Topics
- Supply Chain and Logistics
Industrial-Aero Optimization for Agile Rocket
Cargo Delivery: Logistics
Space-delivered cargo systems via rockets offer rapid, global-scale delivery for humanitarian purposes. While rocketry is a significant challenge, the project focuses on identifying and solving ground logistical bottlenecks to ensure the swift delivery of essential supplies during critical missions. The logistics component involves advanced infrastructure planning, data-driven decision-making, and simulations to optimize the supply chain. Using mathematical modeling, automation, and predictive analytics, the project aims to enhance cargo processing, rocket scheduling, warehousing, and resource allocation for future spaceports. Research also explores cost-effective facility upgrades and the use of Large Language Models (LLMs) for mission planning, creating a scalable and efficient framework for space cargo delivery. Key areas of focus include: Infrastructure Research: Upgrading facilities to support next-gen vehicles and improve operational coordination. Warehouse & Logistics: Repurposing legacy infrastructure and optimizing facility sighting for safety and efficiency. Cargo Distribution & Operational Readiness: Establishing FEMA-like Points of Delivery (PODs) for efficient cargo distribution and using simulations to optimize logistics. Cost Engineering: Evaluating and modernizing facilities to balance compliance, cost, scalability, and effectiveness. Launch Pad Optimization & Advanced Technologies: Using Mixed Integer Linear Programming (MILP) for optimal launch pad placement and integrating AI and LLMs for enhanced mission planning and real-time decision-making. AI and large language models for space mission: planning integration of LLM's real time decision making and mission adaptability and fine-tuned private LLM's. This comprehensive approach ensures a robust, cost-effective, and efficient system for rapid space cargo delivery.
Keywords
Rocket Cargo, warehouse, logistics, optimization