Analyzing spaceflight residual risk acceptance decisions before launch

Lengyel, David M.; Mazzuchi, Thomas A.

doi:10.1016/j.jsse.2017.11.004

Cited by 4 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Research has found that numerous elements affect the success of rocket launches, including the payload's physical characteristics, the launch site's climatic conditions, and the rocket's technical specifications (Green et al, 2021). The intricate relationship between these variables is demonstrated by research, which indicates that careful consideration of variables throughout the modeling process can improve predicted accuracy (Kumar & Patel, 2022).…”

Section: Factors Influencing Rocket Launch Successmentioning

confidence: 99%

Mastering the Cosmos: Leveraging Machine Learning to Optimize Spacex Falcon 9 Launch Success Rates

Edafetanure-Ibeh

2024

Preprint

View full text Add to dashboard Cite

This study explores the predictive analysis of SpaceX Falcon 9 rocket launch outcomes, utilizing multiple machine learning models to improve prediction success rates. Rocket launch efficiency and dependability have become critical as the commercial space exploration industry proliferates (brown et al., 2023). This exploration period was led by the Falcon 9 rocket, renowned for its revolutionary reusability feature. Predicting results, however, is extremely difficult due to the intricacy of launch variables. This study examines historical launch data through extensive data collecting and organization, concentrating on elements like cargo weight, launch site conditions, and rocket parameters. The research attempts to determine the most accurate predictor of launch success by utilizing many classification models, such as logistic regression, decision trees, and random forests. By identifying significant trends and variables that have a major impact on launch outcomes, the results provide valuable information for improving mission planning and lowering operating risks. This research and its contribution to the corpus of knowledge in predictive analytics and aerospace engineering affect the future of sustainable and affordable space exploration. The results represent a significant advancement in the pursuit of efficient space exploration as they highlight the potential of machine learning to improve the predictability and reliability of commercial space missions.

show abstract

Section: Factors Influencing Rocket Launch Successmentioning

confidence: 99%

Mastering the Cosmos: Leveraging Machine Learning to Optimize Spacex Falcon 9 Launch Success Rates

Edafetanure-Ibeh

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…While risk covers statistical events, uncertainty covers nonstatistical events. While grouping risky events as controllable and uncontrollable, all events within this group can be determined as dependent and independent, and in this context, dependent events can be grouped as completely dependent and partially dependent in Fig 1 [25][26][27][28].…”

Section: Risk Managementmentioning

confidence: 99%

Risk Mitigation for SMEs: A Step-by-Step Guide to Implementing an Effective Framework

2023

ferm

View full text Add to dashboard Cite

The success and sustainability of small and medium-sized enterprises (SMEs) significantly influences by their ability to identify, assess, and mitigate risks effectively. However, many SMEs often lack the resources and expertise to establish a robust risk management framework, leaving them vulnerable to potential threats and uncertainties. This comprehensive guide aims to bridge that gap by providing SMEs with a step-by-step approach to develop and implement an effective risk mitigation framework. The guide begins by highlighting the importance of risk management in the context of SMEs and its direct impact on their long-term growth and survival. A framework for ranking and categorizing risks based on their severity provided to help SMEs allocate resources efficiently. Once risks identified and prioritized, the guide delves into risk mitigation strategies. Various risk treatment options, including risk avoidance, risk reduction, risk transfer, and risk acceptance, explored in detail, enabling SMEs to make informed decisions based on their specific risk appetite and capacity. To ensure successful implementation, the guide outlines a step-by-step plan to integrate risk management into the organization's culture and operations. Key stakeholders' involvement and clear communication channels emphasized to foster risk-awareness throughout the SME. Furthermore, the guide underscores the significance of continuous monitoring and evaluation of the risk management framework. Periodic reviews allow SMEs to adapt their strategies as the business landscape evolves and new risks emerge. Real-world case studies and best practices incorporated throughout the guide to offer practical insights and illustrate the benefits of a well-structured risk management framework. By following this step-bystep guide, SMEs can proactively mitigate risks, enhance their decision-making process, and fortify their business against potential threats, ultimately paving the way for sustainable growth and long-term success.

show abstract

Risk Identification Analysis of Fire Accidents for Passenger Ships by FMEA

Jiang,

Fu,

2023

2023 7th International Conference on Transportation Information and Safety (ICTIS)

View full text Add to dashboard Cite

Analyzing spaceflight residual risk acceptance decisions before launch

Cited by 4 publications

References 12 publications

Mastering the Cosmos: Leveraging Machine Learning to Optimize Spacex Falcon 9 Launch Success Rates

Mastering the Cosmos: Leveraging Machine Learning to Optimize Spacex Falcon 9 Launch Success Rates

Risk Mitigation for SMEs: A Step-by-Step Guide to Implementing an Effective Framework

Risk Identification Analysis of Fire Accidents for Passenger Ships by FMEA

Contact Info

Product

Resources

About