Mô tả

Doing a six sigma green and black belt together will save you a lot of your professional time.  The basic structure of the six sigma green and black belt is the same as DMAIC (Define, Measure, Analyse, Improve, and Control).  What makes a black belt different from a green belt is:


-  A black belt is a change agent, he identifies an improvement opportunity.

-  Black belt knows how to define it and lead a team towards the project completion.

-  Black belt knows advanced statistical tools and uses them appropriately in the entire cycle of DMAIC.


This course is aimed at those who wish to take six sigma Green and Black belt combined and wish to enhance their analyzing skills in advanced six sigma tools. A Six Sigma black belt manager heads cumbersome projects and acts as coach/mentor and statistical analyst as well during project realization, this course provides the required knowledge and skills that are sought by a black belt aspirant. 

Key learning objectives are to make you: understand, apply, analyze, evaluate, and create techniques as prescribed by the six sigma body of knowledge; learning materials include video lectures, PDF files of lectures that can be downloaded, Minitab exercise files that can be downloaded for practice, practice quizzes. The course contents are prepared by scholars, with more than 30 years of academic and industrial experience at leading MNCs. On average, if a working adult devotes one hour per day, he or she would be able to complete this course within 10 to 15 days. 

     

Bạn sẽ học được gì

By the end of this course, you will understand and apply the concepts of Six Sigma strategy to achieve high accuracy and precision in critical processes.

Become a Six Sigma manager and help industries to reduce operations cost and achieve high levels of customer satisfaction and loyalty

Yêu cầu

  • No mandatory requirements as such for undergoing this course, however basic understanding of statistics would help learners to grab the subject thoroughly.

Nội dung khoá học

7 sections

Introduction

12 lectures
Introduction
04:56
Value six sigm brings to you
04:27
Levels of six sigma skills
04:59
Six sigma a historical perspective
07:20
Concept of variation 1
05:00
Concept of variation 2
06:00
Contributions of eminent quality engineers
06:03
Contributions of eminent quality engineers 2
04:12
Contributions of eminent quality engineers
3 questions
8 lean wastes
06:52
Understanding the process
05:37
Understanding the process
2 questions

Organization-Wide Planning and Deployment

11 lectures
Strategic planning and deployment for initiatives
07:15
Portfolio analysis
02:55
Hoshin kanri
02:34
SWOT analysis
03:17
PEST analysis
04:51
Relationships among business systems and processes
05:37
Benchmarking
04:38
Business performance measures
06:47
Financial measures 1
04:00
Financial measures 2
03:21
Team stages of development
04:49

Six Sigma- Define

26 lectures
Process Management for Project
06:20
Strategic planning and deployment for initiatives
3 questions
Process owners and stakeholders
03:57
Identify customer requriements
06:04
Determine the CTQs
04:28
Quality Function Deployment (QFD)
09:13
Project Identification 1
04:16
Project Identification 2
05:07
Project charter
04:26
Team stages of development
3 questions
Define phase steps
25:04
Problem statement
05:46
Problem statement (recording of live session)
23:04
Problem statement in detail (google drive link recording of live sessions)
00:18
Project scope
01:45
Project documentation
03:09
Process Management for Project
3 questions
Project identification
4 questions
DPMO
06:16
Process yield
04:09
Cost of poor quality
03:33
Affinity diagram
02:15
Activity network diagram
01:34
Interrelationship diagram
02:10
Process decision program chart
02:05
Six Sigma- Define
10 questions

Six Sigma- Measure

49 lectures
Process Modeling
08:22
Process analysis 1
06:47
Process analysis 2
10:03
Sources of variation
06:15
Cause and effect diagram
04:57
What is statistics?
04:52
Basic statistics (Recording of live session)
15:34
Basic statistics (google drive link recording of live sessions)
00:16
Population and sample
05:43
Basic probability concepts 1
05:31
Basic probability concepts 2
09:30
Types of data and measurement scales
09:25
Sampling and data collection methods
05:07
Descriptive statistics 1
05:46
Descriptive statistics 2
05:39
Mean and standard deviation (recorded live session)
24:43
Mean and standard deviation (google drive link recording of live sessions)
00:17
Central limit theorem
09:48
Central Limit theorem in detail (recorded live)
31:26
Random data generator in Minitab (recording of my live sessions)
22:17
Central Limit Theorm explained (google drive link recording of live sessions)
00:17
Stem and leaf
02:21
Boxplots
07:05
Scatter diagram
08:01
Histogram
04:07
Graphical summary in Minitab (recorded live session)
23:23
Graphical summary in Minitab (google drive link recording of live sessions)
00:19
Pareto analysis
05:15
Pareto Analysis in Minitab (recorded live session)
08:03
Pareto analysis in Minitab (google drive link recording of live sessions)
00:15
Statistical distributions
06:17
Binomial probability distributions
05:42
Binomial probability distribution in Minitab (recorded live)
33:11
Binomial Distribution in initab (google drive link recording of live sessions)
00:13
Poisson distributions
03:50
Normal distributions
09:34
Normal distribution in Minitab (recorded live session)
35:05
Normal Distribution in Minitab (google drive link recording of live sessions)
00:13
Students t distribution
02:55
Measurement System Analysis (MSA)
16:12
MSA in Minitab (recording of live sessions)
35:57
MSA in Minitab (google drive link recording of live sessions)
00:14
Process capability
08:50
Process capability examples
05:48
Process capability indices
08:15
Process performance indices
07:21
Process capability in Minitab (recording of live session)
32:49
Process capability Minitab (google drive link recording of live sessions)
00:14
Six Sigma-Measure
19 questions

Six Sigma- Analyze

29 lectures
Introduction to analyse phase
05:56
Multivari studies
04:34
Correlation and linear regression
06:18
Corelation and regression in Minitab (recorded lecture)
25:02
Corrleation regression in Minitab (google drive link recording of live sessions)
00:01
FMEA
06:38
Fault Tree Analysis
04:47
Multi variate study
05:08
Principal component analysis
08:35
Factor analysis
04:56
Discriminant analysis
05:44
MANOVA
05:46
Hypothesis Testing
09:43
Hypothesis Testing steps
06:49
Types of hypothesis testing
07:24
Setting for hypothesis testing
07:11
Null hypothesis examples
07:43
Selection of hypothesis tests
04:59
Selection of hypothesis tests 2
04:38
Test of variance
05:00
ANOVA
08:03
ANOVA in minitab (recording of live session)
25:17
ANOVA in Minitab (google drive link recording of live sessions)
00:14
Chi-square test
02:43
Chi square test in Minitab (recording of live session)
28:48
Chi square test in Minitab (google drive link recording of live sessions)
00:14
Logistic regression
07:28
Kruskal wallis test
02:14
Six Sigma- Analyze
10 questions

Six Sigma- Improve and Control

13 lectures
DOE basics 1
04:38
DOE basics 2
04:48
DOE graphs and plots
04:36
Basic lean tools
09:17
Statistical process control 1
03:52
Statistical process control 2
08:27
Control chart for variables
10:55
Variable charts in Minitab
04:58
Control charts for attributes
05:22
Attribute charts in Minitab
04:50
Control chart analysis
02:45
Control plan
01:32
Six Sigma- Improve and Control
13 questions

OTIFAS certification process

1 lectures
Introduction to OTIFAS certification process
00:17

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