TINCOPS is a knowledge-based decision support system that manages and deploys knowledge for the U.S. military’s complex combat decision support applications and for analyzing and evaluating logistics plans.
The result of mission planning is a strategy for accomplishing the intended objectives that reflects decisions on the best methods and course of actions to follow. The mission planning process is knowledge intensive and involves a number of factors that must be considered including uncertainties in the intelligence collected, enemy response, changes in logistics needs or routes, etc. In addition, once the mission is active, changes in the battlespace can occur rapidly and commanders must receive accurate and current combat situational information in order to craft the most effective response and change to the original strategy.
Pathfinder is a comprehensive suite of technologies for life-cycle cost justification, cost/benefit analysis, integrated performance prediction, quantified trade-off analysis, and management decision-making for individual project selection, monitoring, and control.
Pathfinder, a KBSI-led effort in partnership with Texas A&M University (TAMU), focused on the design and development of a comprehensive suite of technologies for life-cycle cost justification, cost/benefit analysis, integrated performance prediction, quantified trade-off analysis, and management decision-making for individual project selection, monitoring, and control. The goals of Pathfinder addressed the need for life-cycle costing in depot environments, where the operational benefits of acquiring and maintaining weapons systems must be continually balanced.
FIEA is a language, tool framework, and methodology that enables the Air Force and DoD to share data among the many vendor specific tools and applications used in global joint service and multinational operations.
These tools, at best, provide a means for government agencies and their contractors to document their enterprise architectures: they don’t facilitate the model-based analysis of architectures, a critical step in improving systems capability, acquisition, and investment returns.