OPTIMIZING ROBOTIC CARGO ALLOCATION IN SPACE STATIONS USING TRANSPORTATION PROBLEM MODELS: TOWARD SUSTAINABLE DEEP- SPACE LOGISTICS

Authors

  • Dr. Jyothi.P, Kavitha Nagendra

Keywords:

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Abstract

One of the key factors to ensuring long-term sustainability of space stations is the effectiveallocation of any resources where the energy, time, and storage space are all very limited.The work uses the classic operations research problem: transportation problem, in order tofind how autonomous robot fleets should assign cargo in a space station. The supplying nodes have storage bays which provide the basic necessities such as oxygen tanks

References

Ho, Koki (2023). Space Logistics Modeling and Optimization: Review of State of the Art. A comprehensive survey of logistics-driven methods applied to in-space servicing, in-orbit refueling, assembly, and infrastructure planning. RedditarXiv+2arXiv+2arXiv+2

Chen, Hao; Gardner, Brian; Grogan, Paul; Ho, Koki (2021). Flexibility Management for Space Logistics via Decision Rules. Multi-stage stochastic programming and decision rules for space station resupply under uncertainty. arXiv

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Published

2024-12-30

How to Cite

Dr. Jyothi.P, Kavitha Nagendra. (2024). OPTIMIZING ROBOTIC CARGO ALLOCATION IN SPACE STATIONS USING TRANSPORTATION PROBLEM MODELS: TOWARD SUSTAINABLE DEEP- SPACE LOGISTICS. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 6297–6309. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3578

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Articles