Empowering Precision in Model Based System Engineering Applications
Empowering Precision in Model Based System Engineering Applications
RTSync envisions fully integrated M&S support of the Model Based System Engineering (MBSE) life cycle. Our unique DEVS-based technology includes system architecture modeling, simulation, and analysis in one framework and toolchain.
RTSync’s unique approach to testing and evaluation is based on DEVS system modeling. Its automated test generation process saves time and money for government and industry customers.
RTSync envisions fully integrated M&S support of the Model Based System Engineering (MBSE) life cycle. Our unique DEVS-based technology includes system architecture modeling, simulation, and analysis in one framework and toolchain.
RTSync Corp provides Testing and Evaluation, Model Based System Engineering (MBSE), and Predictive Analytics, AI and Machine Learning technology solutions based on its advanced modeling and simulation ("M&S") methodology and software environments derived from its dedicated research and development work.
RTSync’s vision is to become the leading authority on MBSE with unique and powerful simulation-based predictive analytics for Artificial Intelligence-based systems. RTSync’s technology in MBSE and AI / ML is expanding traditional systems engineering to incorporate AI, ML, and other complex systems engineering practices.
RTSync has commercialized Discrete Event System Specification (DEVS) formalism and System Entity Structure (SES) ontology, which were developed on the firm mathematical system theory foundation that constitutes a well-founded computational basis for system theory based modeling and simulation, needed by today’s digital engineering and digital services.
The company's expertise and services include the DEVS-based M&S framework, software environment, and methodologies for test and evaluation of distributed systems.
RTSync's core competencies are the award-winning simulation technology development capabilities based on proven systems theory and modeling concepts, employing state of the art software tool sets.
RTSync Corporation develops advanced modeling and simulation ("M&S") methodology and software environments and provides consulting services.
Utilizing Generative AI, MS4 Me facilitates comprehensive system requirements analysis by enabling users to model and simulate various scenarios, ensuring that all functional and non-functional requirements are met before system development.
Through its intuitive interface, MS4 Me supports activity generation with Generative AI by allowing users to define and simulate sequences of actions and events within a model, aiding in the visualization and refinement of system processes.
MS4 Me excels in DEVS simulation generation by providing tools to create, configure, and execute DEVS models, allowing users to analyze the dynamic behavior of complex systems over time.
With MS4 Me, users can perform detailed workflow analysis by modeling and simulating operational processes, identifying bottlenecks, and optimizing workflows for improved efficiency and effectiveness.
This demo video shows that CHATGPT generates an Activity Diagram from unstructured data source slideware and turns it into a simulation for workflow timing analysis of the Patient Journey diagram in the military healthcare system (MHS). This GPT - Simulation based workflow timing analysis took less than 30 minutes while it would take days or weeks for a human analyst to do the same task.
You can predict performance of your workflow process using CHATGPT and your Powerpoint slide.
In this demo, CHATGPT reads in a Clinic scheduling problem document and generates an Activity Diagram. RTSync's MS4 Me software toolset turns the Activity Diagram into a simulation for the workflow timing analysis. This GPT - Simulation based workflow timing analysis took less than 30 minutes while it would take days or weeks for a human analyst to set up similar timing analyses.
Digital Twin Capstone project now generated by ChatGPT as an executable activity diagram. Powered by RTSync's Devs-based software application MS4 Me. What took a team of 6 engineers (3 students and 3 industry sponsors) 4 months of collaboration now collapsed into minutes. This is the future of systems engineering. Spend more time engineering the system through AI-assisted models and less time on generating models. Transformational!
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