Stochastic dual-objective disassembly sequence planning with consideration of learning effect

Xiwang Guo, Mengchu Zhou, Yaping Fu, Liang Qi, Dan You

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

1 Scopus citations

Abstract

In an actual remanufacturing process, a human operator is able to continuously learn the disassembly knowledge of an end-of-life product when he/she disassembles it, which makes him/her disassemble it more proficiently. In order to describe this feature, this work proposes a stochastic dual-objective disassembly sequencing planning problem considering human learning effects. In this problem, actual disassembly and setup time of operations are a function of their normal time and starting time. A new mathematical model is established to maximize total disassembly profit and minimize disassembly time. In order to solve this problem efficiently, a multi-population multi-objective evolutionary algorithm is developed. In this algorithm, some special strategies, e.g., solution representation, crossover operator and mutation operator, are newly designed based on this problem's characteristics. Its effectiveness is well illustrated through several numerical cases and by comparing it with two prior approaches, i.e., nondominated sorting genetic algorithm II and multi-objective evolutionary algorithm based on decomposition. Experimental results demonstrate that the proposed algorithm performs well in solving this problem.

Original languageEnglish (US)
Title of host publicationProceedings of the 2019 IEEE 16th International Conference on Networking, Sensing and Control, ICNSC 2019
EditorsHaibin Zhu, Jiacun Wang, MengChu Zhou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages29-34
Number of pages6
ISBN (Electronic)9781728100838
DOIs
StatePublished - May 2019
Event16th IEEE International Conference on Networking, Sensing and Control, ICNSC 2019 - Banff, Canada
Duration: May 9 2019May 11 2019

Publication series

NameProceedings of the 2019 IEEE 16th International Conference on Networking, Sensing and Control, ICNSC 2019

Conference

Conference16th IEEE International Conference on Networking, Sensing and Control, ICNSC 2019
CountryCanada
CityBanff
Period5/9/195/11/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Control and Optimization
  • Instrumentation

Keywords

  • Disassembly sequencing planning problem
  • Learning effect
  • Multi-objective evolutionary algorithm
  • Multi-population
  • Remanufacture
  • Stochastic dual-objective

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