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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Main Author: Magdalena Lucia Ginting
Other Authors: Wu Zhang
Format: Final Year Project
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/16241
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Systems engineering
DRNTU::Engineering::Manufacturing::Quality control
spellingShingle DRNTU::Engineering::Systems engineering
DRNTU::Engineering::Manufacturing::Quality control
Magdalena Lucia Ginting
Optimization design of the cumulative sum (CUSUM) control chart
description 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