联系我们

论文查询结果	返回搜索

论文编号：	15597
作者编号：	2320234223
上传时间：	2025/12/7 11:39:45
中文题目：	航天H研究所K项目风险管理研究
英文题目：	Research on Risk Management of Project K at H Aerospace Research Institute
指导老师：	李勇建
中文关键字：	航天工程；风险管理；层次分析法；模糊综合评价
英文关键字：	Aerospace Engineering; Risk Management; Analytic Hierarchy Process (AHP); Fuzzy Comprehensive Evaluation
中文摘要：	摘要 当今世界正经历百年未有之大变局，大国博弈愈演愈烈。航天工程项目作为国家战略威慑与科技实力的核心载体，因技术复杂度高、研制周期长、多学科交叉融合等特性，面临显著风险挑战。在国家安全战略与航天强国建设的驱动下，风险管理已成为航天科研机构的核心能力，直接关乎国防安全底线与大国战略主动权。本文以航天H研究所K项目为研究对象，针对航天工程科研项目普遍存在的风险管理流程不健全、量化评估缺失、应对机制薄弱等问题，开展系统性风险管理研究。 本文结合项目风险管理理论，从航天H研究所K项目研发过程开展风险管理研究。首先，综合运用文献研究法、头脑风暴法与工作分解结构-风险分解结构矩阵法，系统识别出K项目在计划、技术、组织、管理、生产、成本六大领域的24项关键风险指标，构建了覆盖项目全生命周期的风险指标体系。在此基础上，建立风险评价模型，采用层次分析法（AHP）确定各风险指标权重，明确了核心风险源，来自技术风险、计划风险和生产风险。结合模糊综合评价法量化评估风险等级，评估出各类风险隶属等级以及项目总体风险水平。最后，根据评估结果分别对高、中、低风险指标提出应对策略和具体措施，同时做好全过程的风险实时监控，构建PDCA循环监控机制，通过风险审查会议、跟踪检查单及预警系统实现动态管控。 研究通过从组织到制度到流程的工作逻辑，为H研究所策划出了一个系统性强清晰完整、具备可操作性的风险管理优化方案，通过理论与实践结合，在项目开发不同阶段运用风险管理工具和方法，构建适用于H研究所项目的风险管理模型，并在实践中得到验证，可有效的控制和降低项目研发过程中风险的发生和可能的损失。本研究不仅为航天项目提供了可操作的风险管理路径，也为复杂技术项目的风险防控创新提供了理论支撑与实践参考。助力保障国家战略任务，提升航天工程项目成功率。 关键词：航天工程；风险管理；层次分析法；模糊综合评价
英文摘要：	Abstract The world is currently experiencing unprecedented changes unseen in a century, with great-power competition intensifying. As a core carrier of a country's strategic deterrence and scientific and technological strength, aerospace engineering projects face significant risks and challenges due to their high technical complexity, long development cycles, and interdisciplinary integration. Driven by national security strategies and the construction of an aerospace power, risk management has become a core capability of aerospace research institutions, directly related to the bottom line of national defense security and the initiative in major-country strategies. This thesis takes the K project of Aerospace Research Institute H as the research object and conducts systematic risk management research to address the common problems in aerospace engineering R&D projects, such as incomplete risk management processes, lack of quantitative evaluation, and weak response mechanisms. Combining project risk management theories, this thesis carries out risk management research based on the R&D process of the K project at Aerospace Research Institute H. Firstly, by comprehensively applying the literature research method, brainstorming method, and Work Breakdown Structure-Risk Breakdown Structure (WBS-RBS) matrix method, 24 key risk indicators of the K project in six major fields—planning, technology, organization, management, production, and cost—are systematically identified, and a risk indicator system covering the entire life cycle of the project is constructed. On this basis, a risk evaluation model is established. The Analytic Hierarchy Process (AHP) is used to determine the weight of each risk indicator, and the core risk sources are identified, which come from technical risks, planning risks, and production risks. Combined with the fuzzy comprehensive evaluation method to quantitatively assess the risk level, the membership level of various risks and the overall risk level of the project are evaluated. Finally, according to the evaluation results, response strategies and specific measures are proposed for high, medium, and low-risk indicators respectively. At the same time, real-time risk monitoring throughout the whole process is well implemented, and a PDCA cycle monitoring mechanism is constructed to achieve dynamic management and control through risk review meetings, tracking checklists, and early warning systems. Through the work logic from organization to system to process, the research designs a systematic, clear, complete, and operable risk management optimization plan for Research Institute H. By combining theory with practice, risk management tools and methods are applied in different stages of project development to build a risk management model suitable for the projects of Research Institute H, which has been verified in practice and can effectively control and reduce the occurrence of risks and potential losses in the project R&D process. This research not only provides an operable risk management path for aerospace projects but also offers theoretical support and practical reference for the innovation of risk prevention and control in complex technical projects, helping to ensure national strategic tasks and improve the success rate of aerospace engineering projects. Key Words: Aerospace Engineering; Risk Management; Analytic Hierarchy Process (AHP); Fuzzy Comprehensive Evaluation
查看全文：	预览  下载(下载需要进行登录)