Six Sigma Green Belt E-Learning
- Koop 2 voor €538,02 per stuk en bespaar 2%
- Koop 3 voor €532,53 per stuk en bespaar 3%
- Koop 4 voor €527,04 per stuk en bespaar 4%
- Koop 5 voor €521,55 per stuk en bespaar 5%
- Koop 10 voor €494,10 per stuk en bespaar 10%
- Koop 25 voor €466,65 per stuk en bespaar 15%
- Koop 50 voor €439,20 per stuk en bespaar 20%
Bestel deze unieke E-Learning cursus Six Sigma Green Belt online, 1 jaar 24/ 7 toegang tot rijke interactieve video’s, voortgang door rapportage en testen.
- E-Learning - Online toegang: 365 dagen
- Taal: Engels (US)
- Certificaat van deelname
- Voor 23:00 uur besteld, morgen in huis
- Certificaat van deelname
- Bedrijven bestellen op factuur
- Betaal in 3x geen extra kosten 0% rente en zonder BKR met in3
- Meer informatie? Neem contact op over dit product
Six Sigma Green Belt E-Learning Training
Bestel deze unieke E-earning cursus Six Sigma Green Belt online, 1 jaar 24/ 7 toegang tot rijke interactieve video’s, spraak, voortgangsbewaking door rapportages en testen per hoofdstuk om de kennis direct te toetsen.
Cursusinhoud
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
Duur | 50 uur |
Taal | Engels |
Certificaat van deelname | Ja |
Online toegang | 365 dagen |
Voortgangsbewaking | Ja |
Award Winning E-learning | Ja |
Geschikt voor mobiel | Ja |
average of 0 review(s)
Help ons en andere klanten door het schrijven van een review