Every year the world faces many different and diverse types of disasters. The effects of these catastrophes are vast and disastrous for humanity. These effects include economic devastation, massive structural damage, and an enormous number of fatalities. The most critical stage in the management of disasters is the response phase. The design of an effective response network is important to mitigate the effects of a disaster. The primary mission of any response system deals with the search and rescue of civilians. But in this period, the response networks are working under abnormal operating conditions with an overload of demand and uncertainty of information. Accordingly, the decisions made to deploy response units are critical. This research proposes a mathematical model in which decision-makers can more accurately allocate response units immediately following the impact of a disaster. This will increase the foresight, resilience, and success of response networks and their control of resource systems. Consequently, the response system will be more effective in reducing the number of civilian injuries and ultimately fatalities.