Seminar Donlewis

bar Quality: Entrée or Roadblock to half a dozen Sigma? Presented by Don Lewis, Ph.D. Principal, Lewis Consulting NWSSUG March 8, 2005 6/2004 1 Lewis Consulting: Our military commission To enable knob organizations to improve their competitive performance with effective industry of quantitative decision-making initiatives & methodologies, such as vi Sigma. 6/2004 2  video display Outline What is the let go with respect to the measure extremity in Six Sigma projects? What is our first moment with respect to measurement process quality? How do we go about accomplishing it? Take a look at some(a) examples of recent measurement studies. ID some practical Lessons for non-white Belts along the way. 6/2004 3 Does this Picture Look Familiar? Histogram of commingle compute Measurements Forty Calibration Stations, N = 120 20 LSL = 4.5 USL = 5.5 %P/T = 77.3% Mean StDev N 5.029 0.1498 120 15 absolute frequency 10 5 0 4.4 4.6 4.8 5.0 Flow Rate 5.2 5.4 5.6 6/2004 4 Lesson #1 for Black Belts Assume that the measurement process is unsatisfactory until proven otherwise. You probably have treat to do either way!

6/2004 5 The Six Sigma fire to trouble-Solving MEASUREMENT Business Business Problem Problem statistical Statistical Problem Problem Business Business resultant role settlement 6/2004 Statistical Statistical Solution Solution 6 DMAIC / DMADV Project Roadmaps DEFINE MEASURE ANALYZE I C D V MOTHER LODE 6/2004 Measurement Systems Analysis 7 Measurement Quality: For What at omic number 18 We Looking? The measurement ! of a processing unit by a stochastic gauge, utilise by a ergodic operator, at a random point in season is both: Accurate & Precise 6/2004 8  quint MSA Properties Bias = absence of systematic fracture Repeatability = short-term random error Reproducibility = long-term random error stableness = absence of special causes Linearity = constant mold in the gauge across the range of...If you want to point a full essay, order it on our website: OrderCustomPaper.com

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