Dynamic High-Performance Decision-Making in Air Defense System Operation

Decision-making in critical situations which are time-constraint and high-impact requires comprehensive information and a careful process. Such situations are always faced by an air defense commander who has the responsbility to secure the national airspace from any intruder which tries to enter the airspace anytime from anywhere. In a critical situation where an unknown or unregistered object enters the airspace, the air defense commander has to make the right decision based on the data and the information from its subordinates at the soonest time. An air defense system is a combination of sensors, weapons, command and control (C2), intelligence systems, communications, and personnel that forms Command, Control. Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) operating under a designated air defense commander. Because of its criticality in time and precision in decision, in this study we proposed a solution to help the process of decision-making in the air defense system by modeling the dynamics of decision-making by using social network approach based on modified Friedkin-Johnsen model. We found that this model is helpful for an air defense commander in making a decision accordingly to the information received from his subordinates, and shortens the data processing in the decision-making process. Some air defense decision-making scenarios with different sensory apparatus configurations are also presented to show how it works in a dynamic situation and its high- performance in delivering a better decision.