“GOOD COP/BAD COP” AS A MODEL FOR NONPROLIFERATION DIPLOMACY TOWARD NORTH KOREA AND IRAN

Scholarly and popular literature in the recent past has framed nonproliferation diplomacy toward both Iran and North Korea as an example of “good cop/bad cop,” a social-psychological strategy borrowed from law enforcement to describe a process for forcing a confession by subjecting a target to stressful emotional contrast. This article examines those two cases, roughly covering the period since 2003, when the most recent attempts to deal with the Iranian and North Korean proliferation threats began, in light of criteria for employment of the good cop/bad cop strategy. There is some evidence that within the framework of the six-party talks with North Korea and within the framework of the EU-3-U.S. diplomacy toward Iran, the players seeking nonproliferation have adopted good cop/bad cop roles to that end. The article concludes, however, that while there are similarities to the interrogation room technique, the complexity of the international political environment as compared to the interrogation room has prevented the states involved from successfully adopting or effectively exploiting good and bad cop roles. Substantial and exploitable differences of interest among them, and the availability of alternative “escape routes” for the target state, raise serious questions about the applicability of the good cop/bad cop strategy to these two nonproliferation cases, and even about its applicability in future nonproliferation challenges.     

Defense Spending Promotes Aggregate Output in the United States--Evidence from Cointegration Analysis

This paper provides new evidence on the question of the effects of defense spending on aggregate output in the United States. Earlier studies of this basic issue relied on traditional econometric techniques and the neoclassical production function theory. In this paper, recently developed cointegration methodology and modeling that is inspired by new macroeconomic theory is employed. The results from earlier studies concerning the effects of defense spending are mixed. The findings presented in this paper reveal that there is a quantitatively important and positive relation between defense spending and aggregate output in the United States.     

Interval scheduling: A survey

In interval scheduling, not only the processing times of the jobs but also their starting times are given. This article surveys the area of interval scheduling and presents proofs of results that have been known within the community for some time. We first review the complexity and approximability of different variants of interval scheduling problems. Next, we motivate the relevance of interval scheduling problems by providing an overview of applications that have appeared in literature. Finally, we focus on algorithmic results for two important variants of interval scheduling problems. In one variant we deal with nonidentical machines: instead of each machine being continuously available, there is a given interval for each machine in which it is available. In another variant, the machines are continuously available but they are ordered, and each job has a given “maximal” machine on which it can be processed. We investigate the complexity of these problems and describe algorithms for their solution. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

Rendez‐vous search on a rectangular lattice

In a rendez‐vous search two or more teams called seekers try to minimize the time needed to find each other. In this paper, we consider s seekers in a rectangular lattice of locations where each knows the configuration of the lattice, the distribution of the seekers at time 0, and its own location, but not the location of any other. We measure time discretely, in turns. A meeting takes place when the two seekers reach the same point or adjacent points. The main result is that for any dimension of lattice, any initial distribution of seekers there are optimal strategies for the seekers that converge (in a way we shall make clear) to a center. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

Multidirectional scheduling scheme in resource‐constrained project schedulingproblem

In 2000, Klein showed that bidirectional scheduling schemes (bidss) outperform single‐directional scheduling schemes (e.g., forward or backward schemes). In 2010, Yoosefzadeh, et al. [J Math Model Algor 9 (2010), 357–373] showed that depending on the nature of the problems and also the type of priority rules used, schedules produced by a so‐called tridirectional scheduling scheme (trdss) yields shorter makespans when compared to forward, backward, and even bidss. Since the justification technique is applied in many of the state‐of‐the‐art algorithms nowadays, we show that the tuned version of the trdss outperforms the double justification technique. Moreover, we investigate the circumstances under which the trdss is more probable to generate schedules with shorter makespans. To this end, we introduce a new measure of resource requirements and their distributions, namely total amount of overflows. Our analytical as well as empirical investigations show that when the new measure is increased, it is more probable to obtain schedules with shorter makespans using the trdss. © 2013 Wiley Periodicals, Inc. Naval Research Logistics 61: 44–55, 2014     

Critics gone wild: Counterinsurgency as the root of all evil

The Western interventions in Iraq and Afghanistan have produced a heated polemic concerning the merits and demerits of counterinsurgency – the operational approach underpinning both campaigns. The two books reviewed here provide a good summation of the arguments against counterinsurgency: it is not a strategy and will fail when mistaken as such; its theory does not make intervention and war significantly easier; and even the most successful counterinsurgency campaigns have been bloody, violent, and protracted. Yet as this review highlights, beyond these central points, criticism of counterinsurgency is too often off the mark in its approach and totalizing in its pretentions. There is much to criticize and an urgent need to learn from past campaigns, yet bold claims and broad generalizations can mislead rather than enlighten. The analysis is particularly unhelpful when the definition of the central issue at hand – counterinsurgency – is being unwittingly or deliberately distorted. In the end, these two books form a poor basis for the debate that must now take place, because they are too ideological in tone, too undisciplined in approach, and therefore too unqualified in what they finally say.     

Optimal policies for stochastic clearing systems with time-dependent delay penalties

We study stochastic clearing systems with a discrete-time Markovian input process, and an output mechanism that intermittently and instantaneously clears the system partially or completely. The decision to clear the system depends on both quantities and delays of outstanding inputs. Clearing the system incurs a fixed cost, and outstanding inputs are charged a delay penalty, which is a general increasing function of the quantities and delays of individual inputs. By recording the quantities and delays of outstanding inputs in a sequence, we model the clearing system as a tree-structured Markov decision process over both a finite and infinite horizon. We show that the optimal clearing policies, under realistic conditions, are of the on-off type or the threshold type. Based on the characterization of the optimal policies, we develop efficient algorithms to compute parameters of the optimal policies for such complex clearing systems for the first time. We conduct a numerical analysis on the impact of the nonlinear delay penalty cost function, the comparison of the optimal policy and the classical hybrid policy (ie, quantity and age thresholds), and the impact of the state of the input process. Our experiments demonstrate that (a) the classical linear approximation of the cost function can lead to significant performance differences; (b) the classical hybrid policy may perform poorly (as compared to the optimal policies); and (c) the consideration of the state of the input process makes significant improvement in system performance.     

On the (S − 1, S) lost sales inventory model with priority demand classes

In this paper an inventory model with several demand classes, prioritised according to importance, is analysed. We consider a lot‐for‐lot or (S ? 1, S) inventory model with lost sales. For each demand class there is a critical stock level at and below which demand from that class is not satisfied from stock on hand. In this way stock is retained to meet demand from higher priority demand classes. A set of such critical levels determines the stocking policy. For Poisson demand and a generally distributed lead time, we derive expressions for the service levels for each demand class and the average total cost per unit time. Efficient solution methods for obtaining optimal policies, with and without service level constraints, are presented. Numerical experiments in which the solution methods are tested demonstrate that significant cost reductions can be achieved by distinguishing between demand classes. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 593–610, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/nav.10032