Advanced predictive quality control strategy involving different facilities

Ordieres-Meré, Joaquín and González Marcos, Ana and Alba Elías, Fernando and Menéndez Fernández, César (2013). Advanced predictive quality control strategy involving different facilities. "The International Journal of Advanced Manufacturing Technology", v. 67 (n. 5-8); pp. 1245-1256. ISSN 0268-3768. https://doi.org/10.1007/s00170-012-4562-9.

Description

Title: Advanced predictive quality control strategy involving different facilities
Author/s:
  • Ordieres-Meré, Joaquín
  • González Marcos, Ana
  • Alba Elías, Fernando
  • Menéndez Fernández, César
Item Type: Article
Título de Revista/Publicación: The International Journal of Advanced Manufacturing Technology
Date: July 2013
ISSN: 0268-3768
Volume: 67
Subjects:
Freetext Keywords: Advanced quality strategy, Multi-agent-based quality information system, Surface defects monitoring Comparison of defects along different facilities, Surface defects in steel industry, Artificial intelligence techniques
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería de Organización, Administración de Empresas y Estadística
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

There are many industries that use highly technological solutions to improve quality in all of their products. The steel industry is one example. Several automatic surface-inspection systems are used in the steel industry to identify various types of defects and to help operators decide whether to accept, reroute, or downgrade the material, subject to the assessment process. This paper focuses on promoting a strategy that considers all defects in an integrated fashion. It does this by managing the uncertainty about the exact position of a defect due to different process conditions by means of Gaussian additive influence functions. The relevance of the approach is in making possible consistency and reliability between surface inspection systems. The results obtained are an increase in confidence in the automatic inspection system and an ability to introduce improved prediction and advanced routing models. The prediction is provided to technical operators to help them in their decision-making process. It shows the increase in improvement gained by reducing the 40 % of coils that are downgraded at the hot strip mill because of specific defects. In addition, this technology facilitates an increase of 50 % in the accuracy of the estimate of defect survival after the cleaning facility in comparison to the former approach. The proposed technology is implemented by means of software-based, multi-agent solutions. It makes possible the independent treatment of information, presentation, quality analysis, and other relevant functions.

More information

Item ID: 15645
DC Identifier: http://oa.upm.es/15645/
OAI Identifier: oai:oa.upm.es:15645
DOI: 10.1007/s00170-012-4562-9
Official URL: http://link.springer.com/article/10.1007%2Fs00170-012-4562-9
Deposited by: Memoria Investigacion
Deposited on: 09 Dec 2013 19:36
Last Modified: 11 May 2017 18:26
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