Corpus ID: 8991189

FA-WALCA-CF : A NOVEL METHOD TO MACHINE-PART GROUPING PROBLEMS

@inproceedings{Ghosh2011FAWALCACFA,
  title={FA-WALCA-CF : A NOVEL METHOD TO MACHINE-PART GROUPING PROBLEMS},
  author={Tamal Ghosh and S. Sengupta and P. K. Dan},
  year={2011}
}
Cellular manufacturing system is the formation of optimised machine cells, which forms part families with similar processing requirements and associates machines into machine cells in order to optimise the overall production process. To effectively solve this problem a hybrid novel approach is demonstrated in this paper, which is based on weighted average linkage clustering algorithm and fuzzy-ART neural network technique. The proposed technique is tested on published datasets of past… Expand

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References

SHOWING 1-10 OF 43 REFERENCES
Applying K-harmonic means clustering to the part-machine classification problem
Modified fuzzy C-means algorithm for cellular manufacturing
A within-cell utilization based heuristic for designing cellular manufacturing systems
An evolutionary algorithm for manufacturing cell formation
Performance of Fuzzy ART neural network for group technology cell formation
FACT : A new neural network-based clustering algorithm for group technology
Evolutionary approach for solving cell-formation problem in cell manufacturing
  • Z. Car, T. Mikac
  • Engineering, Computer Science
  • Adv. Eng. Informatics
  • 2006
...
1
2
3
4
5
...