Addressing the “headwinds” faced by the European arms industry

ABSTRACT

The European arms industry is challenged by several adverse “headwinds.” Fragmentation leads to costly duplications and, in conjunction with stagnating budgets and sharply increasing costs, prevents firms from exploiting economies of scale and learning. This is exacerbated by size differentials vis-a-vis the leading US arms manufacturers and competition from emerging producers. As some “headwinds” are self-enforcing, far-reaching industrial and policy responses are required to improve the industry's outlook. As exports may not indefinitely compensate for low domestic demand, there is an economic imperative for further cross-border collaboration and consolidation. Despite various EU policy initiatives, progresses regarding the European Defence Equipment Market and strengthening the European Defence Technological Industrial Base have been relatively slow. It remains to be seen whether the European Defence Fund will be the proclaimed “game-changer,” raising competitiveness of the European arms industry. At the same time, the UK's withdrawal from the EU adds uncertainties.     

多源信息的Bayes融合精度鉴定方法

为了合理运用多种验前信息 ,文中首先引入了验前信息的可信度的概念 ,由此论述了验前信息与现场试验信息的融合方法 ,给出了多源信息下的Bayes精度鉴定方案。最后以实例说明鉴定方案的运用。     

浅谈武警部队财务信息化建设

结合笔者工作实践,对武警部队实施财务信息化管理的现状和问题进行了简要归纳和总结,并着重对武警部队如何顺利推进财务管理信息化提出了建议和意见。     

基于Petri网的防空群决策信息传输能力分析

决策信息传输能力的大小,直接决定着防空作战行动的作战效能,进而决定了防空作战的成败。针对防空群决策信息传输问题,用Petri网建模,从时效性和可靠性两个方面,对防空群的决策信息传输能力进行了分析,得到了不同指挥方式下的信息传输能力的度量。对防空群通信能力的分析和指挥体制的优化有一定的借鉴和指导意义。     

基于解析结构模型的网络空间信息防御能力分析

针对网络空间信息防御需求及特点,利用解析结构模型方法,分析网络空间信息防御能力的影响要素及其关系,建立网络空间信息防御能力影响要素的层次结构模型,并找出核心要素和关键环节,为网络空间信息防御能力建设提供决策支持。     

验前分布的稳健性

研究Bayes统计分析中运用验前信息的稳健性 ,给出了正态分布期望值验前分布和指数寿命型分布失效率验前分布的稳健性分析。所论方法对于飞行器系统试验的精度分析和可靠性评估 ,具有较普遍的意义     

海军舰载导弹防空系统信息作战方法

信息与火力是海军舰载导弹防空系统研究的核心问题,运用信息作战原理,在给定攻击战机的条件下,对舰载导弹防空系统的信息与火力联合作战能力的分析表明:与提高作战安全性的隐形战机相比,军事诱骗战术更易降低舰载导弹防空系统的火力防御能力.火力对作战能力的贡献约为信息的4倍.根据这一结论,可以为海军舰载导弹防空系统开发出基于信息作战原理的新战法,全面提高指战员在实战中把握信息与火力的运用规律、实施信息作战、做出科学决策和夺取战场胜利的能力.     

贝叶斯网络推理在信息系统安全风险评估中的应用

提出了一种基于贝叶斯网络推理的安全风险评估方法。从实际出发建立信息系统的贝叶斯网络模型,根据专家给出的先验信息,结合获得的证据信息,运用Pearl方法完成对模型的评估,给出在特定条件下模型的计算——线性推理算法。最后,以实例分析信息系统安全评估的实现过程,结果表明,该方法可行、有效。     

小子样条件下可靠性试验信息的融合方法

小子样条件下,不同状态的多源信息融合是可靠性工程领域的一个热门问题。综述了小子样条件下可靠性试验信息的融合方法。在一定的假设条件之下,利用分离可交换量模型对不同环境下的可靠性信息融合方法进行了研究,仿真算例说明这种融合方法充分利用了信息,评估结论更为合理。     

发动机传感器数据证实的贝叶斯信度网络方法

针对发动机及其部件试验传感器数据证实的多源证据融合问题,描述了建立贝叶斯信度网络的方法,给出了传感器状态和检验关系式不确定性信息表达方法,发展了自动建立贝叶斯信度网络、计算可信度概率及更新网络的算法;给出了贝叶斯信度网络方法在模型发动机上的应用示例。     

考虑验前信息可信度时的Bayes估计

研究了考虑验前信息可信度时的验前分布和Bayes估计算法,给出了正态总体参数的Bayes估计方法。以导弹落点散布的估计为例,说明了考虑验前信息可信度时Bayes估计有明显的改善,即具有更好的可信度。     

Stochastic production capacity: A bane or a boon for quick response supply chains?

The quick response (QR) system that can cope with demand volatility by shortening lead time has been well studied in the literature. Much of the existing literature assumes implicitly or explicitly that the manufacturers under QR can always meet the demand because the production capacity is always sufficient. However, when the order comes with a short lead time under QR, availability of the manufacturer's production capacity is not guaranteed. This motivates us to explore QR in supply chains with stochastic production capacity. Specifically, we study QR in a two-echelon supply chain with Bayesian demand information updating. We consider the situation where the manufacturer's production capacity under QR is uncertain. We first explore how stochastic production capacity affects supply chain decisions and QR implementation. We then incorporate the manufacturer's ability to expand capacity into the model. We explore how the manufacturer determines the optimal capacity expansion decision, and the value of such an ability to the supply chain and its agents. Finally, we extend the model to the two-stage two-ordering case and derive the optimal ordering policy by dynamic programming. We compare the single-ordering and two-ordering cases to generate additional managerial insights about how ordering flexibility affects QR when production capacity is stochastic. We also explore the transparent supply chain and find that our main results still hold.     

改进的前向信息修补算法及其应用

前向信息修补算法可以对离散动态贝叶斯网络的缺失数据进行预测,该算法只适用于所有观测节点是相互独立的网络,却不能处理观测节点有依赖关系网络的缺失数据。针对该算法的这一缺陷,提出了改进的前向信息修补算法,在分析离散动态贝叶斯网络的缺失数据具有二种基本形式的基础上,推导出了每种形式的相应预测公式。继而构建了用于识别威胁源离散动态贝叶斯网络的模型。仿真实验验证了改进的前向信息修补算法的有效性。     

Army reconstruction in the Democratic Republic of the Congo 2003–2009

Since the peace agreements of 2002–2003 which ended the second war in the Democratic Republic of Congo, reconstruction of the army has been an inherently political process, in common with other attempts to carry out security sector reform (SSR). This article briefly sketches out the Congolese army's history, then attempts to fill a gap in the literature on Congolese SSR by detailing what can be found of the actual structure and shape of the present army. The efforts that have been made to reform the army are then examined, followed by a conclusion which examines the major issues and possible ways forward.