A stochastic-fuzzy multi agent model for scheduling and portfolio selection of project by considering environmental and economic resilience
Volume 12, Issue 1, July 2025, Pages 170-185
https://doi.org/10.22116/jiems.2025.524241.1602
Hadis Gholami, Amir Azizi, Majid Sabzehparvar, Davood Jafari
Abstract Aim of this research is to provide a stochastic fuzzy model for scheduling and selection of project portfolio in multi model sustainable and resilience condition. In real environments projects are executed in multi modes and the aim of sustainability maximization and resilience in project portfolio are pursued. For this goal librarian studies have been done based on this, a stochastic fuzzy programming model was implemented that aim to schedule and select sustainable and resilience project in multimode situation. Model was validated and was solved in small dimension. Then it was analyzed by two algorithms NSGAII and MOPSO. Results indicate that NSGAII has better performance then MOPSO and is more efficient. The most of influencing is on current value and then sustainability and resilience and sustainability is influenced by reinvestment similarly. But influencing current value from reinvestment rate is significant. Impact of loan interest on objective function is totally descending. It means if loan interest is increased all objective function can be decreased that resilience most of others and then sustainability and finally current value is decreased. It seems this function are decreased between 17 to 23 percent in 50 percent increase of loan interest.