The art and science to improve your bottom line


200 Hrs
Dr. Rham Mahmoud


DFSS program is intended for those who is driving breakthrough objectives and recognize how projects can be aligned to their corporation’s strategies and metrics. DFSS is not a single road map, but an embodiment of a menu of possible strategies, tactics and tools based on proven strategies. This certification helps you master the modern methods to improve business operations and fully incorporate voice of customer into all business processes. Design for Six Sigma (DFSS) is all about prevention, used by those working on the research, design and product development to ensure products are designed right the first time. All topics offered in the Black Belt training are applied to design of products, services and processes. This includes: Understanding the customer Cascading requirements down to sub-systems and components including the supply base Designing to reduce sensitivity to variation Designing for manufacturing capability Verification and validation
Candidates should have a general understanding of business functions, have a college degree, very good level of English language, proficient in using MS office, experienced problem solvers, working on the research, design and development of products, processes and services.
By completing DFSS Certification course, students will be able to: Participate in the development of a successful DFSS program. Design and plan for products, services and processes that reflects the voice of customer and exceeds customers’ expectations Lead a DFSS project team, using the proactive techniques and team building skills. Apply and interpret basic and advanced DFSS tools, as necessary, for project definition, process baseline analysis, process improvement, and process control. Demonstrate sufficient expertise of the DFSS Body of Knowledge on an appropriate certification exam.


Week 1

  • 1.Voice of the Customer

Week 2

  • 2.Survey Design

Week 3

  • 3.Scorecards

Week 4

  • 4.Kano Analysis

Week 5

  • 5.Creativity and Innovation

Week 6

  • 6.Pugh Matrix

Week 7

  • 7.TRIZ

Week 8

  • 8.Product Liability

Week 9

  • 9.Quality Function Deployment

Week 10

  • 10.Discrete Distributions

Week 11

  • 11.Continuous Distributions

Week 12

  • 12.Statistical Inference & Confidence Intervals

Week 13

  • 13.Power & Sample Size

Week 14

  • 14.Process Capability

Week 15

  • 15.Measurement Systems Analysis

Week 16

  • 16.Robust Design

Week 17

  • 17.Quality Function Deployment

Week 18

  • 18.System Engineering

Week 19

  • 19.Fault Tree Analysis

Week 20

  • 20.Process FMEA

Week 21

  • 21.Design FMEA

Week 22

  • 22.Design of Experiments

Week 23

  • 23.Verification & Validation

Week 24

  • 24.Regression

Week 25

  • 25.Optimization

Week 26

  • 26.Statistical Tolerancing

Week 27

  • 27.Design for Reliability

Week 28

  • 28.Design for Manufacturing & Service

Week 29

  • 29.Final exam


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