Assembly line balancing with energy consumption optimization using Substituted Tiki Taka Algorithm
Assembly line balancing is assigning tasks to workstations in a production line to achieve optimal productivity. In recent years, the importance of energy studies in assembly line balancing has gained significant attention. Most existing publications focused on energy consumption in robotic assembly...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
Springer
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41082/1/2024%20STTA%20ALB%20EC%20PIOS%20Journal.pdf http://umpir.ump.edu.my/id/eprint/41082/7/Assembly%20Line%20Balancing%20with%20Energy%20Consumption%20Optimization.pdf http://umpir.ump.edu.my/id/eprint/41082/ https://doi.org/10.1007/s41660-024-00413-7 https://doi.org/10.1007/s41660-024-00413-7 |
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| Summary: | Assembly line balancing is assigning tasks to workstations in a production line to achieve optimal productivity. In recent years, the importance of energy studies in assembly line balancing has gained significant attention. Most existing publications focused on energy consumption in robotic assembly line balancing. This paper focuses on assembly line balancing with energy consumption in semi-automatic operation. The algorithm serves to improve the exploration to achieve a high-quality solution in a non-convex combinatorial problem, such as assembly line balancing with energy consumption. A novel approach called the Substituted Tiki-Taka Algorithm is introduced by incorporating a substitution mechanism to enhance exploration, thus improving the combinatorial optimization process. To evaluate the effectiveness of the Substituted Tiki-Taka Algorithm, a computational experiment is conducted using assembly line balancing with energy consumption benchmark problems. Additionally, an industrial case study is undertaken to validate the proposed model and algorithm. The results demonstrate that the Substituted Tiki-Taka Algorithm outperforms other existing algorithms in terms of line efficiency and energy consumption reduction. The findings from the case study indicate that implementing the Substituted Tiki-Taka Algorithm significantly increases line efficiency while simultaneously reducing energy consumption. These results highlight the potential of the proposed algorithm to positively impact manufacturing operations by achieving a balance between productivity and energy efficiency in assembly line systems. |
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