Location: Innovation IEG > Institute for Innovation > DFSS Green Belt+ Bla


DFSS Green Belt+ Black Belt Training Courses

Course Introduction: 
Design for Six Sigma (DFSS) is an effective method to solve design problems. DFSS is applying innovative logical way and design tools to all phases of new product development in order to achieve the purpose of the quality optimization and cost reduction of the new product.
TRIZ systematic innovation tools are specially added into DFSS courses of American IEG Institute for Innovation for effectively solving core technological problems existing in the current product design and producing valuable patents. 
                                  
 


Course Features:

1. Professional lecturers: IEG has many senior scientists/ experts who have very rich experience in management innovation and product innovation.

2. Easy to apply: the course provides many actual cases to carry out individual case study and group practice so as to help students apply what they had learned to work and life rapidly.

    3. Integrity: Help practitioners to work out design flow can be applied to any type of product, and assist students to structure an all-around thinking by assisted instruction of DFSS courses and statistical software.

4. Professional certificates: student who had completed the course and passed the exams would be granted with DFSS Training Certificate issued by IEG Institute for Innovation.
 

Course Object:

R& D Manager, developer, Process Manager, Product Manager, engineer, patent engineer and personnel who are interested in innovation.
 

Course Benefits:

1. Describe phased goals of D-M-A-D-V.

2. Understand complete financial analysis skills of the project.

3. Understand complete risk analysis skills of the project.

4. Be familiar with quality function deployment analysis.

5. Understand complete TRIZ innovation, R&D theory.

6. The concept of using Pugh matrix to select new products.

7. Design complete score card.

8. Design and analyze Robust Design.

9. Use Monte Carlo Simulation to complete tolerance and reliability analysis of the product.

10. Analyze reliability data.

11. Describe the principle of DFMA.

12. Choose the right product maintenance strategy.

13. Accelerate product innovation and R & D speed.

14. Shorten the R & D time.
 

Course Duration: 20 days
 

Teaching Method: theme lectures, case studies, course exercises, scenario simulation
 
Course Content
  
 
Phase Time Courses Contents Courses Objectives
Define 4 days DFSS Introduction Know about DFSS definition and basic contents
Achievements in each phases of DFSS Know about the results which shall be produced in each phase of DFSS
Voice of customer (VOC) Confirm market/customer voices and convert into quantizable customer demands
Technology Roadmap Analyze the current and future roadmaps of system’s key technology
Design Thinking Make use of empathy and further set up the innovative direction of oncoming products
Eight Technology Evolution Rules Get familiar with right technology evolution rules and find out evolutionary trend of critical technology
Financial Risk analysis during New Product Development                          Analyze the break-even and profit risk of new product development
Risk Analysis during New Product Analysis                                Confirm and analyze risks during new product development
Measure 4 days Quality function deployment (QFD) Find out the critical design demands of new product and their existing contradictions
Critical to Quality (CTQ) deployment Create relationship among critical quality index in different design levels
Data Allocation Mode Review the characteristics of common data allocation and shift the non-normal allocation
Review on Measurement System Analysis (MSA) Review the measurement system analysis and confirm the suitability of current measurement system
Review on Process Capability Analysis Review process capability analysis method and analyze the design capacity of current phase
Design Scorecard Evaluate the design capacity of current phase and confirm the weak spots if design capacity
Design Failure Mode and Effect Analysis (DFMEA) Analyze and prevent failure mode and effect of defective design
Analyze 5 days TRIZ Introduction Know about the development history and phases of TRIZ
Multi-screen Method Make use of Nine Window method to analyze the current situations of different levels and feasible innovative direction 
Root Cause Analysis Seek the “weak spot” of problem solving so as to determine the direction of problem solving
Idealism and Ideal Final Result Know about the six principles for improving idealism and design the final ideal solution of the system
Resource Utilization Distinguish resource categories and apply resources to solve problems
Technical& Physical Contradiction and 39 Parameter Define contradiction and their corresponding to 39 engineering parameter
Technical Contradiction and 39 Engineering Parameter Make use of 39 engineering parameter to describe technical contraction problem
Contradiction Matrix and 40 Inventive Principles Explain 40 Inventive Principles and apply contradiction matrix to find out referable inventive principles and figure out practical solution
Physical Contradiction and 4 Separation Principles Apply 4 separation principles to find out inventive principles which can solve physical contraction and figure out practical solutions
Function Model Analysis Make use of function block to analyze problems
TRIZ Software Application Make use of the logics and knowledge base of IWB software to know about problem solving concept
Scientific Effect Tell scientific effect categories and apply scientific effect to solve problem
Patent Search and Analysis Make use of patent search tool to know about matters concerning patent application
Concept Assessment and Selection Apply Pugh Matrix and Affinity Diagram
Design 4 days Experimental Design Introduction Review the objectives and methods of experimental design
Review on 2KFactorial experiments Design Method Review the parameter optimization design of 2K method
Review on Response Surface Experiment method Review the parameter optimization design of response surface experiment method
Mixture Experiment Design Method                                       Make use of the common methods during continuous production to carry out parameter optimization design
Robust Design Concept                                     Introduce the definition and ideas about robust design
Taguchi Method Design Method Use Taguchi method to carry out parameter optimization design
Tolerance Design and Analysis Know about the six design and analysis methods of critical parameter operating specification
Verify 3 days Reliability Principles and Analysis methods Introduce reliable statistical idea and data analysis method of reliability
Reliability Test Compile the reliability test plan of new product and check out the reliability
Maintainable Design Compile relevant maintenance plans during tested capacity process of new products
Review  on Statistical Process Control Plan the operating parameter control methods during tested capacity process of new products
Poka-Yoke Compile Poka-Yoke during tested capacity process of new products
Project Transfer and Control Plan Compile relevant control plans during tested capacity process of new products