Design and Construction of a Variables Repetitive Group Sampling Plan for Unilateral Specification Limit

Liu, Shih‐Wen; Wu, Chien‐Wei

doi:10.1080/03610918.2013.810258

Cited by 42 publications

(12 citation statements)

References 25 publications

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“…Repetitive sampling plans based on one-sided specifications limits were presented by Yen et al [17] Recently, Saghir et al [10] developed a repetitive control chart for exponentially weighted moving average (EWMA) statistic using auxiliary information for monitoring process means. During the last few years, repetitive sampling has been explored by many authors including Adeoti and Olaomi [18], Aslam et al [19], Aslam et al [19], Aslam et al [20], Balamurali and Jun [14], Balamurali et al [13], Jun et al [21], Liu and Wu [22], and Radhakrishnan and Sivakumaran [23].…”

Section: Introductionmentioning

confidence: 99%

Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme

Almarashi

Aslam

2021

Journal of Mathematics

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In this article, a repetitive sampling control chart for the gamma distribution under the indeterminate environment has been presented. The control chart coefficients, probability of in-control, probability of out-of-control, and average run lengths have been determined under the assumption of the symmetrical property of the normal distribution using the neutrosophic interval method. The performance of the designed chart has been evaluated using the average run length measurements under different process settings for an indeterminate environment. In-control and out-of-control nature of the proposed chart under different levels of shifts have been described. The comparison of the proposed chart has been made with the existing chart. A real-world example from the healthcare department has been included for the practical application of the proposed chart. It has been observed from the simulation study and real example that the proposed control chart is efficient in quick monitoring of the out-of-control process. It can be concluded that the proposed control chart can be applied effectively in uncertainty.

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Section: Introductionmentioning

confidence: 99%

Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme

Almarashi

Aslam

2021

Journal of Mathematics

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“…Email: cweiwu@ie.nthu.edu.tw the literature, a number of acceptance sampling plans have been developed for a wide variety of situations. Some recent references are Balamurali and Jun, [2] Pearn and Wu, [3] Chen et al, [4] Wu and Pearn, [5] Aslam et al, [6] Seo et al, [7] Liu and Wu, [8] Liu et al, [9] Negrin et al, [10,11] Fernández et al, [12] Wu [13] and Wu et al [14] In testing of certain products, the test procedures are not always accurate or obtaining a random sample is difficult. In such cases, resampling is always done.…”

Section: Introductionmentioning

confidence: 99%

A flexible sampling scheme for variables inspection with loss consideration

Chen

2015

Journal of Statistical Computation and Simulation

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This article develops a variables sampling scheme for resubmitted lots by incorporating the concept of Taguchi loss function. The probability of lot acceptance is derived based on the exact sampling distribution and two-point condition on operating characteristic curve is used to determine the plan parameters that meet both the producer's and consumer's quality and risk requirements. Moreover, the performance of the proposed variables resubmitted sampling plan is investigated and compared with the classical variables single sampling plan. The results indicate that the developed resubmitted sampling plan can provide the same protection with less inspection when the submitted lot is good enough. Tables of the plan parameters under various conditions are provided and the use of the proposed plan is also illustrated with an example.

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“…These resubmitted sampling plans were introduced elsewhere [23]. Recently a group acceptance sampling plan (GASP) for a resubmitting lot when the lifetime of a product follows the Type II Generalized half-logistic distribution (GHLD) is proposed [24][25][26][27][28][29][30][31][32][33][34][35][36]. 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 test termination time.…”

Section: Introductionmentioning

confidence: 99%

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

2020

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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.

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Design and Construction of a Variables Repetitive Group Sampling Plan for Unilateral Specification Limit

Cited by 42 publications

References 25 publications

Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme

Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme

A flexible sampling scheme for variables inspection with loss consideration

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

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