Multi-objective discrete migrating birds optimizer solving multiple-product partial u-shaped disassembly line balancing problem

Guibin Qin, Xiwang Guo, Shixin Liu, Liang Qi, Jian Zhao, Ziyan Zhao, Ying Tang

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

Abstract

The disassembly of end-of-life (EOL) products is increasingly inseparable from the disassembly line. Effective disassembly planning and reasonable disassembly line layout can bring significant benefits to the related industry. Considering the requirements of disassembly enterprises for lean production, this work proposes a multiple-product partial U-shaped disassembly-line-balancing (MPUD) problem. In this MPUD problem, multiple different types of EOL products can be disassembled simultaneously on a U-shaped layout disassembly line. A multi-objective MPUD problem is stated to maximize the disassembly profit and minimize disassembly resource consumption. A multi-objective discrete migrating birds optimizer (MDMBO) is designed to solve it. The proposed MDMBO and two others commonly used multi-objective optimization algorithms are compared for practical cases. The calculation results show that MDMBO's practicability and superiority over its two peers.

Original languageEnglish (US)
Title of host publication2021 29th Mediterranean Conference on Control and Automation, MED 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages59-64
Number of pages6
ISBN (Electronic)9781665422581
DOIs
StatePublished - Jun 22 2021
Event29th Mediterranean Conference on Control and Automation, MED 2021 - Bari, Puglia, Italy
Duration: Jun 22 2021Jun 25 2021

Publication series

Name2021 29th Mediterranean Conference on Control and Automation, MED 2021

Conference

Conference29th Mediterranean Conference on Control and Automation, MED 2021
Country/TerritoryItaly
CityBari, Puglia
Period6/22/216/25/21

All Science Journal Classification (ASJC) codes

  • Decision Sciences (miscellaneous)
  • Engineering (miscellaneous)
  • Control and Optimization

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