LogCOP provides updated readiness and capability assessments by using software agents to link tactical warfighter databases and parse message traffic to detect changes in materiel conditions. Using LogCOP...
Combatant Commanders and their staffs make better decisions through user-customized automated searches to identify which units:
- Can react fastest
- Are closest to the mission location
- Have the best M-ratings for a successful mission
- May need to be pulled back due to a low M-rating
Operations Officers identify:
- Nearest sources of critical parts and supplies
- Friendlies’ locations, courses, speeds and intercept parameters
Logisticians improve efficiency by:
- Searching group munitions and parts inventories
- Automatically identifying which units most need available parts and supplies
- Expediting logistics requests (LOGREQs) by creating and organizing needed logistics data
Focus on the job — not the software
LOGCOP uses intuitive geospatial visualization and intelligent software agents to maintain an up-to-date logistics common operating picture that simplifies decisions that affect or are affected by logistics considerations. Designed to provide an integrated view of logistical data to Navy & Marine Corps personnel, LogCOP has competitively won all three levels of Small Business Innovative Research (SBIR) research and development. LogCOP’s automated decision support tools alert and link the warfighter to logistics databases and management tools through an intuitive common operating picture. LogCOP autonomously parses incoming messages using agent technology to monitor message traffic in these formats:
- SORTS
- CASREP
- OPREP-5
- MILSTRIP
LogCOP expedites report-generating functions associated with daily briefs and weekly reports and substantially reduced the amount of time needed by users to create the reports. Successfully demonstrated during Trident Warrior ‘ 08 and Operational Level Command and Control (OLC2) exercises, LogCOP reports fuel and munitions information, displaying the information geospatially by using constantly updated mapping data.







