scholarly journals Odd generalized exponential log logistic distribution: A new acceptance sampling plans based on percentiles

2019 ◽  
Vol 8 (3) ◽  
pp. 176
Author(s):  
Srinivasa Rao Gadde ◽  
K. Rosaiah ◽  
D. C. U. Sivakumar ◽  
K. Kalyani
Keyword(s):  
Operating Characteristic ◽  
Real Data ◽  
Logistic Distribution ◽  
Acceptance Sampling ◽  
Consumer’S Risk ◽  
Producer’S Risk ◽  
Data Set ◽  
Sampling Plans ◽  
Acceptance Sampling Plans ◽  
Characteristic Values

<span>In this paper, acceptance sampling plans are developed for the odd generalized exponential log logistic distribution based on percentiles when the life test is truncated at a pre-specified (pre-determined) time. The minimum sample size necessary to ensure the specified life percentile is obtained under a given consumer’s risk. The operating characteristic values of the sampling plans as well as the producer’s risk are presented. One example with real data set is also given as an illustration.</span>

scholarly journals A New Acceptance Sampling Plans Based on Percentiles for Odds Exponential Log Logistic Distribution

2016 ◽  
Vol 7 (1) ◽  
pp. 45-52 ◽  
Author(s):  
G.S. Rao ◽  
K. Rosaiah ◽  
K. Kalyani ◽  
D.C.U. Sivakumar
Keyword(s):  
Operating Characteristic ◽  
Real Data ◽  
Logistic Distribution ◽  
Acceptance Sampling ◽  
Producer’S Risk ◽  
Data Set ◽  
Sampling Plans ◽  
Acceptance Sampling Plans ◽  
Characteristic Values ◽  
Predetermined Time

In this paper, acceptance sampling plans are developed for the odds exponential log logistic distribution (OELLD) introduced by Rosaiah et al. [1] based on lifetime percentiles when the life test is truncated at a predetermined time. The minimum sample size necessary to ensure the specified lifetime percentile is obtained under a given customer’s risk. The operating characteristic values of the sampling plans as well as the producer’s risk are presented. One example with real data set is also given as an illustration.

New Acceptance Sampling Plans Based on Percentiles for Exponentiated Fréchet Distribution

2016 ◽  
Vol 31 (1) ◽  
Author(s):  
Gadde Srinivasa Rao ◽  
Kanaparthi Rosaiah ◽  
Mothukuri Sridhar Babu ◽  
Devireddy Charanaudaya Sivakumar
Keyword(s):  
Operating Characteristic ◽  
Real Data ◽  
Acceptance Sampling ◽  
Producer’S Risk ◽  
Data Set ◽  
Sampling Plans ◽  
Fréchet Distribution ◽  
Acceptance Sampling Plans ◽  
Characteristic Values ◽  
Frechet Distribution

AbstractIn this article, acceptance sampling plans are developed for the exponentiated Fréchet distribution based on percentiles when the life test is truncated at a pre-specified time. The minimum sample size necessary to ensure the specified life percentile is obtained under a given customer's risk and producer's risk simultaneously. The operating characteristic values of the sampling plans are presented. One example with real data set is also given as an illustration.

ACCEPTANCE SAMPLING PLANS FOR PERCENTILES OF HALF LOGISTIC DISTRIBUTION

2013 ◽  
Vol 20 (05) ◽  
pp. 1350016 ◽  
Author(s):  
B. SRINIVASA RAO ◽  
R. R. L. KANTAM
Keyword(s):  
Sample Size ◽  
Operating Characteristic ◽  
Logistic Distribution ◽  
Acceptance Sampling ◽  
Minimum Sample Size ◽  
Life Test ◽  
Sampling Plans ◽  
Acceptance Sampling Plans ◽  
Characteristic Values ◽  
Minimum Sample

In this article, acceptance sampling plans are developed for the half logistic distribution percentiles when the life test is truncated at a pre-specified time. The minimum sample size necessary to ensure the specified life percentile is obtained under a given consumerś risk. The operating characteristic values of the sampling plans as well as the producerś risk are presented.

Group acceptance sampling plans based on time truncated life tests for compound Weibull-exponential distribution

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayten Yiğiter ◽  
Canan Hamurkaroğlu ◽  
Nazan Danacıoğlu
Keyword(s):  
Acceptance Sampling ◽  
Type I ◽  
Consumer’S Risk ◽  
Producer’S Risk ◽  
Data Set ◽  
Sampling Plans ◽  
Content Type ◽  
Acceptance Sampling Plans ◽  
Life Tests ◽  
Group Acceptance

PurposeAcceptance sampling plans are a decision-making process on the basis of a randomly selected sampling from a party, where it is not possible to completely scan the products for reasons such as time and cost being limited or the formation of damaged products during the inspection. For some products, the life span (time from beginning to failure) may be an important quality characteristic. In this case, the quality control adequacy of the products can be checked with an acceptance sampling plan based on the truncated life test with a censored scheme for the lifetime of the products. In this study, group acceptance sampling plans (GASPs) based on life tests are studied under the Type-I censored scheme for the compound Weibull-exponential (CWE) distribution.Design/methodology/approachGASPs based on life tests under the Type-I censored scheme for the CWE distribution are developed by using both the producer's risk and the consumer's risk.FindingsIn this study, optimum sample size, optimum number of groups and acceptance number are obtained under the Type-I censored scheme for the CWE distribution. Real data set illustration is given to show GASPs how to be used for the industry applications.Originality/valueDifferent from acceptance sampling plans with just considering the producer's risk, GASPs are constructed by using two-point approach included both the producer's risk and the consumer's risk for CWE distribution.

THE DESIGNS OF ACCEPTANCE SAMPLING FOR STRENGTH DISTRIBUTIONS WITH PERCENTILES

2012 ◽  
Vol 19 (01) ◽  
pp. 1250004
Author(s):  
Y. L. LIO ◽  
TZONG-RU TSAI ◽  
SHUO-JYE WU
Keyword(s):  
Breaking Strength ◽  
Numerical Study ◽  
Real Data ◽  
Acceptance Sampling ◽  
Data Set ◽  
Sampling Plans ◽  
Failure Times ◽  
Acceptance Sampling Plans ◽  
Manufacturing Applications

In material manufacturing applications, the lower percentiles of breaking strength of products contain critical reliability information. To promote the quality of product, it is important to ensure the lower percentiles of product breaking strength meet a satisfactory level. In this paper, two acceptance sampling plans are developed based on the percentiles of Weibull distribution and lognormal distribution with truncated life testing samples. An algorithm is provided to obtain acceptance sampling plans under the specified points of producer's risk and consumer's risk. Some tables are presented for numerical study, and an example of real data set regarding the first failure times of small electric carts used for internal transportation and delivery is provided for illustration.

Acceptance Sampling Plans for Percentiles Assuming the Linear Failure Rate Distribution

2014 ◽  
Vol 0 (0) ◽  
Author(s):  
B. Srinivasa Rao ◽  
M. Ch. Priya ◽  
R. R. L. Kantam
Keyword(s):  
Sample Size ◽  
Failure Rate ◽  
Operating Characteristic ◽  
Acceptance Sampling ◽  
Minimum Sample Size ◽  
Life Test ◽  
Sampling Plans ◽  
Rate Distribution ◽  
Acceptance Sampling Plans ◽  
Characteristic Values

AbstractIn this article , acceptance sampling plans are developed for the Linear Failure Rate Distribution percentiles when the life test is truncated at a pre-specified time. The minimum sample size necessary to ensure the specified life percentile is obtained under a given consumerś risk. The operating characteristic values of the sampling plans as well as the producerś risk are presented.

Acceptance sampling plans based on truncated life tests for Rama distribution

2019 ◽  
Vol 36 (7) ◽  
pp. 1181-1191 ◽  
Author(s):  
Amer Al-Omari ◽  
Amjad Al-Nasser ◽  
Enrico Ciavolino
Keyword(s):  
Life Time ◽  
Real Data ◽  
Acceptance Sampling ◽  
Data Set ◽  
Sampling Plans ◽  
Content Type ◽  
Acceptance Sampling Plans ◽  
Industry Applications ◽  
The Mean ◽  
Engineering Insurance

Purpose Lifetime data are used in many different applied sciences, like biomedicine, engineering, insurance and finance and others. The purpose of this paper is to develop a new acceptance sampling plans for Rama distribution when the mean lifetime test is truncated at a pre-determined time. The minimum sample sizes required to assert the specified life mean is obtained for a given customer’s risk. The operating characteristic function values of the sampling plans and producer’s risk are calculated. Design/methodology/approach The results are illustrated using numerical examples and a real data set is considered to illustrate the performance of the suggested acceptance sampling plans and how it can be used for the industry applications. Findings This paper shows a new acceptance sampling plans based on Rama distribution in the particular case when the mean life time test is truncated. Originality/value The results calculated in this paper demonstrate the differences between OC values for different distributions taken into account. In particular, OC values of Rama distribution are found to be less than the proposed distribution counterparts.

scholarly journals Acceptance Sampling Plans from Life Tests Based on Percentiles of New Weibull–Pareto Distribution with Application to Breaking Stress of Carbon Fibers Data

Processes ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 2041
Author(s):  
Mansour Shrahili ◽  
Amer I. Al-Omari ◽  
Naif Alotaibi
Keyword(s):  
Carbon Fibers ◽  
Pareto Distribution ◽  
Real Data ◽  
Breaking Stress ◽  
Acceptance Sampling ◽  
Data Set ◽  
Sampling Plans ◽  
Operating Characteristic Function ◽  
Acceptance Sampling Plans ◽  
Life Tests

In this paper, acceptance sampling plans (ASPs) are proposed for the new Weibull-Pareto distribution (NWPD) percentiles assuming truncated life tests at a pre-determined time. The minimum sample sizes essential to assert the specified percentile are calculated for a given consumer’s risk. The operating characteristic function values of the developed ASPs and producer’s risk are provided. A real data set related to the breaking stress of carbon fibers data are presented for illustration.

scholarly journals Acceptance Sampling Plans for Finite and Infinite Lot Size under Power Lindley Distribution

Symmetry ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 496
Author(s):  
Saman Shahbaz ◽  
Khushnoor Khan ◽  
Muhammad Shahbaz
Keyword(s):  
Operating Characteristic ◽  
Acceptance Sampling ◽  
Lot Size ◽  
Characteristic Curves ◽  
Sampling Plans ◽  
Lindley Distribution ◽  
Product Life ◽  
Power Lindley Distribution ◽  
Acceptance Sampling Plans ◽  
Lot Sizes

In this paper, we have developed single and double acceptance sampling plans when the product life length follows the power Lindley distribution. The sampling plans have been developed by assuming infinite and finite lot sizes. We have obtained the operating characteristic curves for the resultant sampling plans. The sampling plans have been obtained for various values of the parameters. It has been found that for a finite lot size, the sampling plans provide smaller values of the parameters to achieve the specified acceptance probabilities.

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