M&S for Synthetic Training Template

Design and guide synthetic training environments with a structured, model-driven approach. Discover a high-level foundation for applying modeling and simulation principles, enabling alignment with DoD standards, modernization efforts, and data strategies.

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Key Elements

documents dashboard

requirements view

synthetic training framework

modeling and simulation principles

defense standards and data strategies alignment

 

Made For

systems engineers

defense contractors

training and simulation engineers

government agencies

 

Available For

Sandbox

Academic

Paid

M&S for Synthetic Training (1)

What Is the M&S for Synthetic Training GRA?

The Modeling and Simulation (M&S) for Synthetic Training Government Reference Architecture (GRA) is a high-level framework that defines principles and practices for building and managing synthetic training environments.

 

What It Does

This GRA provides guidance for developing effective and interoperable training systems. It generally includes:

Principles and best practices: Establishing foundational guidance for modeling and simulation in synthetic training environments.

Standards alignment: Ensuring compatibility with DoD reference architectures, modernization initiatives, and data strategies.

Requirements support: Helping organizations define, structure, and communicate training system requirements to stakeholders and implementation teams.

Interoperability and scalability: Promoting consistent approaches that enable systems to integrate and evolve over time.

 

Where You Might See This GRA?

  • DoD training and simulation program development
  • Synthetic environment and digital training system design
  • Model-based systems engineering (MBSE) environments for defense applications

Specification Template Included

Request access to the following specification.

 

Accelerate Your Project With Model-Driven Synthetic Training Architecture

Access a structured, traceable framework to support the design, development, and integration of next-generation training systems.