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Item type:Publication, 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimal project portfolio selection with reinvestment strategy considering sustainability in an uncertain environment: a multi-objective optimization approach(Emerald Group Holdings Ltd., 2022-07-22)This study aims to develop a model for project portfolio selection considering organizational goals such as budgets, sustainability cash flow and reinvestment strategy under an uncertain environment. Design/methodology/approach: A multi-objective mathematical programming model is proposed for project selection, which takes the social, environmental and financial aspects into account as the objectives of the project portfolio selection problem. The project evaluation and selection process in one of the large capitals in the Middle East with numerous urban construction projects was considered as a real case study, in which the subjects of environmental and social sustainability are of great importance. Then, the most significant criteria for project evaluation and selection based on sustainability were identified and ranked using the fuzzy best-worst method (BWM). Findings: The criterion of “defining clear and real objectives” was ranked first, “project investment return period” was ranked second, “minimum changes in the predicted range” was ranked third, and the other ten sustainability indicators were ranked as well. Next, the presented mathematical programming model was solved using the augmented e-constraint method. The sensitivity analysis indicated that increasing the amount of investments in projects would increase their net present value. Also, increased investment had no effect on sustainability, while decreased investment caused sustainability to not being optimal. Originality/value: This study focuses on the impact of the amount of investments on projects, and the associated costs of sustainable projects. Further to the authors' knowledge, there has been no relevant study taking uncertainty into account. Also, very few studies proposed a mathematical programming model for the project portfolio selection problem. Moreover, this research uses the brainstorming and Delphi method to identify the sustainability indicators influencing the organization and screens the evaluation indicators. Furthermore, the weights of the evaluation indicators are determined using the fuzzy BWM based on the consistency of opinions. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 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.