Constructing a strict total order for alternatives characterized by multiple criteria: An extension

The problem of finding a strict total order for a finite set of multiple criteria alternatives is considered. Our research extends previous work by us, which considered finding a partial order for a finite set of alternatives. We merge the preference information extracted from the preference cones and corresponding polyhedral sets, with the information derived from pairwise comparisons of two alternatives, yielding a preference matrix. This preference matrix is used as input to an integer programming model to obtain a strict total order that provides a transitive ranking for the set of alternatives. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 155–163, 2014     

THE PEACE DIVIDEND EFFECT OF TURKISH CONVERGENCE TO THE EU: A MULTI‐REGION DYNAMIC CGE MODEL ANALYSIS FOR GREECE AND TURKEY

This paper examines the peace dividend effect of Turkish convergence to EU membership. By employing a multi‐region dynamic CGE model, we examine the prospect for conflict resolution if Turkey becomes an EU member. The model allows us to analyse several scenarios that imply varying amounts of reduction of the military expenditure/GDP ratios. On the one hand, this change will cause a decrease in sectoral demand for military expenditures, while on the other hand, reallocation of the reduced expenditure on (i) education, (ii) tax decrease, and (iii) infrastructure, should have a huge growth impact. Our dynamic CGE simulation experiments emphasize the economic gain for all parties involved.     

Asymmetric effects of military expenditure between Turkey and Greece

One of the major topics of the defense economics literature regarding Turkey and Greece has been the empirical modeling of various aspects of arms racing. However, despite a considerable amount of research, little evidence has been found in favor of an arms race between the two countries. In the literature, this failure of applied studies has been attributed, among other reasons, to the sensitivity of the results to the underlying model specification, to small sample size, and to measurement issues. This study uses novel, nonlinear, models to investigate the possible relationship between the military expenditures of the two countries. It is assumed that if there are two regimes characterizing the low (or negative) and high-growth military expenditure periods, the growth rates of one country's military expenditure may have distinct effects on the military expenditure regimes of the other country or may contribute to the change from one regime to another. The nonlinear models examined are Smooth Transition Regression models (STRs). Strong evidence of nonlinearity for Greece is found, with asymmetry relating to two distinct regimes through lagged Turkish military expenditure changes.     

Automated integration of real-time and non-real-time defense systems

Various application domains require the integration of distributed real-time or near-real-time systems with non-real-time systems.Smart cities,smart homes,ambient intelligent systems,or network-centric defense systems are among these application domains.Data Distribution Service(DDS)is a communi-cation mechanism based on Data-Centric Publish-Subscribe(DCPS)model.It is used for distributed systems with real-time operational constraints.Java Message Service(JMS)is a messaging standard for enterprise systems using Service Oriented Architecture(SOA)for non-real-time operations.JMS allows Java programs to exchange messages in a loosely coupled fashion.JMS also supports sending and receiving messages using a messaging queue and a publish-subscribe interface.In this article,we pro-pose an architecture enabling the automated integration of distributed real-time and non-real-time systems.We test our proposed architecture using a distributed Command,Control,Communications,Computers,and Intelligence(C4I)system.The system has DDS-based real-time Combat Management System components deployed to naval warships,and SOA-based non-real-time Command and Control components used at headquarters.The proposed solution enables the exchange of data between these two systems efficiently.We compare the proposed solution with a similar study.Our solution is superior in terms of automation support,ease of implementation,scalability,and performance.     

A branch and bound algorithm for sector allocation of a naval task group

A naval task group (TG) is a collection of naval combatants and auxiliaries that are grouped together for the accomplishment of one or more missions. Ships forming a TG are located in predefined sectors. We define determination of ship sector locations to provide a robust air defense formation as the sector allocation problem (SAP). A robust formation is one that is very effective against a variety of attack scenarios but not necessarily the most effective against any scenario. We propose a 0‐1 integer linear programming formulation for SAP. The model takes the size and the direction of threat into account as well as the defensive weapons of the naval TG. We develop tight lower and upper bounds by incorporating some valid inequalities and use a branch and bound algorithm to exactly solve SAP. We report computational results that demonstrate the effectiveness of the proposed solution approach. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

What determines military allocations in Africa: Theoretical and empirical investigations

This paper investigates theoretically and empirically the determinants of military spending in Africa. It specifies a formal model and uses time‐series and cross‐sectional estimations to ascertain the reasons behind variations in military allocations across and within 40 African countries during 1960–1991. The differences in military expenditures appear to reflect a complex of economic, political, and strategic factors at both national and international levels. Strategic considerations are, however, found to be the most important factors in most African countries.     

Dissolution of an Empire: Insights from the İstanbul Bourse and the Ottoman War Bond

During the transformation period of the Ottoman Empire leading to the Republic of Turkey, many conflicts took place between 1918 and 1923. These conflicts interrupted the servicing of the Ottoman war bond. The reimbursement likelihood of this bond was related to the outcomes of First World War and the hostilities. This paper analyses the impacts of First World War and hostilities on the risk assessments regarding the Ottoman war debt, using manually collected data on the price of the Ottoman war bond traded at the ?stanbul bourse between 1918 and 1925. The empirical results imply that the defeat of the Bulgarian army and the peace offer of Austria-Hungary were associated with the increasing premium demanded by investors of the bond. The victories of the Turkish National Movement and the peace offer of the Allies to end the hostilities by 1922 positively affected the likelihood of the servicing of the debt.     

Bicriteria multiresource generalized assignment problem

In this study, we consider a bicriteria multiresource generalized assignment problem. Our criteria are the total assignment load and maximum assignment load over all agents. We aim to generate all nondominated objective vectors and the corresponding efficient solutions. We propose several lower and upper bounds and use them in our optimization and heuristic algorithms. The computational results have shown the satisfactory behaviors of our approaches. © 2014 Wiley Periodicals, Inc. Naval Research Logistics, 61: 621–636, 2014     

CRISIS RESPONSE CAPABILITY

As the leading economic and political power in the region, South Africa cannot afford to neglect its responsibility toward its regional neighbours. If South Africa does not accept the role, an outside power may step in to fill the vacuum. The creation of peace, security and stability will not be created without action and it will not be maintained by goodwill. Developing a crisis response force is clearly required of South Africa. The force should be able to work co-operatively or autonomously in a range of missions n land and on rivers and lakes. Air-and sea-landed operations and air-support for ground operations should also be planned for. The SANDF does not have this ability at the moment but it should modify its structure and equipment to perform this important role in the region.     

Multi‐item capacitated lot‐sizing problems with setup times and pricing decisions

We study a multi‐item capacitated lot‐sizing problem with setup times and pricing (CLSTP) over a finite and discrete planning horizon. In this class of problems, the demand for each independent item in each time period is affected by pricing decisions. The corresponding demands are then satisfied through production in a single capacitated facility or from inventory, and the goal is to set prices and determine a production plan that maximizes total profit. In contrast with many traditional lot‐sizing problems with fixed demands, we cannot, without loss of generality, restrict ourselves to instances without initial inventories, which greatly complicates the analysis of the CLSTP. We develop two alternative Dantzig–Wolfe decomposition formulations of the problem, and propose to solve their relaxations using column generation and the overall problem using branch‐and‐price. The associated pricing problem is studied under both dynamic and static pricing strategies. Through a computational study, we analyze both the efficacy of our algorithms and the benefits of allowing item prices to vary over time. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2010