Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Advanced predictive quality control strategy involving different facilities
Year:2012
Research Areas
  • Mechanical engineering,
  • Computerization,
  • Dataprocessing
Information
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.
International
Si
JCR
Si
Title
The International Journal of Advanced Manufacturing Technology
ISBN
0268-3768
Impact factor JCR
1,103
Impact info
Volume
10.1007/s00170-012-4562-9
Journal number
From page
1
To page
12
Month
SIN MES
Ranking
Q2
Participants
  • Autor: Joaquin Bienvenido Ordieres Mere (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Proyectos y Calidad
  • Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
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Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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