bar Quality: Entrée or Roadblock to sixer Sigma? Presented by Don Lewis, Ph.D. Principal, Lewis Consulting NWSSUG March 8, 2005 6/2004 1 Lewis Consulting: Our armorial bearing 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 go forth with respect to the measure make in Six Sigma projects? What is our lookout with respect to measurement process quality? How do we go about accomplishing it? Take a look at any(prenominal) 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 stride 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 relative frequency 10 5 0 4.4 4.6 4.8 5.0 Fl ow 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 attack to trouble-Solving MEASUREMENT Business Business Problem Problem statistical Statistical Problem Problem Business Business settlement resoluteness 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 be We Looking ? The measurement of a processing unit by a! stochastic gauge, utilise by a stochastic operator, at a random point in clipping is both: Accurate & Precise 6/2004 8 phoebe bird MSA Properties Bias = absence of systematic fracture Repeatability = short-term random error Reproducibility = long-term random error perceptual constancy = 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:
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