chap23_2010

chap23_2010 - T 1.5 ST T max T min Statistical Tolerances...

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Chapter 23 Design for Six Sigma (DFSS), Simulation, and Optimization
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DAMIC: improving existing products or processes DFSS: designing new products or processes DMADV: Define, Measure, Analyze, Design, Verify DCCDI: Define, Customer, Concept/ides, Implementation IDOV: Identify, Design, Optimize, Validate DMEDI: Define, Measure, Explore, Develop, Implement
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Six Sigma as Stretch Target LSL USL Process width Design width -6 σ ST -3 σ ST 3 σ ST 6 σ ST T μ 0
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Six Sigma as Stretch Target LSL USL Process width Design width -7.5 σ ST -3 σ ST 3 σ ST 4.5 σ ST T μ 0 1.5 σ ST
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Producibility Producibility: Process viability Design/Development: product viability Process economics Process capability Integrated product design/development: Concurrent Eng. Design intent of CTQs Communications Early process design
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Statistical Tolerances Tolerance accumulation (stacked) Assembly Reference points Worst case Tolerance allocation Range of operations
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Statistical Tolerances LSL USL Design width
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Unformatted text preview: T 1.5 ST T max T min Statistical Tolerances Statistical specification limits M = Design margin M T USL-+ = 1 3 max max M T LSL--= 1 3 max min 2 2 / 1 2 2 / 1 1 -- -n n p C LSL USL M 1 1 | | 6 1-=--= DOE and Response Surface Extension of full factorial DOE Special case of multiple regression analysis To determine factor levels that optimize the response + + + + + + = 2 5 2 4 3 2 1 B A AB B A Y Monte Carlo Simulation Random sampling experiment Simulation Model: a combination of inputs and outputs that capture the behavior and performance of a business process or product Random number: a mathematically selected value to conform to a probability distribution assign around a model input Project management Product and process design Financial decisions...
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chap23_2010 - T 1.5 ST T max T min Statistical Tolerances...

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