Environmental regulation in project‐based industries

We study the environmental regulation of industrial activities that are organized as projects. Applications arise in construction, ship and aircraft building, and film making, among other industries. Relative to manufacturing, environmental regulation is different in project‐based industries, due to the uniqueness and geographical diversity of projects, and a lack of product takeback programs. Because the amount of waste and pollution generated by project companies can be large, regulators need environmental policies to ensure reduction of waste and pollution. We consider a regulator who attempts to maximize social welfare. We model this problem as a bilevel nonlinear program. The upper level regulator specifies waste reduction targets, which the lower level project companies meet using waste stream reduction and remediation of pollution, while attempting to control their project costs. We find that high waste diversion targets lead to outcomes with little pollution, but excessive project costs and only modest waste stream reduction. Projects that have lower task precedence density, or that have pollutants with different environmental impacts, show larger increases in project cost and time resulting from regulation. We describe a subsidy for waste stream reduction that coordinates the system, and we estimate the value of coordination. We also describe a bonus that encourages truthful reporting by project companies, and evaluate the relative cost and effectiveness of the subsidy and the bonus. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 228–247, 2015     

THE SUPPLY PRICE OF COMMITMENT: EVIDENCE FROM THE AIR FORCE ENLISTMENT BONUS PROGRAM

In fiscal year 1999, the US Air Force introduced a bonus program designed to encourage longer enlistment terms. This regime shift provides a unique opportunity to estimate the elasticity of labor supply at a new margin: the length of the employment contract. A $5000 bonus differential is estimated to increase the probability that a recruit will choose a 6‐year enlistment over a 4‐year enlistment by 30 percentage points. The program is found to be cost‐effective relative to other policies to increase man‐years.     

THE FUTURE OF BIOLOGICAL DISARMAMENT

The Sixth Review Conference of the Biological Weapons Convention (BWC) gave the future of biological disarmament new hope. It brought the BWC back closer to the core of multilateral efforts to combat the weaponization of disease, agreed to an intersessional work program for 2007–2010, created an implementation support unit, and revived the interrupted process of BWC evolution through extended understandings agreed at review conferences. However, its aims were deliberately modest. Having set their sights realistically low, delegations did not have to lower them much further. What was most important was to prevent U.S.-Iranian acrimony from paralyzing the conference. With deadlock once again narrowly averted, the conference had to clear away the debris left from past dissensions in order to open the way to constructive evolution for the treaty. In particular the conference avoided contentious subjects such as permanent organization and verification measures for the BWC; its institutional deficit and compliance problems remain. Successes and limitations of the conference are analyzed, as is its equivocal outcome on confidence-building measures. Developing on the endogenous principle, the BWC will continue to need constant attention. At the center of a complex edifice, the BWC must be kept sound, strong, and solid.     

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.     

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.     

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.     

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     

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.