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me_350_-_lect_13_-_doe_part1.20091015.4ad76ae6a89445.84175606

Me_350_-_lect_13_-_doe_part1.20091015.4ad76ae6a89445.84175606

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ME 350 – Lecture 13 – DOE Design of Experiments Quality Control Gaussian distributions Quality Loss Function 2 k Factorial Design
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Goal of Quality Control Strategic view of Quality Design and Improvement:
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Example Experiment Control variable 1, x 1 : extruder temperature Control variable 2, x 2 : injection time Output measurement, y: part weight (goal is 25 oz)
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Two approaches to Quality Control: 1. Inspection and part rework 1. Continual process improvement
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Gaussian Distributions Gaussians have: 1. Mean (average), μ 2. Standard deviation, σ 3. Variance, σ 2 4. Tolerance: 2σ = 4σ = 6σ = Variance of a system: σ 2 = Tolerance of a system: σ =
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A part with a “hole” must match up with another containing a “pin.” The hole and pin tolerances ( ) are 15 mil. Thus the clearance distribution between the parts is: Quality Control: Gaussian Distribution
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Quality Control: Rework Distribution Same problem as before (tolerances are 15 mil). Thus the clearance distribution is:
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Quality Loss Function The deviation of a product from its nominal value
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