Advisor | Carolan, Christopher (Christopher A.) | en_US |
Author | Croskery, Thomas | en_US |
Date Accessioned | 2014-06-15T15:30:02Z | |
Date Available | 2014-06-15T15:30:02Z | |
Date of Issue | 2014 | en_US |
Identifier (URI) | http://hdl.handle.net/10342/4405 | |
Description | In statistical process control, control charts are one tool for monitoring the control status of a process. One such type of chart is the cumulative sum (CUSUM) chart which has advantages over other styles of control chart. A study of the economic design of CUSUM control charts is undertaken via a comparative study of long-run hourly cost (LRHC) and a computational search algorithm is used to minimize LRHC for a CUSUM chart using nine parameters confined to their respective feasible parameter spaces as defined by the chart designer. Savings over similarly designed two stage Xbar charts are discovered and presented. | en_US |
Extent | 66 p. | en_US |
Format Medium | dissertations, academic | en_US |
Language | | en_US |
Publisher | East Carolina University | en_US |
Subject | Mathematics | en_US |
Subject | Statistics | en_US |
Subject | Control charts | en_US |
Subject | CUSUM | en_US |
Subject | Economic design | en_US |
Subject | Long run hourly cost | en_US |
Subject | Markov model | en_US |
Subject | Search algorithm | en_US |
Library of Congress Subject Headings | Mathematical statistics--Research | |
Library of Congress Subject Headings | Process control--Statistical methods--Research | |
Library of Congress Subject Headings | CUSUM technique | |
Title | Economic Design of CUSUM Control Charts | en_US |
Type | Master's Thesis | en_US |
Department | Mathematics | en_US |
Degree | M.A. | en_US |