Doubly Stochastic Sequential Assignment Problem

This article introduces the Doubly Stochastic Sequential Assignment Problem (DSSAP), an extension of the Sequential Stochastic Assignment Problem (SSAP), where sequentially arriving tasks are assigned to workers with random success rates. A given number of tasks arrive sequentially, each with a random value coming from a known distribution. On a task arrival, it must be assigned to one of the available workers, each with a random success rate coming from a known distribution. Optimal assignment policies are proposed for DSSAP under various assumptions on the random success rates. The optimal assignment algorithm for the general case of DSSAP, where workers have distinct success rate distribution, has an exponential running time. An approximation algorithm that achieves a fraction of the maximum total expected reward in a polynomial time is proposed. The results are illustrated by several numerical experiments. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 124–137, 2016     

Air power in humanitarian intervention: Kosovo and Libya in comparative perspective

It would be hard to overstate the importance of air power in humanitarian intervention (HI) and the Responsibility to Protect (R2P). Yet, the role of air power in HI and R2P has been understudied. This article seeks to remedy the lack of systematic investigation. It does so by developing a framework for assessing the effectiveness of air power during military operations in HI and R2P and applies it to NATO’s air campaigns in Kosovo (Operation Allied Force) and Libya (Operation Unified Protector). Upon examination NATO is revealed to have fared better in Libya than Kosovo in positively accomplishing its stated humanitarian objectives, minimizing collateral damage and reducing the costs for the interveners, all of which are aspects considered by the model. The relative effectiveness of Operations Unified Protector is generally attributed to geography, diplomacy and technology. It is argued that better ground support, unmanned aerial vehicles (UAVs) and burden sharing are needed to enhance the utility of air power in HI and R2P even further.