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论文编号：	15936
作者编号：	2320234226
上传时间：	2025/12/19 17:24:32
中文题目：	A公司实车碰撞项目进度管理优化研究
英文题目：	Research on The Optimization of Progress Management of Real Vehicle Collision Projects in Company A
指导老师：	程莉莉
中文关键字：	关键链技术；项目进度管理；汽车碰撞测试
英文关键字：	Critical Chain Technology；Project Schedule Management,；Automotive Crash Testing
中文摘要：	在全球汽车产业向电动化、智能化转型的大背景下，新能源汽车市场呈现爆发式增长态势。中国新能源汽车销量从2011年的不足万辆增长至2025年预计超过1000万辆，年均复合增长率超过65%。这一快速发展对汽车安全测试行业提出了前所未有的挑战，测试需求激增、技术要求提升、时效性要求日趋严格，传统项目管理方法已难以适应行业发展需要。汽车碰撞测试作为保障汽车产品安全性能的核心环节，其项目管理水平直接影响汽车产业的发展质量和竞争力。 本研究以国内领先的汽车安全测试服务提供商A公司为研究对象，针对其实车碰撞测试项目进度管理中存在的问题，运用关键链技术提出系统性的优化解决方案。研究采用理论研究与实证研究相结合的方法，通过文献综述构建理论基础，运用问卷调查和深度访谈分析A公司项目管理现状。调研发现，A公司面临的主要制约因素包括：管理工具不足、技术标准变更、外部环境影响、人员技能问题和设备老化。基于关键链技术核心原理，研究构建了包含关键链识别、三级缓冲体系和动态监控机制的综合性项目进度管理优化方案，最后通过Monte Carlo仿真验证优化方案效果。 仿真结果表明，关键链方法显著提升了项目进度管理绩效：平均工期缩短10.7%，延期率下降55.2%，工期波动性降低38.2%，项目执行的可预测性与稳定性明显增强。研究构建了包含关键链识别、三级缓冲体系和动态监控机制的进度管理优化框架，验证了关键链技术在实验类项目中的有效性。该研究不仅拓展了关键链技术在技术服务业的应用场景，也为汽车安全测试及其他技术密集型服务行业提供了可复制的管理优化路径。
英文摘要：	Against the backdrop of the global automotive industry’s transition toward electrification and intelligence, the new energy vehicle (NEV) market has experienced explosive growth. In China, NEV sales increased from fewer than 10,000 units in 2011 to an estimated over 10 million units by 2025, representing a compound annual growth rate of more than 65%. This rapid expansion has posed unprecedented challenges to the automotive safety testing industry, with surging testing demand, higher technical requirements, and increasingly stringent timeliness expectations. Traditional project management methods can no longer meet these evolving needs. As a critical process for ensuring vehicle safety performance, the management level of automobile crash testing projects directly affects the quality and competitiveness of the automotive industry. This study takes Company A, a leading domestic provider of automotive safety testing services, as the research object. Focusing on the issues in real-vehicle crash test schedule management, it proposes a systematic optimization solution based on Critical Chain Project Management (CCPM). The research adopts a combination of theoretical and empirical approaches: a literature review is conducted to establish the theoretical foundation, while questionnaires and in-depth interviews are used to analyze the current state of project management at Company A. The investigation reveals that the main constraints include insufficient management tools, frequent changes in technical standards, external environmental impacts, limited personnel skills, and equipment aging. Based on the core principles of CCPM, the study develops an integrated project schedule management optimization framework comprising critical chain identification, a three-level buffer system, and a dynamic monitoring mechanism. Finally, Monte Carlo simulation is employed to verify the effectiveness of the proposed optimization scheme. Simulation results indicate that the critical chain method significantly improves project schedule performance: the average project duration was reduced by 10.7%, delay rate decreased by 55.2%, and schedule variability was reduced by 38.2%, enhancing both predictability and stability of execution. The study constructs an integrated progress management optimization framework comprising critical chain identification, a three-level buffer system, and a dynamic monitoring mechanism, demonstrating the effectiveness of CCPM in experimental projects. The findings expand the application of critical chain theory to technical service industries and provide a practical, replicable management optimization approach for automotive safety testing and other technology-intensive service sectors.
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