摘 要
随着建筑行业规模的不断扩大和工程项目复杂性的持续提升，施工进度计划的编制与动态调整已成为确保项目顺利实施的关键环节。本研究旨在针对传统进度管理方法在应对不确定性因素时的局限性，提出一种基于多维度分析的施工进度计划编制与动态调整方法。通过结合网络计划技术、大数据分析以及人工智能算法，构建了一套能够适应复杂环境变化的进度管理体系。研究首先对施工进度的影响因素进行了系统梳理，并通过层次分析法确定了各因素的权重；其次，提出了基于关键路径法优化的初始进度计划编制模型，该模型能够在资源约束条件下实现工期与成本的均衡；最后，设计了一种基于机器学习的动态调整机制，能够实时监测项目执行状态并预测潜在偏差，从而为决策者提供科学依据。研究结果表明，所提出的编制与调整方法不仅显著提高了进度计划的可行性和准确性，还有效降低了因外部干扰导致的工期延误风险。本研究的主要创新点在于将智能化技术和传统进度管理理论深度融合，为实际工程提供了可操作性强的解决方案，同时为后续相关领域的研究奠定了理论基础。研究成果对提升建筑行业的管理水平和经济效益具有重要意义。
关键词：施工进度计划；动态调整；多维度分析
ABSTRACT
With the continuous expansion of the construction industry and the increasing complexity of engineering projects, the preparation and dynamic adjustment of construction schedules have become critical components to ensure the smooth implementation of projects. This study aims to address the limitations of traditional schedule management methods in coping with uncertain factors by proposing a multidimensional analysis-based approach for the preparation and dynamic adjustment of construction schedules. By integrating network planning techniques, big data analytics, and artificial intelligence algorithms, a robust scheduling management system adaptable to complex environmental changes has been developed. The study first systematically reviews the influencing factors of construction schedules and determines their respective weights using the Analytic Hierarchy Process (AHP). Subsequently, an initial schedule preparation model optimized by the Critical Path Method (CPM) is proposed, which achieves a balance between project duration and cost under resource constraints. Finally, a machine-learning-based dynamic adjustment mechanism is designed to monitor the real-time execution status of projects and predict potential deviations, thereby providing scientific support for decision-makers. The results indicate that the proposed preparation and adjustment method not only significantly enhances the feasibility and accuracy of construction schedules but also effectively reduces the risk of delays caused by external disturbances. The primary innovation of this research lies in the deep integration of intelligent technologies with traditional schedule management theories, offering practical solutions for real-world engineering applications while laying a theoretical foundation for future studies in related fields. The findings hold significant implications for improving management levels and economic benefits in the construction industry.
Keywords: Construction Schedule; Dynamic Adjustment; Multi-dimensional Analysis
目 录
摘 要 I
ABSTRACT II
第1章 绪论 1
1.1 施工进度计划编制的研究背景与意义 1
1.2 动态调整方法的国内外研究现状 1
1.3 本文研究方法与技术路线 2
第2章 施工进度计划编制的核心理论与方法 3
2.1 进度计划编制的基本原则与框架 3
2.2 关键路径法在进度计划中的应用 3
2.3 资源优化对进度计划的影响分析 4
2.4 不确定性条件下的进度计划编制策略 4
第3章 施工进度动态调整的关键技术与模型 6
3.1 动态调整的技术需求与挑战 6
3.2 基于偏差分析的动态调整方法研究 6
3.3 数据驱动的进度调整模型构建 7
3.4 动态调整中的风险评估与控制策略 7
第4章 施工进度计划编制与调整的实践应用研究 9
4.1 实际工程案例的背景与特点分析 9
4.2 进度计划编制在实际工程中的应用研究 9
4.3 动态调整方法在复杂环境中的实施效果 10
4.4 进度管理优化的经验总结与改进建议 10
结论 12
参考文献 13
致 谢 14
