MCO 5200.28B governs Marine Corps modeling and simulation management, including oversight, integration, interoperability, infrastructure, and capabilities.
View MCO 5200.28B on armypubs.army.mil
MCO 5200.28B establishes centralized oversight and coordination for acquisition, analysis, experimentation and wargaming, intelligence, and training M&S communities. It requires enterprise policies, standardized data, interoperable architectures, workforce development, and synchronized science and technology efforts.
Applies to: The scope of this Order consists of managing, resourcing, acquiring, engineering, and operating individual components of the M&S capabilities; managing integration and interoperability between components of M&S capabilities; and enabling infrastructure (i.e., ranges, networks, data centers) that supports reference (a).
To set conditions that are favorable for M&S management, Marine Corps M&S communities will use technical standards and standardized data (using common and authoritative data sources and formats); operate on interoperable, open architectures, including those in reference (n); strive to achieve on-demand network accessible capabilities; make efficient use of limited resources; deliver effective M&S solutions based on documented, transparent and operationally validated concepts, conceptual models, proven development approaches; and provide realistic simulation environments that enhance Marine Corps military operations. (paragraph 2)
In order to achieve the envisioned growth, the Marine Corps will improve the visibility and understanding of government, industry, and academic M&S opportunities; strengthen M&S training and education content; improve the visibility and understanding of government, industry, and academic M&S opportunities; and determine if the certification of M&S personnel is required. (paragraph 4)
The organization or individual responsible to approve the use of models, simulations, and associated data for a particular application (note: specific intended use). (paragraph 5)
The process of determining the degree to which a model or simulation and its associated data are an accurate representation of the real world from the perspective of the intended uses of the model. (paragraph 1-4)