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Chapter 23 Design for Six Sigma (DFSS), Simulation, and Optimization.

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Presentation on theme: "Chapter 23 Design for Six Sigma (DFSS), Simulation, and Optimization."— Presentation transcript:

1 Chapter 23 Design for Six Sigma (DFSS), Simulation, and Optimization

2 DAMIC & DFSS 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

3 Six Sigma as Stretch Target LSL USL Process width Design width -6  ST -3  ST 3  ST 6  ST T 00

4 Six Sigma as Stretch Target LSL USL Process width Design width -7.5  ST -3  ST 3  ST 4.5  ST T 00 1.5  ST

5 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

6 Statistical Tolerances Tolerance accumulation (stacked) –Assembly –Reference points –Worst case Tolerance allocation Range of operations

7 Statistical Tolerances LSL USL Design width T 00 1.5  ST T max T min

8 Statistical Tolerances Statistical specification limits –M = Design margin

9 DOE and Response Surface Extension of full factorial DOE Special case of multiple regression analysis To determine factor levels that optimize the response

10 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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