Six Sigma Green and Black Belt Combo
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OTIFAS  stands for the acronym ‘Operational Excellence Training Institute for Aspirants’
A team of professionals, mustered with a mission: to spread the contemporary operational excellence strategies, among the aspirant individuals and industries. Over a decade, it has been helping more than thousands of aspirants to excel their career through application focused learning.
This course is aimed for 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 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 an 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.
OTIFAS voluntarily follows the guidelines of ISO 17024, in order to benchmark our certification process at par with global standards.
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Section 1: Course Summary  

Lecture 1  13:48  
Objective of this lecture: to provide you with information regarding what the course is all about, the learning methods, instructor support, and to provide an overview of Six Sigma, before proceeding to the actual course videos. 

Section 2: Overview: Six Sigma and the Organization  
Lecture 2  11:25  
This lecture is aimed to provide an understanding on: why organizations use Six Sigma, how they apply its philosophy and goals, and the origins of Six Sigma. 

Lecture 3  07:32  
Objectives of this lecture are: to enable the learner to describe how process inputs, outputs, and feedback impact the larger organization. 

Lecture 4  07:30  
This lecture is aimed to provide the understanding of project selection process, knowing when to use Six Sigma improvement methodology (DMAIC) and linking the project goals with organization goals. 

Lecture 5  10:21  
To describe about the project selection process including knowing when to use six sigma improvement methodology (DMAIC) as well as to know how project goals are linked with organization goals. 

Lecture 6  12:38  
Aim of this lecture is to define and describe the various Lean concepts and tools such as; value chain, flow, pull, perfection etc. 

Lecture 7  08:54  
Objectives of this lecture is to identify 8 types of lean wastes, improve throughput and describing the Theory of Constraints (TOC). 

Lecture 8  09:55  
Objectives of this lecture are to describe how QFD fits into overall DFSS process, define and distinguish between Design FMEA and Process FMEA, describe and distinguish between DMADV and IDOV. 

Quiz 1 
Overview: Six Sigma and the Organization

14 questions  
Section 3: Six Sigma Define  
Lecture 9  10:46  
Objectives of this lecture are to define and describe various process components and boundaries, cross functional areas and challenges that result for process improvement efforts. 

Lecture 10  10:18  
Objectives of this course: To translate customer feedback into CTQs and project goals, use QFD to translate customer requirements to performance measures. 

Lecture 11  10:00  
Objectives of course: to define and describe the elements of project charter, developing problem and mission statements. 

Lecture 12  13:08  
Objectives of this lecture: to define project scope, learn various tools of project planning, project documentation, analyzing project risks and closing of projects. 

Lecture 13  15:17  
Objectives of this lecture: to define select and use management and planning tools such as affinity diagram, interrelationship diagram, tree diagram, prioritization matrix, PDPC, and activity network chart. 

Lecture 14  07:29  
Objectives of this lecture: calculate process performance metrics such as Defects Per Unit, DPMO, sigma levels and process capability indices. 

Lecture 15  11:55  
Objective of this lecture is to impart knowledge about calculating process performance metrics i.e Rolled throughput yield and Cost of poor quality. 

Lecture 16  09:56  
Objectives of this lecture: define and describe FMEA, describing the purpose and use of scale criteria and calculating the Risk Priority Number (RPN). 

Lecture 17  09:49  
Objectives of this lecture: to learn to define and describe the stages of team evolution such as storming, norming, performing, and defining the six sigma roles and responsibilities. 

Lecture 18  10:46  
Objectives of this lecture: to define and apply the team tools such as brainstorming, nominal group technique, multi voting etc. 

Lecture 19  09:58  
Objectives of this lecture: to introduce the Minitab statistical software, understand the improtant menus of interest for a six sigma professional. 

Quiz 2 
Six Sigma Define

25 questions  
Section 4: Six Sigma Measure  
Lecture 20  13:02  
Objectives of this lecture: to learn about developing and reviewing the different process modelling tools such as flow charts, written procedures, work instructions etc. 

Lecture 21  13:30  
Objectives of this lecture: to learn to identify key process input/output variables, SIPOC chart and Cause and Effect diagram etc. 

Lecture 22  11:22  
Objectives of this lecture: is to learn to distinguish between the descriptive and inferential statistics, distinguish between population parameter and sample statistic. 

Lecture 23  10:34  
Objectives of this lecture: to learn to define central limit theorem and sampling distribution of means. 

Lecture 24  13:30  
Objectives of this lecture: to learn to describe and apply the basic probability concepts such as independence, mutually exclusive, multiplication rules etc. 

Lecture 25  11:44  
Objectives of this lecture: to identify and classify continuous data and discrete data, measurement scales such as ratio, interval, nominal and ordinal scales and data collection methods. 

Lecture 26  11:40  
Objectives of this lecture: to learn to define, compute and interpret measures of dispersion and central tendency, construct and interpret frequency distribution and cumulative frequency distributions etc 

Lecture 27  16:26  
Objectives of this lecture: to learn to depict relationship by construct/apply/interpret diagrams such as Stem and Leaf plots, Box and Whisker plots, Run charts etc. 

Lecture 28  06:07  
Objectives of this lecture: to learn to depict relationships by construct/apply/interpret scatter diagrams. 

Lecture 29  09:23  
Objective of this lecture is to depict Pareto chart. 

Lecture 30  08:32  
Objectives of this lecture: to learn to depict relationships by construct/apply/interpret histograms. 

Lecture 31  13:22  
Objectives of this lecture: to learn to describe and interpret the probability distributions such as Binominal and Poisson. 

Lecture 32  21:01  
Objectives of this lecture: to learn to describe and interpret the probability distributions such as normal, chisquare, students 't' and F distributions. 

Lecture 33  15:44  
Objectives of this lecture: to learn to calculate, analyze and interpret measurement system capability such as repeatability and reproducibility, measurement correlation measurement bias, linearity, percent agreement etc. 

Lecture 34  17:28  
Objectives of this lecture: to learn to identify describe and apply the process capability studies, identify characteristics, specifications, tolerances, distinguish between natural process limits and specification limits and calculating process performance metrics. 

Lecture 35  16:32  
Objectives of this lecture: to learn to define, select and calculate process capability indices such as Cp, Cpk, as well assessing process capability. 

Lecture 36  11:53  
Objectives of this lecture: to learn to define, select and calculate process performance measures such as Pp, Ppk, describe long and short term capability and understand the concepts of 1.5 sigma shift in long term. 

Quiz 3 
Six SigmaMeasure

30 questions  
Section 5: Six Sigma Analyze  
Lecture 37  15:01  
Objectives of this lecture: to learn to create and interpret multi vari studies to interpret the differnce between positional, cyclical and temporal variation. Understanding corelation and regression. 

Lecture 38  16:44  
Objectives of this lecture: to learn about the basics of hypothesis testing such as significance level, type 1 and type 2 errors. Determining the appropriate sample size and distinguish between statistical and practical significance. 

Lecture 39  11:06  
Objectives of this lecture: to learn to define and describe test for means, variances and proportions and paired comparison tests. 

Lecture 40  09:59  
Objectives of this lecture: to learn to define one way ANOVA, Chisquare test and interpreting the result. 

Quiz 4 
Six Sigma Analyze

15 questions  
Section 6: Six Sigma Improve and Control  
Lecture 41  14:27  
Objectives of this lecture: to learn to define and describe basic Design of Experiment (DOE) terms and to interpret the main effects and interaction plots 

Lecture 42  17:01  
Objectives of this lecture: to describe the objectives and benefits of statistical process controls (SPC), controlling process performance, identifying special and common causes, selection of appropriate control charts. 

Lecture 43  17:56  
Objectives of this lecture: to learn to construct X bar charts in Minitab and to construct attribute control charts such as 'p' 'np' 'c' and 'u' charts etc. 

Quiz 5 
Six Sigma Improve and Control

15 questions  
Section 7: Six Sigma Green Belt Course Conclusion  
Lecture 44  05:36  
This is the concluding lecture to recapitulate the course objectives, discuss about application, further learning and certification process. 

Section 8: Six Sigma Black Belt Course Introduction  
Lecture 45 
Introduction

01:36  
Lecture 46 
Define and Measure Phases

20 pages  
Section 9: Analyze Phase  
Lecture 47 
Multivariate Tools

05:40  
Lecture 48 
Principal Component Analysis

05:36  
Lecture 49 
Factor Analysis

03:35  
Lecture 50 
Discriminate Analysis

06:34  
Lecture 51 
MANOVA

04:48  
Lecture 52 
Attribute Data Analysis

10:14  
Lecture 53 
Hypothesis Testing

08:34  
Lecture 54 
Selection of Appropriate Hypothesis Test

07:24  
Lecture 55 
Non Parametric Test 1

04:42  
Lecture 56 
Non Parametric Test 2

04:51  
Section 10: Improve and Control Phases  
Lecture 57 
Introduction to Design of Experiments

10:48  
Lecture 58 
Main and Interaction Plots

09:46  
Lecture 59 
Fractional Factorial Design

07:04  
Lecture 60 
Planning for DOE

05:22  
Lecture 61 
Analyzing DOE

03:14  
Section 11: Conclusion  
Lecture 62 
Conclusion

01:23 
OTIFAS  acronym for Operational Excellence Training Institute is a leading personnel training and certification company, engaged in personal certification, industrial consultancy, product and process certifications. Consultants and faculties of OTIFAS have not less than 2 decades of experience in leading MNCs with distinctive blend Professionals from:
Indian Army/Air Force/MNC/IIT backgrounds
Decades of consultancy and corporate training experience.
Members of American Society of Quality (ASQ)
Why Us?
Training and certification programs by OTIFAS is purely application focused. The concepts of courses are made thorough to students through case studies, quizzes and exercises during the lecture sessions. We offer endless faculty support for live projects even after the training. Follows the guidelines of ISO 17024:2003 the general requirements for personnel certification bodies, in order to bench mark our certification process with international standards. Over and above our certification process has been accredited by International Accreditation Organization (IAO), USA.
Area of Expertise:
Training & Certification of Lean Six Sigma Methodologies i.e Basics of six sigma, Six Sigma Green Belt ,Six Sigma Black Belt based on American Society for Quality (ASQ) body of knowledge.
Training in Operational Research (OR) methodologies like linear programming, transportation model to optimize human as well as other scarce resources towards efficient utilization.
Training to analyze the verbal customer data, voice of customers (VOC) using Quality Function Deployment (QFD), Kano Model and other statistical tools like FACTOR analysis, Chi Square, CHAID methodologies for developing numeric specifications for process parameters and output quality measures.
Training of Statistical and basic Quality control and Improvement tools i.e. ISO 2859, 3952, Cause and Effect ,Pareto analysis, Histogram, check sheet, Scatter diagram and stratification.
Training of Problem Solving Methodologies i.e PDCA Plan, Do, Check & Act, Juran methodology, DMAIC approach.
Training of Lean concepts i.e. 5S, ANDON, KAIZEN, KANBAN, HEIJUNKA, JIDOKA, SMED, POKA YOKE, VSM, 3Ms, 8 Lean wastages identification and elimination.