Fuzzy statistical process control techniques in production systems

Cengiz Kahraman; Murat Gülbay; Nihal Erginel; Sevil Şentürk

doi:10.1007/978-3-642-12052-7_18

Fuzzy statistical process control techniques in production systems

Cengiz Kahraman^*, Murat Gülbay, Nihal Erginel, Sevil Şentürk

^*Corresponding author for this work

Department of Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Production Engineering and Management under Fuzziness
Editors	Cengiz Kahraman, Mesut Yavuz
Pages	431-456
Number of pages	26
DOIs	https://doi.org/10.1007/978-3-642-12052-7_18
Publication status	Published - 2010

Publication series

Name	Studies in Fuzziness and Soft Computing
Volume	252
ISSN (Print)	1434-9922

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10.1007/978-3-642-12052-7_18

Cite this

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author = "Cengiz Kahraman and Murat G{\"u}lbay and Nihal Erginel and Sevil {\c S}ent{\"u}rk",

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Fuzzy statistical process control techniques in production systems. / Kahraman, Cengiz; Gülbay, Murat; Erginel, Nihal et al.
Production Engineering and Management under Fuzziness. ed. / Cengiz Kahraman; Mesut Yavuz. 2010. p. 431-456 (Studies in Fuzziness and Soft Computing; Vol. 252).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Fuzzy statistical process control techniques in production systems

AU - Kahraman, Cengiz

AU - Gülbay, Murat

AU - Erginel, Nihal

AU - Şentürk, Sevil

PY - 2010

Y1 - 2010

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AB - 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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M3 - Chapter

AN - SCOPUS:77952715019

SN - 9783642120510

T3 - Studies in Fuzziness and Soft Computing

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EP - 456

BT - Production Engineering and Management under Fuzziness

A2 - Kahraman, Cengiz

A2 - Yavuz, Mesut

ER -

Fuzzy statistical process control techniques in production systems

Abstract

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