Home » Business Analysis Training » Six Sigma Green Belt CSSGB

ASQ Six Sigma Green Belt CSSGB

The Professional Certification in quality management support. processes and tools.

Course Contents:

Stage 1: Six Sigma and Lean in the Organisation

Stage 2: Design for Six Sigma in the Organisation

Stage 3: Processes and Customer Analysis in Six Sigma Projects

Stage 4: Basics of Six Sigma Projects and Teams

Stage 5: Tools for Planning and Managing Six Sigma Project Opportunities

Stage 6: Using Six Sigma Analysis Tools and Metrics for Project Decisions

Stage 7: Modeling and Analysing Processes in Six Sigma

Stage 8: Statistics and Probability in Six Sigma

Stage 9: Data Classification and Collection in Six Sigma

Stage 10: Summarising and Presenting Data in Six Sigma

Stage 11: Probability Distributions and Measurement Systems Analysis in Six Sigma

Stage 12: Measuring Process Capability and Performance in Six Sigma

Stage 13: Exploratory Data Analysis in Six Sigma

Stage 14: Introduction to Hypothesis Testing and Testing for Means in Six Sigma

Stage 15: Hypothesis Tests for Variances, Proportions, ANOVA, and Chi-Square in Six Sigma

Stage 16: Design of Experiments and Validation of Solutions in Six Sigma

Stage 17: Statistical Process Control and Control Plans in Six Sigma

Stage 18: Using Basic Control Charts in Six Sigma

Course Code:

SIXG-2

Course Duration:

12 months

Typical Study Hours:

40 - 50 hours

Course Fees:

See our Fee Guide

Course Demo:

Request an online Course Demo

Study Prerequisite:

Candidates must have 3 years quality control experience. Quality Professionals, Engineers, Production Managers, and IT Professionals with the responsibility of improving quality and processes.

Additional Information for Stage 1:

• Six Sigma and Lean in the Organisation

  • Recognise the benefits of Six Sigma
  • Match the pioneers of Six Sigma to their contributions
  • Match examples of Six Sigma metrics to their types
  • Match balanced scorecard perspectives to examples of their associated metrics
  • Match stages in the project selection process to examples of their associated activities
  • Match Lean tools to examples of their application
  • Match Lean concepts to their descriptions
  • Recognise examples of different waste types in an organisation
  • Sequence the steps for reducing cycle time
  • Recognise key concepts associated with Goldratts Theory of Constraints

^top

Additional information for Stage 2:

• Design for Six Sigma in the Organisation

  • Identify the tools used by Design for Six Sigma (DFSS)
  • Recognise examples of the benefits of DFSS
  • Identify situations that call for a DFSS strategy
  • Identify the key characteristics of DFSS methodologies
  • Identify the similarities between DFSS and Six Sigma
  • Identify the differences between DFSS and Six Sigma
  • Identify customer-focused characteristics of DFSS
  • Identify examples of the information included in the key sections of a House of Quality matrix
  • Recognise the four Failure Modes and Effects Analysis (FMEA) types
  • Recognise the characteristics of Design FMEA (DFMEA) and Process FMEA (PFMEA)
  • Identify examples of the types of information included in the key areas of a FMEA worksheet

^top

Additional information for Stage 3:

• Processes and Customer Analysis in Six Sigma Projects

  • Identify the key components of a typical organisations core process
  • Interpret a project stakeholder worksheet to determine the appropriate actions to take
  • Identify the characteristics of stakeholders and owners
  • Identify the internal and external customers for a given project
  • Identify the most appropriate research tools to collect customer data in various situations
  • Recognise how number-driven customer data analysis tools are used
  • Recognise how idea-driven customer data analysis tools are used
  • Identify how different need-level examples are represented on a Kano analysis diagram
  • Sequence the steps involved in creating a CTQ tree
  • Evaluate different areas of a House of Quality matrix
  • Identify the steps involved in creating a House of Quality matrix

^top

Additional information for Stage 4:

• Basics of Six Sigma Projects and Team

  • Match elements of a project charter for a Six Sigma project to examples of the information they contain
  • Identify the characteristics of tools used to develop Six Sigma project scope
  • Match the metrics types to their definitions
  • Sequence the steps for creating a Pareto chart
  • Identify correct interpretations of a Gantt chart
  • Identify the critical path for an activity network diagram
  • Identify and apply the PERT formula for calculating expected time
  • Identify the characteristics of key documentation categories
  • Identify key characteristics associated with risk analysis
  • Identify the activities associated with project closure
  • Identify the teams typically used on projects
  • Identify descriptions of key team roles
  • Identify true statements about the roles of key players in Six Sigma deployments
  • Identify the group behaviors characteristic of the key stages of team evolution
  • Identify solutions for resolving common team problems
  • Identify characteristics of key team tools used in Six Sigma projects
  • Identify situations best suited to different communication tools

^top

Additional information for Stage 5:

• Tools for Planning and Managing Six Sigma Project Opportunities

  • Recognise the use of best practices for creating an affinity diagram
  • Sequence the examples of steps for creating a matrix diagram
  • Identify areas for improvement in a given tree diagram
  • Interpret a prioritisation matrix
  • Interpret an interrelationship digraph
  • Identify the critical path for an activity network diagram
  • Interpret a process decision program chart

^top

Additional information for Stage 6:

• Using Six Sigma Analysis Tools and Metrics for Project Decisions

  • Calculate defects per unit (DPU)
  • Use the formulas for calculating rolled throughput yield (RTY)
  • Calculate first time yield (FTY)
  • Calculate defects per million opportunities (DPMO)
  • Identify correct formulas for Cp and Cpk based on given data
  • Match types of cost of poor quality (COPQ) to their examples
  • Sequence the key steps in the failure modes and effects analysis (FMEA)
  • Calculate and analyze risk priority numbers (RPNs)
  • Calculate the percentage reduction in RPN

^top

Additional information for Stage 7:

• Modeling and Analysing Processes in Six Sigma

  • Identify basic concepts associated with process modeling
  • Match the process map types to the situations for which they best apply
  • Identify correct interpretations of a process map, in a given scenario
  • Match key process map symbols with their use
  • Identify the key characteristics of written procedures and work instructions
  • Recognise various SIPOC elements in a given organisational process
  • Recognise the use of best practice when creating a cause-and-effect diagram
  • Prioritise process input variables in a Six Sigma improvement project using relational matrices

^top

Additional information for Stage 8:

• Statistics and Probability in Six Sigma

  • Classify examples of enumerative and analytical statistics
  • Distinguish between examples of population parameters and sample statistics
  • Define the statistical terms population and sample
  • Identify key concepts of the Central Limit Theorem
  • Calculate the probability of an event in a given scenario
  • Match the terms associated with probability to their definitions
  • Calculate the probability of an independent event in a given scenario
  • Calculate the probability of a dependent event in a given scenario
  • Calculate the probability of a mutually exclusive event in a given scenario
  • Identify how to use the multiplication rule to calculate probabilities of events
  • Identify how to use the addition rule to calculate probabilities of events

^top

Additional information for Stage 9:

• Data Classification and Collection in Six Sigma

  • Distinguish between examples of continuous and discrete data
  • Identify the key characteristics of continuous and discrete data
  • Match the types of measurement scales to their descriptions
  • Match the key considerations for creating a solid data collection plan to their examples
  • Identify an example of a well-created check sheet
  • Identify examples of different types of data coding methods
  • Match the different types of sampling methods used in Six Sigma to their descriptions
  • Identify the considerations for determining sample size
  • Identify the key characteristics of simple random sampling
  • Identify the tasks associated with taking a stratified sample

^top

Additional information for Stage 10:

• Summarising and Presenting Data in Six Sigma

  • Calculate the key measures of central tendency
  • Calculate the key measures of dispersion
  • Make key calculations in the creation of a cumulative frequency table
  • Sequence the examples of steps for constructing a frequency distribution table
  • Distinguish between the characteristics of stem-and-leaf plots, box-and-whisker plots, and Pareto charts
  • Match run chart pattern names to their appropriate interpretations
  • Identify statements that reflect correct interpretations of a scatter diagram
  • Identify the general interpretations associated with the three types of histograms
  • Sequence the examples of steps for creating a normal probability plot

^top

Additional information for Stage 11:

• Probability Distributions and Measurement Systems Analysis in Six Sigma

  • Identify correct observations of a normal distribution curve
  • Use a z-distribution table to calculate the cumulative probability of the z-value
  • Calculate probability using binomial distributions
  • Calculate probability using the Poisson distribution formula
  • Calculate the cumulative probability of chi-square using a cumulative frequency table
  • Calculate the chi-square statistic
  • Calculate the t-statistic for a given data set
  • Calculate the F-statistic for a given data set
  • Match the key measurement systems analysis concepts to their characteristics
  • Calculate the Gauge Repeatability and Reproducibility (R&R) value
  • Match measurement-correlation factors to their definitions

^top

Additional information for Stage 12:

• Measuring Process Capability and Performance in Six Sigma

  • Identify key concepts associated with process capability and stability
  • Identify the correct interpretation of a given process capability diagram
  • Distinguish between the two methodologies used to measure process performance
  • Match the essential stages of a process capability study to their descriptions
  • Calculate and interpret process capability indices for a given data set
  • Calculate process performance indices
  • Distinguish between the characteristics of process performance indices and process capability indices
  • Approximate long-term process capability using the sigma level for short-term process capability
  • Calculate process capability for a given discrete data set

^top

Additional information for Stage 13:

• Exploratory Data Analysis in Six Sigma

  • Recognise how multi-vari analysis helps a Six Sigma team during the Analyse stage
  • Match the steps in a multi-vari analysis to their descriptions
  • Match variation types with their graphical examples
  • Sequence examples of the steps in creating a sampling plan for a multi-vari analysis
  • Interpret scatter diagrams to determine the correlation between variables
  • Match the correlation coefficient value with the scatter diagram that best illustrates that value
  • Identify reasons why Six Sigma teams should determine the statistical significance of a correlation coefficient
  • Match statements about correlation and causation to examples of their respective characteristics
  • Predict a variable value for a given regression model and other variable value
  • Recognise the elements of the simple linear least-squares regression equation in a given example

^top

Additional information for Stage 14:

• Introduction to Hypothesis Testing and Testing for Means in Six Sigma

  • Match the key concepts in hypothesis testing with their descriptions
  • Recognise examples illustrating the key steps in hypothesis testing
  • Match each situation type with the appropriate means test
  • Test a given hypothesis using a one-sample test for means
  • Test a given hypothesis using a two-sample t-test

^top

Additional information for Stage 15:

• Hypothesis Tests for Variances, Proportions, ANOVA, and Chi-Square in Six Sigma

  • Identify some of the activities associated with testing hypotheses for variances
  • Identify some of the activities associated with testing hypotheses for proportions
  • Identify some of the activities associated with testing hypotheses using paired-comparison tests
  • Recognise how to determine ANOVA figures in a given scenario
  • Use a chi-square test statistic to determine statistical significance

^top

Additional information for Stage 16:

• Design of Experiments and Validation of Solutions in Six Sigma

  • Match the key elements of the DOE methodology with examples
  • Match each type of DOE with an example
  • Distinguish between full and fractional factorial DOEs based on the number of runs, factors, and levels for each
  • Sequence examples of the steps in the DOE process
  • Identify examples of interactions and main effects in DOE
  • Match tools that are used to identify improvement solutions with descriptions
  • Identify how to evaluate and select solutions using a solution selection matrix
  • Recognise when to use various tools for testing and validating improvement solutions

^top

Additional information for Stage 17:

• Statistical Process Control and Control Plans in Six Sigma

  • Identify the key objectives of statistical process control
  • Identify the benefits of statistical control
  • Recognise examples demonstrating the different strategies for rational subgrouping
  • Match the key elements with descriptions of their roles in control charts
  • Determine the types of control charts suitable to use for given types of data
  • Identify control chart patterns that indicate a process is out of control
  • Match each control plan type with a description of the type of information it provides
  • Sequence the steps in each phase of the construction of a control plan
  • Match the key sections of a control plan with the information they contain

^top

Additional information for Stage 18:

• Using Basic Control Charts in Six Sigma

  • Recognise which variable or attribute control chart to use in a specific situation
  • Identify the major activities that are performed at each step in the standard control charting process
  • Identify the four commonly applied tests that determine evidence of special cause variation
  • Determine any special cause variation in data by creating and interpreting an Xbar and R chart
  • Recognise which formulas to use to help determine special cause variation in an Xbar and s control chart
  • Determine any special cause variation in data by creating and interpreting an ImR chart
  • Calculate the center line, UCL, and LCL for a p control chart to determine if special cause variation exists
  • Calculate the center line, UCL, and LCL for an np control chart to determine if special cause variation exists
  • Calculate the center line, UCL, and LCL for a u control chart to determine if special cause variation exists
  • Calculate the center line, UCL, and LCL for a c control chart to determine if special cause variation exists

^top

<< back to previous page