Dynamic grouping of parts in flexible manufacturing systems - a self-organizing neural networks approach

Uday Kulkarni, Melody Y. Kiang

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

Artificial Intelligence (AI) has recently been recognized as a worthwhile tool for supporting manufacturing operations. This paper reviews AI-related approaches to Group Technology (GT) and presents the Self-Organizing Map (SOM) network, a special type of neural networks, as an intelligent tool for grouping parts and machines. SOM can learn from comples, multi-dimensional data and transform them into visually decipherable clusters. What sets this technique apart from others in GT is that SOM offers the flexibility of choosing from multiple grouping alternatives. SOM can be used in a dynamic situation where quick response to changes in part designs, process plans, or manufacturing conditions is essential, and thus it can be more easily integrated into a Flexible Manufacturing System. The paper proposes a framework of an intelligent system that integrates the neural networks approach and a knowledge-based system to provide decision supporting functions.

Original languageEnglish (US)
Pages (from-to)192-212
Number of pages21
JournalEuropean Journal of Operational Research
Volume84
Issue number1
DOIs
StatePublished - Jul 7 1995

Fingerprint

Self-organizing Neural Network
Flexible Manufacturing Systems
Flexible manufacturing systems
Self organizing maps
artificial intelligence
Self-organizing Map
Grouping
neural network
grouping
manufacturing conditions
manufacturing
Neural networks
Group Technology
Group technology
knowledge-based system
Artificial intelligence
Artificial Intelligence
flexibility
Group
Manufacturing

Keywords

  • Artificial intelligence
  • Decision support systems
  • Group technology
  • Neural nets
  • Self-organizing map

ASJC Scopus subject areas

  • Information Systems and Management
  • Management Science and Operations Research
  • Modeling and Simulation
  • Statistics, Probability and Uncertainty
  • Applied Mathematics
  • Transportation

Cite this

Dynamic grouping of parts in flexible manufacturing systems - a self-organizing neural networks approach. / Kulkarni, Uday; Kiang, Melody Y.

In: European Journal of Operational Research, Vol. 84, No. 1, 07.07.1995, p. 192-212.

Research output: Contribution to journalArticle

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