Body of Knowledge - Certified Six Sigma Green Belt

7/29/2019 Body of Knowledge - Certified Six Sigma Green Belt

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CERTIFIEDSIX SIGMA GREEN BELT

imv academy

The qualified six sigma green belt is specialized personwho can guide in regards to six sigma benefits, conceptswhich includes support system and gears. A green beltshould be able to reveal leadership among team members,identify dynamics of the team and hand over differentroles to appropriate member. Green belts have acomprehensive understanding of all the phases of DMAICmodels in agreement with the values. They also havecentral knowledge of the Lean enterprise theories and arecapable to spot the elements and doings by usingparticular gears.

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Business excellence to boost your career andimprove your organizations bottom line.


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Eligibility Criteria

Candidate should be at least agraduate in any of the streams

Candidate should have workingexperience of at least 2 years

Who should do this course

This program is created for meeting theneeds of the below candidates :

This course is helpful to mangers whoare into assurance of quality, projectadministrators, group leaders, softwareexperts, people who are into qualitya s s u r a n c e o f s o f t w a r e , m i dmanagement, team who wants to getinto practice of six sigma, person whowants to get certificate of green belt inthis course, all the candidates who areexpecting to get position of manager innear future inclusive of students andqualified members who are doinginvestigation, or practicing in theprocess of development.

Benifits of Six Sigma

Six sigma green belts will offer thevaluable ability that is needed toundertake the hardest problems thatcan confront your company.Six sigma provides defined trackwhich will help in progressing thebusiness.With amazing understanding sixsigma green belt also helps inacquiring good knowledge aboutmethods linked with its approach.Six sigma green belt furnishes withconsistency and teaches the way toidentify, compute and deduct all theexisting issues.

Fees :

First take : 80 USDNumber of attempts per test : 03

Re-take : 50 USDNumber of attempts per test : 03

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Overview: Six Sigma and the Organization

Six sigma and organizational goals

Value of six sigma, Organizational drivers and metrics, Organizational goals andsix sigma projects

Lean principles in the organization

Lean concepts and tools, Value-added and non-value-added activities, Theory ofconstraints

Design for Six Sigma (DFSS) in the organization

Quality function deployment (QFD), Design and process failure mode and effectsanalysis (DFMEA & PFMEA), Road maps for DFSS

Team Management

Team formation, Team facilitation, Team dynamics, Time management forteams, Team decision-making tools, Management and planning tools, Teamperformance evaluation and reward.



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Define Phase

Process Management for Projects

Process elements, Owners and stakeholders, Identify customers, Collectcustomer data, Analyze customer data, Translate customer requirements,

Project Management basics

Project charter and problem statement, Project scope, Project metrics, Projectplanning tools, Project documentation, Project risk analysis, Project closure Management and planning tools

Define, select, and use 1) affinity diagrams, 2) interrelationship digraphs, 3) treediagrams, 4) prioritization matrices, 5) matrix diagrams, 6) process decisionprogram (PDPC) charts, and 7) activity network diagrams.

Business results for projects

Process performance, Failure mode and effects analysis (FMEA),

Team dynamics and performance

Team stages and dynamics, Six sigma and other team roles and responsibilities,Team tools, Communication



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Measure Phase

Process analysis and documentation

Process modeling : Develop and review process maps, written procedures,work instructions, flowcharts, etc. Identify process input variables andprocess output variables and document their relationships.

Process capability and performance

Process capability studies, Process performance vs. specification, Processcapability indices, Process performance indices, Short-term vs. long-termcapability

Collecting and summarizing data

Types of data and measurement scales : Identify and classify continuous(variables) and discrete (attributes) data. Describe and define nominal,ordinal, interval, and ratio measurement scales. Define and apply methods for

collecting data such as check sheets, coded data, etc.

Techniques for assuring data accuracy and integrity : Define and applytechniques such as random sampling, stratified sampling, samplehomogeneity, etc.

Descriptive statistics : Define, compute, and interpret measures of dispersionand central tendency, and construct and interpret frequency distributions and

cumulative frequency distributions.

Graphical methods : Depict relationships and distributions by constructing,applying and interpreting diagrams and charts.

Measurement system analysis : Calculate, analyze, and interpretmeasurement system capability using repeatability and reproducibility(GR&R), measurement correlation, bias, linearity, percent agreement, and

precision/tolerance (P/T).



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Analyze Phase

Exploratory data analysis

Multi-vari studies : Create and interpret multi-vari studies to interpret thedifference between positional, cyclical, and temporal variation; applysampling plans to investigate the largest sources of variation.

Simple linear correlation and regression : Interpret the correlation coefficientand determine its statistical significance (p-value); recognize the differencebetween correlation and causation. Interpret the linear regression equationand determine its statistical significance (p-value). Use regression models forestimation and prediction.

Hypothesis testing

Basics : Define and distinguish between statistical and practical significanceand apply tests for significance level, power, type I and type II errors.Determine appropriate sample size for various test.

Tests for means, variances, and proportions : Define, compare, and contraststatistical and practical significance.

Paired-comparison tests : Define and describe paired-comparison parametrichypothesis tests.

Single-factor analysis of variance (ANOVA) : Define terms related to one-wayANOVAs and interpret their results and data plots.

Chi square : Define and interpret chi square and use it to determine statisticalsignificance.



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Improve & Control Phase

Design of Experiments (DOE)

Basic terms : Define and describe basic DOE terms such as independent anddependent variables, factors and levels, response, treatment, error, repetition,and replication.

Main effects : Interpret main effects and interaction plots.

Statistical process control (SPC)

Objectives and benefits : Describe the objectives and benefits of SPC, includingcontrolling process performance, identifying special and common causes, etc.

Rational subgrouping : Define and describe how rational subgrouping is used.

Selection and application of control charts : Identify, select, construct, and applythe following types of control charts: XR, Xs, individuals and moving range(ImR / XmR), median (x), p, np, c, and u.

Analysis of control charts : Interpret control charts and distinguish betweencommon and special causes using rules for determining statistical control.

Implement and validate solutions

Use various improvement methods such as brainstorming, main effectsanalysis, multi-vari studies, FMEA, measurement system capability re-analysis,and post-improvement capability analysis to identify, implement, and validatesolutions through F-test, t-test, etc

Control Plan

Assist in developing a control plan to document and hold the gains, and assist in

implementing controls and monitoring systems


Documents

Body of Knowledge - Certified Six Sigma Green Belt