PPT-Statistical Process Control

Operations Management Dr Ron Lembke Designed Size 10 11 12 13 14 15 16 17 18 19 20 Natural Variation 145 146 147 148 149 150 151 152 153 . By Keith M Bower Some of the most widelyused form of control charts are X R charts and Individuals charts These are frequently referred to as Shewhart charts after the control charting pioneer Walter Shewhart who originated such techniques These cha 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.. for . Dispersed Count . Data. Kimberly F. Sellers, Ph.D.. Department of Mathematics and Statistics. Georgetown University . Presentation Outline. Background distributions and properties. Poisson distribution. School of Industrial and Systems Engineering. Georgia Institute of Technology. Quality Improvement: . from Autos and Chips to Nano and Bio. Legacies of . Shewhart. and Deming.. Quality improvement via robust parameter design: . 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.. Bob Marshall, MD MPH MISM FAAFP. Faculty, DoD Clinical Informatics Fellowship. Objectives. Scientific Management – as a management and process improvement tool/methodology . Discuss two other previously uncovered methods of Process Improvement:. 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. Introduction. A cloth whose weaving is not proper and uniform.. A matchstick whose . sulphur. is missing.. A glass with air bubble in it.. Look at the below products.. When you look at the above products, it is very clear that they are defective.. 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.