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Proceedings Paper

Human cognitive analysis of disassembly planning using fuzzy petri nets
Author(s): Ying Tang; Mark Turowski
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Paper Abstract

Disassembly, as the process of systematic removal of desirable constituent parts from an assembly, is of growing importance due to the increasing environmental and economic pressures. Designing and improving disassembly process towards a more economic manner is worthwhile investigating. This paper extends our previous work on human factors in disassembly. More specifically, a Fuzzy Petri Net (FPN) is proposed to mathematically model uncertainties in the disassembly process due to the variations in operator skill level and product condition. An adaptive fuzzy system is further developed for the decision-making in disassembly process planning (DPP), where a learning mechanism is engaged to monitor the quality of various parameter estimates and exploit the past “knowledge” regarding uncertainties. This idea is exemplified through the disassembly of a discarded product with three components.

Paper Details

Date Published: 8 December 2004
PDF: 8 pages
Proc. SPIE 5583, Environmentally Conscious Manufacturing IV, (8 December 2004); doi: 10.1117/12.569639
Show Author Affiliations
Ying Tang, Rowan Univ. (United States)
Mark Turowski, Rowan Univ. (United States)


Published in SPIE Proceedings Vol. 5583:
Environmentally Conscious Manufacturing IV
Surendra M. Gupta, Editor(s)

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