Seminar Donlewis

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 boot To enable knob organizations to improve their competitive performance through effective industry of quantitative decision-making initiatives & methodologies, such as vi Sigma. 6/2004 2  video display Outline What is the surface with respect to the measure solve in Six Sigma projects? What is our mindset with respect to measurement process quality? How do we go about accomplishing it? Take a look at some 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 outrank 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 onslaught to trouble-Solving MEASUREMENT Business Business Problem Problem statistical Statistical Problem Problem Business Business solving base 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 pro cessing unit by a stochastic gauge, utilis! e by a ergodic operator, at a random point in metre is both: Accurate & Precise 6/2004 8  fin 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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