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Fuzzy Statistical Process Control Techniques in Production Systems

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Production Engineering and Management under Fuzziness

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 252))

Abstract

Crisp Shewhart control charts monitor and evaluate a process as “in control” or “out of control” whereas the fuzzy control charts do it by using suitable linguistic or fuzzy numbers by offering flexibility for control limits. In this chapter, fuzzy attribute control charts and fuzzy variable control charts are developed and some numeric examples are given.

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Author information

Authors and Affiliations

  1. Industrial Engineering Department, İstanbul Technical University, İstanbul, Turkey

    Cengiz Kahraman

  2. Industrial Engineering Department, Gaziantep University, Gaziantep, Turkey

    Murat Gülbay

  3. Industrial Engineering Department, Anadolu University, Eskişehir, Turkey

    Nihal Erginel

  4. Statistics Department, Anadolu University, Eskişehir, Turkey

    Sevil Şentürk

Authors
  1. Cengiz Kahraman
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  2. Murat Gülbay
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  3. Nihal Erginel
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  4. Sevil Şentürk
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Editor information

Editors and Affiliations

  1. Management Faculty, Department of Industrial Engineering, Istanbul Technical University, Macka, 34367, Istanbul, Turkey

    Cengiz Kahraman

  2. Harry f. Byrd, Jr. School of Business, Shenandoah University, 1460 University Dr., 22601, Winchester, VA, USA

    Mesut Yavuz

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© 2010 Springer-Verlag Berlin Heidelberg

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Kahraman, C., Gülbay, M., Erginel, N., Şentürk, S. (2010). Fuzzy Statistical Process Control Techniques in Production Systems. In: Kahraman, C., Yavuz, M. (eds) Production Engineering and Management under Fuzziness. Studies in Fuzziness and Soft Computing, vol 252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12052-7_18

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  • DOI: https://doi.org/10.1007/978-3-642-12052-7_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12051-0

  • Online ISBN: 978-3-642-12052-7

  • eBook Packages: EngineeringEngineering (R0)

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