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New Sampling Procedures in Coordinate Metrology Based on Kriging-Based Adaptive Designs

In: Statistics for Innovation

Author

Listed:
  • Paola Pedone

    (INRIM (Italian National Research Institute of Metrology) Strada delle Cacce 91)

  • Daniele Romano

    (University of Cagliari, Department of Mechanical Engineering)

  • Grazia Vicario

    (Politecnico di Torino, Department of Mathematics)

Abstract

This chapter describes an interesting case of process innovation generated by transferring two statistical technologies from their native application fields to a different one. The technologies are prediction by Kriging models and sequential experiments, originally developed for geostatistics applications and clinical trials, respectively. The combination of the two, i.e., sequential experiments driven by Kriging predictions, has been successfully applied in coordinate metrology. The latter is a vast technical sector, widespread in industry, devoted to assessing product compliance to geometrical specifications by measuring a set of point coordinates on the part to be inspected. Preliminary results indicate that this technology transfer has produced a remarkable improvement in the performance of the measurement process, in terms of both quality and productivity.

Suggested Citation

  • Paola Pedone & Daniele Romano & Grazia Vicario, 2009. "New Sampling Procedures in Coordinate Metrology Based on Kriging-Based Adaptive Designs," Springer Books, in: Pasquale Erto (ed.), Statistics for Innovation, chapter 0, pages 103-121, Springer.
    • Handle: RePEc:spr:sprchp:978-88-470-0815-1_6
    DOI: 10.1007/978-88-470-0815-1_6
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