PPT-A Flexible Statistical Control Chart

Author : cheryl-pisano | Published Date : 2018-11-04

for Dispersed Count Data Kimberly F Sellers PhD Department of Mathematics and Statistics Georgetown University Presentation Outline Background distributions and

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A Flexible Statistical Control Chart: Transcript


for Dispersed Count Data Kimberly F Sellers PhD Department of Mathematics and Statistics Georgetown University Presentation Outline Background distributions and properties Poisson distribution. 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. Process . Control. W. Edwards Deming . The . main message of . Deming’s 14 items list . is that poor . quality occurs . as a result of the system and so should be corrected by the . management.. Deming . 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.. / . 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. 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 . After careful study of this chapter, you should be able to do the following:. Understand the role of statistical tools in quality improvement.. Understand the different types of variability, rational subgroups, and how a control chart is used to detect assignable causes.. 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 . Quality and Performance. Quality. A . term used by customers to describe their general satisfaction with a service or . product. Defect. Any instance when a process fails to satisfy its customer. Costs of Quality. Dr.. Raghu . Nandan. . Sengupta. Professor. Department of Industrial and Management Engineering. All figures are taken from(unless otherwise mentioned): . Introduction to Statistical process Control . 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.

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