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

Fingerprint

Planning
Time measurement
Machine tools
Calibration
Uncertainty

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.
Parkinson, Simon ; Crampton, Andrew ; Longstaff, Andrew. / Optimising Measurement Processes Using Automated Planning. Advanced Mathematical and Computational Tools in Metrology and Testing X. editor / Franco Pavese ; Wolfram Bremser ; Anna Chunovkina ; Nicolas Fischer ; Alistair B Forbes. Vol. 86 World Scientific, 2015. pp. 286-292 (Advances in Mathematics for Applied Sciences).
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Parkinson, S, Crampton, A & Longstaff, A 2015, Optimising Measurement Processes Using Automated Planning. in F Pavese, W Bremser, A Chunovkina, N Fischer & AB Forbes (eds), Advanced Mathematical and Computational Tools in Metrology and Testing X. vol. 86, Advances in Mathematics for Applied Sciences, vol. 86, World Scientific, pp. 286-292.

Optimising Measurement Processes Using Automated Planning. / Parkinson, Simon; Crampton, Andrew; Longstaff, Andrew.

Advanced Mathematical and Computational Tools in Metrology and Testing X. ed. / Franco Pavese; Wolfram Bremser; Anna Chunovkina; Nicolas Fischer; Alistair B Forbes. Vol. 86 World Scientific, 2015. p. 286-292 (Advances in Mathematics for Applied Sciences; Vol. 86).

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Optimising Measurement Processes Using Automated Planning

AU - Parkinson, Simon

AU - Crampton, Andrew

AU - Longstaff, Andrew

PY - 2015/6

Y1 - 2015/6

N2 - 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.

AB - 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.

UR - http://www.worldscientific.com/worldscibooks/10.1142/9610

M3 - Chapter

SN - 9789814678612

VL - 86

T3 - Advances in Mathematics for Applied Sciences

SP - 286

EP - 292

BT - Advanced Mathematical and Computational Tools in Metrology and Testing X

A2 - Pavese, Franco

A2 - Bremser, Wolfram

A2 - Chunovkina, Anna

A2 - Fischer, Nicolas

A2 - Forbes, Alistair B

PB - World Scientific

ER -

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