Two-Sample Tests for Comparing Measurement Systems

被引:5
作者
Majeske, Karl D. [1 ]
机构
[1] Oakland Univ, Sch Business Adm, Rochester, MI 48309 USA
关键词
coordinated measurement systems; gauge R&R; hypothesis tests; measurement error; measurement systems analysis; FALSE DISCOVERY RATE; R-AND-R;
D O I
10.1080/08982112.2012.696298
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In some situations, two different types of measurement systems have been developed to measure the same quality characteristic on a product. In this scenario, one might be interested in comparing the ability of the two systems to provide precise measurements as quantified by measurement systems analysis criteria. To allow such comparisons, this article provides two-sample hypothesis tests for five different measurement systems analysis (MSA) criteria. The techniques are demonstrated using data from an automotive body manufacturing facility that compares a coordinate measuring machine to a noncontact vision-based measurement system.
引用
收藏
页码:501 / 513
页数:13
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