Skip to main navigation Skip to search Skip to main content

Modeling and analysis of disassembly processes of motors using Petri nets

Research output: Contribution to journalConference articlepeer-review

Abstract

Recycling and demanufacturing have become more and more important due to the increasing environmental problems and depleting natural resources. Industry has been forced to deal with product take-back issues. The used products, to be disassembled, exhibit much uncertainty in their property, component conditions and configuration structures. This paper presents a methodology to model and analyze the demanufacturing process for motors using Petri net (PN) technique. A PN based take-back product explosion topology and its precedence relations during disassembly are presented. We have developed an adaptive scheme to investigate the demanufactured processes by a parametric methodology and tree theory in a PN framework. An adaptive disassembly planner is used to find the flexible operation path and maximum benefit procedure once the product-disassembly parameters are known. An adaptive method to study the critical environmental problem is developed and verified by using a motor demanufacturing model. The result of this approach has thus enhanced the idea that the end-of-life retirement of products should be endowed new life and recovery.

Original languageEnglish (US)
Pages (from-to)405-410
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume4
StatePublished - 2002
Event2002 IEEE International Conference on Systems, Man and Cybernetics - Yasmine Hammamet, Tunisia
Duration: Oct 6 2002Oct 9 2002

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Hardware and Architecture

Keywords

  • Demanufacturing
  • Disassembly Petri nets (DPNs)
  • Disassembly planning
  • Recycling

Fingerprint

Dive into the research topics of 'Modeling and analysis of disassembly processes of motors using Petri nets'. Together they form a unique fingerprint.

Cite this