Developing process-yield-based acceptance sampling plans for AR(1) auto-correlated process

被引：3

作者：

Banihashemi, Atefe ^{[1
]}

Fallah Nezhad, Mohammad Saber ^{[1
]}

Amiri, Amirhossein ^{[2
]}

机构：

[1] Yazd Univ, Dept Ind Engn, Yazd 89195741, Iran

[2] Shahed Univ, Dept Ind Engn, Tehran, Iran

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2023年 / 52卷 / 09期

关键词：

First-order auto-regressive (AR(1)); Process yield index; Quick switching sampling system; Variables sampling plan; PROCESS CAPABILITY ANALYSIS; QUICK SWITCHING-SYSTEM; VARIABLES; INDEX; SCHEME; AUTOCORRELATION; CONSTRUCTION; QUALITY; DESIGN; PK;

D O I：

10.1080/03610918.2021.1958845

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Acceptance sampling plans include a sampling scheme and a set of rules to determine whether an inspection lot from a supplier should be accepted or rejected. This paper aims at developing two acceptance sampling plans by variables inspection, namely a quick switching sampling (QSS) system and the modified repetitive group sampling (Modified-RGS) plan based on the process yield index S-pk for the first-order auto-regressive (AR(1)) auto-correlated process. A minimization model is employed to solve the plan parameters. The performance of the proposed sampling plans is investigated and compared with the existing sampling plans through the operating characteristic (OC) curve and the average sample number (ASN) required for inspection. The simulation results confirm the advantages of the proposed plans over existing sampling plans. An example is presented to illustrate the applicability of the proposed plans.

引用

页码：4230 / 4251

页数：22

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