Staffing Counter-terrorism Agency's Teams Using Data Envelopment Analysis (DEA)
Counter-terrorism agencies (CTAs) such as Israel's General Security Service (Shabak) protect society against the threat of terrorism. In order to do so, they require many resources. Some of those are agents that gather intelligence and analyze it.
CTAs operate in a complex and inherently uncertain operational environment. Their ability to interdict terrorism depends, among other things, on the number of employed agents and their task allocation.
In this study we aim to develop an agent allocation method that will overcome the disadvantages of current methods that are discussed in the literature, and mainly rely on oversimplified assumptions. In order to do that, we employ the Data Envelopment Analysis (DEA) method.
DEA is a data oriented approach for evaluating the performance of a set of peer entities which convert multiple inputs into multiple outputs . In the last decades, a variety of DEA applications have been developed in order to evaluate the performance of different entities in all kinds of environments. For example, DEA applications were developed for evaluating performance of entities in universities, hospitals, courts, banks and air forces wings. One of the main benefits of DEA is the fact that it is based on real data, and does not require making explicit assumptions. Therefore, DEA applications are considered to be applicable in real-life cases.
This study focuses on developing DEA based methods for dealing with staffing issues in CTAs.