Session
Session VII: University Programs
Abstract
This paper proposes a risk management approach for university-affiliated, small satellite programs. These small programs have a unique set of risks because of a typically inexperienced workforce, limited corporate knowledge, occasional distributed tasking among universities, and a high student turnover rate. Only those risks unique to small, student-run satellite programs are presented. Additionally, several risk management strategies are explored, and the advantages and disadvantages of these risk-related tools and techniques are examined. To aid the process of risk identification in these particular programs, a Master Logic Diagram (MLD) for small satellites was created to help identify potential initiating events that could lead to failures during the mission. To validate the MLD, a case study is presented and analyzed. This Master Logic Diagram approach is shown to provide an effective method that can be easily adapted for risk identification in small, student-run satellite programs.
Presentation Slides
Risk Management of Student-Run Small Satellite Programs
This paper proposes a risk management approach for university-affiliated, small satellite programs. These small programs have a unique set of risks because of a typically inexperienced workforce, limited corporate knowledge, occasional distributed tasking among universities, and a high student turnover rate. Only those risks unique to small, student-run satellite programs are presented. Additionally, several risk management strategies are explored, and the advantages and disadvantages of these risk-related tools and techniques are examined. To aid the process of risk identification in these particular programs, a Master Logic Diagram (MLD) for small satellites was created to help identify potential initiating events that could lead to failures during the mission. To validate the MLD, a case study is presented and analyzed. This Master Logic Diagram approach is shown to provide an effective method that can be easily adapted for risk identification in small, student-run satellite programs.
