Design of Experiments in Metrology

Stephen Crowder, Collin Delker, Eric Forrest and Nevin Martin ()
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Stephen Crowder: Sandia National Laboratories
Collin Delker: Sandia National Laboratories
Eric Forrest: Sandia National Laboratories
Nevin Martin: Sandia National Laboratories

Chapter Chapter 9 in Introduction to Statistics in Metrology, 2020, pp 181-226 from Springer

Abstract: Abstract One of the topics that has received relatively little attention in the metrology literature is the statistical design of experiments (DOEx). A premise of statistical DOEx is that efficiency is paramount in terms of the resources (cost, time, personnel, equipment, etc.…) used to perform an experiment. In the case of metrology studies, individual runs in an experiment may be very costly, and the experiment must be designed in such a way that information regarding the measurement process is obtained efficiently. In this chapter we present a variety of experimental designs and approaches to efficiently developing, evaluating, and optimizing a measurement process.

Date: 2020
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DOI: 10.1007/978-3-030-53329-8_9

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