Intelligent process control using control charts—I: Control charts for variables

Murat Gülbay; Cengiz Kahraman

doi:10.1007/978-3-319-24499-0_2

Intelligent process control using control charts—I: Control charts for variables

Murat Gülbay^*, Cengiz Kahraman

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Gaziantep University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Bölüm › bilirkişi

3 Atıf (Scopus)

Özet

Shewhart’s control charts are used when you have enough and exact observed data. In case of incomplete and vague data, they can be still used by the help of the fuzzy set theory. In this chapter, we develop the fuzzy control charts for variables, which are namely X̄ and R and X̄ and S charts. Triangular fuzzy numbers have been used in the development of these charts. Unnatural patterns have been examined under fuzziness. Besides, fuzzy EWMA charts have been also developed in this chapter. For each fuzzy case, we present a numerical example.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent Systems Reference Library
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	23-70
Sayfa sayısı	48
DOI'lar	https://doi.org/10.1007/978-3-319-24499-0_2
Yayın durumu	Yayınlandı - 2016

Yayın serisi

Adı	Intelligent Systems Reference Library
Hacim	97
ISSN (Basılı)	1868-4394
ISSN (Elektronik)	1868-4408

Bibliyografik not

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

Belgeye Erişim

10.1007/978-3-319-24499-0_2

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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keywords = "EWMA control charts, Fuzzy sets, Shewhart{\textquoteright}s control charts, Triangular fuzzy numbers, Unnatural pattern",

author = "Murat G{\"u}lbay and Cengiz Kahraman",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.",

year = "2016",

doi = "10.1007/978-3-319-24499-0_2",

language = "English",

series = "Intelligent Systems Reference Library",

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TY - CHAP

T1 - Intelligent process control using control charts—I

T2 - Control charts for variables

AU - Gülbay, Murat

AU - Kahraman, Cengiz

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Shewhart’s control charts are used when you have enough and exact observed data. In case of incomplete and vague data, they can be still used by the help of the fuzzy set theory. In this chapter, we develop the fuzzy control charts for variables, which are namely X̄ and R and X̄ and S charts. Triangular fuzzy numbers have been used in the development of these charts. Unnatural patterns have been examined under fuzziness. Besides, fuzzy EWMA charts have been also developed in this chapter. For each fuzzy case, we present a numerical example.

AB - Shewhart’s control charts are used when you have enough and exact observed data. In case of incomplete and vague data, they can be still used by the help of the fuzzy set theory. In this chapter, we develop the fuzzy control charts for variables, which are namely X̄ and R and X̄ and S charts. Triangular fuzzy numbers have been used in the development of these charts. Unnatural patterns have been examined under fuzziness. Besides, fuzzy EWMA charts have been also developed in this chapter. For each fuzzy case, we present a numerical example.

KW - EWMA control charts

KW - Fuzzy sets

KW - Shewhart’s control charts

KW - Triangular fuzzy numbers

KW - Unnatural pattern

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U2 - 10.1007/978-3-319-24499-0_2

DO - 10.1007/978-3-319-24499-0_2

M3 - Chapter

AN - SCOPUS:85053362949

T3 - Intelligent Systems Reference Library

SP - 23

EP - 70

BT - Intelligent Systems Reference Library

PB - Springer Science and Business Media Deutschland GmbH

ER -

Intelligent process control using control charts—I: Control charts for variables

Özet

Yayın serisi

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap