Multi-Objective Discrete Migratory Bird Optimizer for Stochastic Disassembly Line Balancing Problem

Gui Bin Qin; Xi Wang Guo; Meng Chu Zhou; Shi Xin Liu; Liang Qi

doi:10.1109/SMC42975.2020.9283371

Multi-Objective Discrete Migratory Bird Optimizer for Stochastic Disassembly Line Balancing Problem

Gui Bin Qin, 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

Abstract

Timely and proper recycling of end-of-life products promotes the sustainable development of our human society. Cost-effective and energy-efficient disassembly is a crucial step to realize such recycling. A disassembly process is usually uncertain because of the different quality of subassemblies in an end-of-life product. This work considers resource constraints and operation failure in such a process. A novel mathematical model is formulated with the objectives to maximize profit, minimize energy consumption, and minimize the total need for disassembly resources. A new solution method called a multi-objective discrete migratory bird optimizer is proposed to solve it. A real-life case is given to show its effectiveness and feasibility. Experimental results show that the superiority of the proposed algorithm over a well-known nondominated sorting genetic algorithm II and a multi-objective grey wolf optimizer.

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	420-425
Number of pages	6
Volume	2020-October
ISBN (Electronic)	9781728185262
DOIs	https://doi.org/10.1109/SMC42975.2020.9283371
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	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
disassembly failure
energy consumption
multi-objective migratory bird optimizer
resource constraint
stochastic simulation

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Cite this

Qin, G. B., Guo, X. W., Zhou, M. C., Liu, S. X., & Qi, L. (2020). Multi-Objective Discrete Migratory Bird Optimizer for Stochastic Disassembly Line Balancing Problem. In 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 (Vol. 2020-October, pp. 420-425). [9283371] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC42975.2020.9283371

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title = "Multi-Objective Discrete Migratory Bird Optimizer for Stochastic Disassembly Line Balancing Problem",

abstract = "Timely and proper recycling of end-of-life products promotes the sustainable development of our human society. Cost-effective and energy-efficient disassembly is a crucial step to realize such recycling. A disassembly process is usually uncertain because of the different quality of subassemblies in an end-of-life product. This work considers resource constraints and operation failure in such a process. A novel mathematical model is formulated with the objectives to maximize profit, minimize energy consumption, and minimize the total need for disassembly resources. A new solution method called a multi-objective discrete migratory bird optimizer is proposed to solve it. A real-life case is given to show its effectiveness and feasibility. Experimental results show that the superiority of the proposed algorithm over a well-known nondominated sorting genetic algorithm II and a multi-objective grey wolf optimizer.",

keywords = "Disassembly line balancing, disassembly failure, energy consumption, multi-objective migratory bird optimizer, resource constraint, stochastic simulation",

author = "Qin, {Gui Bin} 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 (L2019027); Liaoning Revitalization Talents Program (XLYC1907166); Natural Science Foundation of Shandong Province under (ZR2019BF004); and National Natural Science Foundation of China (61573089).; 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 ; Conference date: 11-10-2020 Through 14-10-2020",

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Qin, GB, Guo, XW, Zhou, MC, Liu, SX & Qi, L 2020, Multi-Objective Discrete Migratory Bird Optimizer for Stochastic Disassembly Line Balancing Problem. in 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020. vol. 2020-October, 9283371, Institute of Electrical and Electronics Engineers Inc., pp. 420-425, 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020, Toronto, Canada, 10/11/20. https://doi.org/10.1109/SMC42975.2020.9283371

Multi-Objective Discrete Migratory Bird Optimizer for Stochastic Disassembly Line Balancing Problem. / Qin, Gui Bin; Guo, Xi Wang; Zhou, Meng Chu; Liu, Shi Xin; Qi, Liang.

2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020. Vol. 2020-October Institute of Electrical and Electronics Engineers Inc., 2020. p. 420-425 9283371.

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

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AU - Qi, Liang

N1 - Funding Information: This work is supported in part by Liaoning Province Education Department Scientific Research Foundation of China (L2019027); Liaoning Revitalization Talents Program (XLYC1907166); Natural Science Foundation of Shandong Province under (ZR2019BF004); and National Natural Science Foundation of China (61573089).

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N2 - Timely and proper recycling of end-of-life products promotes the sustainable development of our human society. Cost-effective and energy-efficient disassembly is a crucial step to realize such recycling. A disassembly process is usually uncertain because of the different quality of subassemblies in an end-of-life product. This work considers resource constraints and operation failure in such a process. A novel mathematical model is formulated with the objectives to maximize profit, minimize energy consumption, and minimize the total need for disassembly resources. A new solution method called a multi-objective discrete migratory bird optimizer is proposed to solve it. A real-life case is given to show its effectiveness and feasibility. Experimental results show that the superiority of the proposed algorithm over a well-known nondominated sorting genetic algorithm II and a multi-objective grey wolf optimizer.

AB - Timely and proper recycling of end-of-life products promotes the sustainable development of our human society. Cost-effective and energy-efficient disassembly is a crucial step to realize such recycling. A disassembly process is usually uncertain because of the different quality of subassemblies in an end-of-life product. This work considers resource constraints and operation failure in such a process. A novel mathematical model is formulated with the objectives to maximize profit, minimize energy consumption, and minimize the total need for disassembly resources. A new solution method called a multi-objective discrete migratory bird optimizer is proposed to solve it. A real-life case is given to show its effectiveness and feasibility. Experimental results show that the superiority of the proposed algorithm over a well-known nondominated sorting genetic algorithm II and a multi-objective grey wolf optimizer.

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