{"title":"Conformity assessment of processes and lots in the framework of JCGM 106:2012","authors":"Rainer Göb, Steffen Uhlig, Bernard Colson","doi":"arxiv-2409.11912","DOIUrl":null,"url":null,"abstract":"ISO/IEC 17000:2020 defines conformity assessment as an \"activity to determine\nwhether specified requirements relating to a product, process, system, person\nor body are fulfilled\". JCGM (2012) establishes a framework for accounting for\nmeasurement uncertainty in conformity assessment. The focus of JCGM (2012) is\non the conformity assessment of individual units of product based on\nmeasurements on a cardinal continuous scale. However, the scheme can also be\napplied to composite assessment targets like finite lots of product or\nmanufacturing processes, and to the evaluation of characteristics in discrete\ncardinal or nominal scales. We consider the application of the JCGM scheme in the conformity assessment\nof finite lots or processes of discrete units subject to a dichotomous quality\nclassification as conforming and nonconforming. A lot or process is classified\nas conforming if the actual proportion nonconforming does not exceed a\nprescribed upper tolerance limit, otherwise the lot or process is classified as\nnonconforming. The measurement on the lot or process is a statistical\nestimation of the proportion nonconforming based on attributes or variables\nsampling, and meassurement uncertainty is sampling uncertainty. Following JCGM\n(2012), we analyse the effect of measurement uncertainty (sampling uncertainty)\nin attributes sampling, and we calculate key conformity assessment parameters,\nin particular the producer's and consumer's risk. We suggest to integrate such\nparameters as a useful add-on into ISO acceptance sampling standards such as\nthe ISO 2859 series.","PeriodicalId":501172,"journal":{"name":"arXiv - STAT - Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - STAT - Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11912","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
ISO/IEC 17000:2020 defines conformity assessment as an "activity to determine
whether specified requirements relating to a product, process, system, person
or body are fulfilled". JCGM (2012) establishes a framework for accounting for
measurement uncertainty in conformity assessment. The focus of JCGM (2012) is
on the conformity assessment of individual units of product based on
measurements on a cardinal continuous scale. However, the scheme can also be
applied to composite assessment targets like finite lots of product or
manufacturing processes, and to the evaluation of characteristics in discrete
cardinal or nominal scales. We consider the application of the JCGM scheme in the conformity assessment
of finite lots or processes of discrete units subject to a dichotomous quality
classification as conforming and nonconforming. A lot or process is classified
as conforming if the actual proportion nonconforming does not exceed a
prescribed upper tolerance limit, otherwise the lot or process is classified as
nonconforming. The measurement on the lot or process is a statistical
estimation of the proportion nonconforming based on attributes or variables
sampling, and meassurement uncertainty is sampling uncertainty. Following JCGM
(2012), we analyse the effect of measurement uncertainty (sampling uncertainty)
in attributes sampling, and we calculate key conformity assessment parameters,
in particular the producer's and consumer's risk. We suggest to integrate such
parameters as a useful add-on into ISO acceptance sampling standards such as
the ISO 2859 series.