Fuzzy-petri-net-based disassembly planning considering human factors

Ying Tang, Meng Chu Zhou, Meimei Gao

Research output: Contribution to journalArticlepeer-review

83 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 pressure. Although disassembly in practice is manual and labor intensive, little attention has been paid to the human intervention in the disassembly process. This paper addresses this deficiency by developing a fuzzy attributed Petri net (FAPN) model to mathematically represent uncertainty in disassembly due to a large amount of human intervention. An algorithm based upon this model is further proposed for optimal disassembly planning with a view to making the technique more applicable to real industry settings. The benefit of the proposed model and algorithm is illustrated through the disassembly of a personal computer (PC) in a prototypical disassembly system.

Original languageEnglish (US)
Pages (from-to)718-725
Number of pages8
JournalIEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
Volume36
Issue number4
DOIs
StatePublished - Jul 2006

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Disassembly planning
  • Fuzzy logic
  • Human factors
  • Optimization
  • Petri nets

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