Six Sigma Green Belt Training



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.

Six Sigma is the most sought after business excellence strategies among the leading and progressive MNCs. Demand for greenbelt professionals is tremendous in global market.

This course is all about Six Sigma Green Belt. Key learning Objectives are to make you: understand, apply, analyze, evaluate, and create various Six Sigma DMAIC tools and techniques appropriately. DMAIC stands for Define, Measure, Analyze, Improve and Control. The complete course is structured based on American Society of Quality’s (ASQ) Body of knowledge for Six Sigma Green Belt.

Course materials include: Video lectures, PDF files of lectures that can be downloaded, Minitab exercise files that can be downloaded for practice, practice quizzes as per the ASQ- BOK question pattern. 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 15 to 20 days. The breakup of total course duration: video lectures are around 9 hours, reading, attending quizzes, practicing examples etc., take around 10 to 12 hours.

This course is structured in 7 sections. Section 1 provides the introduction to Six Sigma, sections 2 to 6 provide the complete coverage of ASQ BOK for green belt. Section 7 consist the concluding thoughts.

This course has been designed to provide the benefits to four categories of aspirants: for a Job seeking aspirant it helps in learning Six Sigma concepts and becoming certified Green Belt Professional. Process Mangers and Entrepreneurs will be benefitted by applying Six Sigma concepts to increase the process efficiency and effectiveness. A quality professional can align six sigma concepts with other contemporary quality strategies.

OTIFAS voluntarily follows the guidelines of ISO 17024, in order to benchmark our certification process at par with global standards.The certification process has also been accredited by the International Accreditation Organization (IAO), USA.

Who is the target audience?
  • Business managers, entrepreneurs, quality consultants, doctors, research scholars, engineering and management students.

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

What Will I Learn?
  • 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 certified Six Sigma Green Belt Professional and help industries to reduce operations cost and achieve high levels of customer satisfaction and loyalty.
  • In this course, you will learn Six Sigma DMAIC methodology, Minitab statistical software, Lean Management concepts and Theory of Constraints (TOC) concepts.

Curriculum For This Course Expand All Collapse All 44 Lectures 08:51:05 + – Course Summary 1 Lecture 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.

Course Summary Preview 13:48 + – Overview: Six Sigma and the Organization 7 Lectures 01:08:15

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.

Value of Six Sigma 1 Preview 11:25

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

Value of Six Sigma 2 07:32

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.

Organization Drivers and Metrics 07:30

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.

Organizational Goals and Six Sigma Projects 10:21

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

Lean Concepts and Tools 12:38

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

Value Added and Non Value Added Activities and Theory of Constraints 08:54

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.

Design for Six Sigma in the Organization 09:55 Overview : Six Sigma and the organization 15 questions + – Six Sigma- Define 11 Lectures 01:59:22

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.

Process Management for Project 1 10:46

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

Process Management for Project 2 10:18

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

Project Management Basics 1 10:00

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

Project Management Basics 2 13:08

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.

Management and Planning Tools 15:17

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

Process Performance 1 07:29

Objectives of this lecture: to calculate process performance matrices, such as Roll Throughput Yield (RTY), Cost of Poor Quality (COPQ) etc.

Process Performance 2 11:55

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

Failure Mode and Effect Analysis (FMEA) 09:56

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.

Team stage and Dynamics 1 09:49

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

Team Dynamics and Performance 2 10:46

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

Introduction to Minitab 09:58

Which of the following measures is increased when process performance is improved?

Six Sigma- Define 25 questions + – Six Sigma-Measure 17 Lectures 03:41:50

Objectives of this lecture: to learn about developing and reviewing the different process modelling tools such as flow charts, written procedures, work instructions etc.

Process Modeling 13:02

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

Process input and outputs 13:30

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

Drawing valid statistical conclusions 11:22

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

Central Limit Theorem and Sampling Distribution 10:34

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

Basic Probability Concepts 13:30

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.

Collecting data 11:44

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.

Descriptive Statistics 11:40

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.

Graphical Methods (Stem Leaf/ Run Chart/ Box Plot) 16:26

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

Graphical Methods (Scatter plot) 06:07

Objectives of this lecture: to learn to depict the relationships by construct/apply/interpret Pareto charts.

Graphical Methods (Pareto Chart) 09:23

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

Graphical Methods (Histogram) 08:32

Objectives of this lecture: to learn to describe and interpret the probability distributions such as Bi-nominal and Poisson.

Discrete Probability Distributions 13:22

Objectives of this lecture: to learn to describe and interpret the probability distributions such as normal, chi-square, students 't' and F distributions.

Continuous Probability Distributions 21:01

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.

Measurement System Analysis 15:44

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.

Process Capability Studies 1 17:28

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

Process Capability studies 2 16:32

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.

Process Capability Studies 3 11:53 Six Sigma-Measure 30 questions + – Six Sigma-Analyze 4 Lectures 52:50

Objectives of this lecture: to learn to create and interpret multi vari studies to interpret the differnce between positional, cyclical and temporal variation. Understanding co-relation and regressionn.

Exploratory Data Analysis 15:01

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.

Hypothesis Testing 1 16:44

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

Hypothesis Testing 2 11:06

Objectives of this lecture: to learn to define one way ANOVA, Chi-square test and interpreting the result.

Hypothesis Testing 3 09:59 Six Sigma-Analyze 15 questions + – Six Sigma- Improve and Control 3 Lectures 49:24

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.

Design of Experiments (DOE) 14:27

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.

Statistical Process Control 1 17:01

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.

Statistical Process Control 2 17:56 Six Sigma- Improve and Control 15 questions + – Course Conclusion 1 Lecture 05:36

This is the concluding lecture to recapitulate the course objectives, discuss about application, further learning and certification process.

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