常付华,张燕燕,叶灵云

• 1:郑州商学院智能建造学院

摘要(Abstract)：

预制构件的生产和运输是装配式建造的核心环节，构建科学高效的协同优化方法对保障项目顺利推进、实现项目全周期效益最大化至关重要。聚焦生产-运输环节，构建以最小化最大完工时间和延迟交付时间为目标的多目标协同优化模型。提取5个关键状态特征，设计30种排程策略，并设置奖励函数将排程问题构建为马尔科夫决策过程。集成神经网络结构搭建与经验池分区设置改进的ID3QN算法实现模型求解。基于某企业实际订单数据，设计大中小规模三组仿真实验，通过对比这里所提出的ID3QN算法与DQN、Double DQN以及人工排程方法的求解结果，验证了ID3QN算法在求解复杂协同排程问题中的有效性与可行性，为装配式建造企业预制构件生产-运输协同排程提供了智能化决策支持工具。

关键词(KeyWords)： 装配式建筑预制构件;多目标优化;智能排程;D3QN

Abstract:

Keywords:

基金项目(Foundation): 2025年度河南省高校人文社会科学研究一般项目—“一带一路”背景下“大国工匠”精神赋能河南省建筑业国际化发展策略研究（2025-ZDJH-068）;; 国家社科基金—共同富裕导向下区域协作帮扶的新型合作机制构建与实现路径研究（22BZZ033）

作者(Author): 常付华,张燕燕,叶灵云

DOI: 10.19356/j.cnki.1001-3997.2026.10.006

参考文献(References)：

• [1]李娜，马冉，李龙，等.具有学习效应的预制构件生产调度研究[J].运筹学学报，2025,29(1):19-30.(Li Na,Ma Ran,Li Long,et al.Study on the production scheduling of prefabricated components with learning effect[J].Operations Research Transactions,2025,29(1):19-30.)
• [2]任星辰.装配式BIM技术在建筑全生命周期中的应用[J].铁道工程学报，2022,39(6):90-94.(Ren Xingchen.Application of prefabricated BIM technology in the whole life cycle of building[J].Journal of Railway Engineering Society,2022,39(6):90-94.)
• [3]Sun Lei,Shi Weimin,Chang Xuan,et al.Research on scheduling algorithm of knitting production workshop based on deep reinforcement learning[J].Machines,2007,12(8):579.
• [4]曹哲涵，李峰，周学良，等.NSGA-Ⅱ和红狐算法融合的车架生产调度优化研究[J].制造技术与机床，2025(2):154-163.(Cao Zhehan,Li Feng,Zhou Xueliang,et al.Research on frame production scheduling optimization based on the fusion of NSGA-II and red fox algorithm[J].Manufacturing Technology&Machine Tool,2025(2):154-163.)
• [5]梁望，钱斌，胡蓉，等.两阶段智能优化算法求解紧凑型带钢生产热轧调度问题[J].计算机集成制造系统，2025,31(1):102-116.(Liang Wang,Qian Bin,Hu Rong,et al.Two stage bee colony algorithm for hot rolling scheduling problem in compact strip production[J].Computer Integrated Manufacturing Systems,2025,31(1):102-116.)
• [6]杨逢海，杨晓英，李笑笑.基于改进D3QN的轴承生产智能排程方法[J].机床与液压，2025,53(7):72-80.(Yang Fenghai,Yang Xiaoying,Li Xiaoxiao.Intelligent scheduling method for bearing production based on improved D3QN[J]. Machine Tool&Hydraulics,2025,53(7):72-80.)
• [7]熊福力，李琳琳.考虑生产与运输成本的准时制分布式预制构件生产调度[J].计算机集成制造系统，2024,30(12):4386-4405.(Xiong Fuli,Li Linlin.Just-in-time distributed precast scheduling with considering production and transportation costs[J].Computer Integrated Manufacturing Systems,2024,30(12):4386-4405.)
• [8]汪和平，齐欣然，陈梦凯.基于NSGA-Ⅲ的装配式预制构件流水车间混合生产优化研究[J].管理工程学报，2022,36(1):240-251.(Wang Heping,Qi Xinran,Chen Mengkai.Research on mixed production optimization of prefabricated componentflow shop based on NSGAIII[J].Journal of Industrial Engineering and Engineering Management,2022,36(1):240-251.)
• [9]Du Juan,Xue Yan,Sugumaran V,et al.Improved biogeography-based optimization algorithm for lean production scheduling of prefabricated components[J]. Engineering,Construction and Architectural Management,2023,30(4):1601-1635.
• [10]Zhao Yishi,Du Shaokang,Tu Ming,et al.Multi-objective scheduling optimization of prefabricated components production using improved nondominated sorting generic algorithm II[J].Buildings,2025,15(5):742.
• [11]Huo Zhipeng,Wu Xiaoqiang,Cheng Tao. Scheduling model for prefabricated component assembly,production,and transportation stage based on ga for prefabricated buildings[J].Ieee Access,2024(12):60826-60838.
• [12]Dan Yiran,Sun Chengshuang,Luo Qianmai.Integrated scheduling optimization for multi-line production and transportation of prefabricated components considering shared resources[J].Buildings,2025,15(2):187.
• [13]Yin Jing,Huang Ran,Sun Hao,et al.Multi-objective optimization for coordinated production and transportation in prefabricated construction with on-site lifting requirements[J].Computers&Industrial Engineering,2024(189):110017.
• [14]常春光，代宾宾.预制构件生产-运输分批协同调度双目标优化[J].工业工程与管理，2023,28(4):82-93.Chang Chunguang,Dai Binbin. Bi-objective optimization of prefabricated component production-transportation batching cooperative scheduling[J].Industrial Engineering and Management,2023,28(4):82-93.)
• [15]尹静，孙浩，张恒熙，等.装配式混凝土结构生产运输协同调度[J].科学技术与工程，2021(21):9029-9034.(Yin Jing,Sun Hao,Zhang Hengxi,et al.Coordinated scheduling of production and transportation of prefabricated concrete structures[J].Science Technology and Engineering,2021(21):9029-9034.)
• [16]潘子茜，郗欣甫，李硕，等.改进多目标模糊粒子群的经编机优化调度研究[J].机械设计与制造，2024(12):368-373.(Pan Ziqian,Chi Xinfu,Li Shuo,et al.Research on optimal scheduling of warp knitting machine based on improved multi-objective fuzzy particle swarm[J].Machinery Design&Manufacture,2024(12):368-373.)