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GTC Analytics provides modeling & simulation solutions ranging from high-fidelity physics-based models to systems-of-systems level model-based systems engineering (MBSE) to accurately represent how physical systems behave. These solutions replace typical, document-based facility management methods to help organizations understand relationships between facilities, equipment, and stakeholders to make high-level decisions.
GTC Analytics researchers leverage their expertise in modeling and simulation to develop tools to enhance decision-making processes at an enterprise level. To replace traditional, inefficient document-based methods of facilities management, GTC Analytics designed and utilized state-of-the-art modeling, such as model-based systems engineering (MBSE), to provide quick and accurate information for informed decision-making.
Connect disparate data from across an organization
Perform “what if” and tradeoff analysis
Compile and process information into an easily understandable dashboard
Increase visibility of key information to stakeholders to enable better informed, data-driven decision-making around an organization’s facilities, assets, and operations
“What-if” analysis
System health visualization
Early fault diagnosis
Predictive maintenance
Remaining useful life prediction
Multi-objective optimization
Reliable and predictable operations
Increased operational uptime
Reduced unplanned maintenance
Efficient resource management
Reduces operator engagement
NASA Space Habitats
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