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Advanced predictive quality control strategy involving different facilities

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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.

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Authors and Affiliations

  1. PMQ Research Group, ETSII, Universidad Politécnica de Madrid, c/ José Gutiérrez Abascal 2, 28006, Madrid, Spain

    Joaquín Ordieres-Meré

  2. P2ML Reserach Group, Mechanical Engineering Department, Universidad de la Rioja, c/ Luis de Ulloa 20, 26004, Logroño, La Rioja, Spain

    Ana González-Marcos & Fernando Alba-Elías

  3. Applied Mathematics Department, Universidad de Oviedo, c/ Avda. de Calvo Sotelo, 33007, Oviedo, Asturias, Spain

    César Menéndez-Fernández

Authors
  1. Joaquín Ordieres-Meré
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  2. Ana González-Marcos
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  3. Fernando Alba-Elías
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  4. César Menéndez-Fernández
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Correspondence to Joaquín Ordieres-Meré.

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Ordieres-Meré, J., González-Marcos, A., Alba-Elías, F. et al. Advanced predictive quality control strategy involving different facilities. Int J Adv Manuf Technol 67, 1245–1256 (2013). https://doi.org/10.1007/s00170-012-4562-9

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  • DOI: https://doi.org/10.1007/s00170-012-4562-9

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