Multi-objective Optimizer with Collaborative Resource Allocation Strategy for U-shaped Stochastic Disassembly Line Balancing Problem

Song Xu; Xiwang Guo; Shixin Liu; Liang Qi; Shujin Qin; Ziyan Zhao; Ying Tang

doi:10.1109/SMC52423.2021.9659105

Multi-objective Optimizer with Collaborative Resource Allocation Strategy for U-shaped Stochastic Disassembly Line Balancing Problem

Song Xu, Xiwang Guo, Shixin Liu, Liang Qi, Shujin Qin, Ziyan Zhao, Ying Tang

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

Disassembly Line Balancing Problems have received much attention from practitioners and researchers due to their importance in sustainable economic development. This work focuses on a U-shaped disassembly line balancing problem and establishes its mathematical model by considering multiple optimization objectives, disassembly task priority relationship, staff training cost, and the cycle time of disassembly workstations. Considering the characteristics of the problem, it proposes a collaborative resource allocation strategy for a multi-objective evolutionary algorithm based on decomposition, resulting a new method called MOEA/D-CRA for short. It allocates corresponding computing resources according to the importance of each subproblem. Four cases are used to compare the MOEA/D-CRA with two well-known algorithms. Experimental results prove that it is significantly better than its two peers.

Original language	English (US)
Title of host publication	2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2316-2321
Number of pages	6
ISBN (Electronic)	9781665442077
DOIs	https://doi.org/10.1109/SMC52423.2021.9659105
State	Published - 2021
Event	2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021 - Melbourne, Australia Duration: Oct 17 2021 → Oct 20 2021

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)	1062-922X

Conference

Conference	2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021
Country/Territory	Australia
City	Melbourne
Period	10/17/21 → 10/20/21

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Control and Systems Engineering
Human-Computer Interaction

Access to Document

10.1109/SMC52423.2021.9659105

Cite this

Xu, S., Guo, X., Liu, S., Qi, L., Qin, S., Zhao, Z., & Tang, Y. (2021). Multi-objective Optimizer with Collaborative Resource Allocation Strategy for U-shaped Stochastic Disassembly Line Balancing Problem. In 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021 (pp. 2316-2321). (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC52423.2021.9659105

Xu, Song ; Guo, Xiwang ; Liu, Shixin et al. / Multi-objective Optimizer with Collaborative Resource Allocation Strategy for U-shaped Stochastic Disassembly Line Balancing Problem. 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 2316-2321 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

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title = "Multi-objective Optimizer with Collaborative Resource Allocation Strategy for U-shaped Stochastic Disassembly Line Balancing Problem",

abstract = "Disassembly Line Balancing Problems have received much attention from practitioners and researchers due to their importance in sustainable economic development. This work focuses on a U-shaped disassembly line balancing problem and establishes its mathematical model by considering multiple optimization objectives, disassembly task priority relationship, staff training cost, and the cycle time of disassembly workstations. Considering the characteristics of the problem, it proposes a collaborative resource allocation strategy for a multi-objective evolutionary algorithm based on decomposition, resulting a new method called MOEA/D-CRA for short. It allocates corresponding computing resources according to the importance of each subproblem. Four cases are used to compare the MOEA/D-CRA with two well-known algorithms. Experimental results prove that it is significantly better than its two peers.",

author = "Song Xu and Xiwang Guo and Shixin Liu and Liang Qi and Shujin Qin and Ziyan Zhao and Ying Tang",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021 ; Conference date: 17-10-2021 Through 20-10-2021",

year = "2021",

doi = "10.1109/SMC52423.2021.9659105",

language = "English (US)",

series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Xu, S, Guo, X, Liu, S, Qi, L, Qin, S, Zhao, Z & Tang, Y 2021, Multi-objective Optimizer with Collaborative Resource Allocation Strategy for U-shaped Stochastic Disassembly Line Balancing Problem. in 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, Institute of Electrical and Electronics Engineers Inc., pp. 2316-2321, 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021, Melbourne, Australia, 10/17/21. https://doi.org/10.1109/SMC52423.2021.9659105

Multi-objective Optimizer with Collaborative Resource Allocation Strategy for U-shaped Stochastic Disassembly Line Balancing Problem. / Xu, Song; Guo, Xiwang; Liu, Shixin et al.
2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 2316-2321 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Multi-objective Optimizer with Collaborative Resource Allocation Strategy for U-shaped Stochastic Disassembly Line Balancing Problem

AU - Xu, Song

AU - Guo, Xiwang

AU - Liu, Shixin

AU - Qi, Liang

AU - Qin, Shujin

AU - Zhao, Ziyan

AU - Tang, Ying

PY - 2021

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N2 - Disassembly Line Balancing Problems have received much attention from practitioners and researchers due to their importance in sustainable economic development. This work focuses on a U-shaped disassembly line balancing problem and establishes its mathematical model by considering multiple optimization objectives, disassembly task priority relationship, staff training cost, and the cycle time of disassembly workstations. Considering the characteristics of the problem, it proposes a collaborative resource allocation strategy for a multi-objective evolutionary algorithm based on decomposition, resulting a new method called MOEA/D-CRA for short. It allocates corresponding computing resources according to the importance of each subproblem. Four cases are used to compare the MOEA/D-CRA with two well-known algorithms. Experimental results prove that it is significantly better than its two peers.

AB - Disassembly Line Balancing Problems have received much attention from practitioners and researchers due to their importance in sustainable economic development. This work focuses on a U-shaped disassembly line balancing problem and establishes its mathematical model by considering multiple optimization objectives, disassembly task priority relationship, staff training cost, and the cycle time of disassembly workstations. Considering the characteristics of the problem, it proposes a collaborative resource allocation strategy for a multi-objective evolutionary algorithm based on decomposition, resulting a new method called MOEA/D-CRA for short. It allocates corresponding computing resources according to the importance of each subproblem. Four cases are used to compare the MOEA/D-CRA with two well-known algorithms. Experimental results prove that it is significantly better than its two peers.

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Xu S, Guo X, Liu S, Qi L, Qin S, Zhao Z et al. Multi-objective Optimizer with Collaborative Resource Allocation Strategy for U-shaped Stochastic Disassembly Line Balancing Problem. In 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 2316-2321. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). doi: 10.1109/SMC52423.2021.9659105

Multi-objective Optimizer with Collaborative Resource Allocation Strategy for U-shaped Stochastic Disassembly Line Balancing Problem

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