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DEVELOPMENT OF A KNOWLEDGE MANAGEMENT MODEL IN LARGE-SCALE INTERNATIONAL SPACE SCIENCE PROJECTS
Title
DEVELOPMENT OF A KNOWLEDGE MANAGEMENT MODEL IN LARGE-SCALE INTERNATIONAL SPACE SCIENCE PROJECTS.
Creator
Nunez, Jose, Kotnour, Timothy, University of Central Florida
Abstract / Description
Large-scale international science projects (LISPs) are those projects where two or more countries formally agree to cooperate toward the achievement of a scientific, research and development, or engineering goal. In general, only projects exceeding $1 billion U.S. are considered LISPs, so sheer size commands attention, and because they are so costly and visible, failure can lead to significant scientific, financial and political consequences. This researched focused on how 7 different...
Show moreLarge-scale international science projects (LISPs) are those projects where two or more countries formally agree to cooperate toward the achievement of a scientific, research and development, or engineering goal. In general, only projects exceeding $1 billion U.S. are considered LISPs, so sheer size commands attention, and because they are so costly and visible, failure can lead to significant scientific, financial and political consequences. This researched focused on how 7 different critical success factors impacted the level of technical interface knowledge shared among international partners involved in a large-scale international space science project (LISSP) – the International Space Station (ISS), which is currently under assembly and testing at the Kennedy Space Center, Florida. The research methodology employed documentation review, individual interviews and surveys of experienced engineers and managers from three different countries associated with the ISS. The research methodology was applied to three different cases (retrospectively) involving the processing of flight hardware from the three different international partners. The analysis showed that only 5 out of the 7-factor model played a significant role in the level of knowledge sharing between partners. The developed model provides future international partnerships with critical success factors that they can apply to their specific project / mission teams in order to improve the level of knowledge shared between them.
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Date Issued
2005
Identifier
CFE0000656, ucf:46501
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0000656
A Systems Approach to Assessing, Interpreting and Applying Human Error Mishap Data to Mitigate Risk of Future Incidents in a Space Exploration Ground Processing Operations Environment
Title
A Systems Approach to Assessing, Interpreting and Applying Human Error Mishap Data to Mitigate Risk of Future Incidents in a Space Exploration Ground Processing Operations Environment.
Creator
Alexander, Tiffaney, McCauley, Pamela, Rabelo, Luis, Karwowski, Waldemar, Nunez, Jose, University of Central Florida
Abstract / Description
Research results have shown that more than half of aviation, aerospace and aeronautics mishaps/incidents are attributed to human error. Although many existing incident report systems have been beneficial for identifying engineering failures, most of them are not designed around a theoretical framework of human error, thus failing to address core issues and causes of the mishaps. Therefore, it is imperative to develop a human error assessment framework to identify these causes. This research...
Show moreResearch results have shown that more than half of aviation, aerospace and aeronautics mishaps/incidents are attributed to human error. Although many existing incident report systems have been beneficial for identifying engineering failures, most of them are not designed around a theoretical framework of human error, thus failing to address core issues and causes of the mishaps. Therefore, it is imperative to develop a human error assessment framework to identify these causes. This research focused on identifying causes of human error and leading contributors to historical Launch Vehicle Ground Processing Operations mishaps based on past mishaps, near mishaps, and close calls. Three hypotheses were discussed. The first hypothesis addressed the impact Human Factor Analysis and Classification System (HFACS) contributing factors (unsafe acts of operators, preconditions for unsafe acts, unsafe supervision, and/or organizational influences) have on human error events (i.e. mishaps, close calls, incident or accidents) in NASA Ground Processing Operations. The second hypothesis focused on determining if the HFACS framework conceptual model could be proven to be a viable analysis and classification system to help classify both latent and active underlying contributors and causes of human error in ground processing operations. Lastly, the third hypothesis focused on determining if the development of a model using the Human Error Assessment and Reduction Technique (HEART) could be used as a tool to help determine the probability of human error occurrence in ground processing operations. A model to analyze and classify contributing factors to mishaps or incidents, and generate predicted Human Error Probabilities (HEPs) of future occurrence was developed using the HEART and HFACS tools. The research methodology was applied (retrospectively) to six Ground Processing Operations (GPO) Scenarios and 30 years of Launch Vehicle Related Mishap Data. Surveys were used to provide Subject Matter Experts' (SMEs) subjective assessments of the impact Error Producing Conditions (EPC) had on specific tasks. In this research a Logistic Binary Regression model, which identified the four most significant contributing HFACS human error factors was generated. This model provided predicted probabilities of future occurrence of mishaps when these contributing factors are present. The results showed that the HEART and HFACS methods, when modified, can be used as an analysis tool to identify contributing factors, their impact on human error events, and predict the potential probability of future human error occurrence. This methodology and framework was validated through consistency and comparison to other related research. A contribution methodology for other space operations and similar complex operations to follow was provided from this research. Future research should involve broadening the scope to explore and identify other existing models of human error management systems to integrate into complex space systems beyond what was conducted in this research.
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Date Issued
2016
Identifier
CFE0006829, ucf:51795
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0006829