Process targeting of multi-characteristic product using fuzzy logic and genetic algorithm with an interval based taguchi cost function

Syed N. Mujahid; S. O. Duffuaa

doi:10.1109/IEEM.2007.4419383

Process targeting of multi-characteristic product using fuzzy logic and genetic algorithm with an interval based taguchi cost function

Syed N. Mujahid^*, S. O. Duffuaa

^*Corresponding author for this work

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

1 Scopus citations

Abstract

In this paper, a fuzzy based process targeting model is developed for a product with multi-characteristic. It is assumed that the desired quality characteristics cannot be measured directly and has to be calculated indirectly from multi-input process parameters. A fuzzy relation between observed/input parameters and required/output characteristics is proposed. A genetic algorithm is developed to obtain optimal process targets. The utility of the proposed model and algorithm is illustrated by a realistic example.

Original language	English
Title of host publication	IEEM 2007
Subtitle of host publication	2007 IEEE International Conference on Industrial Engineering and Engineering Management
Pages	1204-1208
Number of pages	5
DOIs	https://doi.org/10.1109/IEEM.2007.4419383
State	Published - 2007

Publication series

Name	IEEM 2007: 2007 IEEE International Conference on Industrial Engineering and Engineering Management

Keywords

Fuzzy logic
Genetic algorithm
Taguchi cost function

ASJC Scopus subject areas

Strategy and Management
Industrial and Manufacturing Engineering

Access to Document

10.1109/IEEM.2007.4419383

Cite this

Mujahid, S. N., & Duffuaa, S. O. (2007). Process targeting of multi-characteristic product using fuzzy logic and genetic algorithm with an interval based taguchi cost function. In IEEM 2007: 2007 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 1204-1208). Article 4419383 (IEEM 2007: 2007 IEEE International Conference on Industrial Engineering and Engineering Management). https://doi.org/10.1109/IEEM.2007.4419383

Mujahid, Syed N. ; Duffuaa, S. O. / Process targeting of multi-characteristic product using fuzzy logic and genetic algorithm with an interval based taguchi cost function. IEEM 2007: 2007 IEEE International Conference on Industrial Engineering and Engineering Management. 2007. pp. 1204-1208 (IEEM 2007: 2007 IEEE International Conference on Industrial Engineering and Engineering Management).

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title = "Process targeting of multi-characteristic product using fuzzy logic and genetic algorithm with an interval based taguchi cost function",

abstract = "In this paper, a fuzzy based process targeting model is developed for a product with multi-characteristic. It is assumed that the desired quality characteristics cannot be measured directly and has to be calculated indirectly from multi-input process parameters. A fuzzy relation between observed/input parameters and required/output characteristics is proposed. A genetic algorithm is developed to obtain optimal process targets. The utility of the proposed model and algorithm is illustrated by a realistic example.",

keywords = "Fuzzy logic, Genetic algorithm, Taguchi cost function",

author = "Mujahid, \{Syed N.\} and Duffuaa, \{S. O.\}",

year = "2007",

doi = "10.1109/IEEM.2007.4419383",

language = "English",

isbn = "1424415292",

series = "IEEM 2007: 2007 IEEE International Conference on Industrial Engineering and Engineering Management",

pages = "1204--1208",

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Mujahid, SN & Duffuaa, SO 2007, Process targeting of multi-characteristic product using fuzzy logic and genetic algorithm with an interval based taguchi cost function. in IEEM 2007: 2007 IEEE International Conference on Industrial Engineering and Engineering Management., 4419383, IEEM 2007: 2007 IEEE International Conference on Industrial Engineering and Engineering Management, pp. 1204-1208. https://doi.org/10.1109/IEEM.2007.4419383

Process targeting of multi-characteristic product using fuzzy logic and genetic algorithm with an interval based taguchi cost function. / Mujahid, Syed N.; Duffuaa, S. O.
IEEM 2007: 2007 IEEE International Conference on Industrial Engineering and Engineering Management. 2007. p. 1204-1208 4419383 (IEEM 2007: 2007 IEEE International Conference on Industrial Engineering and Engineering Management).

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

TY - GEN

T1 - Process targeting of multi-characteristic product using fuzzy logic and genetic algorithm with an interval based taguchi cost function

AU - Mujahid, Syed N.

AU - Duffuaa, S. O.

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N2 - In this paper, a fuzzy based process targeting model is developed for a product with multi-characteristic. It is assumed that the desired quality characteristics cannot be measured directly and has to be calculated indirectly from multi-input process parameters. A fuzzy relation between observed/input parameters and required/output characteristics is proposed. A genetic algorithm is developed to obtain optimal process targets. The utility of the proposed model and algorithm is illustrated by a realistic example.

AB - In this paper, a fuzzy based process targeting model is developed for a product with multi-characteristic. It is assumed that the desired quality characteristics cannot be measured directly and has to be calculated indirectly from multi-input process parameters. A fuzzy relation between observed/input parameters and required/output characteristics is proposed. A genetic algorithm is developed to obtain optimal process targets. The utility of the proposed model and algorithm is illustrated by a realistic example.

KW - Fuzzy logic

KW - Genetic algorithm

KW - Taguchi cost function

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DO - 10.1109/IEEM.2007.4419383

M3 - Conference contribution

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SN - 1424415292

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T3 - IEEM 2007: 2007 IEEE International Conference on Industrial Engineering and Engineering Management

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BT - IEEM 2007

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Mujahid SN , Duffuaa SO. Process targeting of multi-characteristic product using fuzzy logic and genetic algorithm with an interval based taguchi cost function. In IEEM 2007: 2007 IEEE International Conference on Industrial Engineering and Engineering Management. 2007. p. 1204-1208. 4419383. (IEEM 2007: 2007 IEEE International Conference on Industrial Engineering and Engineering Management). doi: 10.1109/IEEM.2007.4419383

Process targeting of multi-characteristic product using fuzzy logic and genetic algorithm with an interval based taguchi cost function

Abstract

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Keywords

ASJC Scopus subject areas

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