<p>This study presents a multidisciplinary design optimization (MDO) framework for the conceptual design of interceptor missiles against ballistic missile threats. This paper focuses on the requirement-driven missile configuration design, which forms a key part of a closed-loop process that includes mission management and effectiveness evaluation. The missile design task typically involves optimizing multiple performance metrics while satisfying various constraints, which can be quite computationally time-consuming. To reduce the high computational cost associated with high-fidelity disciplinary models, especially in aerodynamic analysis, a Kriging-based surrogate model is proposed to replace an analysis tool such as DATCOM. The surrogate model significantly accelerates the optimization process while maintaining acceptable fidelity. The results show that the proposed framework enables rapid exploration of optimal design alternatives and supports informed decision-making in the early acquisition phase.</p>