Abstract
With the rising labor costs, traditional manual disassembly methods can no longer meet the demand. The collaborative work of multi-skilled robots in disassembly lines can fully utilize their multi-skilled characteristics and high operational efficiency. This paper investigates the line balancing problem of multi-skilled robot disassembly lines, where the hybrid disassembly lines consist of linear and U-shaped structures. A mathematical model aiming to maximize profit is established. This paper proposes an improved fireworks algorithm to address the aforementioned problem. The validity of the model is verified using CPLEX. The superiority of the algorithm in solving this issue is validated through comparisons with peer swarm intelligence algorithms.
| Original language | English |
|---|---|
| Title of host publication | ICNSC 2024 - 21st International Conference on Networking, Sensing and Control: Artificial Intelligence for the Next Industrial Revolution: Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350365221 |
| DOIs | |
| Publication status | Published - 2024 |
| Externally published | Yes |
| Event | 21st International Conference on Networking, Sensing and Control, ICNSC 2024 - Hangzhou, China Duration: 18 Oct 2024 → 20 Oct 2024 |
Conference
| Conference | 21st International Conference on Networking, Sensing and Control, ICNSC 2024 |
|---|---|
| Abbreviated title | ICNSC 2024 |
| Country/Territory | China |
| City | Hangzhou |
| Period | 18/10/24 → 20/10/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- improved fireworks algorithm
- Multi-skilled robots
- the hybrid disassembly line balancing problem
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