Optimization of Logistical Models for Rocket-Based Cargo Delivery

The ongoing advancements in rocket technology have set the stage for a shift in global logistics, presenting the capability to deliver payloads globally at unprecedented speeds. This study addresses the critical challenges and operational bottlenecks arising from the integration of rocket-based systems into traditional logistics frameworks. Our research develops and applies an optimization model, utilizing discrete event simulation combined with advanced optimization techniques facilitated by the Python tool, SimPy, and optimized through OpenMDAO. The model targets key performance indicators such as logistics time, cost efficiency, and resource allocation to assess the impact of evolving conditions on the logistics network. Initial simulations focus on basic operational scenarios to refine the methodology, setting the groundwork for more complex applications. This paper outlines the conceptual framework, methodology, and anticipated impacts of implementing high-speed rocket technology in relief supply delivery, emphasizing the potential to dramatically reduce delivery times and enhance the responsiveness of global supply chains.