DETERMINATION OF QUICK SWITCHING DOUBLE SAMPLING SYSTEM BY ATTRIBUTES UNDER FUZZY BINOMIAL DISTRIBUTION – SAMPLE SIZE TIGHTENING

Abstract
Acceptance sampling is concerned with norms of deciding about the acceptance or rejection of the lots based on the quality of the product during inspection. Dodge and Romig popularized the acceptance sampling as a major field of SQC. Various Sampling plans, systems and schemes are developed as per the need of the industry. Quick Switching Systems is a system which requires fewer samples for processes running at low levels of defects. Quick Switching Systems are compared with single, double, multiple, chain and variable sampling plans as well as MIL STD 105 E switching systems and concluded its advantages. This article presents the Quick Switching Double Sampling System (QSDSS) when the fraction of non-conforming items is a fuzzy number and being modeled based on the fuzzy Binomial distribution. Operating Characteristic (OC) curves of the fuzzy system is like a band having high and low bounds whose width depends on the ambiguity proportion parameter in the lot when that sample size and acceptance numbers is fixed. Tables are constructed and numerical illustrations are given to describe the determination of QSDSS for sample size tightening with fuzzy Binomial distribution with its OC curve.

Authors
K Ramya, G Uma
PSG College of Arts and Science, India

Keywords
SQC, SSP, DSP, QSDSS, OC, Fuzzy Binomial Distribution
Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 8 , Issue: 1 )
Date of Publication :
October 2017

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