Disassembly-oriented Product Classification Using Neural Networks
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.
S. Viswanathan and V. Allada, "Disassembly-oriented Product Classification Using Neural Networks," ANNIE 1998, American Society of Mechanical Engineers (ASME), Jan 1998.
Engineering Management and Systems Engineering
National Science Foundation (U.S.)
Keywords and Phrases
Effect; Environment; Product; Recycling; Relationship; Reuse
Library of Congress Subject Headings
Article - Conference proceedings
© 1998 American Society of Mechanical Engineers (ASME), All rights reserved.
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