Forming part-machine families for cellular manufacturing: A neural-network approach

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43 Scopus citations

Abstract

This paper presents a new approach to forming group-technology part families for cellular manufacturing. The approach is based on neural-network technology, which mimics the way biological brain neurons perform to generate intelligent decisions. A procedure of forming part families using parallel and simple artificial neurons is described with examples. The implications and advantages of using neural networks in group technology are discussed.

Original languageEnglish (US)
Pages (from-to)278-291
Number of pages14
JournalThe International Journal of Advanced Manufacturing Technology
Volume5
Issue number4
DOIs
StatePublished - Nov 1 1990

Keywords

  • Competition model
  • Group technology
  • Interactive activation
  • Neural networks
  • Part-family formation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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