摘要
装配式建筑项目所需物料如预制构件等因体积大、数量多、运输难、现场存储场地受限等因素的影响,使得物料订货计划与项目施工计划的配合极为重要.为此,在原项目调度与物料订货优化问题模型基础上,针对多模式重复性项目特点,将单一活动扩展到多个重复单元,构建了包含物料订货费用在内的项目总费用最小化模型.在遗传算法框架下,结合重复性项目调度方法和最大零件周期收益法,求解了最优模式组合下的项目调度计划和物料订货计划.通过算例分析和大规模仿真实验对比分析,结果表明,提出的优化方法能够得到总成本更小的项目调度计划,并能够减少10%到30%的物料订货费用.
The materials required for prefabricated building projects,such as prefabricated components,are large in size and quantity,difficult to transport,hard to store,which makes coordinating the material ordering plan with the project construction plan extremely important.For this reason,based on the original Project Scheduling and Material Ordering Problem model,this paper extends a single unit to multiple repeating u-nits according to the characteristics of multi-model repetitive projects,and builds a model for minimizing the total project cost including the material ordering cost.Under the framework of the Genetic Algorithm,com-bined with the Repetitive Scheduling Method and the Maximum Part-period Gain,this paper solves the project scheduling plan and material ordering plan under the optimal mode combination.Through the analysis of real examples and extensive computational experiments,the results show that the optimization method proposed in this paper can obtain a better project scheduling plan and material ordering plan,which can reduce the material ordering cost by 10%to 30%.
作者
雷晓琪
崔南方
杨丁凤
张艳
Lei Xiaoqi;Cui Nanfang;Yang Dingfeng;Zhang Yan(School of Management,Huazhong University of Science and Technology,Wuhan 430074,China;School of Economics and Management,Dongguan University of Technology,Dongguan 523808,China)
出处
《系统工程学报》
CSCD
北大核心
2024年第5期676-690,共15页
Journal of Systems Engineering
基金
国家自然科学基金资助项目(71971094)
广东省基础与应用基础研究基金资助项目(2021A1515110969).
关键词
集成订货
多模式
重复性项目调度
遗传算法
order consolidation
multi-mode
repetitive project scheduling
genetic algorithm
