Development of multiple deferred state sampling plan based on minimum risks using the weighted Poisson distribution for given acceptance quality level and limiting quality level

Subramani, K.; Haridoss, Venugopal

doi:10.1504/ijqet.2012.049699

Cited by 21 publications

(5 citation statements)

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“…The proposed plan consists of parameters c 1 , c 2 , m and ASN is obtained by solving the non-linear programming problem in Equation (11) for β = {0.25, 0.10, 0.05}, α = 0.10, and a = 0.5, 1.0, and known I N is placed in Tables 1-8. Tables 1 and 2 show the GD for γ = 2, Tables 3 and 4 show the GD for γ = 2.5, Tables 5 and 6 for γ = 3, Tables 5 and 6 for γ = 3, and Tables 7 and 8 for γ = 1.…”

Section: Multiple Dependent State Sampling Plan Under Indeterminacymentioning

confidence: 99%

“…The methodology of the MDS sampling plan was pioneered by [7], and it is based on the attribute assessment procedure, which is based on one out of three situations, namely, acceptance of the lot, rejection of the lot, or the conditional acceptance or rejection of the lot based on the character of future related lots. Subsequently, several authors studied MDS sampling designs on various distributions, such as [8][9][10][11][12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

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Sampling Inspection Plan to Test Daily COVID-19 Cases Using Gamma Distribution under Indeterminacy Based on Multiple Dependent Scheme

Aslam

Rao

Albassam

2022

IJERPH

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The purpose of this paper is to develop a multiple dependent state (MDS) sampling plan based on time-truncated sampling schemes for the daily number of cases of the coronavirus disease COVID-19 using gamma distribution under indeterminacy. The proposed sampling scheme parameters include average sample number (ASN) and accept and reject sample numbers when the indeterminacy parameter is known. In addition to the parameters of the proposed sampling schemes, the resultant tables are provided for different known indeterminacy parametric values. The outcomes resulting from various sampling schemes show that the ASN decreases as indeterminacy values increase. This shows that the indeterminacy parameter plays a vital role for the ASN. A comparative study between the proposed sampling schemes and existing sampling schemes based on indeterminacy is also discussed. The projected sampling scheme is illustrated with the help of the daily number of cases of COVID-19 data. From the results and real example, we conclude that the proposed MDS sampling scheme under indeterminacy requires a smaller sample size compared to the single sampling plan (SSP) and the existing MDS sampling plan.

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Section: Multiple Dependent State Sampling Plan Under Indeterminacymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sampling Inspection Plan to Test Daily COVID-19 Cases Using Gamma Distribution under Indeterminacy Based on Multiple Dependent Scheme

Aslam

Rao

Albassam

2022

IJERPH

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“…Balamurali et al [24] investigated the MDSSP using Bayesian methodology. For more details on MDSSP, one may refer to Vaerst [25]; Soundararajan and Vijayaraghavan [26]; Subramani and Haridoss [27]; and Aslam et al [28]. Recently, the concept of MDS sampling has been used in control chart design.…”

Section: Multiple Dependent State Sampling Plans (Mdssps)mentioning

confidence: 99%

Design of Multiple Dependent State Sampling Plan Application for COVID‐19 Data Using Exponentiated Weibull Distribution

2021

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The proposed sampling plan in this article is referred to as multiple dependent state (MDS) sampling plans, for rejecting a lot based on properties of the current and preceding lot sampled. The median life of the product for the proposed sampling plan is assured based on a time-truncated life test, when a lifetime of the product follows exponentiated Weibull distribution (EWD). For the proposed plan, optimal parameters such as the number of preceding lots required for deciding whether to accept or reject the current lot, sample size, and rejection and acceptance numbers are obtained by the approach of two points on the operating characteristic curve (OC curve). Tables are constructed for various combinations of consumer and producer’s risks for various shape parameters. The proposed MDS sampling plan for EWD is demonstrated using the coronavirus (COVID-19) outbreak in China. The performance of the proposed sampling plan is compared with the existing single-sampling plan (SSP) when the quality of the product follows EWD.

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“…The selection of MDS sampling plans for given AQL and LQL was proposed by Govindaraju and Subramani (1993). For more details on MDS sampling plans, one may refer to Soundararajan and Vijayaraghavan (1990), Haridoss (2012), andAslam et al (2014). The MDS sampling plan based on measurement data was derived by Balamurali and Jun (2007).…”

Section: Mds Sampling Plan Based On Ehldmentioning

confidence: 99%

Design of multiple-deferred state sampling plans for exponentiated half logistic distribution

Rao

Rosaiah

Naidu

2020

Cogent Mathematics & Statistics

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This paper aims to develop a multiple deferred state sampling plan for a time-truncated life test if the lifetime of the item follows exponentiated half logistic distribution. The optimal parameters of the proposed plan, such as the number of successive lots required for making the decision whether to accept or reject the current lot, sample size, the rejection and acceptance numbers are obtained using two points approach. The implementation of the proposed plan is illustrated with examples. Tables are constructed for various combinations of consumer's and producer's risks. Comparison is also made with existing sampling plans under exponentiated half logistic distribution.

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Development of multiple deferred state sampling plan based on minimum risks using the weighted Poisson distribution for given acceptance quality level and limiting quality level

Cited by 21 publications

References 0 publications

Sampling Inspection Plan to Test Daily COVID-19 Cases Using Gamma Distribution under Indeterminacy Based on Multiple Dependent Scheme

Sampling Inspection Plan to Test Daily COVID-19 Cases Using Gamma Distribution under Indeterminacy Based on Multiple Dependent Scheme

Design of Multiple Dependent State Sampling Plan Application for COVID‐19 Data Using Exponentiated Weibull Distribution

Design of multiple-deferred state sampling plans for exponentiated half logistic distribution

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