A flexible process-capability-qualified resubmission-allowed acceptance sampling scheme

2015 ◽  
Vol 80 ◽  
pp. 62-71 ◽  
Author(s):  
Chien-Wei Wu ◽  
Ming-Hung Shu ◽  
Alexander A. Nugroho ◽  
Nani Kurniati
2014 ◽  
Vol 26 (4) ◽  
pp. 450-459 ◽  
Author(s):  
Muhammad Aslam ◽  
Chien-Wei Wu ◽  
Muhammad Azam ◽  
Chi-Hyuck Jun

2020 ◽  
Vol 49 (5) ◽  
pp. 20180476
Author(s):  
Jianping Zhu ◽  
Junge Sun ◽  
Hua Xin ◽  
Chenlu Zheng ◽  
Tzong-Ru Tsai

2005 ◽  
Vol 25 (1) ◽  
pp. 29-44
Author(s):  
Roberto da Costa Quinino ◽  
Linda Lee Ho ◽  
Emílio Suyama

In this paper we present the optimum sampling size in zero-defect acceptance with rectification sampling scheme in the presence of misclassification errors. Its development is based on an economical model. The procedures are implemented in a program using the software Matlab and illustrated by an example.


Mathematics ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 141
Author(s):  
Ching-Ho Yen ◽  
Chun-Chia Lee ◽  
Kuo-Hung Lo ◽  
Yeou-Ren Shiue ◽  
Shu-Hua Li

The acceptance sampling plan and process capability index (PCI) are critical decision tools for quality control. Recently, numerous research papers have examined the acceptance sampling plan in combination with the PCI. However, most of these papers have not considered the aspect of rectifying inspections. In this paper, we propose a quality cost model of repetitive sampling to develop a rectifying acceptance sampling plan based on the one-sided PCI. This proposed model minimizes the total quality cost (TQC) of sentencing one lot, including inspection cost, internal failure cost, and external failure cost. In addition, sensitivity analysis is conducted to investigate the behavior of relevant parameters against TQC. To demonstrate the advantages of the proposed methodology, a comparison is implemented with the existing rectifying sampling plan in terms of TQC and average outgoing quality limit. This comparison reveals that our proposed methodology exhibits superior performance.


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