Objective: In the past, various components of the supply chain operated independently, which hindered the optimal use of facilities. In recent years, there has been an increasing focus on integrating planning and decision-making in supply chain processes. Therefore, this research presents a multi-objective model for the supply chain of logistics support for the Ground Forces of the Islamic Republic of Iran, aimed at optimizing the logistics process with a scenario-based approach.

Methodology: To simulate the logistics preparation process, a multi-objective mathematical model with conflicting objectives, including minimizing costs and minimizing delivery time, has been utilized within the logistics network of the Army’s Ground Forces. The proposed model is innovative as it considers a multi-period and multi-product logistics network while also accounting for the relocation of units. In this study, the solution approach for the proposed model is implemented using the branch-and-bound method, and to clarify the application of the developed model in this research, scenario analysis has been employed.

Findings: A method for modeling logistics support has been presented, which includes the formation of the Pareto front, the calculation of optimal values for the model variables, and the determination of the best solution using the VIKOR method.

Conclusion: In situations where it is not possible to determine the optimal order quantities at the supply chain level due to the presence of parameters and constraints, the proposed model can assist in determining the precise quantities of items to be dispatched over the period and provide predictions of outcomes under various conditions.