Developing models to predicting the effect of crises on construction projects using MLR technique

Most construction projects are exposed to multiple external and internal problems obstacles that lead a crisis within the project, which may failure of project. It is also source concern for owners, stakeholders, contractors alike due its difficulty. As result, new approach dealing with crises prior their occurrence required. Accurate project prediction concerns at early stages critical factors in success This study develops anticipatory models by identifying categorizing major different variables affect objectives indicate time overrun, cost poor quality before occur. The most influential on Iraq were identified this study; some these implementation time, others cost, remaining quality. independent measurement model designed collect accurate raw data from site. based 53 samples collected various multi-story building projects, used construct test model. From MLR linear regression results, three equations derived calculating percentage overrun (time, quality) because being affected crises. Found correlation coefficient above (99.8%, 98.6%, 96.5%), respectively.