| Performance management of construction projects is one of the most challenging and critical tasks carried out by construction organizations. The successful delivery of construction projects requires management of all project aspects. The main objective of this research is to develop an integrated framework for evaluation, forecasting and optimization of performance of construction projects. This research focuses on the construction phase of a project and is intended for implementation by contractors.; This research presents a systematic and comprehensive integrated model for performance management. A systematic and unified construction performance measurement methodology was developed to evaluate and integrate all project objectives including cost, schedule, cashflow, profitability, safety, quality, project team satisfaction, and client satisfaction. Using dynamic Markov Chains, a stochastic model was developed to forecast the dynamic nature of construction performance. The forecasting model incorporates user feedback, historic trends, and latest project status to predict the performance of any objective at any future time and at project completion. Moreover, the integrated model offers an innovative mechanism, using genetic algorithms, to assist users select corrective action plans that lead to better project performance. In addition, this research proposes the concept of a guide in a matrix form to resolve contradictions among the various performance indices. This research introduced a framework for managing a distributed project performance system using multi agent systems. It also included an extensive literature review that identified and discussed specific work related to measurement, forecasting, and optimization of performance of construction projects.; The proposed integrated framework is unique in the sense that it is mathematically derived and it deals with a single project phase. Although the proposed methodology is intended for use by contracting companies during the construction phase, it can be adapted for use by any project-driven company during any phase of a project.; The proposed system is based on quantitative models, but it does not eliminate the role of sound subjective judgment and feedback by users. It offers a tool to assist construction managers better plan their projects through efficient and effective decision-making. |
