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Abstract : "Design of Experiments (DoE)" refers to a statistical methodology used in quality improvement to systematically study the impact of various input factors (variables) on a desired output (response), allowing for the identification of optimal conditions to maximize quality and performance within a process or product design, essentially helping to "design for quality" by understanding how different factors interact and affect the final result.  Key points about DoE: Systematic approach: DoE involves deliberately varying multiple factors at different levels while carefully controlling other variables, enabling the analysis of individual and combined effects on the output.  Statistical analysis: Data collected from the experiment is statistically analyzed to determine which factors have the most significant impact on the response, allowing for targeted adjustments to optimize the process.  Benefits: Reduced experimentation time: By strategically de...

Abstract : Quality Function Deployment (QFD) is a design tool that helps ensure customer needs are met throughout the product development process. It helps translate customer needs into measurable design targets and product features.  How it works QFD uses a matrix called the House of Quality to link customer attributes to technical characteristics.  QFD helps identify critical customer attributes and create a link between those attributes and design parameters.  QFD helps transform qualitative user demands into quantitative parameters.  QFD helps deploy quality functions into subsystems, components, and manufacturing processes.  Benefits  QFD can help improve customer satisfaction. QFD can help reduce waste and rework. QFD can help improve communication and collaboration. QFD can help stimulate innovation and creativity. QFD can help increase efficiency and profitability. Phases of QFD Product planning, Product design, Process planning, and Pro...