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A Novel Lot Sentencing Method by Variables Inspection Considering Multiple Dependent State
Author(s) -
Wu ChienWei,
Lee Amy H. I.,
Chen YenWen
Publication year - 2016
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.1808
Subject(s) - plan (archaeology) , sampling (signal processing) , acceptance sampling , sample (material) , computer science , statistics , sample size determination , mathematics , chemistry , archaeology , filter (signal processing) , chromatography , computer vision , history
A good acceptance sampling plan is necessary for quality control, and different acceptance sampling plans have been developed to meet different purposes. Under a multiple dependent state (MDS) sampling plan, the lot disposition is not only based on the current sample from the lot but also on the sample results from preceding lots. This paper aims to develop a variables MDS sampling plan for normally distributed processes with two‐sided specification limits. In the proposed MDS sampling plan, the operating characteristic curve is derived based on the exact sampling distribution. The performance of the proposed plan is investigated and compared with the existing variables single sampling plan. Copyright © 2015 John Wiley & Sons, Ltd.