فهرست نشریات علمی دسترسی آزاد ایران

Objective: This study aims to develop a comprehensive resource-constrained project scheduling model (RCPSP) that accounts for uncertainty in activity durations and resource availability, thereby addressing the limitations of deterministic approaches. Methodology: A mathematical formulation of the RCPSP is extended to an uncertain environment (URCPSP), considering renewable and semi-renewable resources under multiple constraints. The proposed framework integrates deterministic and stochastic components to better handle resource conflicts and project disruptions. Results: Results indicate that classical RCPSP models fail to represent real-world project dynamics. Incorporating uncertainty and mixed resource types enhances scheduling flexibility and solution robustness while minimizing total project duration and resource fluctuation. Conclusion: The proposed model provides a unified framework for project scheduling under uncertainty, supporting decision-making in complex environments. Future work may extend the model to multi-project contexts and advanced metaheuristic optimization techniques.