This paper summarizes the current state of the art in interplanetary supply chain modeling and discusses SpaceNet as one particular method and tool to address space logistics modeling and simulation challenges. Fundamental upgrades to the interplanetary supply chain framework such as process groups, nested elements, and cargo sharing, enabled SpaceNet to model an integrated set of missions as a campaign. The capabilities and uses of SpaceNet are demonstrated by a step-by-step modeling and simulation of a lunar campaign.

This paper summarizes the motivation for and the resulting development of a flexible object-oriented software model for simulation and analysis of space exploration campaign logistics. The software model was designed to be applicable to several widely-varying use case scenarios including International Space Station resupply, support for a long-term lunar outpost and global lunar exploration, and Martian exploration by human and robotic agents. The model includes analysis capability for exploration sustainability topics including reusability, reconfigurability, commonality, and repairability. Key additional features include modular demand models that are easily interchanged, element-level models for finegrained demand integration, and reconfigurable system operational states to dynamically change demand models. Other capabilities include generalized impulsive burn maneuvers, surface transportation, abstracted flight transportation, improved support for multidestination scenarios, and multi-user collaboration via online databases. Nomenclature COTS

In order to ensure that future human lunar and Mars exploration programs are both affordable and sustainable, it is essential to consider the impact of logistics, especially for long-duration and multiple mission campaigns. It is important that logistics be taken into account at an early stage in the design process, because the exploration architecture and vehicle design undoubtedly impact logistics-related operations costs. In order to understand the specific logistics costs associated with various exploration architecture choices, a modeling framework and planning tool for interplanetary space logistics is required. Terrestrial logistics and supply chain management is a highly-developed field; techniques for efficient supply chain management have been proven very effective in the business case. The wealth of information in this area can be applied to the interplanetary problem in order to develop a model for understanding space logistics. This paper describes the space logistics model developed by personnel at Massachusetts Institute of Technology (MIT) and the Jet Propulsion Laboratory (JPL) to understand the supply chain management problem for human lunar and Mars exploration. This paper also discusses the results of several trade studies performed using this tool. * For more detailed demand forecasting, a total of 44 sub-classes of supply were developed, but these are subsequently aggregated into the ten classes shown in Figure 2.

This thesis covers the development of a framework for the application of revenue management, specifically capacity control, to space logistics for use in the optimization of mission cargo allocations, which in turn affect duration, infrastructure availability, and forward logistics. Two capacity control algorithms were developed; the first is based on partitioning of Monte Carlo samples while the second is based on bid-pricing with high-frequency price adjustments. The algorithms were implemented in Java as a plugin module to SpaceNet 2.0, an existing integrated modeling and simulation tool for space logistics. The module was tested on a lunar exploration concept which emphasizes global exploration of the Moon using mobile infrastructure. Results suggest that revenue management produces better capacity allocations in shorter duration missions, while producing nominal capacity allocations (i.e. those in the deterministic case) in the long run.

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