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Volume 8 | Issue 1

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Paper Title: Determination of Quick Switching Double Sampling System by Attributes under Trapezoidal Fuzzy Binomial distribution - Sample size Tightening
Authors Name: Gopinath M , Kungumaraj E , Manjula devi.S , Geethalakshmi.U
Unique Id: IJSDR1902035
Published In: Volume 4 Issue 2, February-2019
Abstract: Abstract--- Acceptance sampling is related to the study of deciding about the acceptance or rejection of the particular lots based on their quality of the product. Dodge and Romig have given the definition of acceptance sampling as a major of statistical quality control. There are several Sampling plans, systems and schemes are developed for the requirement of the industry. The Quick Switching Systems has certain procedure that requires fewer samples to run a process at minimum cost. It reduces the defects level. Quick Switching Systems are estimate with single, double, multiple, chain and variable sampling plans and also MIL STD 105 E switching systems and concluded its benefits. This paper presents the Quick Switching Double Sampling System (QSDSS) when the fraction of non-conforming element is a fuzzy trapezoidal number and being modelled based on the fuzzy Binomial distribution. Operating Characteristic (OC) curves of the fuzzy system is like a ring having high and low bounds whose width depends on the uncertainty proportion parameter in the lot when that sample size and acceptance numbers is fixed. Tables are designed and numerical demonstration is given to explain the assurance of QSDSS for sample size tightening with fuzzy Binomial distribution with its OC curve.
Keywords: Keywords--- SQC, SSP, DSP, QSDSS, OC, Fuzzy Binomial Distribution,Fuzzy trapezoidal
Cite Article: "Determination of Quick Switching Double Sampling System by Attributes under Trapezoidal Fuzzy Binomial distribution - Sample size Tightening", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 2, page no.206 - 212, February-2019, Available :http://www.ijsdr.org/papers/IJSDR1902035.pdf
Downloads: 000201509
Publication Details: Published Paper ID: IJSDR1902035
Registration ID:190115
Published In: Volume 4 Issue 2, February-2019
DOI (Digital Object Identifier):
Page No: 206 - 212
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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