esigning a project time and materials planning model considering uncertainty and calendar interruptions: the case study of the oil resource repair project

Abstract

The problem of project scheduling with limited resources is one of the most important problems in the field of project management issues, which has been highly studied by researchers in recent years. The combination of this issue with other project management issues can be considered as one of the most booming issues in this field in recent years. In this research, a robust planning model was presented for the integrated problem of material ordering and project scheduling in the presence of uncertainty, calendar breaks, non-renewability, corruption and different project implementation scenarios. Simultaneous consideration of the aforementioned issues in the form of this model will lead to the model being closer to the real world conditions, making the results more practical and improving the quality of the results in practice. The presented model had the objective function of minimizing all costs, including the costs of ordering, maintenance, purchase and delay penalty minus the bonus for early delivery of the project, and it was carried out with a possible approach to model stabilization. After presenting the model, a combined solution method of genetic algorithm and GAMS software was designed to solve numerical problems of different sizes. Also, a sample problem related to an oil source repair project as well as several numerical problems were designed and solved with the desired approach. The obtained results indicate a significant reduction in the solution time using the combined approach presented in this research.