Human cognitive analysis of disassembly planning using Fuzzy Petri Nets

Ying Tang; Mark Turowski

doi:10.1117/12.569639

Human cognitive analysis of disassembly planning using Fuzzy Petri Nets

Ying Tang, Mark Turowski

Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

6 Scopus citations

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.

Original language	English (US)
Article number	03
Pages (from-to)	23-30
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5583
DOIs	https://doi.org/10.1117/12.569639
State	Published - Dec 1 2004
Event	Environmentally Conscious Manufacturing IV - Philadelphia, PA, United States Duration: Oct 26 2004 → Oct 27 2004

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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