Power-Sharing in Civil War: Puzzles of Peacemaking and Peacebuilding

Syria's slide into sectarian civil war in 2011 raises a new fundamental knowledge question about the conditions under which power-sharing pacts can be clinched as an approach to war termination. When intrastate conflicts escalate into violent sectarian struggles, power-sharing is a likely basis of an eventual political settlement in situations where partition is off the table. This article contends that there remain two puzzling knowledge gaps about power-sharing as the basis for peace agreements to end civil wars: first, the specific conditions under which elites find it in their own interest to share power with bitter adversaries rather than fight on the battlefield, and second, how war-ending elite-negotiated pacts may evolve into more enduring social contracts. These puzzles, critical for policymakers and still unresolved in the scholarly literature, suggest the need to develop more contingent- and context-specific knowledge if research findings are to more capably contribute to peacemaking efforts.     

Dual‐ascent and primal heuristics for production‐assembly‐distribution system design

This article proposes two dual‐ascent algorithms and uses each in combination with a primal drop heuristic embedded within a branch and bound framework to solve the uncapacitated production assembly distribution system (i.e., supply chain) design problem, which is formulated as a mixed integer program. Computational results indicate that one approach, which combines primal drop and dual‐ascent heuristics, can solve instances within reasonable time and prescribes solutions with gaps between the primal and dual solution values that are less than 0.15%, an efficacy suiting it for actual large‐scale applications. © 2012 Wiley Periodicals, Inc. Naval Research Logistics, 2013     

Demand forecasting by temporal aggregation

Demand forecasting performance is subject to the uncertainty underlying the time series an organization is dealing with. There are many approaches that may be used to reduce uncertainty and thus to improve forecasting performance. One intuitively appealing such approach is to aggregate demand in lower‐frequency “time buckets.” The approach under concern is termed to as temporal aggregation, and in this article, we investigate its impact on forecasting performance. We assume that the nonaggregated demand follows either a moving average process of order one or a first‐order autoregressive process and a single exponential smoothing (SES) procedure is used to forecast demand. These demand processes are often encountered in practice and SES is one of the standard estimators used in industry. Theoretical mean‐squared error expressions are derived for the aggregated and nonaggregated demand to contrast the relevant forecasting performances. The theoretical analysis is supported by an extensive numerical investigation and experimentation with an empirical dataset. The results indicate that performance improvements achieved through the aggregation approach are a function of the aggregation level, the smoothing constant, and the process parameters. Valuable insights are offered to practitioners and the article closes with an agenda for further research in this area. © 2013 Wiley Periodicals, Inc. Naval Research Logistics 60: 479–498, 2013     

Comparison between constant‐stress and step‐stress accelerated life tests under Time Constraint

By running life tests at higher stress levels than normal operating conditions, accelerated life testing (ALT) quickly yields information on the lifetime distribution of a test unit. The lifetime at the design stress is then estimated through extrapolation using a regression model. In constant‐stress testing, a unit is tested at a fixed stress level until failure or the termination time point of test, whereas step‐stress testing allows the experimenter to gradually increase the stress levels at some prefixed time points during the test. In this work, the optimal k‐level constant‐stress and step‐stress ALTs are compared for the exponential failure data under complete sampling and Type‐I censoring. The objective is to quantify the advantage of using the step‐stress testing relative to the constant‐stress one. Assuming a log‐linear life–stress relationship with the cumulative exposure model for the effect of changing stress in step‐stress testing, the optimal design points are determined under C/D/A‐optimality criteria. The efficiency of step‐stress testing to constant‐stress one is then discussed in terms of the ratio of optimal objective functions based on the information matrix. © 2013 Wiley Periodicals, Inc. Naval Research Logistics 00: 000–000, 2013     

From the Editors

Israel's policy of military reprisals has never seemed to follow any consistent pattern of tit‐for‐tat. On the one hand, not every violent incident was answered with a counterattack. On the other hand, when Israel responded, frequently it employed an excessive amount of force, which was disproportional to the Arab provocation. This behavior has not been the consequence of a premeditated and rational strategy. Instead, it appears to have been the result of a political dispute between alternative approaches regarding the use of military force. The following research analyzes the development of this controversy and how these differences of opinion were resolved.     

Proliferation Optimism and Pessimism Revisited

Policies to counter the threat of weapons of mass destruction (WMD) have, for the most part, been modeled on strategies originally devised to counter the danger of nuclear proliferation. While useful in countering a traditional CBN (chemical/biological/nuclear)/WMD threat, current counter-proliferation and non-proliferation regimes are insufficient to meet the challenge of maritime terrorism. Maritime terrorism represents a new category of threat; one that partially overlaps with conventional WMD, but for which – due to the scope and nature of the maritime industry – traditional counter-proliferation policies may be inadequate and even inappropriate. This article outlines the means by which maritime shipping can be used as WMD and discusses the policies implemented to deal with these threats, in light of the challenges presented to traditional conceptualizations of WMD and counter-proliferation strategies.     

How Probable is Cyber War? Bringing IR Theory Back In to the Cyber Conflict Debate

Many well-established explanations for war suggest that cyber weapons have a greater chance of being used offensively than other kinds of military technologies. This response article introduces a research agenda for the study of cyber war, and offers an example – principal-agent problems in cyber operations – to demonstrate how rigorous theoretical and empirical work may proceed.