Short answer
When designing and evaluating complex remote operations like satellite servicing, explicitly model and quantify the impact of potential failures to accurately assess economic viability.
- Field
- Commercial Production
- Source
- Digital Repository at the University of Maryland (University of Maryland College Park) (2005)
- Method
- Quantitative analysis and simulation
- Evidence
- Strong effect
Integrating operational uncertainties into economic feasibility models significantly enhances the viability assessment of telerobotic on-orbit satellite servicing. This commercial production research insight is drawn from a 2005 study published in Digital Repository at the University of Maryland (University of Maryland College Park). Using Quantitative analysis and simulation, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing and evaluating complex remote operations like satellite servicing, explicitly model and quantify the impact of potential failures to accurately assess economic viability.
Telerobotic Satellite Servicing: A Feasible Economic Model Under Operational Uncertainty
Integrating operational uncertainties into economic feasibility models significantly enhances the viability assessment of telerobotic on-orbit satellite servicing.
Digital Repository at the University of Maryland (University of Maryland College Park) · 2005
Key Findings
- 01A new expected-value-based servicing feasibility method can provide a standard basis for decision-making for proposed servicing architectures.
- 02The proposed method demonstrates the feasibility of a small, lightweight servicer for geosynchronous spacecraft retirement, even when accounting for operational uncertainties.
- 03Parametric analysis can establish thresholds for critical operational parameters, such as the probability of docking success, to ensure economic viability.
Application
Design takeaway
When designing and evaluating complex remote operations like satellite servicing, explicitly model and quantify the impact of potential failures to accurately assess economic viability.
How to apply
When proposing a new service or system involving significant operational risks (e.g., autonomous vehicles, remote medical procedures), develop a model that quantifies the probability of success for critical steps and their economic consequences.
Project actions
- 01When evaluating a design concept, consider not just its ideal performance but also the potential impact of failures.
- 02Use probability to quantify risks and their effect on the overall success of your design.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Develops a novel methodology for feasibility assessment.
- +Incorporates real-world operational uncertainties.
- +Demonstrates practical application with a case study.
Limitations
The availability of accurate data on failure rates and costs can be a significant challenge in real-world applications.
Reliability & validity
The reliability of the model depends on the consistency of the input data and the mathematical rigor of the expected value calculations. Validity is enhanced by the case study application, which tests the model's ability to reflect real-world scenarios.
Think critically
How might the 'economic conservatism' mentioned in the abstract influence the perceived feasibility of innovative, but unproven, servicing technologies?
Design Principles
"Probabilistic economic modeling is essential for validating the feasibility of high-risk, complex operational systems."
This research provides a robust framework for evaluating the economic potential of complex, high-risk space-based services. By accounting for factors like launch and docking success rates, designers and strategists can make more informed decisions about investment and resource allocation in the burgeoning field of satellite servicing.
What This Means for Your Design
This study shows that to figure out if a robot in space can fix satellites and make money, you need to think about all the things that could go wrong, like not being able to dock properly, and how much that would cost.
How to use in your project
- 1.Reference this study when discussing the economic viability of your design, particularly if it involves remote operation, automation, or potential failure points.
Add to My Project
Quick Cite
Paragraph starter
The economic feasibility of complex operational systems, such as telerobotic satellite servicing, is significantly influenced by operational uncertainties. Research by Sullivan (2005) demonstrated that incorporating probabilities of failure for critical operations, like docking, into economic models provides a more realistic assessment of viability. This approach is crucial for identifying key risk factors and establishing performance thresholds necessary for commercial success.
Source
Digital Repository at the University of Maryland (University of Maryland College Park)
Technical And Economic Feasibility Of Telerobotic On-Orbit Satellite Servicing
journal · 2005
View sourceQuestions About This Research
- What does the research say about telerobotic satellite servicing: a feasible economic model under operational uncertainty?
- When designing and evaluating complex remote operations like satellite servicing, explicitly model and quantify the impact of potential failures to accurately assess economic viability. Evidence: Digital Repository at the University of Maryland (University of Maryland College Park) (2005).
- Why does "Telerobotic Satellite Servicing: A Feasible Economic Model Under Operational Uncertainty" matter for design?
- This research provides a robust framework for evaluating the economic potential of complex, high-risk space-based services. By accounting for factors like launch and docking success rates, designers and strategists can make more informed decisions about investment and resource allocation in the burgeoning field of satellite servicing.
- How can designers apply this research?
- When designing and evaluating complex remote operations like satellite servicing, explicitly model and quantify the impact of potential failures to accurately assess economic viability.
- What were the main findings?
- A new expected-value-based servicing feasibility method can provide a standard basis for decision-making for proposed servicing architectures.. The proposed method demonstrates the feasibility of a small, lightweight servicer for geosynchronous spacecraft retirement, even when accounting for operational uncertainties.. Parametric analysis can establish thresholds for critical operational parameters, such as the probability of docking success, to ensure economic viability.
- What research method was used?
- Quantitative analysis and simulation.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2005 journal from Digital Repository at the University of Maryland (University of Maryland College Park).
- What should I do differently in my next project?
- When proposing a new service or system involving significant operational risks (e.g., autonomous vehicles, remote medical procedures), develop a model that quantifies the probability of success for critical steps and their economic consequences.
- What are the limitations?
- The accuracy of the feasibility assessment is dependent on the quality and completeness of the input databases for satellite characteristics and failure rates. The specific operational uncertainties considered may not encompass all possible scenarios.