预制混凝土
计算机科学
调度(生产过程)
地铁列车时刻表
人气
作业车间调度
生产(经济)
数学优化
工业工程
运筹学
数学
工程类
土木工程
操作系统
心理学
社会心理学
经济
宏观经济学
作者
Yiran Dan,Guiwen Liu,Chao Mao,Kaijian Li,Pengpeng Xu
标识
DOI:10.1016/j.engappai.2023.107163
摘要
With the increasing popularity of prefabricated construction around the world, precast plants face increasingly complex production scenarios. Because it is important for precast components to be delivered on time and assembled according to the planned schedule, it is a common phenomenon to increase production shifts and break the routine production schedule to meet time-pressured orders. But there is still a lack of research on flowshop multi-shift scheduling methods in precast production. To address this issue, a flowshop scheduling optimization model of multi-shift precast production with on-time delivery is established, which is the application in civil engineering. A solution framework and its corresponding optimization processes are designed to avoid a combinatorial explosion of solutions and save solution time, which is contribution in artificial intelligence. The validity of the model is proven using a practical case. The results show that, compared to the conventional scheduling method, the proposed method significantly reduces costs under on-time delivery and stably obtains optimized feasible scheduling schemes.
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