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Design for Six Sigma (DFSS) is an innovative continuous improvement methodology for designing new products, processes, and services by integrating Lean and Six Sigma principles. This book will explain how the DFSS methodology is used to design robust products, processes, or services right the first time by using the voice of the customer to meet Six Sigma performance. Robust designs are insensitive to variation and provide consistent performance in the hands of the customer. DFSS is used to meet customer needs by understanding their requirements, considering current process capability, identifying and reducing gaps, and verifying predictions to develop a robust design.
This book offers:
- Methodology on how to implement DFSS in various industries
- Practical examples of the use of DFSS
- Sustainability utilizing Lean Six Sigma techniques and Lean product development
- Innovative designs using DFSS with concept generation
- Case studies for implementing the DFSS methodology
Design for Six Sigma (DFSS) enables organizations to develop innovative designs. In order to redesign an existing process or design a new process, the success is dependent on a rigorous process and methodology. DFSS ensures that there are minimal defects in the introduction of new products, processes, or services. The authors have compiled all of the tools necessary for implementation of a practical approach though innovation.
Table of Contents
Introduction. Design for Six Sigma Overview. History of Design for Six Sigma (relationship to Six Sigma). Design for Six Sigma Methodology (Roadmap). Design for Six Sigma Culture and Organizational Strategies. Identify. Project Charter (project description, goals, requirements, expectations, boundaries). Balanced Scorecard. Benchmarking. Project Management. Assess Risk. Invent/Innovate. Gathering the Voice of the Customer (survey design). Quality Function Deployment. Kano Model. TRIZ. Axiomatic Design. Assess Risk. Develop. Lean Product Development. Design for x Methods. Concept Generation. Pugh Concept Selection Matrix. Modeling of Technology. Design Failure Modes and Effects Analysis (talk about mistake proofing here too). Assess Risk. Optimize. Design of Experiments. Modeling of Robustness and Tunability (add ideal and transfer functions here too). System Additive Model. Process Failure Modes and Effects Analysis (add mistake proofing here too). Reliability Testing. Response Surface Methods. Measurement Systems Analysis. Assess Risk. Verify. Modeling of Variational Sensitivities (across the integrated technology platform). System Variance Model. Robustness Additive Models. Capability Analysis. Statistical Process Control. Future and Challenges of Design for Six Sigma. Assess Risk. Case Studies. Product DFSS Case Study. Healthcare DFSS Case Study. Service DFSS Case Study