Energy-Efficient Robotic Parallel Disassembly Sequence Planning for End-of-Life Products
| Autor: | Kaipu Wang, Xinyu Li, Liang Gao, Peigen Li |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Artificial bee colony algorithm
Mathematical optimization Sequence planning Job shop scheduling Control and Systems Engineering Computer science Benchmark (computing) Environmental pollution Energy consumption Electrical and Electronic Engineering Hardware_REGISTER-TRANSFER-LEVELIMPLEMENTATION Economic benefits Efficient energy use |
| Zdroj: | IEEE Transactions on Automation Science and Engineering. 19:1277-1285 |
| ISSN: | 1558-3783 1545-5955 |
| DOI: | 10.1109/tase.2021.3061506 |
| Popis: | End-of-life (EOL) products contain many valuable parts and materials. The timely disassembly and recycling of EOL products can bring considerable economic benefits and reduce environmental pollution. To reduce the cost of manual disassembly, robotic disassembly has become one of the main methods used to dismantle EOL products. In addition, parallel disassembly can shorten the makespan of EOL products. Therefore, this article focuses on a new problem involving robotic parallel disassembly sequence planning for EOL products and establishes a corresponding multiobjective model to minimize the makespan and energy consumption. To obtain high-quality disassembly schemes, a discrete artificial bee colony algorithm based on problem characteristics is proposed. The performance of the proposed algorithm is verified by solving 32 benchmark problems and a comparison with three well-known multiobjective algorithms. The proposed model and method are applied to a real-world LCD TV disassembly case, and multiple preferred disassembly schemes are obtained. The results show that the proposed model and method can effectively shorten the makespan and reduce energy consumption. |
| Databáze: | OpenAIRE |
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