Providing a Robust Integrated Model for Resource-Constrained Project Scheduling Problem (Rcpsp) with Material Ordering Under Uncertainty

This study was conducted to investigate the problem of robust integrated project scheduling and material ordering in terms of resource constraints, uncertainty, and lag times. Simultaneous consideration of discount, non-renewability, perishability, uncertainty, and different project implementation scenarios brought the model closer to real-world conditions and, as a result, made the results more practical. So, a scenario-based model was designed with the objective function to minimize the total cost (ordering, maintenance, purchasing and penalties). Model robustification was then performed with a possibilistic approach. After providing the model, numerical problems in different dimensions were designed and solved by using GAMS software