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Application of Fuzzy Theory in Steel Production Planning and Scheduling

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Book cover Advances in Fuzzy Decision Making

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 333))

Abstract

This chapter describes the application of fuzzy sets to planning and scheduling of production in the steel industry. Primarily, the problem of steel grade assignment to customer’ orders is analysed. Fuzzy sets are used to reduce the variety of potential steel grades and to describe characteristic of materials by decision makers. Next, fuzzy logic systems for steel production scheduling are examined. Fuzzy parameters and fuzzy constraints are used to describe some aspects of the steel production process, with a special respect to the continuous casting. Finally, the cooperation of steel production planning between different shops using a multi-agent approach and fuzzy sets is discussed and the practical example of a genetic algorithm applied to solve a fuzzy lot-sizing problem for a continuous casting planning agent is presented.

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Authors and Affiliations

  1. AGH University of Science and Technology, Kraków, Poland

    Beata Basiura, Jerzy Duda, Bartłomiej Gaweł, Janusz Opiła, Tomasz Pełech-Pilichowski, Bogdan Rębiasz & Iwona Skalna

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  1. Beata Basiura
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  2. Jerzy Duda
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  3. Bartłomiej Gaweł
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  4. Janusz Opiła
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  5. Tomasz Pełech-Pilichowski
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  6. Bogdan Rębiasz
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  7. Iwona Skalna
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Correspondence to Beata Basiura .

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Basiura, . et al. (2015). Application of Fuzzy Theory in Steel Production Planning and Scheduling. In: Advances in Fuzzy Decision Making. Studies in Fuzziness and Soft Computing, vol 333. Springer, Cham. https://doi.org/10.1007/978-3-319-26494-3_6

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  • DOI: https://doi.org/10.1007/978-3-319-26494-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26492-9

  • Online ISBN: 978-3-319-26494-3

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