Optimization design of the cumulative sum (CUSUM) control chart
This project proposed the optimization design of the Cumulative Sum (CUSUM) control chart by finding the minimum value of the loss function L value. It is achieved by optimizing two of the CUSUM parameters: sample size n and reference value k. Two kinds of CUSUM control charts will be compared: c...
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2009
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sg-ntu-dr.10356-162412023-03-04T19:06:10Z Optimization design of the cumulative sum (CUSUM) control chart Magdalena Lucia Ginting Wu Zhang School of Mechanical and Aerospace Engineering DRNTU::Engineering::Systems engineering DRNTU::Engineering::Manufacturing::Quality control This project proposed the optimization design of the Cumulative Sum (CUSUM) control chart by finding the minimum value of the loss function L value. It is achieved by optimizing two of the CUSUM parameters: sample size n and reference value k. Two kinds of CUSUM control charts will be compared: conventional and optimal CUSUM control charts. These comparisons are based on each loss function L value resulted and the performance of each Average Time to Signal (ATS) value at different mean shifts (µ). In order to show these comparisons between these two kinds of CUSUM control charts, there will be two numerical cases representing the applications of these CUSUM control charts. Two C programs are written: program for the design of the optimal CUSUM control chart and program for the design of the conventional CUSUM control chart. The results of this project will provide an effective and workable CUSUM control chart in assisting statistical process control. Bachelor of Engineering 2009-05-22T07:58:08Z 2009-05-22T07:58:08Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/16241 en Nanyang Technological University 64 p. application/pdf |
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DRNTU::Engineering::Systems engineering DRNTU::Engineering::Manufacturing::Quality control Magdalena Lucia Ginting Optimization design of the cumulative sum (CUSUM) control chart |
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This project proposed the optimization design of the Cumulative Sum (CUSUM) control chart by finding the minimum value of the loss function L value. It is achieved by optimizing two of the CUSUM parameters: sample size n and reference value k.
Two kinds of CUSUM control charts will be compared: conventional and optimal CUSUM control charts. These comparisons are based on each loss function L value resulted and the performance of each Average Time to Signal (ATS) value at different mean shifts (µ). In order to show these comparisons between these two kinds of CUSUM control charts, there will be two numerical cases representing the applications of these CUSUM control charts.
Two C programs are written: program for the design of the optimal CUSUM control chart and program for the design of the conventional CUSUM control chart.
The results of this project will provide an effective and workable CUSUM control chart in assisting statistical process control. |
author2 |
Wu Zhang |
author_facet |
Wu Zhang Magdalena Lucia Ginting |
format |
Final Year Project |
author |
Magdalena Lucia Ginting |
author_sort |
Magdalena Lucia Ginting |
title |
Optimization design of the cumulative sum (CUSUM) control chart |
title_short |
Optimization design of the cumulative sum (CUSUM) control chart |
title_full |
Optimization design of the cumulative sum (CUSUM) control chart |
title_fullStr |
Optimization design of the cumulative sum (CUSUM) control chart |
title_full_unstemmed |
Optimization design of the cumulative sum (CUSUM) control chart |
title_sort |
optimization design of the cumulative sum (cusum) control chart |
publishDate |
2009 |
url |
http://hdl.handle.net/10356/16241 |
_version_ |
1759855995209646080 |