Human cognitive analysis of disassembly planning using Fuzzy Petri Nets

Ying Tang, Mark Turowski

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations


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 languageEnglish (US)
Article number03
Pages (from-to)23-30
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2004
Externally publishedYes
EventEnvironmentally Conscious Manufacturing IV - Philadelphia, PA, United States
Duration: Oct 26 2004Oct 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


Dive into the research topics of 'Human cognitive analysis of disassembly planning using Fuzzy Petri Nets'. Together they form a unique fingerprint.

Cite this