Disassembly-Oriented Product Classification using Neural Networks
Abstract
The increasing importance of a product's relationship and effects on the environment has prompted active research in Environment Conscious Design and Manufacture (ECDM). Disassembly of a product makes a product's parts available for recycling, remanufacturing or reuse. With the increasing complexity and variety of new products, the emergence of dedicated facilities to handle the enormity of this disassembly task in the near future is forseeable. Grouping diverse products based on their similarity in dissassembly characteristics would result in a more effective and flexible use of the capabilities of different disassembly factories. A modification of the "growing neural gas" network model was found to be effective to implement this grouping.
Recommended Citation
S. Viswanathan and V. Allada, "Disassembly-Oriented Product Classification using Neural Networks," Intelligent Engineering Systems Through Artificial Neural Networks, American Society of Mechanical Engineers (ASME), Nov 1998.
Meeting Name
Artificial Neural Networks in Engineering Conference, ANNIE 1998 (1998: Nov. 1-4, St. Louis, MO)
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Effect; Environment; Product; Recycling; Relationship; Reuse; Remanufacturing
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 1998 American Society of Mechanical Engineers (ASME), All rights reserved.
Publication Date
04 Nov 1998
