The planning stage of any procedure is critical to its successful and efficient execution. Even in the military, over the last few decades, mission planning support has evolved rapidly using modern Modelling and Simulation (M&S) tools. The article focuses on the M&S of Surface Based Air Defence (SBAD) and the design of the complex hybrid simulator coupling Ordinary Differential Equation (ODE) and Discrete-Event Simulation (DES) models. The simulator includes all entities and procedures that participate in SBAD missions, specifically the ODE models of a target, missile, radar, and the models of Command and Control (C2) system procedures. The design of the simulator also includes the possibilities of automated generation of flight routes, fire control and target distribution for multiple targets and Fire Units (FU) using queuing theory algorithms. As a main platform for the development and scenario design, the Jupyter notebook environment with the Python programming language was used. The primary objectives are to design, validate, and implement the proposed simulator in SBAD mission planning, military cadets' education, and experimental tasks.