Measurement Method/System Development

  • Leslie Pendrill
Part of the Springer Series in Measurement Science and Technology book series (SSMST)


Achieving quality-assured measurement is particularly challenging when measurements are to be done over a wider scope, in terms of scale (large and small, ranging from cosmological to nanoscales) as well as including more qualitative properties when tackling quality-assured measurement across the social and physical sciences.

When embarking on a description of measurement in such challenging circumstances, it will be beneficial to exploit opportunities of observing that the measurement process is a specific example and subset of a production process, where the “product” in this special case is the “measurement result”. In the present chapter, obvious analogies will be drawn between designing production of entities—described in Chap.  1—and designing measurement systems for experiments.

A quality-assurance loop in the special case where the “product” is a measurement. This measurement quality loop will provide the structure for basically the rest of the book. The present chapter—the first in this book to address predominantly measurement rather than product—will cover, so to say, the first quarter of the ‘clock’ of the loop, where the client issue of product demands is interpreted in terms of the corresponding measurement requirements. Modelling of a measurement system will be an important step (Sects. 2.2 and 2.4), as well as advice on designing experiments and measurement methods (Sect. 2.3) and finally validating and verifying them (Sect. 2.5). The chapter concludes with a couple of case studies before the reader is encouraged to continue their chosen example.


Quality-assurance Measurement method Measurement system Development Product/measure analogies Quality loop Validation Verification Case studies 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Leslie Pendrill
    • 1
  1. 1.PartilleSweden

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