عنوان مقاله [English]
We are facing in construction projects with a set of risks we face, and one of the major problems in Construction projects misallocation of risk. The allocation of risk between the parties in the contract, the decision is a major factor leading to the success of the project. risk allocation is carried out both qualitative and quantitative. Risk allocation process of how the division of responsibilities between the various factors project risk. Although much research has been done on how to allocate risk, but all the research and qualitative approach based on a questionnaire survey of experts was conducted. In the current study, quantitative risk allocation approach using system dynamics-Fuzzy has been done. given the complexity and dynamics of the environment project and affected by the risk allocation process to various factors, system dynamics approach, an approach was considered suitable for such environments; Also according to the uncertainty of the data and the unknown nature of some of the factors affecting the process, annexation fuzzy logic
dynamic system can be effective information on the uncertainties in the behavior of the system. Given that many risks in construction projects occur, Optimal allocation were carried out for risk of rework, including the risks common in the construction industry. For this purpose, to identify factors associated with the risk of rework boundary charts model and then made a qualitative charts and continue using the software Vensim, integrated flow chart for the creation and validating the simulation. Performance model constructed on a 4-storey building with basement projects implemented. In different percentages risk allocation in project cost simulation and optimization of 37%, is determined; The value of the building during
construction acquires relative to the cost of the construction will be discussed, with a total storage material loss as a benefit, the benefit-cost ratio, the current model has been checked Finally, scenario planning and analysis, conclusions and recommendations for future research are presented.