Reviews

Ian Castle and Ian Knight, Fearful Hard Times: The Siege and Relief of Eshowe, 1879. Greenhill Books, London 1994, Pp.256, 85 illus, 6 maps, index. £17.95. ISBN 1–85367–180–0.

Michael E. Brown (ed.), Ethnic Conflict and International Security. Princeton: Princeton University Press, 1993, Pp.263, selected biblio, index. $45/£30 (cloth); $14.95/£12.95 (paper). ISBN 0–691–03368 and 00068–9.

Deborah Poole and Gerardo Renique, Peru: Time of Fear. London: Latin American Bureau (Research and Action) Ltd., 1992. Pp.212, 7 maps, photographs, glossary, sources/further reading, index. £17.99 ISBN 0–906156–70‐X and ‐71–8.

David A. Charters (ed.), Peacekeeping and the Challenge of Civil Conflict Resolution. Center for Conflict Studies, University of New Brunswick, 1994. Pp.viii+220. NP.

Joachim Remak, A Very Civil War: The Swiss Sonderbund War of 1847. Boulder, Colorado: Westview Press, 1993. Pp.xvi+221, 6 map's, 68 illus, biblio, index. $24.95/£16.95.     

Webs of Smoke: Drugs and Small Wars

War and drugs share many characteristics – both are destructive of human life, highly profitable to some, and efforts to regulate them have failed. In fact, at various times throughout history, war and drugs have been intertwined, prolonging human suffering, bedeviling political leaders and enriching a select few. The pernicious role of drugs in organized political violence is often overlooked. Drugs have been the cause of war, the funding for military operations, used by combatants and a part of the post-war political landscape. The insidious nature of drugs is especially visible in a certain type of war – small wars – yet is virtually unexamined by scholars and decision-makers.     

Human Capital,Natural Resource Scarcity and the Rwandan Genocide

Many authors contend that ethnic extremism coupled with political manipulation were the primary factors behind the Rwandan genocide. Yet, to oversimplify the cause of this tragedy makes one blind to the complicated nexus that generated the outcome. Even though this genocide was quick in its execution, the events that lead to this massacre took years to unfold. We argue that the evolution of human capital and the competition for scarce resources contributed to the genocide.     

Reassessing private military and security company (PMSC) ‘competition‘ in civil war: lessons from Sierra Leone

ABSTRACT

This paper challenges recent claims that competitive market dynamics incentivize Private Military and Security Companies (PMSCs) to fully commit to providing effective services, thereby reducing the duration of civil war. Our assessment of a most-likely case scenario for this argument – Sierra Leone – reveals four critical problems. First, there is rarely direct competition, even if numerous companies are present. Second, the presence of multiple PMSCs usually represents a collaboration among subsidiaries providing distinct services, often under the same corporate umbrella. Third, data aggregation obfuscates the overlap of PMSC presence, inflating the amount of perceived competition. Finally, we raise concerns regarding how quantitative analyses can conflate conflict intensity with conflict termination.     

The origin of internal security in Colombia: Part I — A CIA special team surveys La Violencia, 1959–60

In October 1959 the Eisenhower administration dispatched a CIA Special Team to survey the violence problem in Colombia. This article, part one of a two‐part series, examines this first significant attempt by a US administration to influence that nation's internal security situation. It investigates the Special Team's actions and analyses its recommendations for transforming Colombia's conventionally‐orientated security forces. The Team's survey, which focuses on counter‐insurgency tactics, civil action, intelligence operations, psychological warfare, and covert action, is the foundation from which Colombia's modern internal security structures are derived.     

Outbound supply chain network design with mode selection and lead time considerations

We present a large‐scale network design model for the outbound supply chain of an automotive company that considers transportation mode selection (road vs. rail) and explicitly models the relationship between lead times and the volume of flow through the nodes of the network. We formulate the problem as a nonlinear zero‐one integer program, reformulate it to obtain a linear integer model, and develop a Lagrangian heuristic for its solution that gives near‐optimal results in reasonable time. We also present scenario analyses that examine the behavior of the supply chain under different parameter settings and the performance of the solution procedures under different experimental conditions. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

A produce‐to‐stock system with advance demand information and secondary customers

We consider a manufacturer (i.e., a capacitated supplier) that produces to stock and has two classes of customers. The primary customer places orders at regular intervals of time for a random quantity, while the secondary customers request a single item at random times. At a predetermined time the manufacturer receives advance demand information regarding the order size of the primary customer. If the manufacturer is not able to fill the primary customer's demand, there is a penalty. On the other hand, serving the secondary customers results in additional profit; however, the manufacturer can refuse to serve the secondary customers in order to reserve inventory for the primary customer. We characterize the manufacturer's optimal production and stock reservation policies that maximize the manufacturer's discounted profit and the average profit per unit time. We show that these policies are threshold‐type policies, and these thresholds are monotone with respect to the primary customer's order size. Using a numerical study we provide insights into how the value of information is affected by the relative demand size of the primary and secondary customers. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

Robust tower location for code division multiple access networks

Designing Code Division Multiple Access networks includes determining optimal locations of radio towers and assigning customer markets to the towers. In this paper, we describe a deterministic model for tower location and a stochastic model to optimize revenue given a set of constructed towers. We integrate these models in a stochastic integer programming problem with simple recourse that optimizes the location of towers under demand uncertainty. We develop algorithms using Benders' reformulation, and we provide computational results. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2007