Stochastic Disassembly Sequence Optimization for Profit and Energy Consumption

Yaping Fu, Mengchu Zhou, Xiwang Guo, Liang Qi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Industrial products' reuse, recovery and recycling are very important because of their environmental and economic benefits. Effective disassembly sequencing can improve recovery revenue and reduce environment impact. In this work, a stochastic dual-objective disassembly sequencing problem is established, which includes maximizing disassembly profit and minimizing energy consumption. Two popular and classical multi-objective evolutionary algorithms, i.e., nondominated sorting genetic algorithm II and multi-objective evolutionary algorithm based on decomposition, are used to deal with this important problem. By conducting simulation experiments on several numerical cases and analyzing experimental results with two well-known performance metrics, i.e., inverted generational distance and hypervolume, this work concludes that both can be used to obtain highly desired solutions.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1410-1415
Number of pages6
ISBN (Electronic)9781538666500
DOIs
StatePublished - Jan 16 2019
Event2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
Duration: Oct 7 2018Oct 10 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
CountryJapan
CityMiyazaki
Period10/7/1810/10/18

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management
  • Health Informatics
  • Artificial Intelligence
  • Computer Networks and Communications
  • Human-Computer Interaction

Keywords

  • Disassembly sequence optimization
  • energy consumption optimization
  • multi-objective evolutionary algorithm based on decomposition
  • nondominated sorting genetic algorithm II

Fingerprint Dive into the research topics of 'Stochastic Disassembly Sequence Optimization for Profit and Energy Consumption'. Together they form a unique fingerprint.

Cite this