首页|基于BIM-遗传算法装配式施工重调度优化研究

基于BIM-遗传算法装配式施工重调度优化研究

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为研究装配式施工调度问题,建立了BIM-遗传算法的装配式建筑施工调度框架,并进行施工构件基本活动分解,计算装配式构件工序时间,提出了装配式施工重调度优化流程.通过案例验证所提框架在施工班组的调度优化效果,结果表明基于初始调度方案,传统右移调度方案作业时间为67.2 h,利用本文所提方法,将作业时间缩短至41.4 h,提升率约38%,显著减少了施工作业时间,实现高效的队伍组织和资源分配.
Optimization of Assembly Construction Rescheduling Based on BIM-Genetic Algorithm
To study the assembly construction scheduling problem, an assembly construction scheduling framework with BIM-genetic algorithm was established, and the basic activity decomposition of construction components was carried out to calculate the process time of assembly components. Hence, the assembly construction rescheduling optimization process was proposed. The scheduling optimization effect of the proposed framework process in the construction team was verified, and the results showed that based on the initial scheduling plan, the operation time of the traditional right-shift scheduling plan was 67.2 h, and the total construction time was shortened to 48.3 h by using the re-scheduling process method proposed in this paper, with an enhancement rate of about 28%, which achieved construction operation time reduction, efficient team organization and resource allocation.

BIMgenetic algorithmassembled typeconstruction scheduling

戴成元、陈阳、梁邦勋、刘其舟

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桂林理工大学广西建筑新能源与节能重点实验室,广西 桂林 541004

桂林理工大学土木与建筑工程学院,广西 桂林 541004

BIM 遗传算法 装配式 施工调度

国家自然科学基金项目广西自然科学基金面上项目广西绿色建材与建筑工业化重点实验室基金项目

520680132022GXNSFAA035581桂科能22-J-21-28

2024

安徽建筑大学学报
安徽建筑工业学院

安徽建筑大学学报

影响因子:0.354
ISSN:2095-8382
年,卷(期):2024.32(3)