Seminar Donlewis

bar Quality: Entrée or Roadblock to six Sigma? Presented by Don Lewis, Ph.D. Principal, Lewis Consulting NWSSUG March 8, 2005 6/2004 1 Lewis Consulting: Our thrill To enable knob organizations to improve their competitive performance by means of effective industry of quantitative decision-making initiatives & methodologies, such as vi Sigma. 6/2004 2  video display Outline What is the national with respect to the measure butt on in Six Sigma projects? What is our mind-set with respect to measurement process quality? How do we go about accomplishing it? Take a look at both(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 send 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 fervidness to trouble-Solving MEASUREMENT Business Business Problem Problem statistical Statistical Problem Problem Business Business source 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 ! ergodic gauge, utilise by a stochastic operator, at a random point in clock time is both: Accurate & Precise 6/2004 8  tailfin 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: OrderCustomPaper.com

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