Neural computing-based design of components for cellular manufacturing

A. Kusiak, Hong Chul Lee

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

In this paper, a neuro computing approach for integrating design and manufacturing engineering is developed. Products and components have been traditionally designed without considering constraints imposed by a manufacturing system. With the introduction of concurrent engineering, design and manufacturing engineering are viewed as an integrated area. A three layer neural network that integrates several manufacturing functions is constructed for designing a cellular manufacturing system. The neuro computing system proposed provides a designer with the desired features that meet the current manufacturing constraints for design of a new component. The proposed methodology overcomes the typical limitations of neutral networks such as the internal representation and training problem, and proves to be appropriate for concurrent engineering.

Original languageEnglish
Pages (from-to)1777-1790
Number of pages14
JournalInternational Journal of Production Research
Volume34
Issue number7
Publication statusPublished - 1996 Dec 1

Fingerprint

Cellular manufacturing
Concurrent engineering
Manufacturing
Neural networks

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Cite this

Neural computing-based design of components for cellular manufacturing. / Kusiak, A.; Lee, Hong Chul.

In: International Journal of Production Research, Vol. 34, No. 7, 01.12.1996, p. 1777-1790.

Research output: Contribution to journalArticle

@article{879c302c223248929985f650b1b654b8,
title = "Neural computing-based design of components for cellular manufacturing",
abstract = "In this paper, a neuro computing approach for integrating design and manufacturing engineering is developed. Products and components have been traditionally designed without considering constraints imposed by a manufacturing system. With the introduction of concurrent engineering, design and manufacturing engineering are viewed as an integrated area. A three layer neural network that integrates several manufacturing functions is constructed for designing a cellular manufacturing system. The neuro computing system proposed provides a designer with the desired features that meet the current manufacturing constraints for design of a new component. The proposed methodology overcomes the typical limitations of neutral networks such as the internal representation and training problem, and proves to be appropriate for concurrent engineering.",
author = "A. Kusiak and Lee, {Hong Chul}",
year = "1996",
month = "12",
day = "1",
language = "English",
volume = "34",
pages = "1777--1790",
journal = "International Journal of Production Research",
issn = "0020-7543",
publisher = "Taylor and Francis Ltd.",
number = "7",

}

TY - JOUR

T1 - Neural computing-based design of components for cellular manufacturing

AU - Kusiak, A.

AU - Lee, Hong Chul

PY - 1996/12/1

Y1 - 1996/12/1

N2 - In this paper, a neuro computing approach for integrating design and manufacturing engineering is developed. Products and components have been traditionally designed without considering constraints imposed by a manufacturing system. With the introduction of concurrent engineering, design and manufacturing engineering are viewed as an integrated area. A three layer neural network that integrates several manufacturing functions is constructed for designing a cellular manufacturing system. The neuro computing system proposed provides a designer with the desired features that meet the current manufacturing constraints for design of a new component. The proposed methodology overcomes the typical limitations of neutral networks such as the internal representation and training problem, and proves to be appropriate for concurrent engineering.

AB - In this paper, a neuro computing approach for integrating design and manufacturing engineering is developed. Products and components have been traditionally designed without considering constraints imposed by a manufacturing system. With the introduction of concurrent engineering, design and manufacturing engineering are viewed as an integrated area. A three layer neural network that integrates several manufacturing functions is constructed for designing a cellular manufacturing system. The neuro computing system proposed provides a designer with the desired features that meet the current manufacturing constraints for design of a new component. The proposed methodology overcomes the typical limitations of neutral networks such as the internal representation and training problem, and proves to be appropriate for concurrent engineering.

UR - http://www.scopus.com/inward/record.url?scp=0030196549&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030196549&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0030196549

VL - 34

SP - 1777

EP - 1790

JO - International Journal of Production Research

JF - International Journal of Production Research

SN - 0020-7543

IS - 7

ER -