sorting Data Demo02:10
4.4 Project Duration00:28
4.5 Using Calculator00:55
4.6 Apply Formulas to Columns00:07
4.7 Applying Formulas to Columns Demo01:11
4.8 Changing Data Types00:06
4.9 Changing Data Type Demo01:33
4.10 Process Capability Indices00:07
4.11 Process Capability Indices Demo02:33
4.12 Dot Plot00:06
4.13 Dot Plot Demo01:46
4.14 Individual Value Plot00:06
4.15 Individual Value Plot Demo01:52
4.16 Interval Plot00:06
4.17 Interval Plot Demo02:14
4.18 Scatter Plot00:05
4.19 Scatter Plot Demo02:05
4.20 Calculate Z Value00:06
4.21 Calculate Z Value Demo02:39
4.22 Identify Distribution00:07
4.23 Identify Distribution Demo01:44
4.24 Transform data to Normal distribution00:09
4.25 Transform data to Normal distribution Demo01:49
4.26 Control Charts for Discrete Data00:07
4.27 Control Charts for Discrete Data Demo02:00
4.28 Quiz
4.29 Summary01:29
Lesson 05 – Gage R and R Analysis and Attribute R and R Analysis19:58
5.1 Lesson 05 – Gage R and R Analysis and Attribute R and R Analysis01:08
5.2 Measurement System Analysis06:17
5.3 Gage Repeatability and Reproducibility Analysis Method00:08
5.4 Gage Repeatability and Reproducibility Analysis Method Demo05:48
5.5 Attribute Repeatability and Reproducibility Analysis Method01:38
5.6 Attribute Repeatability and Reproducibility Analysis Method Demo03:21
5.7 Conclusion00:55
5.8 Quiz
5.9 Summary00:43
Lesson 06 – Case Study on Lean SS Black Belt22:41
6.1 Lesson 06 – Case Study on Lean SS Black Belt00:59
6.2 Generate CCA in Minitab04:35
6.3 Interpret Correlation Coefficient Analysis00:06
6.4 Interpreting Correlation Coefficient Analysis Demo03:04
6.5 Conclusion01:02
6.6 Use of Contour Graph01:36
6.7 Create Contour Graph Demo01:49
6.8 Hypothesis Test for Normally Distributed Data02:16
6.9 2 Sample t Test Demo01:34
6.10 Hypothesis 1 Sample t-Test00:38
6.11 1 Sample t Test Demo01:29
6.12 Hypothesis-Paired t-Test01:08
6.13 Paired t Test Demo01:18
6.14 Quiz
6.15 Summary01:07
Lesson 07 – Regression Analysis in Minitab12:02
7.1 Lesson 07 – Regression Analysis in Minitab00:54
7.2 Simple Linear Regression03:11
7.3 Simple Linear Regression in Minitab Demo02:16
7.4 Conclusion00:24
7.5 Multiple Regression02:04
7.6 Multiple Regression in Minitab Demo02:11
7.7 Conclusion00:15
7.8 Quiz
7.9 Summary00:47
Lesson 08 – Hypothesis Tests for Non-Normally distributed Data11:10
8.1 Lesson 08 – Hypothesis Tests for Non-Normally Distributed Data00:54
8.2 Non Parametric Tests02:53
8.3 1 Sample Sign test in Minitab Demo01:39
8.4 Hypothesis-2 Sample Mann Whitney U Test00:48
8.5 2 Sample Mann Whitney U Test in Minitab Demo01:24
8.6 Hypothesis-Kruskal Wallis Test00:44
8.7 Kruskal Wallis Test in Minitab Demo02:00
8.8 Quiz
8.9 Summary00:48
Lesson 09 – Analysis of Variance14:08
9.1 Lesson 09 – Analysis of Variance00:47
9.2 Analysis of Variance02:57
9.3 Test of Normality Demo01:15
9.4 Analyze the next assumption00:12
9.5 Test of Equal Variances Demo01:45
9.6 One-way ANOVA test Demo01:28
9.7 Conclusion00:14
9.8 Main Effects Plot00:59
9.9 Main Effects Plot Demo01:19
9.10 Interaction Plot00:56
9.11 Interaction Plot Demo01:22
9.12 Conclusion00:12
9.13 Quiz
9.14 Summary00:42
Lesson 10 – Chi Square Test for Association05:26
10.1 Lesson 10 – Chi Square Test for Association00:34
10.2 Chi-Square Testing02:42
10.3 Chi Square Test of Independence using Minitab Demo01:33
10.4 Quiz
10.5 Summary00:37
Lesson 11 – Design of Experiments12:26
11.1 Lesson 11 – Design of Experiments01:07
11.2 Design of Experiment05:16
11.3 Factorial Design in Minitab Demo05:06
11.4 Conclusion00:18
11.5 Quiz
11.6 Summary00:39
Lesson 12 – Common Pitfalls while Analyzing Data08:54
12.1 Lesson 12 – Common Pitfalls while Analyzing Data01:05
12.2 Common Pitfalls in Data Analysis06:51
12.3 Quiz
12.4 Summary00:58

Course 4Online Classroom Flexi Pass

Certified Lean Six Sigma Black Belt
The Lean Six Sigma Black Belt training is the most exclusive certification for the Lean Six Sigma quality management methodology. This Six Sigma Black Belt certification course is the final stage of the Masters program that will position you as an expert in implementing Lean, Design for Six Sigma (DFSS), Six Sigma Define, Measure, Analyze, Improve and Control (DMAIC) and Total Productive Maintenance (TPM). Join this exclusive worldwide group of 4000 certified Lean Six Sigma Black Belts today.

Lean Six Sigma Black Belt

Section 00 – Six Sigma Black Belt07:12
0.1 Welcome00:09
0.2 Six Sigma Black Belt00:32
0.3 Agenda00:48
0.4 What is SSBB01:43
0.5 Accreditation Institute01:18
0.6 Target Audience00:48
0.7 SSBB Exam Format00:56
0.8 Simplilearn LSSBB Course Offer00:53
0.9 Thank You00:05
Section 01 – Overview01:56:19
1.1 Welcome00:08
1.2 Overview00:26
1.3 Agenda01:19
1.4 Lesson 1 About LSSBB00:15
1.5 Agenda00:32
1.6 What is Six Sigma02:02
1.7 Six Sigma Roles and Responsibilities02:44
1.8 About SSBB01:54
1.9 LSSBB Roles and Responsibilities02:37
1.10 Summary00:55
1.11 Lesson 2 Organizational Roadblocks00:29
1.12 Agenda00:38
1.13 Traditional Organization versus Customer Driven Organization01:36
1.14 Types of Organizational Roadblocks01:21
1.15 Types of Organizational Roadblocks(Contd.)01:24
1.16 Types of Organizational Roadblocks(Contd.)01:11
1.17 Types of Organizational Roadblocks(Contd.)01:07
1.18 Types of Organizational Roadblocks(Contd.)00:59
1.19 Types of Organizational Roadblocks(Contd.)01:14
1.20 Types of Organizational Roadblocks(Contd.)01:34
1.21 Change Resistance Curve00:51
1.22 Change Resistance Curve(Contd.)01:38
1.23 Change Resistance Curve(Contd.)01:25
1.24 Common Resistance Points00:56
1.25 Common Resistance Points(Contd.)02:00
1.26 Overcoming Resistance Points01:06
1.27 Force Field Analysis00:47
1.28 Force Field Analysis(Contd.)01:13
1.29 Force Field Analysis(Contd.)01:14
1.30 Force Field Analysis(Contd.)00:55
1.31 Summary01:12
1.32 Lesson 3 Role of Communication and Selection Criteria in Black Belt00:10
1.33 Agenda00:38
1.34 Black Belt Role Summary01:05
1.35 Black Belt Communication Expectations01:51
1.36 Black Belt Selection Criteria01:05
1.37 Summary00:32
1.38 Lesson 4 Overview of Continuous Improvement00:07
1.39 Agenda00:29
1.40 Continual Improvement Process01:25
1.41 Continuous versus Continual Improvement01:20
1.42 Kaizen Continual Improvement01:43
1.43 Kaizen Continual Improvement(Contd.)02:15
1.44 Summary00:27
1.45 Lesson 5 Lean An Overview00:26
1.46 Agenda00:24
1.47 What is Lean00:46
1.48 History of Lean01:18
1.49 Principles of Lean01:19
1.50 Key Benefits of Implementing Lean01:52
1.51 Key Benefits of Implementing Lean(Contd.)00:49
1.52 Why Lean before Six Sigma01:43
1.53 Summary00:39
1.54 Lesson 6 Lean Concepts Explained00:26
1.55 Agenda00:39
1.56 Warusa Kagen01:07
1.57 Warusa Kagen(Contd.)00:51
1.58 3Ms00:59
1.59 8 Types of Waste (TIMWOODS)02:33
1.60 Mottainai01:06
1.61 Hoshin Kanri00:45
1.62 Hoshin Kanri(Contd.)00:58
1.63 Hoshin Kanri(Contd.)03:14
1.64 Takt Time01:02
1.65 Takt Time(Contd.)01:39
1.66 Cycle Time01:48
1.67 Lead Time01:31
1.68 Lead Time Assignment00:40
1.69 Lead Time Assignment(Contd.)01:32
1.70 Production Cycle Efficiency01:19
1.71 Batch Size01:05
1.72 Every Part Every Interval(EPEI)00:30
1.73 EPEI(Contd.)01:52
1.74 EPEI(Contd.)01:11
1.75 EPEI Calculation Spreadsheet00:16
1.76 Batch Size Assignment01:25
1.77 Batch Size Assignment(Contd.)01:19
1.78 Batch Size Assignment(Contd.)00:57
1.79 Batch Size Assignment(Contd.)01:21
1.80 Batch Size Assignment(Contd.)00:52
1.81 Crew Size00:54
1.82 Crew Size Assignment01:04
1.83 Crew Size Assignment(Contd.)01:06
1.84 Crew Size Assignment(Contd)01:12
1.85 Standardized Working Progress(SWIP)01:26
1.86 Summary00:46
1.87 Lesson 7 Lean Tools Explained00:20
1.88 Agenda00:19
1.89 5S00:58
1.90 5S(Contd.)00:59
1.91 5S Audit Worksheet00:16
1.92 SMED01:58
1.93 SMED(Contd.)01:23
1.94 Heijunka01:26
1.95 Heijunka An Example01:09
1.96 Genchi Genbutsu01:17
1.97 Value Stream Mapping(VSM)01:26
1.98 VSM Symbols00:24
1.99 Value Stream Mapping(Contd.)00:56
1.100 Value Stream Mapping(Contd.)03:11
1.101 Summary00:42
1.102 Quiz
1.103 Thank You00:05
Section 02 – DFSS, Pre-define and Define (DMAIC)01:27:05
2.1 Welcome00:07
2.2 Agenda00:44
2.3 DFSS Pre Define and Define(DMAIC)00:12
2.4 DFSS Design for Six Sigma and DMAIC versus DFSS00:18
2.5 Agenda00:52
2.6 Agenda(Contd.)00:36
2.7 Design for Six Sigma(DFSS)01:47
2.8 DFSS Approach to Problem Solving01:12
2.9 DMAIC Approach to Problem Solving01:09
2.10 DMAIC versus DFSS01:27
2.11 DFSS Tools00:51
2.12 Toll Gate Review00:57
2.13 Benchmarking01:15
2.14 MSA01:36
2.15 VOC01:27
2.16 Needs Vs Requirements02:17
2.17 KJ Diagram01:12
2.18 Quality Function Deployment(QFD)01:14
2.19 Kano Model02:34
2.20 Kano Model(Contd.)00:59
2.21 Kano Model(Contd.)01:42
2.22 HOQ01:02
2.23 HOQ(Contd.)01:20
2.24 HOQ(Contd.)00:14
2.25 AHP01:52
2.26 AHP(Contd.)01:03
2.27 Pugh Matrix for Concept Selection01:22
2.28 Pugh Matrix for Concept Selection(Contd.)00:52
2.29 Sample Pugh Matrix02:36
2.30 Monte Carlo Simulation01:13
2.31 Design for X01:04
2.32 Summary00:57
2.33 Lesson 2 Pre Define Activities00:12
2.34 Agenda01:08
2.35 Prerequisites of a Six Sigma Project01:14
2.36 Qualifications of a Six Sigma Project01:07
2.37 Cornerstones of a Six Sigma Project01:22
2.38 Six Sigma Deployment Cycle Plan01:49
2.39 10 Point Ongoing Project Evaluation01:07
2.40 Project Prioritization Matrix01:02
2.41 Project Prioritization Matrix(Contd.)01:31
2.42 Enterprise Wide versus LOB View01:10
2.43 Enterprise Wide Roles and Responsibilities01:23
2.44 NPV(Net Present Value)02:07
2.45 Internal Rate of Return(IRR)01:06
2.46 NPV and IRR An Example
2.47 NPV and IRR An Example(Contd.)01:40
2.48 Summary00:56
2.49 Lesson 3 Define00:12
2.50 Agenda01:41
2.51 Define Key Objectives00:49
2.52 Voice of Customer01:05
2.53 Voice of Business00:55
2.54 Voice of Process00:56
2.55 VOC VOB and VOP01:02
2.56 Kano Model01:09
2.57 Assignment00:59
2.58 Translation to Project Y00:57
2.59 Quality Function Deployment01:25
2.60 Quality Function Deployment(Contd.)00:57
2.61 Quality Function Deployment An Example00:36
2.62 Process Map00:53
2.63 Y Baseline Performance01:10
2.64 Y Baseline Performance(Contd.)01:14
2.65 SIPOC00:58
2.66 Project Charter01:25
2.67 The Problem Statement and the Goal Statement01:26
2.68 RACI Matrix00:49
2.69 Business Metrics01:16
2.70 Business Metrics(Contd.)01:20
2.71 Project Deliverables01:25
2.72 Project Scheduling01:06
2.73 Team Selection01:08
2.74 Define Roles and Responsibilities01:06
2.75 Define Tools Summary00:29
2.76 Lesson 3 Summary01:37
2.77 Quiz
2.78 Thank You00:03
Section 03 – Measure01:58:59
3.1 Measure00:10
3.2 Introduction to MEASURE00:22
3.3 Agenda01:59
3.4 Pre Measure Considerations and Tools00:19
3.5 Agenda00:12
3.6 Define Phase Toll Gate Review01:07
3.7 DFMEA01:14
3.8 DFMEA(Contd.)00:51
3.9 DFMEA(Contd.)00:20
3.10 DFMEA(Contd.)00:19
3.11 DFMEA(Contd.)01:18
3.12 Cause and Effect Matrix(CE Matrix)01:02
3.13 Cause and Effect Matrix(Contd.)00:57
3.14 Cause and Effect Matrix(CE Matrix)(Contd.)00:32
3.15 Cause and Effect Matrix(CE Matrix)(Contd.)00:29
3.16 Cause and Effect Matrix(CE Matrix)(Contd.)00:36
3.17 Cause and Effect Matrix(Contd.)00:22
3.18 Summary00:19
3.19 Types of Data and Measurement Scales00:14
3.20 Agenda00:19
3.21 Objectives of Measure Phase01:08
3.22 What is a Process00:55
3.23 Flowcharts01:41
3.24 SIPOC01:01
3.25 SIPOC(Contd.)01:20
3.26 SIPOC(Contd.)00:15
3.27 Metrics00:54
3.28 Measurement Scales01:00
3.29 Measurement Scales(Contd.)00:42
3.30 Measurement Scales(Contd.)01:00
3.31 Types of Data01:04
3.32 Types of Data(Contd.)01:01
3.33 Summary00:23
3.34 Central Tendency and Dispersion00:14
3.35 Agenda00:33
3.36 Central Tendency and Dispersion Introduction00:57
3.37 Mean00:32
3.38 Mean(Contd.)01:16
3.39 Median00:48
3.40 Mode01:11
3.41 Range01:21
3.42 Variance01:01
3.43 Standard Deviation00:53
3.44 Mean Deviation00:43
3.45 Summary00:25
3.46 Measurement System Analysis00:18
3.47 Agenda00:52
3.48 Purpose of Measurement System Analysis00:49
3.49 Measurement System Errors00:59
3.50 Measurement System Errors(Contd.)00:23
3.51 Measurement System Errors(Contd.)00:56
3.52 Properties of Good Measurement Systems01:07
3.53 Measurement System Errors Illustrated01:06
3.54 Measurement System Discrimination00:32
3.55 Bias00:40
3.56 Bias(Contd.)01:28
3.57 Measurement System Analysis Process Flow00:46
3.58 Part Variation00:49
3.59 Measurement System Analysis Formulas01:19
3.60 Measurement Systems Analysis Example01:00
3.61 Measurement Systems Analysis Example(Contd.)00:07
3.62 Measurement Systems Analysis Graphs00:34
3.63 Measurement Systems Analysis Graphs(Contd.)00:25
3.64 Measurement Systems Analysis Graphs(Contd.)00:55
3.65 Assignment00:53
3.66 Attribute RR00:57
3.67 Attribute RR(Contd.)00:46
3.68 Attribute RR(Contd.)00:13
3.69 Attribute RR(Contd.)01:08
3.70 Attribute RR(Contd.)00:36
3.71 Attribute RR(Contd.)00:35
3.72 Attribute RR(Contd.)00:49
3.73 Attribute RR(Contd.)00:22
3.74 Attribute RR(Contd.)00:26
3.75 Attribute RR(Contd.)01:12
3.76 When to Do Measurement System Analysis00:32
3.77 Data Collection Plan01:17
3.78 Data Collection Plan Template and Example00:41
3.79 Summary00:38
3.80 Stability Conditions00:14
3.81 Agenda00:35
3.82 Controlled Process and Variation00:36
3.83 Special Causes of Variation01:10
3.84 Common Causes of Variation01:18
3.85 Common Causes of Variation(Contd.)01:10
3.86 Stability Introduction and SPC01:51
3.87 Stability Check with Minitab00:26
3.88 Stability Check with Minitab(Contd.)01:21
3.89 Stability Check with Minitab(Contd.)00:56
3.90 Stability Check with Minitab(Contd.)00:40
3.91 Stability Check using Run Charts00:33
3.92 Stability Conditions00:54
3.93 Central Limit Theorem00:56
3.94 Summary00:33
3.95 Capability Metrics00:15
3.96 Agenda00:18
3.97 Process Capability Pre Considerations01:38
3.98 Process Capability Pre Considerations(Contd.)00:54
3.99 Process Capability Pre Considerations(Contd.)00:57
3.100 Process Capability Pre Considerations(Contd.)01:01
3.101 Process Capability Pre Considerations(Contd.)00:59
3.102 Process Capability Pre Considerations(Contd.)00:06
3.103 Process Capability Pre Considerations(Contd.)
3.104 Process Capability Pre Considerations(Contd.)
3.105 Process Capability Pre Considerations(Contd.)00:42
3.106 Process Capability Indices for Continuous Data00:51
3.107 Process Capability Indices for Continuous Data(Contd.)01:12
3.108 Process Capability Indices for Continuous Data(Contd.)00:45
3.109 Process Capability Indices Interpretation00:47
3.110 Process Capability for Discrete Data00:58
3.111 Process Capability for Discrete Data(Contd.)00:22
3.112 Process Capability for Discrete Data(Contd.)00:14
3.113 Non Normal Capability Analysis00:59
3.114 Non Normal Capability Analysis(Contd.)00:32
3.115 Non Normal Capability Analysis(Contd.)00:28
3.116 Non Normal Capability Analysis(Contd.)00:35
3.117 Non Normal Capability Analysis(Contd.)01:46
3.118 Non Normal Capability Analysis(Contd.)00:59
3.119 Assignment01:01
3.120 Summary00:42
3.121 Variations Variability Capability and Process Conditions00:17
3.122 Agenda00:11
3.123 Variations and Variability01:30
3.124 Variations and Variability(Contd.)
3.125 Variations and Variability(Contd.)00:53
3.126 Capability and Process Conditions01:03
3.127 Summary00:09
3.128 Data Distributions00:13
3.129 Agenda00:32
3.130 Permutations and Combinations01:17
3.131 Permutations and Combinations(Contd.)01:04
3.132 Frequency and Cumulative Distributions00:55
3.133 Binomial Distribution00:55
3.134 Binomial Distribution(Contd.)01:29
3.135 Binomial Distribution(Contd.)00:35
3.136 Binomial Distribution(Contd.)00:40
3.137 Poisson Distribution01:21
3.138 Poisson Distribution(Contd.)00:54
3.139 Poisson Distribution(Contd.)01:03
3.140 Normal Distribution00:48
3.141 Normal Distribution(Contd.)00:58
3.142 Exponential Distribution00:41
3.143 Exponential Distribution01:13
3.144 Summary00:22
3.145 Sigma Shift Mean Shift and Reducing Variations00:07
3.146 Agenda00:12
3.147 Sigma Shift00:59
3.148 Mean Shift or Reducing Variations01:19
3.149 Mean Shift or Reducing Variations(Contd.)00:48
3.150 Baseline Data00:28
3.151 Summary00:10
3.152 Measure Phase Summary00:48
3.153 Measure Activity Summary00:33
3.154 Measure Tools Summary00:46
3.155 Quiz
3.156 Thank You00:03
Section 04 – Analyze01:56:46
4.1 Welcome00:11
4.2 Analyze00:19
4.3 Agenda01:59
4.4 Lesson 1 Pre Analyze Considerations00:16
4.5 Agenda00:28
4.6 Analyze Phase Introduction00:18
4.7 Pre Analyze Considerations01:04
4.8 Pre Analyze Considerations(Contd.)00:39
4.9 Objectives of Analyze00:55
4.10 Visually Displaying Data01:58
4.11 Summary00:34
4.12 Lesson 2 Value Stream Analysis00:18
4.13 Agenda00:26
4.14 Value Waste and NVA Activities01:14
4.15 What is a Value Stream01:25
4.16 Value Stream Example01:09
4.17 Value Stream Analysis Muda01:08
4.18 Value Stream Analysis Muda(Contd.)01:31
4.19 Value Stream Map00:16
4.20 Value Stream Map(Contd.)01:18
4.21 Spaghetti Charts01:21
4.22 Spaghetti Chart As Is00:21
4.23 Spaghetti Chart Should Be00:27
4.24 Spaghetti Charts(Contd.)00:32
4.25 Summary00:17
4.26 Lesson 3 Sources of Variation00:07
4.27 Agenda00:27
4.28 Sources of Variation02:01
4.29 Sources of Variation(Contd.)01:05
4.30 Cause and Effect Diagram01:23
4.31 Cause and Effect Diagram(Contd.)00:31
4.32 Cause and Effect Diagram(Contd.)00:49
4.33 Cause and Effect Diagram(Contd.)00:14
4.34 Affinity Diagram01:35
4.35 Box Plot01:16
4.36 Box Plot (Contd.)00:13
4.37 Box Plot(Contd.)00:28
4.38 Box Plot(Contd.)01:09
4.39 Box Plot(Contd.)00:21
4.40 Summary00:24
4.41 Lesson 4 Regression00:15
4.42 Agenda00:31
4.43 Objectives of Regression Analysis01:05
4.44 Concepts of Regression Analysis01:17
4.45 Concepts of Regression Analysis(Contd.)01:17
4.46 Simple Linear Regression01:14
4.47 Simple Linear Regression(Contd.)00:25
4.48 Simple Linear Regression(Contd.)01:48
4.49 Simple Linear Regression(Contd.)00:53
4.50 Simple Linear Regression(Contd.)00:31
4.51 Simple Linear Regression(Contd.)01:13
4.52 Multiple Linear Regression01:05
4.53 Multiple Linear Regression(Contd.)00:22
4.54 Multiple Linear Regression(Contd.)01:53
4.55 Multiple Linear Regression(Contd.)02:05
4.56 Multiple Linear Regression(Contd.)00:30
4.57 Multiple Linear Regression(Contd.)01:41
4.58 Multiple Linear Regression(Contd.)00:50
4.59 Multiple Linear Regression(Contd.).mp401:16
4.60 Multiple Linear Regression(Contd.)00:52
4.61 Best Subsets Regression and Stepwise Regression01:03
4.62 Summary00:26
4.63 Lesson 5 Confidence Intervals00:12
4.64 Agenda00:40
4.65 Concepts of Confidence Intervals and Confidence Intervals Testing01:16
4.66 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.)00:46
4.67 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.)01:11
4.68 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.)00:54
4.69 Confidence Intervals for Difference between Two Means00:44
4.70 Confidence Intervals Working01:33
4.71 Confidence Intervals Working(Contd.)01:26
4.72 Confidence Intervals Impactors01:14
4.73 Chi Square Confidence Intervals for Variances00:33
4.74 Chi-Square Confidence Intervals for Variances(Contd.)01:00
4.75 Z Confidence Intervals for Proportions01:02
4.76 Chi Square and Probability01:07
4.77 T Distribution Confidence Intervals01:12
4.78 Summary00:30
4.79 Lesson 5 Parametric Hypothesis Testing00:16
4.80 Agenda00:42
4.81 Agenda(Contd.)00:31
4.82 Hypothesis Testing Objective00:55
4.83 Hypothesis Testing Concepts00:35
4.84 Null and Alternate Hypothesis00:56
4.85 Type 1 Error01:07
4.86 Type II Error01:10
4.87 Significance Level (α)00:56
4.88 Significance Level (α) (Contd.)00:52
4.89 Type II Error (Contd.)01:02
4.90 β and Power00:58
4.91 P Value, and Acceptance and Rejection Conditions00:52
4.92 Sample Size Determination for Tests00:54
4.93 1 Sample z Test00:55
4.94 1 Sample z Test(Contd.)00:48
4.95 1 Sample z Test(Contd.)00:52
4.96 2 Sample z test00:54
4.97 f Test of Equality of Variances00:47
4.98 1 Sample t Test00:53
4.99 1 Sample t Test(Contd.)00:32
4.100 2 Sample t Test01:03
4.101 2 Sample t Test00:30
4.102 2 Sample t Test00:56
4.103 Paired t Test00:37
4.104 Paired t Test(Contd.)00:07
4.105 Paired t Test Interpretation00:57
4.106 Paired t Test(Contd.)00:28
4.107 Paired t Test(Contd.)00:42
4.108 ANOVA00:49
4.109 One Way ANOVA00:35
4.110 Two Way ANOVA with Replication00:44
4.111 Two Way ANOVA with Replication(Contd.)00:23
4.112 Two Way ANOVA with Replication(Contd.)00:11
4.113 Two Way ANOVA with Replication(Contd.)01:06
4.114 Summary00:53
4.115 Lesson 7 Nonparametric Hypothesis Testing00:16
4.116 Agenda00:32
4.117 Nonparametric Testing Conditions02:03
4.118 Mann Whitney Test00:51
4.119 Mann Whitney Test(Contd.)00:58
4.120 1 Sample Sign00:53
4.121 Wilcoxon Sign Rank Test01:08
4.122 Kruskal Wallis01:10
4.123 Mood’s Median01:25
4.124 Friedman ANOVA00:57
4.125 Friedman ANOVA(Contd.)00:27
4.126 Summary01:10
4.127 Lesson 8 Analyze Additionals Categorical Data and Current Reality Tree00:20
4.128 Agenda00:19
4.129 Categorical Data Analysis00:47
4.130 Categorical Data Analysis(Contd.)00:36
4.131 Categorical Data Analysis(Contd.)01:05
4.132 Categorical Data Analysis(Contd.)00:48
4.133 Current Reality Tree00:55
4.134 Current Reality Tree(Contd.)00:13
4.135 Summary00:31
4.136 Activity Summary Analyze00:49
4.137 Tools Summary Analyze00:40
4.138 Quiz
4.139 Thank You00:06
Section 05 – Improve01:57:16
5.1 Welcome00:07
5.2 Section V Improve00:30
5.3 Agenda00:35
5.4 Section V Lesson 100:13
5.5 Agenda00:46
5.6 Pre Improve Considerations01:01
5.7 Model Adequacy Checking00:56
5.8 Model Adequacy Checking(Contd.)01:18
5.9 Model Adequacy Checking(Contd.)00:52
5.10 Multi Vari Charts01:00
5.11 7M Tools02:11
5.12 Activity Network Diagram01:19
5.13 Point and Interval Estimation01:07
5.14 Porter s Five Forces00:55
5.15 Porter s Five Forces (Contd.)01:43
5.16 Pugh Analysis01:20
5.17 Lean 5S01:46
5.18 Summary00:29
5.19 Section V Lesson 2 Design of Experiments Theory00:10
5.20 Agenda00:27
5.21 Introduction to DOE01:08
5.22 Introduction to DOE(Contd.)00:56
5.23 Introduction to DOE(Contd.)00:47
5.24 Introduction to DOE(Contd.)01:32
5.25 Introduction to DOE(Contd.)00:52
5.26 Introduction to DOE(Contd.)01:15
5.27 Types of Designed Experiments01:18
5.28 Main and Interaction Effects00:59
5.29 Main and Interaction Effects(Contd.)00:39
5.30 Main and Interaction Effects(Contd.)00:51
5.31 Main and Interaction Effects(Contd.)01:07
5.32 Replication00:50
5.33 Randomization01:00
5.34 Blocking01:04
5.35 Confounding00:31
5.36 Coding and other DOE Terms01:23
5.37 Sum of Squares Analysis00:49
5.38 Sum of Squares Analysis(Contd.)00:44
5.39 Sum of Squares Analysis(Contd.)01:31
5.40 Sum of Squares Analysis(Contd.)01:11
5.41 Sum of Squares Analysis(Contd.)01:19
5.42 Sum of Squares Analysis(Contd.)00:31
5.43 Sum of Squares Analysis(Contd.)00:17
5.44 Summary00:44
5.45 Section V Lesson 3 Design of Experiments Practice00:32
5.46 Agenda00:47
5.47 Introduction to 2 Factor Factorial Design00:51
5.48 Introduction to 2 Factor Factorial Design(Contd.)00:54
5.49 Introduction to 2 Factor Factorial Design(Contd.)00:38
5.50 2&sup2 Design00:52
5.51 2&sup2 Design(Contd.)00:34
5.52 2&sup2 Design(Contd.)01:15
5.53 2&sup2 Design(Contd.)00:36
5.54 2&sup2 Design(Contd.)00:49
5.55 2&sup2 Design(Contd.)00:53
5.56 2&sup2 Design(Contd.)00:37
5.57 2&sup2 Design(Contd.)00:33
5.58 2&sup2 Design(Contd.)00:42
5.59 2&sup2 Design(Contd.)00:41
5.60 2&sup2 Design(Contd.)00:25
5.61 2&sup2 Design(Contd.)00:32
5.62 2&sup2 Design(Contd.)00:19
5.63 2&sup2 Design(Contd.)01:02
5.64 2&sup2 Design(Contd.)01:16
5.65 2&sup2 Design(Contd.)00:22
5.66 2&sup2 Design Summary00:40
5.67 General 2k Design01:13
5.68 General 2k Design(Contd.)00:26
5.69 General 2k Design(Contd.)01:01
5.70 General 2k Design(Contd.)00:41
5.71 General 2k Design(Contd.)00:29
5.72 General 2k Design(Contd.)00:22
5.73 General 2k Design(Contd.)00:20
5.74 General 2k Design(Contd.)00:15
5.75 General 2k Design(Contd.)01:01
5.76 General 2k Design(Contd.)00:50
5.77 Single Replicate of 2k Design01:29
5.78 Half Fractional 2k-1 Design01:24
5.79 Half Fractional 2k-1 Design(Contd.)00:50
5.80 Half Fractional 2k-1 Design(Contd.)00:39
5.81 Half Fractional 2k-1 Design(Contd.)00:25
5.82 Half Fractional 2k-1 Design(Contd.)00:13
5.83 Half Fractional 2k-1 Design(Contd.)01:11
5.84 Half Fractional 2k-1 Design(Contd.)01:08
5.85 Quarter Fractional 2k-2 Design01:09
5.86 Quarter Fractional 2k-2 Design(Contd.)00:39
5.87 Quarter Fractional 2k-2 Design(Contd.)01:07
5.88 Quarter Fractional 2k-2 Design(Contd.)01:49
5.89 3k Factorial Design01:06
5.90 3k Factorial Design (Contd.)00:47
5.91 Response Surface Designs00:50
5.92 Response Surface Designs(Contd.)00:46
5.93 Response Surface Designs(Contd.)00:13
5.94 Response Surface Designs(Contd.)00:11
5.95 Response Surface Designs(Contd.)00:27
5.96 Response Surface Designs(Contd.)00:30
5.97 Response Surface Designs(Contd.)00:12
5.98 Response Surface Designs(Contd.)00:23
5.99 Response Surface Designs(Contd.)01:09
5.100 Nested Designs00:45
5.101 Split Plot Designs Introduction01:03
5.102 Taguchi’s Designs00:51
5.103 Taguchi’s Designs (Contd.)00:49
5.104 Taguchi’s L4 Design00:54
5.105 Taguchi’s L4 Design Graphs00:14
5.106 Taguchi’s L8 Design00:33
5.107 Taguchi’s L8 Design(Contd.)00:23
5.108 Taguchi’s L8 Design(Contd.)00:11
5.109 Taguchi’s L8 Design(Contd.)00:40
5.110 Plackett Burman’s Design01:27
5.111 Plackett Burman’s Designs(Contd.)00:38
5.112 Quality Function Deployment(House of Quality)01:02
5.113 Summary00:37
5.114 Section V Lesson 4 Brainstorming Solutions Prioritization and Cost Benefit Analysis00:12
5.115 Agenda00:19
5.116 Brainstorming01:01
5.117 Multi Voting01:22
5.118 Brainstorming Prioritization and Cost Benefit Analysis01:13
5.119 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)01:18
5.120 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)00:27
5.121 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)00:54
5.122 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)01:11
5.123 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)01:18
5.124 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)00:52
5.125 Poka Yoke01:26
5.126 Summary00:29
5.127 Section V Lesson 5 Piloting Validating and FMEA00:21
5.128 Agenda00:27
5.129 Pilot Solutions01:14
5.130 Piloting Tools00:42
5.131 Piloting Tools (Contd.)00:18
5.132 Paired t Test00:50
5.133 Paired t Test(Contd.)00:38
5.134 Paired t Test Interpretations00:36
5.135 Paired t Test(Contd.)00:15
5.136 Paired t Test(Contd.)00:55
5.137 Improve Next Steps01:00
5.138 Failure Mode Effects Analysis01:04
5.139 Failure Mode Effects Analysis(Contd.)00:21
5.140 Failure Mode Effects Analysis(Contd.)00:28
5.141 Failure Mode Effects Analysis(Contd.)01:03
5.142 Failure Mode Effects Analysis(Contd.)00:14
5.143 Summary00:20
5.144 Improve Activity Summary01:09
5.145 Quiz
5.146 Thank You00:04
Section 06 – Control45:53
6.1 Welcome00:07
6.2 Section VI Control00:37
6.3 Agenda00:25
6.4 SectionVI Lesson 1 Pre Control Considerations00:11
6.5 Agenda00:13
6.6 Pre Control Considerations00:58
6.7 Assessing the Results of Process Improvement01:17
6.8 Rational Subgrouping00:42
6.9 Summary00:13
6.10 Section VI Lesson 2 Variables and Attributes Control Charts00:25
6.11 Agenda00:18
6.12 Concepts of Variables Control Charts01:46
6.13 Concepts of Variables Control Charts(Contd.)01:36
6.14 Concepts of Variables Control Charts (Contd.)00:52
6.15 Concepts of Variables Control Charts (Contd.)01:02
6.16 Concepts of Variables Control Charts (Contd.)01:12
6.17 Variables Control Charts00:43
6.18 Variables Control Charts(Contd.)00:41
6.19 Variables Control Charts(Contd.)00:32
6.20 Variables Control Charts (Contd.)01:00
6.21 Variables Control Charts (Contd.)00:37
6.22 Variables Control Charts(Contd.)00:28
6.23 Variables Control Charts(Contd.)00:31
6.24 Variables Control Charts(Contd.)00:58
6.25 Variables Control Charts(Contd.)00:38
6.26 Variables Control Charts(Contd.)00:35
6.27 Variables Control Charts(Contd.)00:41
6.28 Variables Control Charts(Contd.)00:58
6.29 Variables Control Charts(Contd.)00:46
6.30 Variables Control Charts(Contd.)01:15
6.31 Variables Control Charts (Contd.)01:06
6.32 EWMA Charts01:12
6.33 EWMA Charts(Contd.)00:30
6.34 Cusum Charts00:20
6.35 Attribute Control Charts01:28
6.36 Attribute Control Charts(Contd.)01:08
6.37 Attribute Control Charts(Contd.)00:48
6.38 Attribute Control Charts (Contd.)00:31
6.39 Attribute Control Charts(Contd.)00:40
6.40 Attribute Control Charts(Contd.)00:38
6.41 Attribute Control Charts(Contd.)00:37
6.42 Summary00:23
6.43 VI Lesson 3 Measurement System Analysis Control Plan and Project Closure00:12
6.44 Agenda00:16
6.45 Measurement System Analysis00:53
6.46 Control Plan00:29
6.47 Control Plan(Contd.)01:09
6.48 Control Plan(Contd.)00:44
6.49 Control Plan(Contd.)01:12
6.50 Project Closure00:45
6.51 Summary00:33
6.52 Section VI Lesson 4 Introduction to Total Productive Maintenance00:08
6.53 Agenda00:38
6.54 Total Productive Maintenance(TPM)00:33
6.55 Total Productive Maintenance(TPM)(Contd.)00:53
6.56 Total Productive Maintenance(TPM)(Contd.)00:55
6.57 Total Productive Maintenance(TPM)(Contd.)00:55
6.58 Total Productive Maintenance(TPM)(Contd.)01:31
6.59 Total Productive Maintenance(TPM)(Contd.)00:44
6.60 Total Productive Maintenance(TPM)(Contd.)00:52
6.61 Summary00:42
6.62 Tools to Refer00:08
6.63 Quiz
6.64 Thank You00:03

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Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.
Do employers accept online degrees?
All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.
Is online education more conducive to cheating?
The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.
How do I know if online education is right for me?
Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
What technical skills do online students need?
Our platform typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.
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