JEDI MN LOG COP
Enhance the utility of multinational data aggregated within LOGFAS to aid in command and control and decision support
Do you want to easily access actionable multinational data and reduce your staff's work load simultaneously?
JEDI MN LOG COP helps decision makers to understand their logistic and operational data by automating the production of a Recognized Logistics Picture replacing any manual processes, leveraging modern web based technologies and data analysis tools
Benefits
| Display data from all partners using LOGFAS |
| Provides views of LOGFAS data in simple, graphical displays, tailorable to each user |
| Facilitates collaborative planning to achieve situational awareness |
| Removes the manual processing of data during and after an operation |
| Gives direct access to historical data (backup, daily copy for future analysis) |
| Does not require users to have LOGFAS clients installed, or be proficient in LOGFAS |
| Limits the burden of LOGFAS installation, setup and training for decision makers |
30+
NATO members and partner Nations using LOGFAS and already compatible with MN LOG COP
Dashboard
Staff officers can brief directly from the dashboard
Decision makers can use the dashboard to perform analyses or support decisions.
Graphics can be captured for reuse in external documents and slides.
Map
Decision makers can leverage the map to evaluate supply levels of nearby forces during sustainment
Use of the map allows more users to have visibility of multinational resources available in the operations area, reducing inefficient strategic movements of redundant resources from outside of the area of operation to meet national demand
Customization
JEDI MN LOG COP is fully customizable
- to the user
- to the nation
- to the commodity
- to the operation
- to a timeframe
Automation
JEDI MN LOG COP interacts with LOGFAS in the background, meaning users have access to LOGFAS data without the need to train or knowingly interact with LOGFAS
Synchronization jobs can be automated and scheduled to periodically retrieve and archive data from LOGFAS, giving users access to historical data for further analysis