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Page:	Design for Six Sigma - IDOV Methodology By Dr. David Woodford Design for Six Sigma (DFSS) can be accomplished using any one of many methodologies. IDOV is one popular methodology for designing products and services to meet six sigma standards. IDOV is a four-phase process that consists of Identify, Design, Optimize and Verify. These four phases parallel the four phases of the traditional Six Sigma improvement methodology, MAIC - Measure, Analyze, Improve and Control. The similarities can be seen below. Identify Phase The Identify phase begins the process with a formal tie of design to Voice of the Customer. This phase involves developing a team and team charter, gathering VOC, performing competitive analysis, and developing CTQs. Crucial Steps: Identify customer and product requirements Establish the business case Identify technical requirements (CTQ variables and specification limits) Roles and responsibilities Milestones Key Tools: QFD (Quality Function Deployment) FMEA (Failure Means and Effects Analysis) SIPOC (Supplier, Input, Product, Output, Customer product map) IPDS (Integrated Product Delivery System) Target Costing Benchmarking Design Phase The Design phase emphasizes CTQs and consists of identifying functional requirements, developing alternative concepts, evaluating alternatives and selecting a best-fit concept, deploying CTQs and predicting sigma capability. Crucial Steps: Formulate concept design Identify potential risks using FMEA For each technical requirement, identify design parameters (CTQs) using engineering analysis such as simulation Raw materials and procurement plan Manufacturing plan Use DOE (design of experiments) and other analysis tools to determine CTQs and their influence on the technical requirements (transfer functions) Key Tools: Smart simple design Risk assessment FMEA Engineering analysis Materials selection software Simulation DOE (Design of Experiments) Systems engineering Analysis tools Optimize Phase The Optimize phase requires use of process capability information and a statistical approach to tolerancing. Developing detailed design elements, predicting performance, and optimizing design, take place within this phase. Crucial Steps: Assess process capabilities to achieve critical design parameters and meet CTQ limits Optimize design to minimize sensitivity of CTQs to process parameters Design for robust performance and reliability Error proofing Establish statistical tolerancing Optimize sigma and cost Commission and startup Key Tools: Manufacturing database and flowback tools Design for manufacturability Process capability models Robust design Monte Carlo Methods Tolerancing Six Sigma tools Validate Phase The Validate phase consists of testing and validating the design. As increased testing using formal tools occurs, feedback of requirements should be shared with manufacturing and sourcing, and future manufacturing and design improvements should be noted. Crucial Steps: Prototype test and validation Assess performance, failure modes, reliability, and risks Design iteration Final phase review Key Tools: Accelerated testing Reliability engineering FMEA Disciplined New Product Introduction (NPI) About The Author David Woodford has a Ph.D. and a D.Sc from the University of Birmingham in England. He worked for GE in both the Turbine Technology Laboratory and in the Corporate R&D Center. From 1986 to 1994 he was Professor of Materials Engineering at Rensselaer Polytechnic Institute. He has published over one hundred and twenty papers in the general area of materials for energy conversion systems and has given numerous invited talks. Dr. Woodford is President, MPa, Inc. in Santa Barbara and Visiting Professor at the University of California at Santa Barbara.

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