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作 者:卢辉 黄青 谢勇[2] LU Hui;HUANG Qing;XIE Yong(School of Economics and Management,China University of Geosciences,Wuhan 430074,China;School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China)
机构地区:[1]中国地质大学(武汉)经济管理学院,湖北武汉430074 [2]华中科技大学人工智能与自动化学院,湖北武汉430074
出 处:《工程管理学报》2023年第3期31-35,共5页Journal of Engineering Management
基 金:国家自然科学基金青年科学基金项目(72001195).
摘 要:工厂化建造时空跨度大,地理位置分散等特点,使得钢箱梁的生产与装配在施工调度和控制上协同困难,利益冲突频发。考虑到生产与装配的异地性与同时性,建立钢箱梁的生产-装配集成调度模型,并设计一种基于最优开工时间算法的遗传算法集成调度算法,在外层采用遗传算法针对装配方案编码,然后调用内层最优开工时间算法匹配最优的生产计划,以实现集成优化生产计划和装配方案。研究表明,建立的生产与装配集成调度模型及算法能够提升钢箱梁生产和装配阶段的同步性,与独立决策相比可以节约成本。Because of large space-time and scattered geographical location,off-site production and on-site assembly of steel box girders are difficult to collaborate on scheduling and control,resulting in frequent profit conflicts.Considering the remoteness and simultaneity between the production and assembly of preforms,this paper proposes a production-assembly integrated optimization scheduling model and a genetic algorithm with the optimal start time algorithm.In the outer layer,the genetic algorithm is used to encode the assembly.Then,the optimal start-up time algorithm of the inner layer is invoked to match the optimal production,which is transmitted to the genetic algorithm of the outer layer to realize the coordination of the production and assembly plan.The results show that the integrated optimization scheduling framework based on off-site production and on-site assembly can improve the synchronization between preform production and assembly stages.This can save costs compared with the separate decision making.
分 类 号:TU741[建筑科学—建筑技术科学]
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