War for profit: English corsairs,institutions and decentralised strategy

In this study, we propose that in states with relatively weak central authorities, decision-makers had to develop market-oriented organisation solutions to successfully face a grave external threat, and these solutions proved to be efficient. Using an interdisciplinary approach that combines institutional theory, history and strategy, we analyse a case study, the use of corsairs (privateers) by England in the late sixteenth and early seventeenth centuries. We have found that the development of partnership companies went hand in hand for commercial and military purposes. English privateers proved to be economically efficient and superior to the centrally planned war operations of the Spanish empire.     

Dynamic pricing and inventory control with learning

Optimal operating policies and corresponding managerial insight are developed for the decision problem of coordinating supply and demand when (i) both supply and demand can be influenced by the decision maker and (ii) learning is pursued. In particular, we determine optimal stocking and pricing policies over time when a given market parameter of the demand process, though fixed, initially is unknown. Because of the initially unknown market parameter, the decision maker begins the problem horizon with a subjective probability distribution associated with demand. Learning occurs as the firm monitors the market's response to its decisions and then updates its characterization of the demand function. Of primary interest is the effect of censored data since a firm's observations often are restricted to sales. We find that the first‐period optimal selling price increases with the length of the problem horizon. However, for a given problem horizon, prices can rise or fall over time, depending on how the scale parameter influences demand. Further results include the characterization of the optimal stocking quantity decision and a computationally viable algorithm. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 303–325, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/nav.10013     

The Shifting Determinants of Defense Spending Preferences Between 1980 and 2008

This paper analyzes defense spending preferences using ordered logit regression analysis of American National Election Survey data from 1980 through 2008. Our results indicate that as opposed to having the ideology of isolationism, political party identification towards the Republican Party or having economic stakes in defense spending always play a significant role in increased preference towards defense spending. Demographic groups such as Native Americans, Hispanics, and retired women, a demographic subgroup, display generally positive preferences towards defense spending. Somewhat surprisingly, another demographic subgroup, ‘security moms,’ do not show a preference. Our analysis also displays lower (higher) preference in the early 1990s (2000s) for defense spending compared to the year 2008.     

A Review of Recent Advances and Future Directions in the Quantitative Literature on Civil War

This paper reviews the booming literature on civil war. It presents the major theoretical perspectives and key empirical results on the determinants of civil war. The paper identifies controversies in the field and suggests ways to improve and organize our research. The conclusion outlines possible future directions for research on civil wars.     

Single- and multiple-processor models for minimizing completion time variance

This article concerns the scheduling of n jobs around a common due date, so as to minimize the average total earliness plus total lateness of the jobs. Optimality conditions for the problem are developed, based on its equivalence to an easy scheduling problem. It seems that this problem inherently has a huge number of optimal solutions and an algorithm is developed to find many of them. The model is extended to allow for the availability of multiple parallel processors and an efficient algorithm is developed for that problem. In this more general case also, the algorithm permits great flexibility in finding an optimal schedule.     

Augmented nested sampling for stochastic programs with recourse and endogenous uncertainty

We propose a novel simulation‐based approach for solving two‐stage stochastic programs with recourse and endogenous (decision dependent) uncertainty. The proposed augmented nested sampling approach recasts the stochastic optimization problem as a simulation problem by treating the decision variables as random. The optimal decision is obtained via the mode of the augmented probability model. We illustrate our methodology on a newsvendor problem with stock‐dependent uncertain demand both in single and multi‐item (news‐stand) cases. We provide performance comparisons with Markov chain Monte Carlo and traditional Monte Carlo simulation‐based optimization schemes. Finally, we conclude with directions for future research.     

Scheduling and lot streaming in two‐machine open shops with no‐wait in process

We study the problem of minimizing the makespan in no‐wait two‐machine open shops producing multiple products using lot streaming. In no‐wait open shop scheduling, sublot sizes are necessarily consistent; i.e., they remain the same over all machines. This intractable problem requires finding sublot sizes, a product sequence for each machine, and a machine sequence for each product. We develop a dynamic programming algorithm to generate all the dominant schedule profiles for each product that are required to formulate the open shop problem as a generalized traveling salesman problem. This problem is equivalent to a classical traveling salesman problem with a pseudopolynomial number of cities. We develop and test a computationally efficient heuristic for the open shop problem. Our results indicate that solutions can quickly be found for two machine open shops with up to 50 products. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005     

Transformation and Technology in the Fisher Era: the Impact of the Communications Revolution1

The Fisher naval revolution of 1904–10 represented a deliberate attempt to achieve defense transformation to bolster Britain's pretensions to global naval supremacy. The vision called for smaller, more capable forces to do the work of larger, more expensive conventional formations. It consisted of three main elements. First, the replacement of the traditional station fleet system for protecting overseas interests by rapid deployment forces comprised of battlecruisers that could be ‘maneuvered’ by wireless to combat specific enemy threats. Second, at home, instead of a sea control strategy based upon a superior battle-fleet, a sea denial strategy based on flotilla defense commanded and controlled from London via wireless. The third element of the Fisher revolution depended upon ‘plunging’, or shaping and directing technological change through a special relationship with armaments firms. A sophisticated information-communications network was integral to the revolution.     

“This program will not be a threat to them”: Ballistic Missile Defense and US relations with Russia and China

Although the Obama Administration has differed from its predecessor in a number of respects, on the specific issue of Ballistic Missile Defense (BMD), there is a striking continuity. The Obama Administration has remained committed to the BMD project, even as it has modified the schedule of deployments and prioritized different systems from the Bush Administration. Significantly, this has led to Chinese and Russian balancing in the nuclear sphere. As a result, there is evidence of a security dilemma-type dynamics in US relations with China and Russia. At present, there is no study that analyzes Russian and Chinese hard internal balancing against the USA in the sphere of missile defense during the Obama Administration. This article fills this gap.     

Some renewal theory results with application to fleet warranties

The fleet warranty guarantees the purchaser of a large population of like items that the mean life of the fleet will meet or exceed some negotiated mean μ_L. If the mean life is less than μ_L, compensation may be given in terms of a number of free replacement parts R. The expected number of replacements E[R] is studied based upon how the mean life of items in the field is determined and on whether the sampling window starts at time t = 0 (ordinary renewal process) or at some arbitrarily large time w (equilibrium renewal process). Properties of E[R] are compared and examples are given. © 1994 John Wiley & Sons, Inc.