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    Application of fuzzy BWM-CoCoSo to time-cost-environmental impact trade-off construction project scheduling problem
    (Springer Science+Business Media, 2022-04-05)
    The economic growth and the development of construction industry in several countries have had detrimental impacts on environment and natural ecosystems. Therefore, environmental impact assessment studies of construction projects have received more attention from governments and organizations. In other words, minimizing environmental impacts have been taken into consideration along with other common project goals. This study aims to identify and evaluate the environmental impacts of construction projects and ultimately determine the most favorable implementation modes of activities so that each project activity is executed with the least possible cost, duration, and environmental effects. The environmental consequences of projects are identified in three biological, physicochemical, and socioeconomic environments. Also, the positive and negative environmental impacts are assessed using the Leopold matrix method. Then, the importance weights of the project objectives including cost, time, negative environmental impacts, and positive environmental impacts are calculated using the fuzzy BWM method. Finally, the various modes of executing each activity are prioritized and ranked by using the fuzzy CoCoSo technique regarding the weighted objectives. The activity execution mode with the highest ranking indicates the best possible implementation mode of that given activity according to cost, time and positive environmental impacts as well as negative environmental impacts. The proposed method is implemented in a remote rural water supply construction project for efficiency evaluation. This study directs project managers to identify and assess the environmental consequences and impacts of construction projects in addition to considering the other two common project objectives.
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    A step-by-step hybrid approach based on multi-criteria decision-making methods and a bi-objective optimization model to project risk management
    (Regional Association for Security and crisis management, 2024-01-01)
    Project success and achieving project objectives and goals highly depend on effective and thorough risk management implementation. This study provides a comprehensive and practical methodology for project risk management. In this paper, firstly, the risks were collected by analyzing the historical documents and literature. Then, the collected risks were screened using brainstorming and categorized into five groups. Subsequently, a questionnaire was made and the identified risks were validated using the Fuzzy Delphi technique. Also, the relationships between risks were determined using the Interpretive Structural Modelling (ISM) method. Moreover, the weights of the criteria used to rank the risks were calculated through the Fuzzy Best-Worst Method. Subsequently, the major risks were determined using the fuzzy WASPAS method. Furthermore, a novel bi-objective mathematical programming model was developed and solved using the Augmented Epsilon-Constraint (AEC) method to choose the optimal risk response strategies for each critical risk. The results demonstrated that the proposed framework is effective in dealing with construction project risks.