Implementation of Risk management, Monitoring and Controlling procedures in BIM processes

Building Information Modelling (BIM) technology has been improving in incredible ways in the past few years, and it is considered as an essential tool in the area of engineering and construction management. The perfect execution and application phase of a building project has always been sensitive and critical due to time and financial challenges, but an efficient BIM implementation can overcome those pressures. This thesis provides a guideline of deferent risks currently affecting BIM process in different aspects and also presents method which could support and help risk managers and engineers to monitor and control time and costs related to different projects by implementing risk management, monitoring and controlling techniques in BIM processes. The goal is providing a complete implementation guideline to make the BIM process effective and more efficient especially in the big construction project, one of the most important technique requires the use of the EVM ( earn value management ), which is useful to control and monitor projects in terms of costs and delays at any stage . This methodology has been applied to the project of Torino metro station Italia 61, part of the metro line 1 in Turin. The implementation of EVM has been developed using several software, such as Autodesk Revit, Primavera, and Synchro Pro to provide a colour code at any given stage of the project indicating the state of the project in terms of schedule delays and cost overrun. Furthermore the same model has been used to create another implementation between the same model and RiskyProject software application which is a complete made suite software of project risk analysis and tool for project risk management created in the same package of software that integrates and work perfectly with Microsoft Project, Primavera, and other analyzing ,scheduling and planning tools, and covers the complete risk life cycle. Therefore, RiskyProject generate qualitative risk analysis procedure and risk management as well as quantitative Monte Carlo schedule simulation and cost risk analysis. Thanks to the implementation of BIM process, it was possible to build different scenarios and expected risks that could affect the project in terms of cost and delays then providing the visual result of the simulation to see in real life the effect of different risk scenarios on the project.