2006SpaceOps 2006 ConferenceRequires access

Modeling Interplanetary Logistics: A Mathematical Model for Mission Planning

Christine Taylor, Miao Song, Diego Klabjan, Olivier de Weck, David Simchi‐Levi

Open publisher page 35 citations

Abstract

The objective of this paper is to demonstrate a methodology for designing and evaluating the operational planning for interplanetary exploration missions. A primary question for space exploration mission design is how to best design the logistics required to sustain the exploration initiative. Using terrestrial logistics modeling tools that have been extended to encompass the dynamics and requirements of space transportation, an architectural de-cision method has been created. The model presented in this paper is capable of analyzing a variety of mission scenarios over an extended period of time with the goal of defining in-teresting architectural scenarios for space logistics. This model can be utilized to evaluate different logistics trades, such as a possible establishment of a push-pull boundary, which can aid in commodity pre-positioning. The results of this implementation are presented for a lunar campaign using estimated surface demands for exploration. I.

About this research paper

What this paper is about

The objective of this paper is to demonstrate a methodology for designing and evaluating the operational planning for interplanetary exploration missions. A primary question for space exploration mission design is how to best design the logistics required to sustain the exploration initiative. Using terrestrial logistics modeling tools that have been extended to encompass the dynamics and requirements of space transportation, an architectural de-cision method has been created. The model presented in this paper is capable of analyzing a variety of mission scenarios over an extended period of time with the goal of defining in-teresting architectural scenarios for space logistics. This model can be utilized to evaluate different logistics trades, such as a possible establishment of a push-pull boundary, which can aid in commodity pre-positioning. The results of this implementation are presented for a lunar campaign using estimated surface demands for exploration. I.

Why it matters

OpenAlex reports 35 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The objective of this paper is to demonstrate a methodology for designing and evaluating the operational planning for interplanetary exploration missions. A primary question for space exploration mission design is how to best design the logistics required to sustain the exploration initiative. Using terrestrial logistics modeling tools that have been extended to encompass the dynamics and requirements of space transportation, an architectural de-cision method has been created. The model presented in this paper is capable of analyzing a variety of mission scenarios over an extended period of time with the goal of defining in-teresting architectural scenarios for space logistics. This model can be utilized to evaluate different logistics trades, such as a possible establishment of a push-pull boundary, which can aid in commodity pre-positioning. The results of this implementation are presented for a lunar campaign using estimated surface demands for exploration. I.

Key concepts: Interplanetary spaceflight, Computer science, Systems engineering, Aerospace engineering, Astrobiology, Engineering, Solar wind, Physics

Related papers

Back to paper searchBrowse research topicsOriginal source
Modeling Interplanetary Logistics: A Mathematical Model for Mission Planning — Research Paper | ScholarLens