Target Disassembly Sequencing and Scheme Evaluation for CNC Machine Tools Using Improved Multiobjective Ant Colony Algorithm and Fuzzy Integral

Yixiong Feng, Mengchu Zhou, Guangdong Tian, Zhiwu Li, Zhifeng Zhang, Qin Zhang, Jianrong Tan

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

Disassembly planning aims to perform the optimal disassembly sequence given a used or obsolete product in terms of cost and environmental impact. This paper presents a new multiobjective programming model for the target disassembly sequencing. It proposes an improved multiobjective ant colony algorithm to derive optimal target disassembly sequences. This work also establishes some indices on disassembly scheme evaluation and a fuzzy integral method to evaluate the obtained disassembly scheme. A CNC machine tool example is given to illustrate the proposed models and the effectiveness of the proposed algorithm. Both theoretical and simulation results demonstrate that the proposed approach can perform the quantitative analysis of a disassembly process effectively. Such results can help decision makers select the best plans and sequences when executing a disassembly process of a product.

Original languageEnglish (US)
Article number8412759
Pages (from-to)2438-2451
Number of pages14
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume49
Issue number12
DOIs
StatePublished - 2019

All Science Journal Classification (ASJC) codes

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

Keywords

  • Algorithm
  • disassembly
  • disassembly planning
  • modeling and simulation

Fingerprint Dive into the research topics of 'Target Disassembly Sequencing and Scheme Evaluation for CNC Machine Tools Using Improved Multiobjective Ant Colony Algorithm and Fuzzy Integral'. Together they form a unique fingerprint.

Cite this