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CONSTRUCTION AND SELECTION OF STATISTICAL PARAMETERS USING QUICK SWITCHING SYSTEM BASED ON NEUTROSOPHIC SETS - CARDBOARD CAN PRODUCTION INDUSTRY
Keywords:
SSP, QSS, OC, AQL, LQL, neutrosophic Poisson distribution.DOI:
https://doi.org/10.17654/0972361724081Abstract
Quick Switching System (QSS) proposed by Dodge [7] is a sampling system used for the decision in accepting or not the lot while inspecting a series of lots in a manufacturing industry. Based on the past results, QSS may change the number of units inspected and the acceptance criteria in order to give extra protection during the time of poor quality and cost reduction during the time of good quality. On comparing with single, double, chain sampling plan, variable sampling plans and MIL STD 105E switching systems, QSS clinches to be superior in reducing the time and ultimately reduces the cost of inspection with smaller sample size. Due to indeterministic situations, neutrosophic statistics can be applied as an advancement of fuzzy sampling system, when the data may be imprecise, intermediate leading to indecision about the quality of the manufactured product. In this article, QSS with reference to Single Sampling Plan (SSP) using neutrosophic Poisson distribution is as a baseline distribution to determine sample size tightening for various parameters such as AQL and LQL. Operating Characteristic (OC) curves are illustrated numerically using examples.
Received: August 7, 2024
Accepted: October 10, 2024
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