Univrsity of Tehran Press Industrial Management Journal 3115-7386 18 2 2026 02 01 A Systematic Review of Project Scheduling Models under Renewable Resource Constraints and Uncertainty 150 182 106272 10.22059/imj.2026.404865.1008269 EN Babak Ejlaly Ph.D. Candidate in Industrial engineering Technology Management, Faculty of Industries and Management, Malek Ashtar University of Technology, Tehran, Iran. Morteza Abbasi Assistant Prof., Faculty of Industries and Management, Malek Ashtar University of Technology, Tehran, Iran. Mohammadreza Zahedi Associate Prof, Faculty of Industries and Management, Malek Ashtar University of Technology, Tehran, Iran. Mahdi Yousefi Nejad Attari Associate Prof., Department of Industrial Engineering, Bon.C., Islamic Azad University, Bonab, Iran. Journal Article 2025 10 23 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.

https://imj.ut.ac.ir/article_106272_de350d8122c18a80b5b7fd747a09d3f9.pdf