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Disassembly sequence generation using a neural network approach

✍ Scribed by Hsin-Hao (Tom) Huang; Michael H. Wang; Michael R. Johnson

Publisher
Society of Manufacturing Engineers
Year
2000
Tongue
English
Weight
878 KB
Volume
19
Category
Article
ISSN
0278-6125

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✦ Synopsis

The problem of disassembly sequence generation is complex and has proven to be difficult to solve. Various methods have been used in attempting to solve the problem, including mathematical modeling and search techniques. This paper first presents the economic analysis method of the disassembly process and then describes the method of using an artificial neural network for disassembly sequence generation. A real-world disassembly example is described for material recovery considerations, and the result of implementing the neural network approach is demonstrated.

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