Development Of Variable Sampling Interval Run Sum T Chart And Triple Sampling X ̅ Chart With Estimated Process Parameters

The Shewhart x ̅ control chart is a useful chart in process monitoring. However, the Shewhart x ̅ chart’s performance is significantly affected if the process standard deviation is erroneously estimated. To circumvent this problem, the t chart is commonly used as an alternative to the Shewhart x...

Full description

Saved in:
Bibliographic Details
Main Author: Nahar Mim, Faijun
Format: Thesis
Language:English
Published: 2022
Subjects:
Online Access:http://eprints.usm.my/59156/1/24%20Pages%20from%20FAIJUN%20NAHAR%20MIM%20-%20TESIS.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-usm-ep.59156
record_format uketd_dc
spelling my-usm-ep.591562023-08-17T01:16:05Z Development Of Variable Sampling Interval Run Sum T Chart And Triple Sampling X ̅ Chart With Estimated Process Parameters 2022-03 Nahar Mim, Faijun QA1 Mathematics (General) The Shewhart x ̅ control chart is a useful chart in process monitoring. However, the Shewhart x ̅ chart’s performance is significantly affected if the process standard deviation is erroneously estimated. To circumvent this problem, the t chart is commonly used as an alternative to the Shewhart x ̅ chart. The first and second objectives of this thesis aim at enhancing the performance of the basic t chart by proposing the variable sampling interval run sum (VSI RS) t charts for monitoring the mean of a process from a normal distribution, based on known and estimated process mean, respectively. The Markov chain technique is used to compute the optimal parameters for the new charts. 2022-03 Thesis http://eprints.usm.my/59156/ http://eprints.usm.my/59156/1/24%20Pages%20from%20FAIJUN%20NAHAR%20MIM%20-%20TESIS.pdf application/pdf en public phd doctoral Perpustakaan Hamzah Sendut Pusat Pengajian Sains Matematik
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic QA1 Mathematics (General)
spellingShingle QA1 Mathematics (General)
Nahar Mim, Faijun
Development Of Variable Sampling Interval Run Sum T Chart And Triple Sampling X ̅ Chart With Estimated Process Parameters
description The Shewhart x ̅ control chart is a useful chart in process monitoring. However, the Shewhart x ̅ chart’s performance is significantly affected if the process standard deviation is erroneously estimated. To circumvent this problem, the t chart is commonly used as an alternative to the Shewhart x ̅ chart. The first and second objectives of this thesis aim at enhancing the performance of the basic t chart by proposing the variable sampling interval run sum (VSI RS) t charts for monitoring the mean of a process from a normal distribution, based on known and estimated process mean, respectively. The Markov chain technique is used to compute the optimal parameters for the new charts.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Nahar Mim, Faijun
author_facet Nahar Mim, Faijun
author_sort Nahar Mim, Faijun
title Development Of Variable Sampling Interval Run Sum T Chart And Triple Sampling X ̅ Chart With Estimated Process Parameters
title_short Development Of Variable Sampling Interval Run Sum T Chart And Triple Sampling X ̅ Chart With Estimated Process Parameters
title_full Development Of Variable Sampling Interval Run Sum T Chart And Triple Sampling X ̅ Chart With Estimated Process Parameters
title_fullStr Development Of Variable Sampling Interval Run Sum T Chart And Triple Sampling X ̅ Chart With Estimated Process Parameters
title_full_unstemmed Development Of Variable Sampling Interval Run Sum T Chart And Triple Sampling X ̅ Chart With Estimated Process Parameters
title_sort development of variable sampling interval run sum t chart and triple sampling x ̅ chart with estimated process parameters
granting_institution Perpustakaan Hamzah Sendut
granting_department Pusat Pengajian Sains Matematik
publishDate 2022
url http://eprints.usm.my/59156/1/24%20Pages%20from%20FAIJUN%20NAHAR%20MIM%20-%20TESIS.pdf
_version_ 1776101257950265344