Quality risk management model for railway construction projects

被引:16
作者
Li Qing [1 ]
Liu Rengkui [1 ]
Zhang Jun [2 ]
Sun Quanxin [3 ]
机构
[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China
[2] Shanghai Railway Bur, Construct Management Dept, Shanghai 200071, Peoples R China
[3] Beijing Jiaotong Univ, MOE Key Lab Urban Transportat Complex Syst Theory, Beijing 100044, Peoples R China
来源
2014 INTERNATIONAL SYMPOSIUM ON SAFETY SCIENCE AND TECHNOLOGY | 2015年 / 84卷
关键词
railway construction project; risk management; a figure and four tables method; MIS;
D O I
10.1016/j.proeng.2014.10.426
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Information technology has significant potential to enhance the engineering quality of the risk management of railway construction projects. The Shanghai Railway Bureau has promoted a risk management method based on the "A Figure and Four Tables" method (AFFTM) to assess the engineering quality; however, this method still suffers from several problems in railway construction project management. In this paper, we have combined the concepts and processes of the AFFTM with those of information technology and presented the implementation scheme of a new risk management system-the railway construction project quality risk management information system (RCPQRMIS)-that can be used to design and develop workable information tools for quality risk management. The paper analyzes the data standards of RCPQRMIS and creates a model for dynamically tracking the quality risk ("quality risk dynamic tracking" model) for providing pre-warning information on quality risk ("quality risk pre-warning" model) and for automatically generating publicity parameters for quality risk ("automatically generated quality risk publicity figure" model). The proposed system enables the visualization of the quality associated with the risk control, dynamic tracking, automatic pre-warning, and closed-loop management of railway construction projects. In addition, this paper presents the functional modules of the RCPQRMIS and its practical applications. Our application results show that the system successfully realized unified management of risk source information and multi-level sharing. In this manner, by using our system, we were able to significantly improve real-time tracking and pre-warning of the risk state, automatic generation of quality risk publicity figures, efficiency, and risk management levels. (C) 2014 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:195 / 203
页数:9
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