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) |
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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 | |
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 |
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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