Design of bayesian MDS sampling plan based on process capability index
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICISE03_009
تاریخ نمایه سازی: 17 آبان 1396
Abstract:
In this paper, a variable multiple dependent state (MDS) sampling plan is developed based on process capability index using Bayesian approach. The optimal parameters of developed sampling plan with respect to constraints related to the risk of consumer and producer are presented. Two comparison studied have been done. First the methods of double sampling model, sampling plan for resubmitted lots and repetitive group sampling (RGS) plan are elaborated and average sample numbers of developed MDS plan and other classical methods are compared. A comparison study between developed MDS plan based on Bayesian approach and exact probability distribution is carried out.
Keywords:
MDS sampling plan , RGS plan , sampling plan for resubmitted lots , Process capability index (PCI) , Average sample number (ASN) , Bayesian approach
Authors
Davood Shishebori
Department of Industrial Engineering, Yazd University, Yazd, Iran
Mohammad Saber Fallahnezhad
Department of Industrial Engineering, Yazd University, Yazd, Iran
Sina Seifi
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran