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不确定环境下预制构件生产鲁棒性调度研究

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在确定了预制构件方生产工艺和资源约束情况的基础上,分析了预制构件生产调度计划对鲁棒值的影响;基于关键链技术制定了考虑二次资源冲突的集中缓冲进度计划,构建了以预制构件生产完工时间最短和鲁棒值最大为目标函数的双层规划模型,并通过嵌套式遗传算法对该模型进行求解.实证结果表明:基于该模型得出的调度计划鲁棒值最大且在面对不确定环境时更为稳定.
Research on Robustness Scheduling of Prefabricated Components under Uncertain Environment
Based on determining manufacturing technique of prefabricated components and resource constraint,the influence of production scheduling plan of prefabricated components on the robustness value was studied.On the basis of the key chain technology,a centralized buffer schedule considering secondary resource conflicts was constructed,and a two-layer programming model with the shortest production completion time and maximum robustness value as the objective function was established.A nested genetic algorithm is designed to solve the model.Empirical results show that the obtained scheduling plan on the basis of this model has the largest robustness value and is more stable in the face of uncertain environment.

prefabricated componentproduction schedulingbi-level programminggenetic algorithmrobustness

于淼、兰宁、许音

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沈阳建筑大学管理学院,辽宁沈阳 110168

预制构件 生产调度 双层规划 遗传算法 鲁棒性

辽宁省"兴辽英才计划"项目辽宁省自然科学基金

XLYC22030042022-MS-279

2024

沈阳建筑大学学报(社会科学版)
沈阳建筑大学

沈阳建筑大学学报(社会科学版)

CHSSCD
影响因子:0.784
ISSN:1673-1387
年,卷(期):2024.26(1)
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