Article ID: | iaor1992101 |
Country: | United Kingdom |
Volume: | 29 |
Issue: | 9 |
Start Page Number: | 1771 |
End Page Number: | 1784 |
Publication Date: | Sep 1991 |
Journal: | International Journal of Production Research |
Authors: | Suresh Nallan C., Kaparthi Shashidhar |
Keywords: | neural networks |
The classification and coding of parts for group technology applications continue to be labour intensive and time-consuming processes. In this paper a pattern recognition approach utilizing neural networks is presented for the automation of some elements of this critical activity. As an illustrative example, a neural network system is used to generate part geometry-related digits of the Opitz code from bitmaps of part drawings. It is found to generate codes accurately and promises to be a useful tool for the automatic generation of shape-based classes and codes.