Solutions for Mixed-Model Disassembly Line Balancing with Multi-robot Workstations

Yuanjun Laili*, Yongjing Wang, Yilin Fang, Duc Truong Pham

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter discusses serial paced mixed-model disassembly line balancing with multi-robot workstations (MDLB-MR). The main difference between MDLB-MR and classic simple disassembly lines is the number of robots that can be allocated to each workstation. In MDLB-MR, a set of EOL products can be simultaneously disassembled and each product has its own set of precedence relations. The chapter compares the performance of different evolutionary algorithms (EAs) and concludes that the Problem-specific Bi-criterion EA (PBEA) outperforms the other EAs tested. Furthermore, a combination of non-Pareto-based EAs with the Pareto selection criterion can be effective at solving MDLB-MR problems.

Original languageEnglish
Title of host publicationOptimisation of Robotic Disassembly for Remanufacturing
PublisherSpringer
Pages153-180
Number of pages28
Edition1
ISBN (Electronic)9783030817992
ISBN (Print)9783030817985, 9783030818012
DOIs
Publication statusPublished - 18 Aug 2021

Publication series

NameSpringer Series in Advanced Manufacturing
ISSN (Print)1860-5168
ISSN (Electronic)2196-1735

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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