scholarly journals Group Acceptance Sampling Plan Using Marshall–Olkin Kumaraswamy Exponential (MOKw-E) Distribution

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 1066
Author(s):  
Abdullah M. Almarashi ◽  
Khushnoor Khan ◽  
Christophe Chesneau ◽  
Farrukh Jamal
Keyword(s):  
Probability Distributions ◽  
Sampling Plan ◽  
Design Parameters ◽  
Future Research ◽  
Quality Level ◽  
Acceptance Sampling ◽  
Average Life ◽  
Real World Data ◽  
Acceptance Sampling Plan ◽  
Group Acceptance

The current research concerns the group acceptance sampling plan in the case where (i) the lifetime of the items follows the Marshall–Olkin Kumaraswamy exponential distribution (MOKw-E) and (ii) a large number of items, considered as a group, can be tested at the same time. When the consumer’s risk and the test terminsation period are defined, the key design parameters are extracted. The values of the operating characteristic function are determined for different quality levels. At the specified producer’s risk, the minimum ratios of the true average life to the specified average life are also calculated. The results of the present study will set the platform for future research on various nano quality level topics when the items follow different probability distributions under the Marshall–Olkin Kumaraswamy scheme. Real-world data are used to explain the technique.

scholarly journals Group Acceptance Sampling Plans for Lifetimes Following an Exponentiated Fréchet Distribution

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
G. Srinivasa Rao ◽  
K. Rosaiah ◽  
M. Sridhar Babu
Keyword(s):  
Sampling Plan ◽  
Design Parameters ◽  
Acceptance Sampling ◽  
Fréchet Distribution ◽  
Acceptance Sampling Plan ◽  
Acceptance Sampling Plans ◽  
Truncated Life Test ◽  
Frechet Distribution ◽  
Termination Time ◽  
Group Acceptance

In this article, a group acceptance sampling plan is developed for exponentiated Fréchet distribution based on truncated lifetime with a known shape parameters. A group acceptance sampling plan for a truncated life test is proposed when a multiple number of items as a group can be tested simultaneously in a tester. The design parameters such as the number of groups and the acceptance number are determined using the two-point approach by satisfying the producer’s and the consumer’s risks at the specified quality levels, while the termination time and the number of testers are specified. The results are explained with tables and examples.

scholarly journals Group Acceptance Sampling Plans for Resubmitted Lots UnderType II Generalized Half Logistic Distribution

2020 ◽  
Vol 12 (3) ◽  
pp. 311-325
Author(s):  
G. S. Rao ◽  
S. Jilani ◽  
A. V. Rao
Keyword(s):  
Sampling Plan ◽  
Design Parameters ◽  
Logistic Distribution ◽  
Acceptance Sampling ◽  
Data Set ◽  
Research Article ◽  
Acceptance Sampling Plan ◽  
Acceptance Sampling Plans ◽  
Termination Time ◽  
Group Acceptance

In this research article, we build-up a group acceptance sampling plan (GASP) for a resubmitting lot when the lifetime of a product follow the  Type II Generalized half-logistic distribution (GHLD).  The design parameters of the group acceptance sampling plan for the resubmitted are determined by fixing the experiment termination time and the numbers of testers at the stated producer’s and consumer’s risks both satisfy at the same time. We contrast the proposed GASP with the ordinary group sampling plan and the results are demonstrated with a live data set.  

Group acceptance sampling plan for resubmitted lots based on life tests for odds exponential log logistic distribution

2017 ◽  
Vol 34 (8) ◽  
pp. 1343-1351 ◽  
Author(s):  
Rosaiah K. ◽  
Srinivasa Rao Gadde ◽  
Kalyani K. ◽  
Sivakumar D.C.U.
Keyword(s):  
Group Size ◽  
Sampling Plan ◽  
Logistic Distribution ◽  
Acceptance Sampling ◽  
Consumer’S Risk ◽  
Content Type ◽  
Acceptance Sampling Plan ◽  
Minimum Group ◽  
Termination Time ◽  
Group Acceptance

Purpose The purpose of this paper is to develop a group acceptance sampling plan (GASP) for a resubmitted lot when the lifetime of a product follows odds exponential log logistic distribution introduced by Rao and Rao (2014). The parameters of the proposed plan such as minimum group size and acceptance number are determined for a pre-specified consumer’s risk, number of testers and the test termination time. The authors compare the proposed plan with the ordinary GASP, and the results are illustrated with live data example. Design/methodology/approach The parameters of the proposed plan such as minimum group size and acceptance number are determined for a pre-specified consumer’s risk, number of testers and the test termination time. Findings The authors determined the group size and acceptance number. Research limitations/implications No specific limitations. Practical implications This methodology can be applicable in industry to study quality control. Social implications This methodology can be applicable in health study. Originality/value The parameters of the proposed plan such as minimum group size and acceptance number are determined for a pre-specified consumer’s risk, number of testers and the test termination time.

scholarly journals THE ODD GENERALIZED EXPONENTIAL LOG-LOGISTIC DISTRIBUTION GROUP ACCEPTANCE SAMPLING PLAN

2019 ◽  
Vol 20 (1) ◽  
pp. 103-116
Author(s):  
Devireddy Charana Udaya Sivakumar ◽  
Rosaiah Kanaparthi ◽  
Gadde Srinivasa Rao ◽  
Kruthiventi Kalyani
Keyword(s):  
Sampling Plan ◽  
Logistic Distribution ◽  
Acceptance Sampling ◽  
Acceptance Sampling Plan ◽  
Group Acceptance

A new economical scheme of acceptance sampling plan in a two-stage approach based on the maxima nomination sampling technique

2016 ◽  
Vol 39 (7) ◽  
pp. 1097-1103 ◽  
Author(s):  
MS Fallahnezhad ◽  
E Qazvini
Keyword(s):  
Sampling Technique ◽  
Sampling Plan ◽  
Quality Level ◽  
Acceptance Sampling ◽  
Two Stage ◽  
Sampling Inspection ◽  
Assurance System ◽  
Economical Design ◽  
Acceptance Sampling Plan ◽  
Proposed Model

An acceptance sampling plan plays a very important role in any quality assurance system. In this new economical design of acceptance sampling plan, three types of costs are included in the objective function by considering average outgoing quality limit (AOQL), average quality level (AQL) and lot tolerance percent defective (LTPD) constraints based on the maxima nomination sampling (MNS) method in a two-stage approach. The design of this sampling inspection plan involves the minimum average total inspection (ATI). The model is designed to minimize the summation of costs and the proposed MNS economical sampling plan is compared with the classical one. Practitioners can use the proposed model to decrease the total cost of inspection.

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