Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

Research on the Optimal Disposal of Space Debris for Private Firms Cost Analysis and Risk Aversion

Authors
Guangjin Shen
Corresponding Author
Guangjin Shen
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.300How to use a DOI?
Keywords
Space Debris, Private Firms, Processing method, Cost Analysis, Risk Aversion
Abstract

Space debris, dispersed in space densely, has become a hot global issue since collisions happened increasingly. How to develop a time-dependent model to remove debris and benefit from this project is a rare commercial opportunity for private firms. Firstly, cost analysis and planning is one of the most important components. It clearly shows the costs in different process. Also, relied on opportunity cost principle, accountant principle, science of financial management and analytical hierarchy process, the risks and benefits are analyzed in detail. It turns out the methods are stable. It can help private firms clean up space debris and enjoy profits.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.300
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.300How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Guangjin Shen
PY  - 2017/04
DA  - 2017/04
TI  - Research on the Optimal Disposal of Space Debris for Private Firms Cost Analysis and Risk Aversion
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1596
EP  - 1600
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.300
DO  - 10.2991/icmmct-17.2017.300
ID  - Shen2017/04
ER  -