Generalized Multiple Dependent State Sampling Plans in Presence of Measurement Data
This article introduces a generalized version of the multiple dependent state sampling plan based on the measurement data, that is, when the quality characteristic is measured in a numerical scale. The conditions of application and the operating procedures of the proposed plan are discussed sequenti...
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doaj-955e506c3c7547a784aaf7adae3d4f6d2021-03-30T03:22:04ZengIEEEIEEE Access2169-35362020-01-01816277516278410.1109/ACCESS.2020.30215049186020Generalized Multiple Dependent State Sampling Plans in Presence of Measurement DataRitwik Bhattacharya0https://orcid.org/0000-0003-4732-7994Muhammad Aslam1https://orcid.org/0000-0003-0644-1950School of Engineering and Science, Tecnológico de Monterrey, Monterrey, MexicoDepartment of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi ArabiaThis article introduces a generalized version of the multiple dependent state sampling plan based on the measurement data, that is, when the quality characteristic is measured in a numerical scale. The conditions of application and the operating procedures of the proposed plan are discussed sequentially. A few important performance measures, such as operating characteristic curve, average total inspection and average sample number, are developed. The advantage of the proposed plan over the multiple dependent state sampling and single sampling plan is demonstrated through numerical example. Finally, one real-life data set is analyzed to illustrate the application of the proposed sampling plan.https://ieeexplore.ieee.org/document/9186020/Consumer’s riskhybrid censoringlife-testingproducer’s riskquality controlreliability sampling plan |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ritwik Bhattacharya Muhammad Aslam |
spellingShingle |
Ritwik Bhattacharya Muhammad Aslam Generalized Multiple Dependent State Sampling Plans in Presence of Measurement Data IEEE Access Consumer’s risk hybrid censoring life-testing producer’s risk quality control reliability sampling plan |
author_facet |
Ritwik Bhattacharya Muhammad Aslam |
author_sort |
Ritwik Bhattacharya |
title |
Generalized Multiple Dependent State Sampling Plans in Presence of Measurement Data |
title_short |
Generalized Multiple Dependent State Sampling Plans in Presence of Measurement Data |
title_full |
Generalized Multiple Dependent State Sampling Plans in Presence of Measurement Data |
title_fullStr |
Generalized Multiple Dependent State Sampling Plans in Presence of Measurement Data |
title_full_unstemmed |
Generalized Multiple Dependent State Sampling Plans in Presence of Measurement Data |
title_sort |
generalized multiple dependent state sampling plans in presence of measurement data |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
This article introduces a generalized version of the multiple dependent state sampling plan based on the measurement data, that is, when the quality characteristic is measured in a numerical scale. The conditions of application and the operating procedures of the proposed plan are discussed sequentially. A few important performance measures, such as operating characteristic curve, average total inspection and average sample number, are developed. The advantage of the proposed plan over the multiple dependent state sampling and single sampling plan is demonstrated through numerical example. Finally, one real-life data set is analyzed to illustrate the application of the proposed sampling plan. |
topic |
Consumer’s risk hybrid censoring life-testing producer’s risk quality control reliability sampling plan |
url |
https://ieeexplore.ieee.org/document/9186020/ |
work_keys_str_mv |
AT ritwikbhattacharya generalizedmultipledependentstatesamplingplansinpresenceofmeasurementdata AT muhammadaslam generalizedmultipledependentstatesamplingplansinpresenceofmeasurementdata |
_version_ |
1724183663579496448 |