Space Logistics Modeling and Optimization: Review of State of the Art
arXiv:2306.01107 · doi:10.2514/1.A35982
Abstract
As "Space Mobility and Logistics" was listed as one of the five core competencies in the US Space Force's doctrine document, there is a growing interest in developing technologies to enable in-space refueling, servicing, assembly, and manufacturing as well as other in-space logistics operations. Modeling for space mobility and logistics requires a new approach that differs from conventional astrodynamics because it needs to consider the coordination of multiple vehicles to satisfy an overall demand; namely, the optimal trajectory of one vehicle does not necessarily lead to the optimal campaign solution that contains multiple vehicles and infrastructure elements. In addition, for in-space servicing applications, we need additional analysis capabilities to analyze and optimize the sizes of the fuel/spare depots and their inventory/sparing policies with orbital mechanics in mind. To tackle these challenges, there have been various attempts to leverage terrestrial logistics-driven techniques, coupled with astrodynamics, to enhance in-space operations. This paper aims to provide a review of the literature by categorizing the state-of-the-art studies in two ways: (1) by application questions that are addressed; and (2) by logistics-driven methods that are used in the studies. The two categorizations are expected to help both practitioners and researchers understand the state of the art and identify the under-explored and promising future research directions.
arXiv commentA former version was presented at AIAA SciTech Conference 2024
References in corpus (10)
- Optimal Satellite Constellation Spare Strategy Using Multi-Echelon Inventory Control
- Two-phase framework for optimal multi-target Lambert rendezvous
- Multi-Fidelity Space Mission Planning and Infrastructure Design Framework for Space Resource Logistics
- Multidisciplinary Design Optimization Approach to Integrated Space Mission Planning and Spacecraft Design
- Flexibility Management for Space Logistics via Decision Rules
- Event-Driven Network Model for Space Mission Optimization with High-Thrust and Low-Thrust Spacecraft
- Regional Constellation Reconfiguration Problem: Integer Linear Programming Formulation and Lagrangian Heuristic Method
- Hierarchical Reinforcement Learning Framework for Stochastic Spaceflight Campaign Design
- Semi-Analytical Model for Design and Analysis of On-Orbit Servicing Architecture
- Orbital Facility Location Problem for Satellite Constellation Servicing Depots