Abstract
In this paper a fuzzy c-means (FCM) based cell formation (CF) algorithm is used to design cellular manufacturing in a tractor manufacturing firm. In cell formation problems as the size of the part-machine matrix increases the problem gets complicated. Fuzzy models are suitable for CF problems by allowing the representation of uncertain information. FCM based algorithms seem to be efficient for cell formation problems at cellular manufacturing design.
| Original language | English |
|---|---|
| Title of host publication | World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference |
| Publisher | World Scientific Publishing Co. Pte Ltd |
| Pages | 1117-1122 |
| Number of pages | 6 |
| ISBN (Print) | 981279946X, 9789812799463 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | Computational Intelligence in Decision and Control - 8th International FLINS Conference - Madrid, Spain Duration: 21 Sept 2008 → 24 Sept 2008 |
Publication series
| Name | World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference |
|---|
Conference
| Conference | Computational Intelligence in Decision and Control - 8th International FLINS Conference |
|---|---|
| Country/Territory | Spain |
| City | Madrid |
| Period | 21/09/08 → 24/09/08 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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