Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-22T14:06:54.774Z Has data issue: false hasContentIssue false
  • English
  • Français

Measurement of the perceived quality of a product

Characterization of aesthetic anomalies

Published online by Cambridge University Press:  07 November 2013

J.-L. Maire ,
M. Pillet  and
N. Baudet
Get access

Abstract

For some companies, visual inspection has become an essential step when seeking to improve the quality of their products. The aim of this control is to be sure of the perceived quality of the product, which often goes well beyond the quality expected by the customer. For this type of control, the controller should be able to detect any anomaly on a product, characterize this anomaly, and then evaluate it in order to decide if the product should be accepted or rejected. This paper describes how this characterization can be carried out and, more specifically, how to measure the impact of the local environment of an anomaly on the perceived quality of the product.

Keywords

Perceived qualityvisual inspectionanomalysensory profileGestalt
Type
Research Article
Information
International Journal of Metrology and Quality Engineering , Volume 4 , Issue 2 , 2013 , pp. 63 - 69
Copyright
© EDP Sciences 2013

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

T. Debrosse, M. Pillet, J.L. Maire, N. Baudet, Sensory perception of surfaces quality – Industrial practices and prospects, in Proceedings of the International Conference on Kansei Engineering and Emotion Research (KEER’10), March 2–4, Paris, France, 2010
Baudet, N., Pillet, M., Maire, J.L., Visual inspection of products: a comparison of the methods used to evaluate surface anomalies, Int. J. Metrol. Qual. Eng. 2, 31–38 (2011) CrossRefGoogle Scholar
K. Forslund, R. Söderberg, The effects of geometrical variation on perceived quality – a close look at the concept of visual robustness, in Proceedings of the 11th International Conference on Computer Aided Tolerancing, March 26–27, Annecy, France, 2009
A.S. Guerra, Métrologie sensorielle dans le cadre du contrôle qualité visuel, Ph.D. thesis, Université de Savoie, 2008
F. Depledt, Évaluation sensorielle : manuel méthodologique, 3rd edn. Collection Sciences & techniques agroalimentaires (Lavoisier, 2009)
ISO. NF ISO 11035, Analyse sensorielle – recherche et sélection de descripteurs pour l’élaboration d’un profil sensoriel, par approche multidimensionnelle (1995)
A.A. Weil-Barais, D. Dubois, S. Nicolas, J.-L. Pedinielli, A. Streri, L’homme cognitif, Puf, 1st edn. (Quadriage edition, 2005)
N. Baudet, M. Pillet, J.L. Maire, Neural networks for improvement of the visual quality process, in KEER 2012 – International Conference on Kansei Engineering and Emotional Research, 22–25 May 2012, Penghu, Taiwan