Six Sigma Green Belt Certification (SSGB)
Six Sigma Green Belt certification examination
FMEA and Design for Six Sigma
Identifying Six Sigma Projects
Lean Principles in Six Sigma Projects
Management and Planning Tools for Six Sigma
Organizational Goals and Six Sigma
Six Sigma Control Charts
Six Sigma Cycle-time Reduction and Kaizen Blitz
Six Sigma Data Classification, Sampling, and Collection
Six Sigma Design of Experiments
Six Sigma Exploratory Data Analysis
Six Sigma Hypothesis Testing Fundamentals
Six Sigma Hypothesis Tests for Variances and Proportions
Six Sigma Measurement Systems Analysis
Six Sigma Performance Metrics
Six Sigma Probability and Statistical Distributions
Six Sigma Process and Performance Capability Measurement
Six Sigma Process Control Tools
Six Sigma Process Documentation and Analysis
Six Sigma Project Management Essentials
Six Sigma Root Cause Analysis and Waste Elimination
Six Sigma Statistical Process Control Basics
Six Sigma Statistics and Graphical Presentation
Six Sigma Voice of the Customer
Team Dynamics and Performance for Six Sigma Projects
Mentoring Six Sigma Green Belt (SSGB)
TestPrep Six Sigma Green Belt (SSGB)

FMEA and Design for Six Sigma

Course Number:
apr_01_a03_bs_enus
Lesson Objectives

FMEA and Design for Six Sigma

  • distinguish between DFSS tools
  • determine whether to use DFSS for a given project
  • identify the similarities between DFSS and Six Sigma
  • distinguish between IDOV methodology stages
  • distinguish between DMADV methodology stages
  • distinguish between DMAIC, IDOV, and DMADV characteristics
  • identify characteristics of FMEA
  • distinguish between FMEA types
  • recognize steps in the FMEA process
  • distinguish between the components of a risk priority number
  • calculate RPN
  • recognize differences and similarities between DFMEA and PFMEA
  • recognize components of FMEA worksheets
  • demonstrate your understanding of DFSS and FMEA and use them appropriately in process improvement initiatives

Overview/Description
This course covers DFSS and FMEA methodologies and concepts, compares them to Six Sigma DMAIC, and covers how to prioritize process and design risks using FMEA. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Identifying Six Sigma Projects

Course Number:
apr_02_a01_bs_enus
Lesson Objectives

Identifying Six Sigma Projects

  • distinguish between common problem-solving approaches
  • identify the questions that should be asked during a Six Sigma readiness assessment
  • calculate the priority score for a given project
  • select the best Six Sigma methodology for a given project
  • identify expected outcomes of benchmarking
  • recognize characteristics of benchmarking
  • distinguish between types of benchmarking
  • distinguish between process components
  • recognize the cause of a given problem on a cross-functional process improvement team
  • recognize the importance of understanding process variables when conducting a Six Sigma project
  • distinguish between SIPOC elements
  • recognize the importance of stakeholder management to the success of a project
  • identify the process owner on a given Six Sigma project
  • demonstrate your understanding of Six Sigma project selection, benchmarking, challenges, process variables, and stakeholders

Overview/Description
This course covers key considerations for selecting Six Sigma projects and the methodology to apply to the selected project. This course is aligned with ASQ’s 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Lean Principles in Six Sigma Projects

Course Number:
apr_01_a02_bs_enus
Lesson Objectives

Lean Principles in Six Sigma Projects

  • identify the stages of the Lean deployment methodology
  • distinguish between the Lean and Six Sigma methodologies
  • match Lean tools with the Six Sigma stages they can be generally applied to
  • distinguish between the five laws of Lean
  • match Lean concepts to their descriptions
  • recognize the steps in the Lean process
  • distinguish between lean tools
  • identify characteristics unique to service organizations
  • recognize examples of organizational objectives, improvement goals, and tools appropriate for Lean Six Sigma projects in a manufacturing environment
  • recognize key concepts associated with the theory of constraints
  • distinguish between theory of constraints measurement formulas
  • classify activities according to their value
  • recognize examples of different types of waste in an organization
  • identify the types of information revealed by a value stream map
  • distinguish between icons used in a current state map
  • distinguish between icons used in a future state map
  • demonstrate your understanding of applying Lean principles in a Six Sigma project

Overview/Description
This course covers the relationship between Lean and Six Sigma and introduces a few common Lean tools and techniques. This course is aligned with ASQ’s 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Management and Planning Tools for Six Sigma

Course Number:
apr_02_a04_bs_enus
Lesson Objectives

Management and Planning Tools for Six Sigma

  • identify situations for which affinity diagrams are used when planning Six Sigma projects
  • recognize best practices when using affinity diagrams
  • identify uses for interrelationship digraphs
  • recognize best practices when creating interrelationship digraphs
  • identify advantages of using tree diagrams
  • recognize best practices when creating tree diagrams
  • identify appropriate uses for prioritization matrices
  • sequence the steps in creating a prioritization matrix
  • identify uses for matrix diagrams
  • recognize the steps for creating a matrix diagram
  • identify uses for process decision program charts
  • sequence the steps for creating a process decision program chart
  • identify uses for activity network diagrams
  • sequence the steps for creating activity network diagrams
  • demonstrate your understanding of appropriate Six Sigma planning and management tools and how to use them effectively

Overview/Description
This course covers key management and planning tools used in Six Sigma projects and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Mentoring Six Sigma Green Belt (SSGB)

Lesson Objectives

Mentoring Six Sigma Green Belt (SSGB)

  • Overview: Six Sigma and the Organization
  • Define Phase
  • Measure Phase
  • Analyze Phase
  • Improve Phase
  • Control Phase

Overview/Description
Skillsoft Mentors are available to help students with their studies for the Six Sigma Green Belt (SSGB) exam. You can reach them by entering a Mentored Chat Room or by using the Email My Mentor service.

* This asset is aligned to the SSGB 2014 body of knowledge.

Target Audience
Individuals who are studying the associated Skillsoft content in preparation for, or to become familiar with, the skills and competencies being measured by the actual certification exam.

Organizational Goals and Six Sigma

Course Number:
apr_01_a01_bs_enus
Lesson Objectives

Organizational Goals and Six Sigma

  • recognize the benefits of implementing Six Sigma in an organization
  • identify the key characteristics of Six Sigma
  • recognize how the transfer function is applied in Six Sigma
  • sequence key developments in the evolution of continuous improvement methodologies
  • recognize the impact of continuous improvement methodologies on the evolution of Six Sigma
  • distinguish between pioneers of Six Sigma and their key contributions
  • identify questions that need to be asked while assessing an organization's readiness for a Six Sigma project
  • recognize the considerations for selecting a project for Six Sigma
  • identify actions a Six Sigma team should take to establish linkages and supports with the organization's goals
  • recognize the components of a business process
  • distinguish between core and support processes
  • recognize relationships between business processes
  • recognize examples of key business drivers
  • distinguish between types of metrics
  • identify characteristics of good metrics
  • distinguish between balanced scorecard perspectives
  • demonstrate your understanding of fundamental Six Sigma concepts and how they are used to achieve strategic organizational goals

Overview/Description
This course introduces key Six Sigma concepts and how to use them to connect business drivers to Six Sigma metrics to achieve organizational goals. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Control Charts

Course Number:
apr_06_a02_bs_enus
Lesson Objectives

Six Sigma Control Charts

  • recognize basic concepts related to control charts
  • determine the type of control chart to use in a given situation
  • differentiate decision rules based on descriptions of how their data patterns appear on a control chart
  • identify appropriate corrective actions for the trend exhibited in a given control chart
  • match steps in the control charting process with corresponding activities
  • distinguish between when to use an Xbar-R, Xbar-s, or median control chart
  • determine any special cause variation in data by analyzing an Xbar-R chart
  • recognize which formulas to use to help determine special cause variation in an Xbar-s control chart
  • determine any special cause variation in data by interpreting an ImR chart
  • use the data plotted on a p control chart to determine if special cause variation exists
  • use the data plotted on an np control chart to determine if special cause variation exists
  • use the data plotted on a u control chart to determine if special cause variation exists
  • use the data plotted on a c control chart to determine if special cause variation exists
  • demonstrate your understanding of how to create and analyze control charts used as part of statistical process control

Overview/Description
Improved processes must be monitored and controlled to ensure the gains aren't lost. This course teaches methods to select, create, and interpret control charts. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Cycle-time Reduction and Kaizen Blitz

Course Number:
apr_05_a03_bs_enus
Lesson Objectives

Six Sigma Cycle-time Reduction and Kaizen Blitz

  • calculate cycle time and takt time, given a scenario
  • recognize the benefits of cycle time reduction
  • identify characteristics of the continuous flow approach to cycle time reduction
  • recognize the characteristics of the single-minute exchange of dies (SMED) method
  • sequence the core steps of the single-minute exchange of dies (SMED) method
  • determine the appropriate type of kaizen event for a given project
  • recognize examples of activities typically performed during each day of a kaizen blitz
  • recognize activities a team carries out while implementing kaizen in an organization
  • demonstrate your understanding of cycle time reduction and process improvement tools and techniques

Overview/Description
This course covers common lean tools for cycle time reduction and continuous improvement, and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Data Classification, Sampling, and Collection

Course Number:
apr_03_a03_bs_enus
Lesson Objectives

Six Sigma Data Classification, Sampling, and Collection

  • distinguish between data classifications
  • distinguish between types of data
  • determine whether to use discrete or continuous data, given a scenario
  • determine the type of measurement scale being used, given an example
  • identify principles of data sampling
  • distinguish between sampling methods
  • identify situations when you would use simple random sampling
  • identify situations when you would use stratified sampling
  • identify characteristics of automated data collection
  • identify data collection best practices
  • distinguish between technologies used for data collection
  • identify key considerations in creating a data collection plan
  • distinguish between types of check sheets
  • distinguish between data coding methods
  • demonstrate your understanding of data classification, sampling, and collection in Six Sigma improvement initiatives

Overview/Description
This course covers data types, measurement scales, data collection, and sampling techniques. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Design of Experiments

Course Number:
apr_05_a01_bs_enus
Lesson Objectives

Six Sigma Design of Experiments

  • recognize the benefits of Design of Experiments
  • distinguish between DOE elements
  • sequence the steps in the DOE process
  • recognize examples of types of experimental error
  • recognize characteristics of balanced design
  • identify the benefits of randomization
  • recognize factors that should be blocked in a given scenario
  • distinguish between replication and repetition
  • recognize the implications of choosing full and fractional factorial designs
  • identify principles for interpreting main effects plots
  • recognize elements you use to analyze DOE results
  • demonstrate your understanding of design of experiments concepts

Overview/Description
This course covers key concepts of the Design of Experiments methodology, and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Exploratory Data Analysis

Course Number:
apr_04_a01_bs_enus
Lesson Objectives

Six Sigma Exploratory Data Analysis

  • identify characteristics of a multi-vari analysis
  • identify guidelines for creating sampling plans
  • distinguish between types of variation
  • interpret variation results in a given scenario
  • identify uses of correlation analysis in Six Sigma
  • make inferences about data based on a given scatter diagram
  • recognize considerations for interpreting the correlation coefficient
  • identify characteristics of causation
  • identify purpose of determining the statistical significance of a correlation coefficient
  • recognize how linear regression is used during data analysis
  • recognize appropriate conditions for hypothesis testing
  • calculate an outcome using the simple least-squares linear regression formula
  • demonstrate your understanding of Six Sigma exploratory data analysis tools and techniques

Overview/Description
This course introduces some key tools used for exploratory data analysis in Six Sigma, and is aligned with ASQ’s 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Hypothesis Testing Fundamentals

Course Number:
apr_04_a02_bs_enus
Lesson Objectives

Six Sigma Hypothesis Testing Fundamentals

  • identify the purpose of hypothesis testing
  • distinguish between hypotheses testing concepts
  • identify best practices when establishing the practical significance of hypothesis testing results
  • recognize how confidence intervals are used in hypothesis testing
  • distinguish between error types
  • identify factors that affect the power of a hypothesis test
  • determine sample size for a given alpha risk level using margin of error formula
  • sequence the steps in the hypothesis testing process
  • distinguish between hypothesis tests
  • interpret hypothesis test results and determine appropriate responses
  • distinguish between t- and z-tests
  • test a hypothesis using a pooled two-sample test for means
  • test a hypothesis using a non-pooled two-sample test for means
  • demonstrate your understanding of fundamental hypothesis testing concepts, methods, and test types

Overview/Description
This course introduces basic hypothesis testing concepts, terminologies, and some of the most commonly used hypothesis tests, and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Hypothesis Tests for Variances and Proportions

Course Number:
apr_04_a03_bs_enus
Lesson Objectives

Six Sigma Hypothesis Tests for Variances and Proportions

  • identify types of hypothesis tests
  • distinguish between comparison tests
  • interpret the results of a given paired-comparison t-test using the critical value method
  • interpret the results of a given paired-comparison t-test using the p-value method
  • interpret one-sample test for variance results
  • interpret two-sample test for variance results
  • recognize the required sample size for a test for proportions, given the hypothesized proportion
  • interpret one-sample test for proportion results
  • interpret two-sample test for proportion results
  • distinguish between ANOVA concepts
  • interpret one-way ANOVA test results
  • recognize valid parameters and interpretations related to chi-square tests
  • interpret chi-square hypothesis test results
  • demonstrate your understanding of hypothesis testing for variances and proportions

Overview/Description
This course covers advanced hypothesis tests used in Six Sigma, and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Measurement Systems Analysis

Course Number:
apr_03_a05_bs_enus
Lesson Objectives

Six Sigma Measurement Systems Analysis

  • distinguish between accuracy and precision
  • identify types of correlation
  • distinguish between types of variation
  • list the steps to perform a GR&R study
  • interpret data from a given gauge repeatability and reproducibility study
  • calculate a precision to tolerance ratio
  • identify best practices in conducting a bias study
  • calculate and interpret bias
  • identify attributes of linearity
  • calculate linearity and interpret a linearity plot
  • recognize situations when you would use percent agreement to assess a measurement system
  • interpret numeric output from a given percent agreement analysis
  • demonstrate your understanding of Six Sigma measurement systems analysis tools and techniques

Overview/Description
This course covers measurement systems analysis tools and techniques, and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Performance Metrics

Course Number:
apr_02_a05_bs_enus
Lesson Objectives

Six Sigma Performance Metrics

  • recognize performance metrics you can use for calculating defects or nonconformities
  • distinguish between appropriate performance measurement approaches
  • calculate defects per unit (DPU)
  • recognize examples of defect opportunities
  • calculate defects per million opportunities (DPMO)
  • define rolled throughput yield (RTY)
  • distinguish between FTY and RTY
  • recognize the level of capability of a given process
  • calculate Cp and Cpk
  • identify accurate statements about cost of poor quality (COPQ) and its use as a performance metric for planning Six Sigma projects
  • distinguish between COPQ types
  • demonstrate your understanding of using performance metrics for planning Six Sigma projects

Overview/Description
This course covers Six Sigma performance metrics and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Probability and Statistical Distributions

Course Number:
apr_03_a02_bs_enus
Lesson Objectives

Six Sigma Probability and Statistical Distributions

  • distinguish between common probability terms
  • use the formulas for calculating the probability of simple and mutually exclusive events
  • calculate the probability of given events
  • calculate probability using the addition rule
  • calculate probability using the multiplication rule
  • calculate a permutation
  • calculate a combination
  • distinguish between types of variables
  • identify characteristics of normal distribution
  • calculate the cumulative probability from the z-value
  • recognize examples of using a binomial distribution effectively
  • recognize examples of using Poisson distribution effectively
  • recognize characteristics of chi-square distributions
  • identify uses for Student's t-distributions
  • identify characteristics of F-distributions
  • demonstrate your understanding of Six Sigma probability and statistical distributions

Overview/Description
This course covers calculating probability and introduces different types of distributions. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Process and Performance Capability Measurement

Course Number:
apr_03_a06_bs_enus
Lesson Objectives

Six Sigma Process and Performance Capability Measurement

  • distinguish between process limits and specification limits
  • categorize examples of performance metrics
  • sequence the steps of a process capability study
  • determine the stability of a process
  • identify methods of verifying normality for a given process
  • calculate the Cp of a given process
  • calculate the Cpk of a given process
  • rate the capability of a process based on Cp and Cpk values
  • calculate the Pp of a given process
  • calculate the Ppk of a given process
  • identify the characteristics of the Cpm index and when it's used
  • interpret the capability and performance index results in a process capability study
  • recommend action to improve a process in a given scenario
  • estimate the long-term capability of a given process
  • demonstrate your understanding of Six Sigma capability and performance indices

Overview/Description
This course covers Six Sigma process and performance capability measurement best practices, and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Process Control Tools

Course Number:
apr_06_a03_bs_enus
Lesson Objectives

Six Sigma Process Control Tools

  • recognize features of Total Productive Maintenance (TPM)
  • identify characteristics of an organization that has implemented TPM's principle of shared responsibility
  • recognize the goals of Total Productive Maintenance (TPM)
  • classify examples of visual cues as visual controls, visual displays, or both
  • recognize examples of common jidoka devices
  • recognize examples of tools that keep employees in direct contact with the workplace
  • recognize examples of tools that clarify targets for improvement
  • recognize examples of ways Total Productive Maintenance is used in the service industry
  • recognize examples of a visual workplace
  • demonstrate your understanding of how TPM and The Visual Workplace are used to maintain and control processes

Overview/Description
This course explores how Total Productive Maintenance (TPM) and The Visual Workspace can be used to control improved processes and maintain process gains. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Process Documentation and Analysis

Course Number:
apr_03_a01_bs_enus
Lesson Objectives

Six Sigma Process Documentation and Analysis

  • recognize the categories of information obtained through process modeling
  • identify the information to look for when analyzing a process model
  • distinguish between process map types
  • distinguish between process map symbols
  • recognize the activities involved in creating a process map
  • interpret a given process map
  • identify elements of a procedure document
  • recognize characteristics of work instructions
  • demonstrate your understanding of Six Sigma process modeling, mapping, and documentation techniques

Overview/Description
This course examines tools and techniques for modeling and analyzing existing processes, including process mapping, written procedures, and work instructions. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Project Management Essentials

Course Number:
apr_02_a03_bs_enus
Lesson Objectives

Six Sigma Project Management Essentials

  • distinguish between project charter elements
  • recognize a well-written problem statement
  • identify the purpose of establishing a well-defined project scope
  • identify best practices when scoping a Six Sigma project
  • identify the purpose of a process map
  • sequence the steps for creating a Pareto chart
  • distinguish between metric types
  • identify how planning tools are used during a Six Sigma project
  • identify the types of information you can get from Gantt charts
  • identify the critical path for a given activity network diagram
  • use the PERT formula to calculate expected time
  • distinguish between project documentation types
  • identify key risk analysis activities
  • assign a priority score based on probability and impact to a given risk
  • identify project closure activities
  • demonstrate your understanding of key project planning tools and techniques

Overview/Description
This course covers essential project management tools used in a successful Six Sigma project and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Root Cause Analysis and Waste Elimination

Course Number:
apr_05_a02_bs_enus
Lesson Objectives

Six Sigma Root Cause Analysis and Waste Elimination

  • recognize the steps in a root cause analysis
  • identify characteristics of Fishbone diagrams
  • use a relational matrix to prioritize the root causes of a given problem
  • identify the 5 Whys process
  • recognize the steps to perform FTA
  • distinguish between activity types
  • recommend strategies for eliminating waste in a work setting, given a scenario
  • identify characteristics of the 5S method
  • distinguish between 5S principles
  • distinguish between types of poka-yoke
  • distinguish between standard work documentation types
  • recognize characteristics of a kanban-pull system
  • sequence the steps in the kanban-pull process
  • demonstrate your understanding of Six Sigma root cause analysis and waste reduction tools and techniques

Overview/Description
This course covers common root cause analysis and waste elimination tools, and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Statistical Process Control Basics

Course Number:
apr_06_a01_bs_enus
Lesson Objectives

Six Sigma Statistical Process Control Basics

  • recognize the characteristics of an in-control process
  • identify objectives of Statistical Process Control
  • recognize characteristics of Statistical Process Control
  • distinguish key elements of a control chart by their descriptions
  • determine which types of control charts to use in various situations
  • determine whether a variation is due to a common cause or a special cause
  • identify criteria for choosing variables to study
  • recognize examples of variables that are good candidates for Statistical Process Control
  • identify properties of rational subgroups
  • identify considerations for determining appropriate subgroup size
  • identify characteristics of a control plan
  • recognize examples of information typically included in a control plan
  • identify actions involved in transferring responsibility for process control from the Six Sigma team to the process owner
  • demonstrate your understanding of how to use Statistical Process Control (SPC) to sustain improved processes

Overview/Description
This course introduces basic concepts in the Statistical Process Control methodology, including the selection of variables and rational subgrouping. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Statistics and Graphical Presentation

Course Number:
apr_03_a04_bs_enus
Lesson Objectives

Six Sigma Statistics and Graphical Presentation

  • distinguish between descriptive and inferential statistics
  • recognize the implications of the central limit theorem for inferential statistics
  • distinguish between tools for inferential statistics
  • calculate measures of central tendency
  • calculate measures of dispersion
  • interpret a given frequency distribution table
  • identify the purpose of calculating cumulative frequency distribution
  • distinguish between correlation patterns in a scatter plot
  • identify characteristics of normal probability plots
  • recognize attributes of a process given a histogram
  • interpret a given stem-and-leaf plot
  • identify the types of information box-and-whisker plots can be used to graphically illustrate
  • demonstrate your understanding of Six Sigma statistics and graphical methods

Overview/Description
This course covers basic statistical tools for describing, presenting, and analyzing data, and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Six Sigma Voice of the Customer

Course Number:
apr_02_a02_bs_enus
Lesson Objectives

Six Sigma Voice of the Customer

  • distinguish between the VOC and VOB perspectives
  • sequence the five key steps for implementing a VOC strategy in a Six Sigma project
  • distinguish between types of customers
  • identify potential effects of projects on customers
  • recognize the importance of customer data in a Six Sigma project
  • distinguish between data collection tools
  • distinguish between the three components of effective data collection
  • distinguish between common sources of bias and error
  • match poor data collection practices with the type of issue they represent
  • classify examples of types of customer requirements
  • match three levels of customer needs with their descriptions
  • sequence the phases of QFD
  • identify characteristics of an HOQ matrix
  • identify statements that describe how the customer focus is documented in an HOQ diagram
  • match each section of the technical focus area of the HOQ with a description of the type of information it contains
  • sequence the steps for creating an HOQ matrix
  • interpret the patterns in an interrelationship matrix for a given HOQ
  • identify the purpose of setting quantifiable measurements for technical requirements
  • recognize how an HOQ is used to set technical targets
  • demonstrate your understanding of capturing the Voice of the Customer in relation to Six Sigma projects

Overview/Description
This course covers effective concepts and tools for collecting and analyzing customer information and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Team Dynamics and Performance for Six Sigma Projects

Course Number:
apr_02_a06_bs_enus
Lesson Objectives

Team Dynamics and Performance for Six Sigma Projects

  • identify the types of teams typically used on Six Sigma projects
  • recognize the stages of team evolution
  • identify Six Sigma organizational roles
  • distinguish between other Six Sigma roles and responsibilities
  • recognize how to solve interpersonal issues on a team, given a scenario
  • recognize the effects of excessive cohesion on a team and ways to overcome the issues
  • recognize strategies for avoiding common problems during team meetings
  • recognize activities that take place during a brainstorming session
  • recognize principles of the nominal group technique
  • identify situations best suited to different communication tools
  • recognize examples of organizational communication techniques
  • demonstrate your understanding of effective techniques for managing Six Sigma team dynamics and communication needs

Overview/Description
This course covers Six Sigma team roles and responsibilities, tools for effective team management, and strategies for overcoming challenges. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

TestPrep Six Sigma Green Belt (SSGB)

Course Number:
oper_ssgb_a02_tp_enus
Lesson Objectives

TestPrep Six Sigma Green Belt (SSGB)

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Overview/Description
To test your knowledge on the skills and competencies being measured by the vendor certification exam. TestPrep can be taken in either Study or Certification mode. Study mode is designed to maximize learning by not only testing your knowledge of the material, but also by providing additional information on the topics presented. Certification mode is designed to test your knowledge of the material within a structured testing environment, providing valuable feedback at the end of the test.

* This TestPrep is aligned to the SSGB 2014 body of knowledge.

Target Audience
Individuals seeking practice in a structured testing environment, covering the skills and competencies being measured by the vendor certification exam.

Prerequisites: none

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