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Six Sigma Green Belt Program

Course Content
 
 

ISL is one of the premier providers of Six Sigma Green Belt certification courses. At ISL Six Sigma Green Belt certification programs teach the six sigma problems solving methodology (DMAIC), and the statistical tools. In our Six Sigma Green Belt Certification programs the focus is on mastering the application skills rather than on the theoretical understanding. The Six Sigma Green Belt certification program makes extensive use of MS-Excel for data analysis. At the end of the Six Sigma Green Belt certification program the ISL-certified Green Belts can lead six sigma projects as well as effectively support Black Belts in breakthrough projects.

Even though doing real-life project is not a requirement for certification, in the ISL Six Sigma Green Belt certification programs the Green Belts are encouraged to do projects during the training duration and take advantage of the e-mentoring. The projects should be an on-going activity where the application skills are sharpened through implementation. Skilled Green Belts can bring significant bottom-line results to the company and also grow professionally faster.

Green Belts can make significant improvements in any functional areas by combining their functional experience and six sigma skills. Thus Green Belts will grow in their functional areas.

Further, the Six Sigma Green Belt certification training is a stepping stone for the more challenging role of Black Belts. Those who wish to make six sigma a career are advised to go for the Six Sigma Black Belt program six months after clearing the Six Sigma Green Belt certification program.

Fee Structure for Green Belt Course:

Indian Students: Rs. 13, 500 (INR)
Outside India Students: Rs. 16, 500 (INR)


COURSE CONTENT

Six Sigma Green Belt Certification MODULE 1

  • Six Sigma Concepts and Philosophy
  • Six Sigma Deployment
  • Metrics: DPU,DPMO, RTY
  • Champion, Black Belt and Green Belts
  • Selecting Projects

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Six Sigma Green Belt Certification MODULE 2

  • Define Stage: Creating Project Charter, Identifying Customers & Their Needs and Requirements, Creating SIPOC
  • Measure Stage: Identifying CTQs, Selecting Sampling Strategy and Collect the data, Establish the Baseline Performance
  • Basic Statistics: Concept of Variation, Data Types; Normal, Exponential, Binomial, Poisson distributions, Measures of central tendency - Mean, Median, Mode, Measures of Dispersion - Range, Standard deviation, Variance, Central Limit Theorem
  • Visualization Techniques: Process Mapping, Quality Function Deployment (QFD)
  • Measurement System Analysis: Types of errors in Measurement System, R&R for Variable measurement, R&R for Visual Inspection

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Six Sigma Green Belt Certification MODULE 3

  • Analysis Stage : Sources of variation, Identifying root cause and Validation
  • Data Analysis: common and special causes of variation, Control charts, Xbar and Range Chart, Individual and Moving Range Chart, Histogram, p-chart, c-chart, Pareto analysis, Pre-control charts
  • Process Capability: Cp, Cpk, Pp, Ppk
  • Cause Analysis: Cause and Effect diagram, Why-Why analysis.
  • Diagnostic Techniques: Multi-Vari chart, Paired comparison

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Sic Sigma Green Belt Certification MODULE 4
  • Improving Stage: Generating Potential Solutions, Select the Best One, Developing Mistake-Proof Measures, Process Optimization, Validating the Results
  • Advanced Statistics: Sampling distribution, Estimation, Hypothesis Testing, ANOVA, Correlation and Regression
  • Design of Experiments (DoE): Fractional Factorial designs, Full Factorial designs.

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Six Sigma Green Belt Certification MODULE 5
  • Control Stage: Defining the Process Control System, Modifying the Documentation System, Conducting Training, Institute the Process Audit System, Quantifying the Gains
  • Control Plans
  • Failure Modes and Effects Analysis (FMEA).
  • Team Working

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    Six Sigma Green Belt Certification MODULE 6 (IQF Bok –Basic Topics)
  • Distributions
  • Statistical Inference & ANOVA
  • Measurement Assurance
  • SPC
  • Process Capability
  • One-Way ANOVA

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