Rose-tinted lenses: how American functionalist strategy inhibits our appreciation of complex conflicts

Strategists and military professionals have previously questioned many of the methodological (theoretical underpinnings, the principles, and rules applied by the discipline) decisions associated with American military strategy, but the direction this essay takes is above and beyond the common methodological rivalries in how we pursue strategic desired future states. To get beyond methodological disputes entirely, we must consider thinking about our thinking as an organization on American strategy. Thus, this article hovers between philosophies, organizational theory, as well as our usually unquestioned belief in something called “strategy”. Questioning things about our basic understanding of the world tends to trigger strong organizational defense mechanisms, for good reason. Critical reflection at deep levels puts our worldview, and our role within it at stake. Nonetheless, as strategic disappointment emerges over multiple complex conflict developments, even the most cherished and guarded choices on how the world ought to work are ripe for critical inquiry. This essay examines the limited single strategic paradigm of the US defense industry and how the latest American National Security Strategy and Army Future Operating Concept (Win in a Complex World through 2030) presents a flawed strategic position. This essay presents valid alternative strategies that operate within different paradigmatic constructs.     

网络空间联合反恐作战信息共享能力分析与评估?

在网络空间联合反恐作战信息共享能力构成框架的基础上,分析了信息共享能力生成的相关要素及其内部关系,并利用信息熵理论建立了信息共享的时效熵、质量熵、成本熵模型。通过对传统树形链状和新型网状循环两种信息共享模式进行仿真分析,为不断提高信息共享能力进行了有益探索。     

通用装备保障“可视化”系统分析与设计初探

以“可视化”理论与应用为技术指导 ,在分析研究通用装备保障“可视化”重要性的基础上 ,详细分析了装备保障可视化系统的内涵、层次划分和建设的基本思想 ,提出了实现装备保障“可视化”的原理框图和几种实现方式 ,从而构建了装备保障系统可视化研究的一种体系结构。     

小子样方法在电子对抗仿真试验中的应用

小子样问题是武器装备试验必须解决的客观问题,实现小子样试验是武器装备试验追求的最高境界.仿真试验作为武器装备试验的一种手段,以其可重复、大容量等不可比拟的优势,受到有关专家的高度重视.首先从武器装备试验实际需求出发,阐述了小子样问题在仿真试验中的意义及其实现途径,最后给出了正交设计法在某型雷达侦察机仿真试验中的应用实例.通过与常规试验方法相比,其提高试验效率6倍多,试验结果分析也更科学合理,军事经济效益明显.     

The selection allocation problem

The Selection Allocation Problem (SAP) is a single period decision problem which involves selecting profit‐maximizing (or cost‐minimizing) activities from various distinct groups, and determining the volume of those activities. The activities in each group are selected subject to the availability of that group's resource, which is provided by either pooling or blending raw inputs from several potential sources. Imbedded in the decision process is the additional task of determining how much raw input is to be allocated to each group to form the resource for that group. Instances of this problem can be found in many different areas, such as in tool selection for flexible manufacturing systems, facility location, and funding for social services. Our goal in this paper is to identify and exploit special structures in the (SAP) and use those structures to develop an efficient solution procedure. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 707–725, 1999     

Economic design of a two-stage control chart based on both performance and surrogate variables

The traditional approach to economic design of control charts is based on the assumption that a process is monitored using only a performance variable. If, however, the performance variable is costly to measure and a less expensive surrogate variable is available, the process may be more efficiently controlled by using both performance and surrogate variables. In this article we propose a model for economic design of a two-stage control chart which uses a highly correlated surrogate variable together with a performance variable. The process is assumed to be monitored by the surrogate variable until it signals out-of-control behavior, then by the performance variable until it signals out-of-control behavior or maintains in-control signals for a prespecified amount of time, and the two variables are used in alternating fashion. An algorithm based on the direct search method of Hooke and Jeeves [6] is used to find the optimum values of design parameters. The proposed model is applied to the end-closure welding process for nuclear fuel to compute the amount of reduction in cost compared with the current control procedure. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 958–977, 1999     

计及技术风险的复杂系统多分辨率风险评估方法

针对技术风险难以直接度量、模型参数设定主观性较强等问题,利用技术成熟度的规范化方法评估系统组成的技术实现条件和难度;通过矩阵化的系统描述及关联关系推理,建立各分系统技术成熟度与系统过程模型动态参数之间的量化关系;采用系统过程建模仿真的间接方法,计算进度或费用超出可承受范围的不确定性,用以评估复杂系统研制的技术风险。通过多分辨率建模方法提高系统分析粒度,使该方法具有随系统演化过程对技术风险评估保持更新和分析粒度提升的能力。     

作战设计——制胜未来之道

一流军队设计战争。作战设计是战争设计的内核。作战设计发端于科技革命和战略需求,形成于战争设计工程,实化为作战概念、作战构想、作战方案等,核心是作战体系设计和作战方式设计,基本遵循是战争制胜机理。作战设计是改变未来战争"游戏规则"的重要手段,是连接战略需求与作战能力的桥梁,是探求未来战争是什么样、未来作战怎么打、打赢战争需要什么能力的根本途径,成为开启全面建成世界一流军队的新引擎。     

联合作战筹划中的态势评估

联合作战筹划中的态势评估,是对预设战局有效性的评估,其目的是判断己方能否通过该作战态势取得预期战场优势,达成阶段作战目的。科学、合理的态势评估是构建联合作战筹划链路的重要一环,值得深入探索和研究。     

遗传算法在软硬件划分中的应用

软硬件划分是软硬协同设计中的一个关键问题。针对单处理器嵌入式系统 ,给出了基于遗传算法的解决方案 ,并引入了模拟退火和按概率选择两种技术。结果表明 ,算法有效地解决了软硬件划分问题 ,稳定性好、效率高 ,模拟退火和按概率选择的引入 ,进一步提高了算法效率 ,保证了算法的自适应性及结果的全局最优性。