Selection of the Strategies for Responding the Environmental Risks of Construction Projects by Metaheuristic Algorithms(Case Study: Saba Construction Complex Project)

Usually uncertainty and risk are the inherent characteristics of implementing large projects. This uncertainty leads to a significant failure of most of the country's projects in achieving their predetermined goals. Most of the previous studies have addressed environmental risk assessment. in this study a problem is proposed in the form of a linear integer programming optimization model to select appropriate risk responses to project risk with an environmental approach. Failure in accurately identifying the risks of construction projects, in addition to increasing the time and cost of final projects, leads to social, environmental and human damages. The aim of this study is to present a mathematical model for selecting the strategies to respond the environmental and occupational health risks according to IS0 14001-OHSAS 18001 standard of construction projects. All environmental risks of the project are detected and a solution process is proposed using a mathematical model and NSGAII metaheuristic algorithm to obtain a more favorable strategy for responding the environmental risks of a building construction project with respect to time, cost and quality. The results showed that the appropriate strategies for responding the risks were chosen optimally and the risk management system in this project was properly implemented by applying the proposed mathematical model to the 10 significant environmental risks in the project identified by the FMEA method and the ISO 31000 standard which is related to 8 important and critical activities of the project based on the failure structure. Selection of appropriate strategies for responding the risks of construction projects is one of the concerns of project stakeholders. For the first time, a metaheuristic algorithm was used to select the strategies for responding the HSE risk of construction projects. In Saba Tower, as a case study, all the risks affecting the environmental and occupational health debate were identified and appropriate risk response strategies were provided for each risk.