Making long-range planning work: the case of the US Army's 30-year strategic modernization plan

The extensive timespan of evolving assumptions about future adversaries, US military engagements, and technology inherent in the US Army's 30-year modernization strategy can overwhelm the management capacity of planners, and misdirect acquisition investments. Some military scholars have argued that long-range planning is futile due to the complexities of the global security environment. So how can the US Army manage the evolving assumptions inherent in its 30-year modernization strategy to ensure it remains a superior global force? This study will answer the above question by arguing that the US Army's 30-year modernization strategy, while emulative of a similar modernization approach in the threat-based planning environment of the Cold War, is viable if supported by a method and a tool that manage investments and planning assumptions.     

Simplified estimates of the parameters of the double exponential distribution based on optimum order statistics from a middle-censored sample

In an ordered sample from a given population, a few of the consecutive observations from somewhere in the middle may be missing Further, we may be constrained to use a few, and not all, of the remaining observations for purposes of estimation of population parameters. In this paper, such a situation is considered for the double exponential distribution and best linear unbiased estimates are obtained for its parameters, based on a choice of an optimum set of order statistics when the number of observations in the set are prefixed.     

The search for an intelligent evader: Strategies for searcher and evader in the two-region problem

This paper considers the search for an evader concealed in one of two regions, each of which is characterized by its detection probability. The single-sided problem, in which the searcher is told the probability of the evader being located in a particular region, has been examined previously. We shall be concerned with the double-sided problem in which the evader chooses this probability secretly, although he may not subsequently move: his optimal strategy consists of that probability distribution which maximizes the expected time to detection, while the searcher's optimal strategy is the sequence of searches which limits the evader to this expected time. It transpires for this problem that optimal strategies for both searcher and evader may generally be obtained to a surprisingly good degree of approximation by using the optimal strategies for the closely related (but far more easily solved) problem in which the evader is completely free to move between searches.     

Postoptimality analysis in zero-one programming by implicit enumeration

The procedures for postoptimality analysis that are so much a part of linear programming studies have no simple counterparts in an integer programming context. In the case of Balas' Additive Algorithm, however, it would appear that the capacity of the technique to facilitate certain types of postoptimality analysis has not been fully exploited. This paper proposes an extension of the additive algorithm that utilizes insights generated while solving the original problem to do subsequent analysis upon it. In particular, procedures are developed for doing limited parameter ranging and for seeking new optima in light of parameter changes.     

Whither the Iraqi Insurgency: Prospects for Counterinsurgent Success

The 2003 conflict between Iraq and the US-led Coalition resulted in liberation for the country, enabling its citizens to experience freedom they have not had for decades. While the US-led operation was successful, insurgent movements have hindered the reconstruction efforts and the rebuilding of the government in Iraq. The tactics used by these insurgent groups are not that of 'traditional' warfare, therefore the US and Coalition forces adapted their tactics to respond to this new threat. It is argued that with the application of the Manwaring Paradigm (also known as the SWORD Model), the US and Coalition forces successfully responded to the insurgent movements during the period leading up to the Iraqi elections in January 2005.     

Mitigation of the blast load effects on a building structure using newly composite structural configurations

In this study, a nonlinear three-dimensional hydrocode numerical simulation was carried out using AUTODYN-3D to investigate the effect of blasting of a high explosive material (TNT) against several configurations of the composite structure. Several numerical models were carried out to study the effect of varying the thickness of the walls and the effect of adding an air layer or aluminum foam layer inside two layers of concrete in mitigating the effect of blast waves on the structure walls. The results showed that increasing the thickness of walls has a good effect on mitigating the effect of blast waves. When a layer of air was added, the effect of blast waves was exaggerated, while when a layer of aluminum foam was added the blast wave effects were mitigated with a reasonable percentage.     

Does civil war hamper financial development?

We examine how armed conflict effects financial development in a cross-country setting using dynamic panel data analysis in a panel of 66 developing countries for the period 1985–2010. Financial development is measured by M2 as a share of GDP, and credit allocated to private sector by banks as a share of GDP. Our findings suggest that armed conflict has a significant adverse effect on financial development. Simultaneously, the quality of governance is always highly significant and conducive to the financial development. The quality of governance is more salient in determining financial development compared to low- and medium-intensity armed conflict; however, the quality of governance cannot entirely offset the adverse impact of high-intensity armed conflict on financial development.     

Revisiting the Naga conflict: what can India do to resolve this conflict?

Soon after India attained its independence from British colonial administration in 1947 the Nagas started waging an armed conflict against India to establish a sovereign independent state in Nagaland in the country's Northeast region. The conflict is today one of the world's longer running and little known armed conflicts. India's central government has tried unsuccessfully to tackle the problem through political reconciliation, use of force, and several development measures. Over the years, it has also undergone several changes in which the situation of conflict deepened whenever India's central government intervened. And yet, the road ahead also faces severe challenges because the demand for bringing the Nagas of India together into a single political entity will not go unchallenged from other ethnic groups. Moreover, a bitter leadership battle divides the Naga rebels and hence any future agreement is likely to be difficult due to factional politics as have happened in the past. Thus one way to satisfy the aspirations of different ethnic groups while protecting the boundaries of the existing states in India is to explore the option of cultural autonomy. This idea is not entirely new, but has lost significance over the years.     

Dynamic programming approaches to the multiple criteria knapsack problem

We study the integer multiple criteria knapsack problem and propose dynamic‐programming‐based approaches to finding all the nondominated solutions. Different and more complex models are discussed, including the binary multiple criteria knapsack problem, problems with more than one constraint, and multiperiod as well as time‐dependent models. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 57–76, 2000