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| Multi-objective Optimization of Distributed Flexible Flow Workshop Scheduling Based on the Total Carbon Emissions of Trucks and Total Cost |
| Received:December 13, 2024 |
| DOI：10.11980/j.issn.0254-508X.2025.02.004 |
| Key Words:production scheduling distributed flexible flow workshop total carbon emissions of trucks multi-objective particle swarm optimization |
| Fund Project:国家自然科学基金（52305550）。 |
| Author Name | Affiliation | Postcode | | LIANG Wenyi | School of Electronics and Information Engineering, Wuyi University, Jiangmen, Guangdong Province, 529020 | 529020 | | ZENG Zhiqiang* | School of Electronics and Information Engineering, Wuyi University, Jiangmen, Guangdong Province, 529020 | 529020 | | HONG Zhiyong | School of Electronics and Information Engineering, Wuyi University, Jiangmen, Guangdong Province, 529020 | 529020 |
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| Abstract:In this study， a model of distributed flexible flow workshop scheduling and logistics collaborative optimization was constructed， with total cost and total carbon emissions of trucks as the optimization objectives. The multi-objective particle swarm optimization based framework was used to improve the global leader selection strategy and maintenance plan for the global leader profile. The simulation experiments were conducted， based on the real data of a tissue paper manufacturing enterprises， and multiple sets of examples were generated for testing the performance of the algorithm. The results showed that the above two improved strategies could effectively enhance the ability of multi-objective particle swarm optimization algorithm to find the optimal solution. Compared with other particle swarm optimization algorithm in 10 cases， the improved multi-objective particle swarm optimization reduced the average total cost by 3.29% and the average total carbon emissions of trucks by 11.1%. |
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