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

^*Corresponding author for this work

Department of Industrial Engineering

Gaziantep University

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

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Intelligent Systems Reference Library
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	23-70
Number of pages	48
DOIs	https://doi.org/10.1007/978-3-319-24499-0_2
Publication status	Published - 2016

Publication series

Name	Intelligent Systems Reference Library
Volume	97
ISSN (Print)	1868-4394
ISSN (Electronic)	1868-4408

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

Keywords

EWMA control charts
Fuzzy sets
Shewhart’s control charts
Triangular fuzzy numbers
Unnatural pattern

Access to Document

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

Cite this

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AU - Kahraman, Cengiz

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PY - 2016

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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.

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KW - Fuzzy sets

KW - Shewhart’s control charts

KW - Triangular fuzzy numbers

KW - Unnatural pattern

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PB - Springer Science and Business Media Deutschland GmbH

ER -

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

Abstract

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Bibliographical note

Keywords

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