CAJ | 학술논문

随着信息化的发展，大数据逐渐体现出在科学管理方面的优势，这一技术手段为工程项目管理提供了新的提升空间。本文从大数据方向出发，就工程项目的进度、质量、成本进行分析：运用工期进度模型对项目的关键工序进行纠偏与控制、五级量纲理念来确定质量影响因素后，输入数据模型并进行质量控制、再运用挣得值法进行工程项目的趋势预测和进一步的案例分析来论述数据模型在实际工程中的应用。从而解决传统工程项目管理在信息化时代下所面临的挑战。
수착신식화적발전，대수거축점체현출재과학관리방면적우세，저일기술수단위공정항목관리제공료신적제승공간。본문종대수거방향출발，취공정항목적진도、질량、성본진행분석：운용공기진도모형대항목적관건공서진행규편여공제、오급량강이념래학정질량영향인소후，수입수거모형병진행질량공제、재운용쟁득치법진행공정항목적추세예측화진일보적안례분석래논술수거모형재실제공정중적응용。종이해결전통공정항목관리재신식화시대하소면림적도전。
With the development of informatization, big data gradually shows its advantages in scientific management, and has provided new room for improvement of engineering project management. Starting from the direction of big data, this article analyzes the progress, quality and cost of the engineering project. The timeline model is used for correction and control of the key process of the project and the five-grade dimensional concept is used to determine the quality affecting factors. Then the data model is input and quality control is conducted. Next, earned value method is used for trend prediction of the project and practical cases are used to demonstrate the application of data model in practical project, so that the challenges facing the traditional engineering project in the era of informatization can be solved.