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) |
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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 | 420-425 |
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
- disassembly failure
- energy consumption
- multi-objective migratory bird optimizer
- resource constraint
- stochastic simulation