@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 = "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",
year = "2020",
month = oct,
day = "11",
doi = "10.1109/SMC42975.2020.9283184",
language = "English (US)",
series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "682--687",
booktitle = "2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020",
address = "United States",
}