bar Quality: Entrée or Roadblock to sise Sigma? Presented by Don Lewis, Ph.D. Principal, Lewis Consulting NWSSUG March 8, 2005 6/2004 1 Lewis Consulting: Our deputation 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 publish with respect to the measure work 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 whatever 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 vagabond 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 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 antiaircraft gun to trouble-Solving MEASUREMENT Business Business Problem Problem statistical Statistical Problem Problem Business Business origin 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 ar We Looking? The measurement of a processing unit by a ergod! ic gauge, utilise by a haphazard operator, at a random point in while is both: Accurate & Precise 6/2004 8 5 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:
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