Adaptive fuzzy system for disassembly process planning

Mark Turowski, Ying Tang

Research output: Contribution to conferencePaperpeer-review

8 Scopus citations

Abstract

Disassembly is rapidly growing in importance as manufacturers face increasing pressure to deal with obsolete products in an environmentally responsible and economically sound manner. This paper builds upon our previous work to address uncertainty management and human factors in disassembly. A Fuzzy Petri Net (FPN) model is proposed to mathematically represent uncertain factors in disassembly. An adaptive fuzzy system is then designed to dynamically estimate their impact on the disassembly process. Finding the disassembly path of a discarded product with the highest economic value and prediction confidence is accomplished through a recursive algorithm.

Original languageEnglish (US)
Pages141-146
Number of pages6
DOIs
StatePublished - Dec 1 2005
Event2005 IEEE Networking, Sensing and Control, ICNSC2005 - Tucson, AZ, United States
Duration: Mar 19 2005Mar 22 2005

Other

Other2005 IEEE Networking, Sensing and Control, ICNSC2005
Country/TerritoryUnited States
CityTucson, AZ
Period3/19/053/22/05

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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