Title :
Risk aversion and optimal satellite systems
Author :
Daniels, Matthew ; Pate-Cornell, M. Elisabeth
Author_Institution :
Dept. of Manage. Sci. & Eng., Stanford Univ., Stanford, CA, USA
Abstract :
Long-term, multiple-payload satellites in Earth orbit can be designed either as consolidated or distributed satellite systems. A consolidated satellite architecture aggregates multiple payload capabilities onto individual large satellites. A distributed (or `disaggregated´) satellite architecture allocates payloads across multiple smaller, heterogeneous satellites. Each system type has certain advantages and disadvantages. A consolidated system often has highly-reliable individual satellites and may offer a lower initial deployment cost. The advantages of a distributed system include the ability to replace a failed unit, or to insert a new technology, more quickly and at a lower cost. Such a system may also be less vulnerable to adversarial threats. We model the value of a satellite program as that of the data that it provides, and use this approach to find optimal sequential decisions to choose and operate the satellite system. The model includes a failure risk analysis to assess and compare the benefits of different system configurations. In sum, we provide a model that enables value-based comparison of entire satellite architectures, where each technical and operational characteristic is optimally exploited. The results of this research indicate that risk-averse decision makers are likely to prefer a distributed satellite system. This work has implications for research on resilience, value, and mission analysis for future space systems.
Keywords :
artificial satellites; decision making; failure analysis; risk analysis; Earth orbit; consolidated satellite architecture; distributed satellite systems; failure risk analysis; future space systems; heterogeneous satellites; long-term multiple-payload satellites; optimal satellite systems; optimal sequential decisions; risk-averse decision makers; Data models; Organizations; Payloads; Reliability; Satellites; Space vehicles;
Conference_Titel :
Aerospace Conference, 2015 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4799-5379-0
DOI :
10.1109/AERO.2015.7119033