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The Usage of Fuzzy Quality Control Charts to Evaluate Product Quality and an Application

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Analysis and Design of Intelligent Systems using Soft Computing Techniques

Part of the book series: Advances in Soft Computing ((AINSC,volume 41))

Abstract

The quality improvement is of the great importance to strength a competitive position in our markets today. Though improving the quality, shrinkages and so production costs decrease and the customers obtain the appropriate products and services to use. Models are needed for transferring information from one place to another quickly, decreasing and even for eliminating it in the complex subjects. These vagueness is explained by the fuzzy set concept which is useful for making optimal decision under uncertainty and which is accepted as inference based on a specific logic. Control charts have an efficient usage field to keep the process under control. Control charts are accepted as graphical analysis method which determines the products whether to remain in the acceptable limits or not and as a graphical analysis method which gives a signal in the case of product to be out of these limits. In this study by revealing basic idea and principles behind the control charts usage and the improvement; they are combined with fuzzy quality control charts and an application about their usage is mentioned. As a result of the application, it’s possible to say that building fuzzy control charts have a more flexible and a more appropriate mathematical description concept and have more reasonable results than the traditional quality chart techniques.

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References

  1. http://www.endustri.8k.com/mmm.html

  2. Rowland, H., Wang, L.R.: An approach of fuzzy logic evaluation and control in SPC. Quality and Reliability Engineering International 16, 91–98 (2000)

    Article  Google Scholar 

  3. http://www.yazilimvadisi.com/?pg=urun_qpro

  4. Wang, R.-C., Chen, C.-H.: Economic Statistical np-control Chart Designs Based on Fuzzy Optimization. International Journal of Quality & Reliability Management 12(1), 82–92 (1995)

    Article  Google Scholar 

  5. Mahmut, T., Yönetimi, T.: Arı Ofset Yayıncılık, s.106, Konya (1999)

    Google Scholar 

  6. Wang, J.-H., Raz, T.: On the Construction of Control Charts Using Linguistic Variable. International Journal of Production Research 28(3), 477–487 (1990)

    Article  Google Scholar 

  7. İrfan Ertuğrul, Toplam Kalite Kontrol ve Teknikleri, s.214, Ekin Kitabevi, Bursa (2004)

    Google Scholar 

  8. Montgomery, D.C.: Introduction to Statistical Quality Control, 2nd edn., p. 201 (1991)

    Google Scholar 

  9. Zekai Şen, Mühendislikte Bulanık (Fuzzy) Mantık ile Modelleme Prensipleri, Su vakfı yayınları,s.7 İstanbul (2004)

    Google Scholar 

  10. Çetin Elmas, Bulanık Mantık Denetleyiciler, Seçkin Yayıncılık, s. 25, Ankara (2003)

    Google Scholar 

  11. Du, T.C.-T., Wolfe, P.M.: Implementation of Fuzzy Logic Systems and Neural Networks in Industry. Computers in Industry 32, 261–272 (1997)

    Article  Google Scholar 

  12. Vasıf V.Nabiyev, Yapay Zeka, Seçkin Yayıncılık, s.640, Ankara (2003)

    Google Scholar 

  13. Nazife Baykal, Timur Beyan, Bulanık Mantık İlke ve Temelleri, Bıçaklar Kitabevi, s.39-41 (2004)

    Google Scholar 

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Patricia Melin Oscar Castillo Eduardo Gomez Ramírez Janusz Kacprzyk Witold Pedrycz

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© 2007 Springer-Verlag Berlin Heidelberg

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Ertuğrul, I., Güneş, M. (2007). The Usage of Fuzzy Quality Control Charts to Evaluate Product Quality and an Application. In: Melin, P., Castillo, O., Ramírez, E.G., Kacprzyk, J., Pedrycz, W. (eds) Analysis and Design of Intelligent Systems using Soft Computing Techniques. Advances in Soft Computing, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72432-2_67

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  • DOI: https://doi.org/10.1007/978-3-540-72432-2_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72431-5

  • Online ISBN: 978-3-540-72432-2

  • eBook Packages: EngineeringEngineering (R0)

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