Journal of Intelligent and Fuzzy Systems, ( ISI ), Year (2020-4)

Title : ( On the rectifying multiple deferred state plan in the presence of uncertain parameter )

Authors: Robab Afshari , Bahram Sadeghpour Gildeh ,

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Abstract

The quality of manufactured products plays a very important role in increasing consumer satisfaction. One approach to improving outgoing lot quality is applying screening method. In this paper, a multiple deferred state sampling plan is presented for a unilateral-univariate normal process with imprecise process quality in the presence of the rectifying inspection. To assess the performance of the proposed plan, a mathematical model is derived for calculating the fuzzy average total inspection (ATI-Tilda) under the operation of the proposed plan. The obtained conclusions indicate that the proposed plan is more economical than the existing plans in terms of ATI-Tilda measure. A numerical example is given to demonstrate how to apply the introduced plan in the real world.

Keywords

, Statistical quality control, fuzzy multiple deferred state sampling plan, average total inspection, fuzzy numbers arithmetic
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@article{paperid:1079519,
author = {Afshari, Robab and Sadeghpour Gildeh, Bahram},
title = {On the rectifying multiple deferred state plan in the presence of uncertain parameter},
journal = {Journal of Intelligent and Fuzzy Systems},
year = {2020},
month = {April},
issn = {1064-1246},
keywords = {Statistical quality control; fuzzy multiple deferred state sampling plan; average total inspection; fuzzy numbers arithmetic},
}

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%0 Journal Article
%T On the rectifying multiple deferred state plan in the presence of uncertain parameter
%A Afshari, Robab
%A Sadeghpour Gildeh, Bahram
%J Journal of Intelligent and Fuzzy Systems
%@ 1064-1246
%D 2020

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