Six Sigma: Six Sigma Green Belt

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Six Sigma Green Belt. 

Bestel deze unieke cursus  Six Sigma Green Belt online, 1 jaar 24/ 7 toegang tot rijke interactieve video’s, voortgangsbewaking door rapportages en testen per hoofdstuk om de kennis direct te toetsen.

Organizational Goals and Six Sigma

Introduction to 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

Evolution of 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…

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Nog niet gevonden wat je zocht? Bekijk deze onderwerpen: Lean Six Sigma Green Belt, Six Sigma, Lean, Lean Six Sigma en Lean Black Belt.

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Six Sigma Green Belt. 

Bestel deze unieke cursus  Six Sigma Green Belt online, 1 jaar 24/ 7 toegang tot rijke interactieve video’s, voortgangsbewaking door rapportages en testen per hoofdstuk om de kennis direct te toetsen.

Organizational Goals and Six Sigma

Introduction to 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

Evolution of 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

Six Sigma Projects

  • 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

Business Processes and Drivers

  • recognize the components of a business process
  • distinguish between core and support processes
  • recognize relationships between business processes
  • recognize examples of key business drivers

Metrics for Process Improvement

  • 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

Lean Principles in Six Sigma Projects

The Lean-Six Sigma Relationship

  • 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

Lean Principles and Concepts

  • distinguish between the five laws of Lean
  • match Lean concepts to their descriptions
  • recognize the steps in the Lean process

Lean Six Sigma Applications

  • 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

Theory of Constraints

  • recognize key concepts associated with the theory of constraints
  • distinguish between theory of constraints measurement formulas

Identifying Value-added Processes & Wastes

  • classify activities according to their value
  • recognize examples of different types of waste in an organization

Value Stream Mapping

  • 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

FMEA and Design for Six Sigma

Introduction to DFSS

  • distinguish between DFSS tools
  • determine whether to use DFSS for a given project
  • identify the similarities between DFSS and Six Sigma

DFSS Methodologies

  • distinguish between IDOV methodology stages
  • distinguish between DMADV methodology stages
  • distinguish between DMAIC, IDOV, and DMADV characteristics

Failure Modes and Effects Analysis (FMEA)

  • identify characteristics of FMEA
  • distinguish between FMEA types
  • recognize steps in the FMEA process

Risk Priority Number

  • distinguish between the components of a risk priority number
  • calculate RPN

Design FMEA and Process FMEA

  • 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

Identifying Six Sigma Projects

Six Sigma Project and Methodology Selection

  • 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

Benchmarking

  • identify expected outcomes of benchmarking
  • recognize characteristics of benchmarking
  • distinguish between types of benchmarking

Process Elements

  • distinguish between process components
  • recognize the cause of a given problem on a cross-functional process improvement team

Process Inputs and Outputs

  • recognize the importance of understanding process variables when conducting a Six Sigma project
  • distinguish between SIPOC elements

Six Sigma Project Stakeholders

  • 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

Six Sigma Voice of the Customer

Identifying Customer Requirements

  • 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

Collecting Customer Data

  • recognize the importance of customer data in a Six Sigma project
  • distinguish between data collection tools

Effective Customer Data Collection

  • 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

Translating Customer Requirements and QFD

  • classify examples of types of customer requirements
  • match three levels of customer needs with their descriptions
  • sequence the phases of QFD

House of Quality (HOQ)

  • 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

Creating an HOQ Matrix

  • 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

Six Sigma Project Management Essentials

Six Sigma Project Charter

  • distinguish between project charter elements
  • recognize a well-written problem statement

Six Sigma Project Scope

  • 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

Six Sigma Project Metrics

  • distinguish between metric types

Six Sigma Project Planning Tools

  • 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

Six Sigma Project Documentation

  • distinguish between project documentation types

Six Sigma Project Risk Analysis and Closure

  • 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

Management and Planning Tools for Six Sigma

Affinity Diagrams

  • identify situations for which affinity diagrams are used when planning Six Sigma projects
  • recognize best practices when using affinity diagrams

Interrelationship Digraphs

  • identify uses for interrelationship digraphs
  • recognize best practices when creating interrelationship digraphs

Tree Diagrams

  • identify advantages of using tree diagrams
  • recognize best practices when creating tree diagrams

Prioritization Matrices

  • identify appropriate uses for prioritization matrices
  • sequence the steps in creating a prioritization matrix

Matrix Diagrams

  • identify uses for matrix diagrams
  • recognize the steps for creating a matrix diagram

Process Decision Program Charts

  • identify uses for process decision program charts
  • sequence the steps for creating a process decision program chart

Activity Network Diagrams

  • 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

Six Sigma Performance Metrics

Introduction to Performance Metrics

  • recognize performance metrics you can use for calculating defects or nonconformities
  • distinguish between appropriate performance measurement approaches

DPU and DPMO

  • calculate defects per unit (DPU)
  • recognize examples of defect opportunities
  • calculate defects per million opportunities (DPMO)

Rolled Throughput Yield (RTY)

  • define rolled throughput yield (RTY)
  • distinguish between FTY and RTY

Process Capability Indices

  • recognize the level of capability of a given process
  • calculate Cp and Cpk

Cost of Poor Quality (COPQ)

  • 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

Team Dynamics and Performance for Six Sigma Projects

Project Teams for Six Sigma

  • identify the types of teams typically used on Six Sigma projects
  • recognize the stages of team evolution

Team Roles and Responsibilities

  • identify Six Sigma organizational roles
  • distinguish between other Six Sigma roles and responsibilities

Common Team Challenges

  • 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

Six Sigma Team Tools

  • recognize activities that take place during a brainstorming session
  • recognize principles of the nominal group technique

Six Sigma Communication

  • 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

Introduction to Performance Metrics

  • recognize performance metrics you can use for calculating defects or nonconformities
  • distinguish between appropriate performance measurement approaches

DPU and DPMO

  • calculate defects per unit (DPU)
  • recognize examples of defect opportunities
  • calculate defects per million opportunities (DPMO)

Rolled Throughput Yield (RTY)

  • define rolled throughput yield (RTY)
  • distinguish between FTY and RTY

Process Capability Indices

  • recognize the level of capability of a given process
  • calculate Cp and Cpk

Cost of Poor Quality (COPQ)

  • 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

Six Sigma Process Documentation and Analysis

Measuring Processes

  • recognize the categories of information obtained through process modeling
  • identify the information to look for when analyzing a process model

Process Mapping

  • distinguish between process map types
  • distinguish between process map symbols
  • recognize the activities involved in creating a process map
  • interpret a given process map

Process Documentation

  • identify elements of a procedure document
  • recognize characteristics of work instructions
  • demonstrate your understanding of Six Sigma process modeling, mapping, and documentation techniques

Six Sigma Probability and Statistical Distributions

Probability and Types of Events

  • distinguish between common probability terms
  • use the formulas for calculating the probability of simple and mutually exclusive events
  • calculate the probability of given events

Addition and Multiplication Rules

  • calculate probability using the addition rule
  • calculate probability using the multiplication rule

Permutations and Combinations

  • calculate a permutation
  • calculate a combination

Statistical Distributions

  • distinguish between types of variables
  • identify characteristics of normal distribution
  • calculate the cumulative probability from the z-value

Binomial and Poisson Distributions

  • recognize examples of using a binomial distribution effectively
  • recognize examples of using Poisson distribution effectively

Other Common Distributions

  • 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

Six Sigma Data Classification, Sampling, and Collection

Data Types and Measurement

  • 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

Data Sampling Methods

  • 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

Data Collection Methods in Six Sigma

  • 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

Data Collection Strategies

  • 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

Six Sigma Statistics and Graphical Presentation

Fundamentals of Statistics

  • distinguish between descriptive and inferential statistics
  • recognize the implications of the central limit theorem for inferential statistics
  • distinguish between tools for inferential statistics

Measures of Central Tendency and Dispersion

  • calculate measures of central tendency
  • calculate measures of dispersion

Frequency Distribution

  • interpret a given frequency distribution table
  • identify the purpose of calculating cumulative frequency distribution

Graphical Methods

  • 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

Six Sigma Measurement Systems Analysis

Measurement System Analysis

  • distinguish between accuracy and precision
  • identify types of correlation

Analyzing Precision of Measurement Systems

  • 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

Measurement Accuracy: Bias Study

  • identify best practices in conducting a bias study
  • calculate and interpret bias

Measurement Accuracy: Linearity Study

  • identify attributes of linearity
  • calculate linearity and interpret a linearity plot

Percent Agreement

  • 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

Six Sigma Process and Performance Capability Measurement

Measuring Process Performance

  • distinguish between process limits and specification limits
  • categorize examples of performance metrics

Process Capability Studies

  • sequence the steps of a process capability study
  • determine the stability of a process
  • identify methods of verifying normality for a given process

Process Capability and Performance Indices

  • 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

Sigma Level and Long-term Capability

  • 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

Six Sigma Exploratory Data Analysis

Multi-vari Studies

  • identify characteristics of a multi-vari analysis
  • identify guidelines for creating sampling plans

Studying Variation

  • distinguish between types of variation
  • interpret variation results in a given scenario

Correlation and Correlation Coefficient

  • 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

Causation and Statistical Significance

  • identify characteristics of causation
  • identify purpose of determining the statistical significance of a correlation coefficient

Linear Regression

  • 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

Six Sigma Hypothesis Testing Fundamentals

Key Concepts in Hypothesis Testing

  • identify the purpose of hypothesis testing
  • distinguish between hypotheses testing concepts
  • identify best practices when establishing the practical significance of hypothesis testing results

Confidence Interval and Error Types

  • recognize how confidence intervals are used in hypothesis testing
  • distinguish between error types

Power and Sample Sizes

  • identify factors that affect the power of a hypothesis test
  • determine sample size for a given alpha risk level using margin of error formula

The Hypothesis Testing Process

  • sequence the steps in the hypothesis testing process
  • distinguish between hypothesis tests
  • interpret hypothesis test results and determine appropriate responses

One- and Two-sample Tests for Means

  • 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

Six Sigma Hypothesis Tests for Variances and Proportions

Paired-comparison t-test

  • 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

Tests for Variances

  • interpret one-sample test for variance results
  • interpret two-sample test for variance results

Hypothesis Tests for Proportions

  • 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

ANOVA

  • distinguish between ANOVA concepts
  • interpret one-way ANOVA test results

Chi-square Test

  • 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

Six Sigma Design of Experiments

Introduction to Design of Experiments

  • recognize the benefits of Design of Experiments
  • distinguish between DOE elements
  • sequence the steps in the DOE process

Key Concepts in Design of Experiments

  • 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

Main Effects and Interaction

  • identify principles for interpreting main effects plots
  • recognize elements you use to analyze DOE results
  • demonstrate your understanding of design of experiments concepts

Six Sigma Root Cause Analysis and Waste Elimination

Root Cause Analysis

  • 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

Waste Reduction

  • distinguish between activity types
  • recommend strategies for eliminating waste in a work setting, given a scenario

Waste Reduction Tools

  • 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

Six Sigma Cycle-time Reduction and Kaizen Blitz

Cycle Time Reduction

  • calculate cycle time and takt time, given a scenario
  • recognize the benefits of cycle time reduction

Cycle Time Reduction Methods

  • 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

Kaizen and Kaizen Blitz

  • 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

Six Sigma Statistical Process Control Basics

Statistical Process Control

  • recognize the characteristics of an in-control process
  • identify objectives of Statistical Process Control
  • recognize characteristics of Statistical Process Control

Control Charts and Variations

  • 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

Selecting Variables for SPC

  • identify criteria for choosing variables to study
  • recognize examples of variables that are good candidates for Statistical Process Control

Rational Subgrouping

  • identify properties of rational subgroups
  • identify considerations for determining appropriate subgroup size

Developing and Implementing a Control Plan

  • 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

Six Sigma Control Charts

Control Charts: Key Elements and Types

  • recognize basic concepts related to control charts
  • determine the type of control chart to use in a given situation

Dealing with Out of Control Charts

  • 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

Standard Control Charting Process

  • match steps in the control charting process with corresponding activities

Variables Data Control Charts

  • 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

Attributes Data Control Charts

  • 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

Six Sigma Process Control Tools

Total Productive Maintenance (TPM)

  • 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)

Visual Factory

  • 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

Application of Control Tools in Service

  • 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

TestPrep Six Sigma Green Belt (SSGB)

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