Intelligent decision making techniques in quality management: A literature review

Cengiz Kahraman; Seda Yanık

doi:10.1007/978-3-319-24499-0_1

Intelligent decision making techniques in quality management: A literature review

Cengiz Kahraman, Seda Yanık^*

^*Corresponding author for this work

Department of Industrial Engineering

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

1 Citation (Scopus)

Abstract

Intelligent techniques present optimum or suboptimal solutions to complex problems, which cannot be solved by the classical mathematical programming techniques. The aim of this chapter is to review the intelligent decision making literature in order to reveal their usage in quality problems. We first classify the intelligent techniques and then present graphical illustrations to show the status of these techniques in the solutions of quality problems. These graphs display the publishing frequencies of the intelligent quality management papers with respect to their countries, universities, journals, authors, types (whether it is a conference paper, book chapter, journal 1 paper, etc.)

Original language	English
Title of host publication	Intelligent Systems Reference Library
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	1-22
Number of pages	22
DOIs	https://doi.org/10.1007/978-3-319-24499-0_1
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:
ï¿½ Springer International Publishing Switzerland 2016.

Keywords

Ant colony Optimization
Fuzzy sets
Genetic algorithm
Intelligent techniques
Neural networks
Quality control
Quality management
Simulated annealing
Swarm optimization
Tabu Search

Access to Document

10.1007/978-3-319-24499-0_1

Cite this

@inbook{d148d4f71215479cb257132a365fa313,

title = "Intelligent decision making techniques in quality management: A literature review",

abstract = "Intelligent techniques present optimum or suboptimal solutions to complex problems, which cannot be solved by the classical mathematical programming techniques. The aim of this chapter is to review the intelligent decision making literature in order to reveal their usage in quality problems. We first classify the intelligent techniques and then present graphical illustrations to show the status of these techniques in the solutions of quality problems. These graphs display the publishing frequencies of the intelligent quality management papers with respect to their countries, universities, journals, authors, types (whether it is a conference paper, book chapter, journal 1 paper, etc.)",

keywords = "Ant colony Optimization, Fuzzy sets, Genetic algorithm, Intelligent techniques, Neural networks, Quality control, Quality management, Simulated annealing, Swarm optimization, Tabu Search",

author = "Cengiz Kahraman and Seda Yanık",

note = "Publisher Copyright: {\"i}¿½ Springer International Publishing Switzerland 2016.",

year = "2016",

doi = "10.1007/978-3-319-24499-0_1",

language = "English",

series = "Intelligent Systems Reference Library",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "1--22",

booktitle = "Intelligent Systems Reference Library",

address = "Germany",

}

TY - CHAP

T1 - Intelligent decision making techniques in quality management

T2 - A literature review

AU - Kahraman, Cengiz

AU - Yanık, Seda

N1 - Publisher Copyright: ï¿½ Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Intelligent techniques present optimum or suboptimal solutions to complex problems, which cannot be solved by the classical mathematical programming techniques. The aim of this chapter is to review the intelligent decision making literature in order to reveal their usage in quality problems. We first classify the intelligent techniques and then present graphical illustrations to show the status of these techniques in the solutions of quality problems. These graphs display the publishing frequencies of the intelligent quality management papers with respect to their countries, universities, journals, authors, types (whether it is a conference paper, book chapter, journal 1 paper, etc.)

AB - Intelligent techniques present optimum or suboptimal solutions to complex problems, which cannot be solved by the classical mathematical programming techniques. The aim of this chapter is to review the intelligent decision making literature in order to reveal their usage in quality problems. We first classify the intelligent techniques and then present graphical illustrations to show the status of these techniques in the solutions of quality problems. These graphs display the publishing frequencies of the intelligent quality management papers with respect to their countries, universities, journals, authors, types (whether it is a conference paper, book chapter, journal 1 paper, etc.)

KW - Ant colony Optimization

KW - Fuzzy sets

KW - Genetic algorithm

KW - Intelligent techniques

KW - Neural networks

KW - Quality control

KW - Quality management

KW - Simulated annealing

KW - Swarm optimization

KW - Tabu Search

UR - http://www.scopus.com/inward/record.url?scp=84946034541&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-24499-0_1

DO - 10.1007/978-3-319-24499-0_1

M3 - Chapter

AN - SCOPUS:84946034541

T3 - Intelligent Systems Reference Library

SP - 1

EP - 22

BT - Intelligent Systems Reference Library

PB - Springer Science and Business Media Deutschland GmbH

ER -

Intelligent decision making techniques in quality management: A literature review

Abstract

Publication series

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this