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基于改进鲸鱼算法的建筑构件生产线主计划编制方法 被引量:2

Master Planning Method of Building Component Production Line Based on Improved Whale Algorithm
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摘要 目的研究按层投产的建筑预制构件生产线主计划编制方法,确保编制的主计划能够有效指导实际生产,并最大限度地提高生产效率。方法分析建筑预制构件的生产方式和装配式建筑的建造方式,建立数学模型,提出按层投产的面向建筑构件生产线主计划编制方法;通过设计动态非线性因子、增加惯性权重以及设置概率选择因子的方法改进鲸鱼优化算法,优化周计划投产立数。结果在40次仿真实验中,使用改进鲸鱼优化算法与其他三种算法对比,平均单周内建筑预制构件产量分别提高了6.42%、4.40%和0.95%,平均完工时间分别降低13.74%、7.53%和2.17%。结论编制方法可以有效地提升鲸鱼优化算法的收敛速度和最优解的定位精度,平衡收敛的全局性;按层投产的建筑预制构件生产线主计划编制方法能够有效降低完工时间,最大限度地利用资源,保障生产过程的高效性。 In order to ensure that the prepared plan can be effectively guided in the actual production and maximize production efficiency,it is necessary to study the process of preparing the master plan of an architectural prefabricated component production line that is put into production layer by layer.Additionally,theoretical and methodological support for the formulation of a reasonable master plan of the production line is provided to analyze the production mode of architectural prefabricated components and the construction mode of assembled buildings,establish a mathematical model,propose the main planning method of the production line oriented architectural in the global optimization process to optimize the weekly planned production volume probability selection factors are set.Using the improved whale optimization algorithm in 40 simulation experiments versus the other three algorithms,the average single-week production of prefabricated building components increased by 16.78%,7.74%,and 3.23%,respectively,and the average completion time decreased by 13.1%,5.36%,and 3.64%,respectively.The improved method can effectively improve the convergence speed of the whale optimization algorithm and the positioning accuracy of the optimal solution,and balance the global nature of convergence.The master planning method of building prefabricated component production line that goes into production by layer can effectively reduce the completion time,increase the output,maximize the utilization of resources,and guarantee the high efficiency of the production process.
作者 韩忠华 富若涵 卢铁林 HAN Zhonghua;FU Ruohan;LU Tielin(School of Electrical and Control Engineering,Shenyang Jianzhu University,Shenyang,China,110168;Instrumentation Technology and Economy Institute,Beijing,China,100055)
出处 《沈阳建筑大学学报(自然科学版)》 CAS 北大核心 2024年第6期1116-1125,共10页 Journal of Shenyang Jianzhu University:Natural Science
基金 国家重点研发计划项目(2021YFB3101600) 辽宁省科技厅应用基础研究计划项目(2022JH2/101300253) 辽宁省教育厅高等学校基本科研项目重点项目(LJKZ0583)。
关键词 主计划编制 改进鲸鱼优化算法 建筑预制构件 周投产计划 master plan preparation improved whale optimization algorithm building prefabricated components weekly production schedule
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