Multi-objective Discrete Grey Wolf Optimizer for Solving Stochastic Multi-objective Disassembly Sequencing and Line Balancing Problem

Zhi Wei Zhang; Xi Wang Guo; Meng Chu Zhou; Shi Xin Liu; Liang Qi

doi:10.1109/SMC42975.2020.9283184

Multi-objective Discrete Grey Wolf Optimizer for Solving Stochastic Multi-objective Disassembly Sequencing and Line Balancing Problem

Zhi Wei Zhang, Xi Wang Guo, Meng Chu Zhou, Shi Xin Liu, Liang Qi

Electrical and Computer Engineering

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

9 Scopus citations

Abstract

There is a growing concern in recycling plants for minimizing the negative environmental impacts (such as carbon emissions) of disassembling end-of-life products. Uncertainty caused by their different usage stages exists when disassembling them. In this paper, we propose a stochastic multi-objective disassembly sequencing and line balancing problem based on an AND/OR graph. By considering disassembly failure risk, we construct objectives of maximizing profit and minimizing carbon emission and energy consumption to help sustain economic development. Then, we propose a novel multi-objective discrete grey wolf optimizer to solve it. We show its effectiveness via a product example. The results show the superiority of the proposed algorithm over classical non-dominated sorting genetic algorithm II and multi-objective evolutionary algorithm based on decomposition.

Original language	English (US)
Title of host publication	2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	682-687
Number of pages	6
Volume	2020-October
ISBN (Electronic)	9781728185262
DOIs	https://doi.org/10.1109/SMC42975.2020.9283184
State	Published - Oct 11 2020
Event	2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 - Toronto, Canada Duration: Oct 11 2020 → Oct 14 2020

Conference

Conference	2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020
Country/Territory	Canada
City	Toronto
Period	10/11/20 → 10/14/20

All Science Journal Classification (ASJC) codes

Software
Control and Systems Engineering
Human-Computer Interaction
Computer Science Applications
Electrical and Electronic Engineering

Keywords

Disassembly line balancing
carbon emission
disassembly failure
disassembly sequence
energy-conscious optimization
multi-objective grey wolf optimizer
stochastic simulation

Access to Document

10.1109/SMC42975.2020.9283184

Cite this

Zhang, Z. W., Guo, X. W., Zhou, M. C., Liu, S. X., & Qi, L. (2020). Multi-objective Discrete Grey Wolf Optimizer for Solving Stochastic Multi-objective Disassembly Sequencing and Line Balancing Problem. In 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 (Vol. 2020-October, pp. 682-687). [9283184] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC42975.2020.9283184

@inproceedings{53b3b5478cdf491db4ecd64890664c59,

title = "Multi-objective Discrete Grey Wolf Optimizer for Solving Stochastic Multi-objective Disassembly Sequencing and Line Balancing Problem",

abstract = "There is a growing concern in recycling plants for minimizing the negative environmental impacts (such as carbon emissions) of disassembling end-of-life products. Uncertainty caused by their different usage stages exists when disassembling them. In this paper, we propose a stochastic multi-objective disassembly sequencing and line balancing problem based on an AND/OR graph. By considering disassembly failure risk, we construct objectives of maximizing profit and minimizing carbon emission and energy consumption to help sustain economic development. Then, we propose a novel multi-objective discrete grey wolf optimizer to solve it. We show its effectiveness via a product example. The results show the superiority of the proposed algorithm over classical non-dominated sorting genetic algorithm II and multi-objective evolutionary algorithm based on decomposition.",

keywords = "Disassembly line balancing, carbon emission, disassembly failure, disassembly sequence, energy-conscious optimization, multi-objective grey wolf optimizer, stochastic simulation",

author = "Zhang, {Zhi Wei} and Guo, {Xi Wang} and Zhou, {Meng Chu} and Liu, {Shi Xin} and Liang Qi",

note = "Funding Information: This work is supported in part by Liaoning Province Education, Department Scientific Research Foundation of China under Grand No. L2019027; Liaoning Revitalization Talents Program under Grant No. XLYC1907166; The Natural Science Foundation of Shandong Province under Grant ZR2019BF004. National Natural Science Foundation of China (61573089 and 51405075). Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 ; Conference date: 11-10-2020 Through 14-10-2020",

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doi = "10.1109/SMC42975.2020.9283184",

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Zhang, ZW, Guo, XW, Zhou, MC, Liu, SX & Qi, L 2020, Multi-objective Discrete Grey Wolf Optimizer for Solving Stochastic Multi-objective Disassembly Sequencing and Line Balancing Problem. in 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020. vol. 2020-October, 9283184, Institute of Electrical and Electronics Engineers Inc., pp. 682-687, 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020, Toronto, Canada, 10/11/20. https://doi.org/10.1109/SMC42975.2020.9283184

Multi-objective Discrete Grey Wolf Optimizer for Solving Stochastic Multi-objective Disassembly Sequencing and Line Balancing Problem. / Zhang, Zhi Wei; Guo, Xi Wang; Zhou, Meng Chu et al.

2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020. Vol. 2020-October Institute of Electrical and Electronics Engineers Inc., 2020. p. 682-687 9283184.

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

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AU - Liu, Shi Xin

AU - Qi, Liang

N1 - Funding Information: This work is supported in part by Liaoning Province Education, Department Scientific Research Foundation of China under Grand No. L2019027; Liaoning Revitalization Talents Program under Grant No. XLYC1907166; The Natural Science Foundation of Shandong Province under Grant ZR2019BF004. National Natural Science Foundation of China (61573089 and 51405075). Publisher Copyright: © 2020 IEEE.

PY - 2020/10/11

Y1 - 2020/10/11

N2 - There is a growing concern in recycling plants for minimizing the negative environmental impacts (such as carbon emissions) of disassembling end-of-life products. Uncertainty caused by their different usage stages exists when disassembling them. In this paper, we propose a stochastic multi-objective disassembly sequencing and line balancing problem based on an AND/OR graph. By considering disassembly failure risk, we construct objectives of maximizing profit and minimizing carbon emission and energy consumption to help sustain economic development. Then, we propose a novel multi-objective discrete grey wolf optimizer to solve it. We show its effectiveness via a product example. The results show the superiority of the proposed algorithm over classical non-dominated sorting genetic algorithm II and multi-objective evolutionary algorithm based on decomposition.

AB - There is a growing concern in recycling plants for minimizing the negative environmental impacts (such as carbon emissions) of disassembling end-of-life products. Uncertainty caused by their different usage stages exists when disassembling them. In this paper, we propose a stochastic multi-objective disassembly sequencing and line balancing problem based on an AND/OR graph. By considering disassembly failure risk, we construct objectives of maximizing profit and minimizing carbon emission and energy consumption to help sustain economic development. Then, we propose a novel multi-objective discrete grey wolf optimizer to solve it. We show its effectiveness via a product example. The results show the superiority of the proposed algorithm over classical non-dominated sorting genetic algorithm II and multi-objective evolutionary algorithm based on decomposition.

KW - Disassembly line balancing

KW - carbon emission

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KW - energy-conscious optimization

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M3 - Conference contribution

AN - SCOPUS:85098879001

VL - 2020-October

SP - 682

EP - 687

BT - 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020

Y2 - 11 October 2020 through 14 October 2020

ER -

Zhang ZW, Guo XW, Zhou MC, Liu SX, Qi L. Multi-objective Discrete Grey Wolf Optimizer for Solving Stochastic Multi-objective Disassembly Sequencing and Line Balancing Problem. In 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020. Vol. 2020-October. Institute of Electrical and Electronics Engineers Inc. 2020. p. 682-687. 9283184 doi: 10.1109/SMC42975.2020.9283184

Multi-objective Discrete Grey Wolf Optimizer for Solving Stochastic Multi-objective Disassembly Sequencing and Line Balancing Problem

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