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A flexible resubmitted variable sampling plan for product quality determination using the process loss index Cover

A flexible resubmitted variable sampling plan for product quality determination using the process loss index

Open Access
|May 2025

Abstract

This research aims to develop a flexible resubmitted sampling plan (RSP) incorporating a process loss index for variable inspection. This model will effectively address product specifications that are affected by variations in target value and lot fraction non-conformance as well. This method is specially designed for quality characteristics that have a normal distribution and are subject to double specification limits. This article outlines the plan parameters by utilizing the common two-point condition on the operating characteristic curve. This criterion ensures that the strategy will satisfy the quality requirements and acceptable risk levels for both the customer and the manufacturer. An analysis is conducted to evaluate the performance of the proposed sampling plan and compare it to the characteristics of the typical single-sample plan. The proposed method enables a reduction in the sample size that is tested while maintaining an equal level of protection for both the manufacturer and the consumer. Tables comprising the plan parameters are available for practical use and organized according to specified quality standards and degrees of risk. Moreover, an example illustrating the operational method is provided to verify the proposed approach.

DOI: https://doi.org/10.30657/pea.2025.31.20 | Journal eISSN: 2353-7779 | Journal ISSN: 2353-5156
Language: English
Page range: 201 - 211
Submitted on: Jan 29, 2025
Accepted on: Apr 14, 2025
Published on: May 27, 2025
Published by: Quality and Production Managers Association
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Armin Darmawan, Syamsul Bahri, Kifayah Amar, Muhammad Reza Do Bagus, Nurfaidah Tahir, published by Quality and Production Managers Association
This work is licensed under the Creative Commons Attribution 4.0 License.