Abstract

Many commercial measurement processes are planned with little or no regard to optimality in terms of measurement time and the estimated uncertainty of measurement. This can be because the complexity of the planning problem makes optimality in a dynamic environment difficult to achieve, even with expert knowledge. This paper presents a novel approach to measurement planning using automated planning. Detailed information regarding the modelling and encoding of measurement processes are provided. The benefits of this approach are demonstrated through the results of applying it to machine tool calibration. A discussion is then formed around the development of future tools to further validate the approach.
Original languageEnglish
Title of host publicationAdvanced Mathematical and Computational Tools in Metrology and Testing X
EditorsFranco Pavese, Wolfram Bremser, Anna Chunovkina, Nicolas Fischer, Alistair B Forbes
PublisherWorld Scientific
Pages286-292
Number of pages7
Volume86
ISBN (Electronic)9789814678636
ISBN (Print)9789814678612
Publication statusPublished - Jun 2015

Publication series

NameAdvances in Mathematics for Applied Sciences
PublisherWorld Scientific
Volume86

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Cite this

Parkinson, S., Crampton, A., & Longstaff, A. (2015). Optimising Measurement Processes Using Automated Planning. In F. Pavese, W. Bremser, A. Chunovkina, N. Fischer, & A. B. Forbes (Eds.), Advanced Mathematical and Computational Tools in Metrology and Testing X (Vol. 86, pp. 286-292). (Advances in Mathematics for Applied Sciences; Vol. 86). World Scientific.