【作者】 刘晓东；

【导师】 朱磊；

【作者基本信息】 北京航空航天大学 ， 工程管理（专业学位）， 2023， 硕士

【摘要】 本文通过梳理和分析国内外项目进度管理领域的参考文献,对项目进度管理传统和当前各阶段的典型理论和方法进行了回顾与总结,重点针对关键链技术中关键链的识别、缓冲区设置及缓冲区监控进行了评述。关键链技术重视整体和全局最优,各项资源得到有效利用;相较网络计划技术考虑了项目间的资源冲突和关系约束,更符合工程实际情况;为项目管理者控制项目按期完工提供了有效方法。关键链技术的提出和发展对项目进度管理的研究和实践做出了重要贡献,这一技术以独特的缓冲管理机制和新颖的不确定因素处理方式,借助模型和算法的日趋完善,逐步融入到项目管理实践中。本文分析了BF公司项目进度管理的现状,选择丙烯压缩机检修和反应气压缩机检修项目作为研究对象。在传统网络计划技术的基础上,利用关键链优化项目进度计划。其中利用基于随机优先值的遗传算法对关键链进行识别,使用改进的根方差法和基于活动敏感度的缓冲区消耗与关键链进度比例方法分别实现缓冲区的设置和进度监控。利用蒙特卡洛仿真项目完工概率,确定关键链技术优化本项目的可行性。更多还原

【Abstract】 By combing and analyzing the references in the field of project schedule management at home and abroad,this thesis reviews and summarizes the traditional and current typical theories and methods,focusing on the identification of critical chain,buffer setting and buffer monitoring in critical chain method.The critical chain emphasizes the global and overall optimal point of view,so that resources are fully utilized;considering the relationship constraints and resource conflicts between projects,it is more in line with engineering practice;it provides an effective way for project managers to monitor the completion of the project on schedule.The proposal and development of the critical chain method have made important contributions to the research and practice of project schedule management.This technology has been gradually integrated into the project management practice with the help of the increasingly perfect model and algorithm with its unique buffer management mechanism and novel uncertain factors.This paper analyzes the situation of project schedule management in BF Company,and selects Propylene Compressor and Reaction Gas Compressor projects as the research object.Based on the critical path method to identify the critical path,application of critical chain to optimize project schedule.Among them,a genetic algorithm based on priority value is used to identify critical chains,a modified root variance method and a modified static monitoring method are used to achieve buffer setting and schedule monitoring,respectively.A Monte Carlo simulation of the project completion probability is used to determine the feasibility of the critical chain method to optimize this project.更多还原