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Qualitative Model for Quality Control in Production

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3214))

Abstract

To assure quality products that meet all specifications and standards, we need to know a manufacturing process very well and we also need efficient methods to control it. That is especially important in mass production, where it is not enough only to meet the corresponding specifications but also to achieve the highest uniformity or equality of the products. Therefore, a very important task in a production is a continuous control of all its processes to achieve required quality of products. Once we have an indication of a shift outside a stable pattern of variation, we must discover the reason for the shift and correct it. In our contribution we present a qualitative model of production control based on a mathematical model of the inspection for use in expert systems for automatic analysis of production processes.

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Author information

Authors and Affiliations

  1. Faculty of Mechanical Engineering, University of Maribor, Smetanova 17, 2000, Maribor, Slovenia

    Marjan Družovec

  2. Faculty of Electrical Engineering and Computer Science, University of Maribor, Smetanova 17, 2000, Maribor, Slovenia

    Tatjana Welzer

Authors
  1. Marjan Družovec
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  2. Tatjana Welzer
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Družovec, M., Welzer, T. (2004). Qualitative Model for Quality Control in Production. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_133

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  • DOI: https://doi.org/10.1007/978-3-540-30133-2_133

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23206-3

  • Online ISBN: 978-3-540-30133-2

  • eBook Packages: Springer Book Archive

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