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Fuzzy EWMA and Fuzzy CUSUM Control Charts

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Fuzzy Statistical Decision-Making

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 343))

Abstract

Exponentially Weighted Moving-Averages (EWMA) and Cumulative-Sum (CUSUM) control charts have the ability of detecting small shifts in the process mean. Classical EWMA and CUSUM charts are not capable to capture the uncertainty in case of incomplete data. Fuzzy EWMA and CUSUM control charts are developed in this chapter and numerical illustrations are given.

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Author information

Authors and Affiliations

  1. Industrial Engineering Department, Anadolu University, 26555, Eskişehir, Turkey

    Nihal Erginel

  2. Statistics Department, Anadolu University, 26470, Eskişehir, Turkey

    Sevil Şentürk

Authors
  1. Nihal Erginel
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  2. Sevil Şentürk
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Corresponding author

Correspondence to Nihal Erginel .

Editor information

Editors and Affiliations

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

    Cengiz Kahraman

  2. Management Facult, Industrial Engineering Department, Istanbul Technical University, Istanbul, Turkey

    Özgür Kabak

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Erginel, N., Şentürk, S. (2016). Fuzzy EWMA and Fuzzy CUSUM Control Charts. In: Kahraman, C., Kabak, Ö. (eds) Fuzzy Statistical Decision-Making. Studies in Fuzziness and Soft Computing, vol 343. Springer, Cham. https://doi.org/10.1007/978-3-319-39014-7_15

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  • DOI: https://doi.org/10.1007/978-3-319-39014-7_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39012-3

  • Online ISBN: 978-3-319-39014-7

  • eBook Packages: EngineeringEngineering (R0)

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