PPT-Attribute Control Chart

Dr Raghu Nandan Sengupta Professor Department of Industrial and Management Engineering All figures are taken fromunless otherwise mentioned Introduction to Statistical process Control . ASQ Portland Section 0607. By Ed Landauer, C.Q.E., P.E. . November 13, 2012. Short Run SPC. What it is. What it isn’t. SPC is not intended to be a substitute for inspection and testing. Programs such as JIT make Short Run SPC more common. 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. 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.. PowerPoint presentation to accompany . Heizer and Render . Operations Management, 10e . Principles of Operations Management, 8e. PowerPoint slides by Jeff Heyl. Outline. Defining . Quality. Implications of Quality. / . CBE 433. 3 Dec 2012. 1. Statistical Process Control. World Class Quality . (Shewhart..1960). “On-Target with Minimum Variance.”. Operating “On-Target” requires a different way of thinking about our processes.. 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 . for . Dispersed Count . Data. Kimberly F. Sellers, Ph.D.. Department of Mathematics and Statistics. Georgetown University . Presentation Outline. Background distributions and properties. Poisson distribution. n+k. . 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 . 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.