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Six Sigma Green Belt DFSS
- let students understand what is six sigma Design
- why should the application of six sigma Design Method to improve product design quality
At the same time - understanding method system of efficient product development innovation and product development of chronic disease
Because let students master the design for six sigma DMADV (define, measure, analysis and Design) method system
The reasonable selection of Six Sigma design tools or software according to the product research and development
- in order to design the product or process before the forecast and eliminate the product defects
- help the designers to have a breakthrough to enhance in the design concept and optional design strategy and methodology
Course Information
- Time：2023-05-10-15
- Location：Shanghai
- Course Series：R & D(Research and Development) series
- Price：12800¥/people
- Course Object：Enterprise development and design strategy decision-making, development / Technical Director / manager, Quality Director / manager, product manager, project manager, engineer, design engineer, a Six Sigma Master Black Belt / Black / green belt in product / service development personnel.
- Lecturer：Full time Lecturer
- Internal Training： YES
- Support Hotline：021-52797163
Stage theme course content
A chance to introduce identification: Omnex, training, team
The Six Sigma overview
Six Sigma background
What is Six Sigma
Six Sigma Roadmap
Basic concepts of Six Sigma
Six Sigma introduction procedure
The introduction of DFSS
Your role in 6Sigma design
Where needs 6Sigma design
IDDOV methodology
What is expected
Based on statistical techniques to DFSS
Statistics: randomness and regularity
data collection
Data Description: graphs and tables
Data Description: Calculation of the president of the Department of computing
probability
Make a conclusion: estimate
hypothesis test
Relationships among variables: identifying opportunities (Continued)
Is VOC
Defined purpose
Identify customer, customer form and area
Interview preparation
Implement interview
Analysis of customer voice
Set up action plan / launch QFD
Two - define the requirements of QFD Quality Function Deployment
QFD definition
Quality house QOD
QFD implementation steps
QFD case
Design DFMEA
Reason
Implementation steps
Analysis of three development concept design strategy
project plan
Gap analysis
risk management
The concept of planning
Creative generation
Brainstorming techniques
TRIZ Technology
Conceptual design considerations
Pugh universal matrix
Four analyze the data and graphic design optimization
Identification data class
Describing the shape of data
Trend analysis
Analytical precision
Master simple graphic analysis method
Analyze the MSA measurement system
Introduction of measurement system
Accuracy and precision
Repeatability and reproducibility of continuous data measurement
MSA simulation exercises
The hypothesis test
Population and sample and its distribution
central limit theorem
Hypothesis testing procedure
Alpha (a) and Beta (b) risk
Number of samples
Using t test to compare the two average
The analysis of variance
Definition of variance analysis
f-distribution
Graphical, statistical, and diagnostic techniques
Fitting and residual
Epsilon square (practical application)
Test sample size and efficacy
The correlation & Regression
Relevant
regression
This is the DOE experimental design
DOE definition
Barriers to effective design
Execution strategy: DOE plan
Factor selection
Response variable selection
Experimental design and selection
Implementation experiment
The 2K full factorial experimental design
2KDOE definition
2KDOE implementation steps
Analysis
A chance to introduce identification: Omnex, training, team
The Six Sigma overview
Six Sigma background
What is Six Sigma
Six Sigma Roadmap
Basic concepts of Six Sigma
Six Sigma introduction procedure
The introduction of DFSS
Your role in 6Sigma design
Where needs 6Sigma design
IDDOV methodology
What is expected
Based on statistical techniques to DFSS
Statistics: randomness and regularity
data collection
Data Description: graphs and tables
Data Description: Calculation of the president of the Department of computing
probability
Make a conclusion: estimate
hypothesis test
Relationships among variables: identifying opportunities (Continued)
Is VOC
Defined purpose
Identify customer, customer form and area
Interview preparation
Implement interview
Analysis of customer voice
Set up action plan / launch QFD
Two - define the requirements of QFD Quality Function Deployment
QFD definition
Quality house QOD
QFD implementation steps
QFD case
Design DFMEA
Reason
Implementation steps
Analysis of three development concept design strategy
project plan
Gap analysis
risk management
The concept of planning
Creative generation
Brainstorming techniques
TRIZ Technology
Conceptual design considerations
Pugh universal matrix
Four analyze the data and graphic design optimization
Identification data class
Describing the shape of data
Trend analysis
Analytical precision
Master simple graphic analysis method
Analyze the MSA measurement system
Introduction of measurement system
Accuracy and precision
Repeatability and reproducibility of continuous data measurement
MSA simulation exercises
The hypothesis test
Population and sample and its distribution
central limit theorem
Hypothesis testing procedure
Alpha (a) and Beta (b) risk
Number of samples
Using t test to compare the two average
The analysis of variance
Definition of variance analysis
f-distribution
Graphical, statistical, and diagnostic techniques
Fitting and residual
Epsilon square (practical application)
Test sample size and efficacy
The correlation & Regression
Relevant
regression
This is the DOE experimental design
DOE definition
Barriers to effective design
Execution strategy: DOE plan
Factor selection
Response variable selection
Experimental design and selection
Implementation experiment
The 2K full factorial experimental design
2KDOE definition
2KDOE implementation steps
Analysis