Multiple dependent repetitive group sampling plan for Marshall-Olkin logistic-exponential distribution assuring percentile lifetime with applications

AbstractAcceptance sampling plans are commonly utilized for planning, process control, and implementation of industrial data sets. In addition to this, they also provide a solution for process quality control. They could be used for executing a decision for acceptance or rejection of a lot. A good a...

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Main Authors: Ayesha Awais, Nadia Saeed, Moustafa Omar Ahmed Abu-Shawiesh, Rehan Ahmad Khan Sherwani, Hina Khan, Firas Haddad
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Arab Journal of Basic and Applied Sciences
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/25765299.2023.2278847
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author Ayesha Awais
Nadia Saeed
Moustafa Omar Ahmed Abu-Shawiesh
Rehan Ahmad Khan Sherwani
Hina Khan
Firas Haddad
author_facet Ayesha Awais
Nadia Saeed
Moustafa Omar Ahmed Abu-Shawiesh
Rehan Ahmad Khan Sherwani
Hina Khan
Firas Haddad
author_sort Ayesha Awais
collection DOAJ
description AbstractAcceptance sampling plans are commonly utilized for planning, process control, and implementation of industrial data sets. In addition to this, they also provide a solution for process quality control. They could be used for executing a decision for acceptance or rejection of a lot. A good acceptance sampling plan can be formulated depending on the requirements of the project. Usually, the plan should follow a defined lifetime distribution. Hence, the appropriate plan would not only determine the plan parameters but would also be cost and time efficient. In this article, an attribute multiple dependent repetitive group sampling (MDRGS) plan is developed assuming that the lifetime of the product follows the Marshall-Olkin logistic-exponential (MOLE) distribution. The parameters of plan are examined by considering a two-point approach. The suggested plan is contrasted with the single sampling and repeated group sampling plans. Finally, the implementation of the proposed plan is discussed using industrial as well as simulated data sets. It is concluded that the proposed plan reduces the sampling inspection cost and time as compared to existing acceptance sampling plans.
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spelling doaj.art-bd6133152dfe401ead332ca429f2b7052023-11-11T05:53:03ZengTaylor & Francis GroupArab Journal of Basic and Applied Sciences2576-52992023-12-0130165066410.1080/25765299.2023.2278847Multiple dependent repetitive group sampling plan for Marshall-Olkin logistic-exponential distribution assuring percentile lifetime with applicationsAyesha Awais0Nadia Saeed1Moustafa Omar Ahmed Abu-Shawiesh2Rehan Ahmad Khan Sherwani3Hina Khan4Firas Haddad5College of Statistical Sciences, University of the Punjab, Lahore, PakistanCollege of Statistical Sciences, University of the Punjab, Lahore, PakistanDepartment of Mathematics, Faculty of Science, The Hashemite University (HU), Zarqa, JordanCollege of Statistical Sciences, University of the Punjab, Lahore, PakistanDepartment of Statistics, GC University, Lahore, PakistanDepartment of General Courses, Faculty of Applied Studies and Community Service, Imam Abdulrahman bin Faisal University, Dammam, Saudi ArabiaAbstractAcceptance sampling plans are commonly utilized for planning, process control, and implementation of industrial data sets. In addition to this, they also provide a solution for process quality control. They could be used for executing a decision for acceptance or rejection of a lot. A good acceptance sampling plan can be formulated depending on the requirements of the project. Usually, the plan should follow a defined lifetime distribution. Hence, the appropriate plan would not only determine the plan parameters but would also be cost and time efficient. In this article, an attribute multiple dependent repetitive group sampling (MDRGS) plan is developed assuming that the lifetime of the product follows the Marshall-Olkin logistic-exponential (MOLE) distribution. The parameters of plan are examined by considering a two-point approach. The suggested plan is contrasted with the single sampling and repeated group sampling plans. Finally, the implementation of the proposed plan is discussed using industrial as well as simulated data sets. It is concluded that the proposed plan reduces the sampling inspection cost and time as compared to existing acceptance sampling plans.https://www.tandfonline.com/doi/10.1080/25765299.2023.2278847Average Sample Number (ASN)Acceptance sampling planOperating Characteristic (OC) Function
spellingShingle Ayesha Awais
Nadia Saeed
Moustafa Omar Ahmed Abu-Shawiesh
Rehan Ahmad Khan Sherwani
Hina Khan
Firas Haddad
Multiple dependent repetitive group sampling plan for Marshall-Olkin logistic-exponential distribution assuring percentile lifetime with applications
Arab Journal of Basic and Applied Sciences
Average Sample Number (ASN)
Acceptance sampling plan
Operating Characteristic (OC) Function
title Multiple dependent repetitive group sampling plan for Marshall-Olkin logistic-exponential distribution assuring percentile lifetime with applications
title_full Multiple dependent repetitive group sampling plan for Marshall-Olkin logistic-exponential distribution assuring percentile lifetime with applications
title_fullStr Multiple dependent repetitive group sampling plan for Marshall-Olkin logistic-exponential distribution assuring percentile lifetime with applications
title_full_unstemmed Multiple dependent repetitive group sampling plan for Marshall-Olkin logistic-exponential distribution assuring percentile lifetime with applications
title_short Multiple dependent repetitive group sampling plan for Marshall-Olkin logistic-exponential distribution assuring percentile lifetime with applications
title_sort multiple dependent repetitive group sampling plan for marshall olkin logistic exponential distribution assuring percentile lifetime with applications
topic Average Sample Number (ASN)
Acceptance sampling plan
Operating Characteristic (OC) Function
url https://www.tandfonline.com/doi/10.1080/25765299.2023.2278847
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