Title

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.

Department(s)

Engineering Management and Systems Engineering

Sponsor(s)

National Science Foundation (U.S.)

Keywords and Phrases

Effect; Environment; Product; Recycling; Relationship; Reuse

Library of Congress Subject Headings

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.

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