Neural computing-based design of components for cellular manufacturing

A. Kuslak, H. Lees

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)


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
Issue number7
Publication statusPublished - 1996 Jul

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering


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