D E V E L O P I N G A M O D E L-B A S E D D S S F O R I N T E G R A T I N G P R O J E C T P E R F O R M A N C E E V A L U A T I O N A N D R I S K M A N A G E M E N T (C O N S T R U C T I O N I N V E S T M E N T P R O J E C T
Today, the construction industry is complex and ambiguous, and the active agents are forced to use the new tools of project management and knowledge of the world to focus on key areas which will enhance them inevitably and thus success is guaranteed. One of the main areas to focus on is the context of project management issue, in this way the performance management is optimized and operational performance is improved to support the risk management and reach the strategies of the organization. With the science development, the optimization of possibility of projects and implementation process, is a critical step in the process of completing the project.According to studies, about 60% of the failure of construction companies, has been due to financial matters. According to the literature, to meet the demands, deficiencies in risk management and financial management of the project were discussed to evaluate the performance. In this research, the evaluation of project performance and risk management is integrated and evaluated. Therefore, a comprehensive model for integrated performance evaluation models and risk analyses, using a model-based decision support system, was considered that aims to increase accuracy, convenience, efficiency and effectiveness in both the planning and implementation of project. A decision support system (DSS) is a model-based or knowledge-based system intended to support managerial decision making in semi-structured or unstructured situations.The proposed model for project performance targets, contain: time, cost and finance. The model fits with the discussed projects to integrate performance evaluation with risk analysis, by developing earned value management approach with financial measures. Integration with Kalman filter prediction method is proposed. And thus the model can be used in the project, for progress tracking, risk analysis, and predictions for the future of performance targets. Acomprehensive model presented for an actual project implementation is describedand its results will be compared with the standard methods of project managment.
Industrial Engineering & Management Sharif, Volume:33 Issue:1, 2017
129 - 139
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