【作者】 范琳；

【导师】 孙涛；

【作者基本信息】 山东大学 ， 工程管理， 2024， 硕士

【摘要】 轨道是影响铁路线路行车安全的主要结构之一,其平顺性是直接关乎列车运行安全与质量的关键要素。随着我国铁路提速及运营里程的不断发展壮大,对轨道平顺性的要求更加严格,线路的养护维修工作量愈发加大,但是养护维修劳动力逐渐减少;同时我国铁路系统正在进入大数据的时代,基础设施检测体系不断完善,已积累了海量的多源轨道检测数据,这些数据是线路设备状态评估并进行运维决策的重要基础。因此,如何高效利用现有的检测数据、挖掘数据价值,并利用检测数据有效指导现场的养护维修以实现科学管理是工务部门工作的重要内容。本文利用项目质量管理理论为指导,以JN工务段现有的集中修项目质量管理活动作为分析对象,运用经典的“朱兰三部曲”质量管理方法、PDCA循环质量管理理念从质量策划、管理质量和质量控制三个过程入手研究,以5M1E分析法进行归纳、分类、总结,提出存在的质量管理问题,同样依据上述理论从三个过程中提出改进意见。根据JN工务段在质量管理活动中存在的不适应因素和环节,在人员素质、数据应用、生产组织、人才培养4个方面进行了分析研究,重点从检测数据的关联分析、趋势分析、对比分析方面和多源数据整合应用方面,形成了在质量计划环节、质量控制环节的改进意见,从优化生产组织、积极推进“三修”、重视质量管理基础工作、依靠科技创新等角度出发,形成了在质量保证环节的改进意见。更多还原

【Abstract】 Track is one of the main structures that affect the running safety of railway lines,and its smoothness is the key factor directly related to the safety and quality of train operation.With the increase of railway speed and the continuous development of railway operating distance,the requirement of track smoothness is more and more strict,and the workload of maintenance and maintenance of the line is also more and more large,but the maintenance and maintenance labor force is gradually reduced.At the same time,China’s railway system is entering the era of big data,and the infrastructure detection system is constantly improving.It has accumulated massive multi-source track detection data,which is an important basis for line equipment status assessment and operation and maintenance decisions.Therefore,how to make efficient use of the existing testing data,mining the value of the data,and using the testing data to effectively guide the on-site maintenance and maintenance to achieve scientific management is an important part of the work of the public works department.Guided by the theory of project quality management,this paper takes the existing quality management activities of the centralized repair project in JN engineering section as the object of analysis,uses the classic "Juran Trilogy" quality management method and the PDCA cycle quality management concept to study the three processes of quality planning,management quality and quality control,and summarizes,classifies and summarizes by 5M1E analysis method.The existing quality management problems are put forward,and the improvement suggestions are put forward from the three processes according to the above theory.According to the maladaptive factors and links existing in JN’s quality management activities,this paper analyzes and studies personnel quality,data application,production organization and talent training in four aspects,focusing on the correlation analysis,trend analysis and comparative analysis of test data and the integration and application of multi-source data,and forming improvement opinions in the quality planning and quality control links.From the point of view of optimizing production organization,actively promoting "three repairs",attaching importance to the basic work of quality management,relying on scientific and technological innovation,the improvement opinions in the quality assurance link are formed.更多还原