A spectral clustering algorithm for manufacturing cell formation

  • Authors:
  • S. Oliveira;J. F. F. Ribeiro;S. C. Seok

  • Affiliations:
  • Computer Science Dept., University of Iowa, Iowa City, IA, USA;ICMC, Universidade de Sao Paulo, Sao Carlos, Brazil;Computer Science Dept., University of Iowa, Iowa City, IA, USA

  • Venue:
  • Computers and Industrial Engineering
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

A graph clustering algorithm constructs groups of closely related parts and machines separately. After they are matched for the least intercell moves, a refining process runs on the initial cell formation to decrease the number of intercell moves. A simple modification of this main approach can deal with some practical constraints, such as the popular constraint of bounding the maximum number of machines in a cell. Our approach makes a big improvement in the computational time. More importantly, improvement is seen in the number of intercell moves when the computational results were compared with best known solutions from the literature.