PPT-CUSUM Control Chart comparison to “n out of

nk points as a new user rule option Dan Sutton Samsung Austin Semiconductor LLC ABSTRACT The CUSUM Control Chart has been shown to be sensitive to small shifts compared to standard . Managing . for Quality. Dr. Ron . Lembke. Goal of Control Charts. collect and present data visually. allow us to see when trend appears. see when “out of control” point occurs. Process Control Charts. (We also have comparison charts available for our Academic products and our SDK products for developers.) Analytic Solver Platform Risk Solver Platform Premium Solver Platform XLMiner Platform Analyti PowerPoint presentation to accompany . Heizer and Render . Operations Management, Eleventh Edition. Principles of Operations Management, Ninth Edition. PowerPoint slides by Jeff Heyl. 6. © 2014 Pearson Education, Inc.. Note: This chart compares the current rules with the restyled rules (to the subdivision level). For additional information, see the Committee Notes for specific rules. This chart does not include the for . Dispersed Count . Data. Kimberly F. Sellers, Ph.D.. Department of Mathematics and Statistics. Georgetown University . Presentation Outline. Background distributions and properties. Poisson distribution. Lessons Learned Along the Way. Why, What, and How. Stacie Hammack. Florida Department of Agriculture and Consumer Services. Food Laboratories. Why?. Because it is required: ISO/IEC 17025 section 5.9 with numerous additional requirements within the AOAC Guidelines for Laboratories performing Microbiological and Chemical Analyses of Food and Pharmaceuticals. Operations Management. Dr. . Ron . Lembke. Designed Size. 10 11 12 13 14 15 16 17 18 19 20. Natural Variation. 14.5 14.6 14.7 14.8 14.9 15.0 15.1 15.2 15.3 . Operations Management. Dr. . Ron . Lembke. Designed Size. 10 11 12 13 14 15 16 17 18 19 20. Natural Variation. 14.5 14.6 14.7 14.8 14.9 15.0 15.1 15.2 15.3 . Click Here . to Begin . Introduce Statistical Process Control. Understand the process of creating an X bar R Chart. Understand the methods used in monitoring SPC charts. Objectives:. Introduction. SPC. Operations Management. Dr. . Ron . Lembke. Designed Size. 10 11 12 13 14 15 16 17 18 19 20. Natural Variation. 14.5 14.6 14.7 14.8 14.9 15.0 15.1 15.2 15.3 . UCSF Transplant QI committee, Chair. UCSF . Dept. of Surgery QI committee. UCSF Clinical performance improvement committee, Chair. UCSF Patient . S. afety . C. ommittee. Former Chair, ASTS Standards and Quality committee. for . Dispersed Count . Data. Kimberly F. Sellers, Ph.D.. Department of Mathematics and Statistics. Georgetown University . Presentation Outline. Background distributions and properties. Poisson distribution. Dr.. Raghu . Nandan. . Sengupta. Professor. Department of Industrial and Management Engineering. All figures are taken from(unless otherwise mentioned): . Introduction to Statistical process Control . Raghu . Nandan. . Sengupta. Professor. Department of Industrial and Management Engineering. All figures are taken from(unless otherwise mentioned): . Introduction to Statistical process Control . Douglas. C Montgomery.