Guo Hui, Wang Jucheng, Sun Jing, Mao Xuezhang
School of Naval Architecture & Ocean Engineering, Jiangsu University of Science and Technology, Room 311, Science and Technology Building, Zhenjiang, Jiangsu Province, People's Republic of China.
Jiangsu Modern Shipbuilding Technology Co., Ltd, Zhenjiang, 212100, China.
Sci Rep. 2024 May 11;14(1):10796. doi: 10.1038/s41598-024-61578-2.
Logistics distribution is one of the main sources of carbon dioxide emissions at present, and there are also such distribution problems in the shipbuilding process. With the increasing attention paid to environmental problems, how to effectively reduce the energy consumption of block transportation and improve the utilization rate of resources in the factory is the key problem that China's shipbuilding industry needs to solve at present. This article considers the time windows for block transportation tasks, as well as the self-loading constraints of different types of flat cars, and establishes an optimization model that minimizes the empty transport time and energy consumption of the flat cars as the optimization objective. Then, an Improved Genetic Whale Optimization Algorithm is designed, which combines the cross and mutation ideas of genetic algorithms and proposes a whale individual position updating mechanism under a mixed strategy. Furthermore, the performance and computational efficiency of the algorithm are verified through comparative analysis with other classical optimization algorithms on standard test examples. Finally, the shipyard's block transportation example proves that the energy-saving ship block transportation scheduling method can effectively improve the efficiency of shipbuilding enterprise's block transportation and reduce the energy consumption in the block transportation process. It proves the engineering practicality of the green dispatching method proposed in this paper, which can further provide a decision-making method for shipyard managers.
物流配送是当前二氧化碳排放的主要来源之一，在船舶建造过程中也存在此类配送问题。随着对环境问题的日益关注，如何有效降低分段运输的能耗并提高工厂内资源利用率是我国船舶工业当前需要解决的关键问题。本文考虑分段运输任务的时间窗以及不同类型平板车的自装载约束，建立了以平板车空驶时间和能耗最小化为优化目标的优化模型。然后，设计了一种改进的遗传鲸鱼优化算法，该算法结合遗传算法的交叉和变异思想，提出了一种混合策略下的鲸鱼个体位置更新机制。此外，通过在标准测试实例上与其他经典优化算法进行对比分析，验证了该算法的性能和计算效率。最后，通过船厂分段运输实例证明，节能型船舶分段运输调度方法能够有效提高造船企业分段运输效率，降低分段运输过程中的能耗。证明了本文提出的绿色调度方法的工程实用性，可为船厂管理人员进一步提供决策方法。
