Hybrid Disassembly Lines Considering Employee Training Targets and An Improved Multi-neighborhood Tabu Search Algorithm

Ermeng Ma, Peisheng Liu, Xiwang Guo, Jiacun Wang, Shujin Qin, Ying Tang

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

2 Scopus citations

Abstract

Over the years, the disassembly and recycling of waste products have attracted more and more social attention. Nowadays, in many small companies, the cost of pre-job training is sometimes not paid back because of the high turnover rate of employees. This paper proposes on-the-job-training for disassembly employees. The mathematical model of multi-product mixed disassembly balancing problem that considers employee training target is discussed. To maximize the disassembly profit, a tabu search algorithm based on an improved multi-neighborhood search is used to solve this problem. The results show that the improved multi-neighborhood tabu search can quickly obtain the approximate optimal feasible solution.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Cyber-Physical Social Intelligence, ICCSI 2022
EditorsXuemin Chen, Jun Wang, Jiacun Wang, Ying Tang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages321-326
Number of pages6
ISBN (Electronic)9781665498357
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 International Conference on Cyber-Physical Social Intelligence, ICCSI 2022 - Nanjing, China
Duration: Nov 18 2022Nov 21 2022

Publication series

NameProceedings of the International Conference on Cyber-Physical Social Intelligence, ICCSI 2022

Conference

Conference2022 International Conference on Cyber-Physical Social Intelligence, ICCSI 2022
Country/TerritoryChina
CityNanjing
Period11/18/2211/21/22

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Cognitive Neuroscience

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