空防对抗武器装备对比优势评估模型

针对战役对抗准备和兵力部署的需要,根据兰切斯特动态方程,从作战能力入手,建立了空防对抗武器装备对比优势评估模型,提出了一种异类武器装备对比优势的定量计算方法。给出了应用该方法的具体步骤,通过算例分析,验证了模型的合理性,该模型对其他武器装备的对比优势评估具有一定的参考价值。     

基于任务冲击条件下弹药生产响应能力研究

在对弹药生产响应能力与生产速度关系分析的基础上,提出了基于任务冲击下,弹药生产响应能力的计算方法。对不同任务冲击度及生产速度约束条件下,弹药生产响应能力系数进行了对比,为任务冲击情况下弹药生产响应能力需求的确定提供参考。     

基于能力映射的体系网络化建模与分析

从体系所具有的能力出发,准确地描述体系中实体之间的关系,建立体系结构模型是体系设计与分析的基础,也是基于能力的体系规划的关键。首先提出了能力到组分系统的映射规则,然后将所构建的体系二分网络转化为组分系统的加权合作网络,有效描述了体系组分系统间的复杂关系。最后给出了体系组分系统关系价值度量指标,并对网络模型进行社团结构分析,为基于能力的体系规划作了有益尝试。     

航母编队雷达网抗干扰能力评估

以航母编队为平台的雷达网抗干扰能力为研究对象,建立了编队雷达网自卫距离、干扰压制比、抗干扰能力度量三个指标模型并根据实例进行能力评估和分析,提出了提高雷达网抗干扰能力的措施,为航母编队雷达网抗干扰能力的研究和作战使用提供理论参考。     

跟踪状态下雷达的隐身能力评价模型

为有效合理地评价雷达在战场上的隐身能力,采用功率、时域、空域及频域上的截获窗函数及其归一化结果,建立了完备的雷达隐身能力评价模型;针对组网雷达整体隐身能力,由单雷达隐身能力模型出发,提出了联合截获概率的评价模型。仿真结果表明,该单雷达模型可定量描述雷达隐身能力,依据此模型,可通过辐射控制,提高雷达隐身性能。对提高雷达生存能力领域的研究具有一定的参考价值。     

装备保障能力评估指标选择方法研究

针对当前装备保障能力评估指标选择方法存在主观性较大、评估精度低、评估结果一致性差等问题,提出了3种装备保障能力评估指标确定方法。依据面向能力的思路,通过对能力、性能与特性关系的分析提出了指标确定方法;基于本体论与文本挖掘技术,对装备保障能力相关文本的特征进行表示和提取,最后定义合适的文本挖掘泛化规则提炼出评估指标和权重;利用FP-Growth关联规则和模糊贝叶斯网络建立混合模型获取评估指标及权重,最后通过案例验证各方法的客观性、有效性和一致性。     

雷达对抗侦察装备作战能力的ANP幂指数评估方法

针对雷达对抗侦察装备综合作战能力对电磁环境的依赖性,提出一种基于网络层次分析法(Analytic Network Process,ANP)的雷达对抗侦察装备在不同电磁环境下作战能力的幂指数评估方法。通过对雷达对抗侦察装备作战任务及复杂电磁环境下的表现进行分析,确定装备作战能力指标;利用ANP分析各指标间的相互关系,计算出指标相对的权重;把该权重作为各指标的幂指数,计算雷达对抗侦察装备在不同电磁环境下的作战能力指数;最后结合某型装备多次不同环境下试验的数据,对该装备的综合作战能力进行评估。     

Terminal allocation problem in a transshipment hub considering bunker consumption

This article investigates the method of allocating arriving vessels to the terminals in transshipment hubs. The terminal allocation decision faced by a shipping alliance has the influence on the scheduled arrival time of vessels and further affects the bunker consumption cost for the vessels. A model is formulated to minimize the bunker consumption cost as well as the transportation cost of inter‐terminal transshipment flows/movements. The capacity limitation of the port resources such as quay cranes (QCs) and berths is taken into account. Besides the terminal allocation, the QC assignment decision is also incorporated in the proposed model. A local branching based method and a particle swarm optimization based method are developed to solve the model in large‐scale problem instances. Numerical experiments are also conducted to validate the effectiveness of the proposed model, which can save around 14% of the cost when compared with the “First Come First Served” decision rule. Moreover, the proposed solution methods not only solve the proposed model within a reasonable computation time, but also obtain near‐optimal results with about 0.1～0.7% relative gap. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 529–548, 2016     

多层次灰色评价法在后勤综合保障能力评估中的应用

对部队进行后勤综合保障能力评估是一项困难但十分重要的工作,利用多层次灰色评价法对后勤综合保障能力进行评估是一种比较科学的方法。评估时,先建立后勤保障能力评价指标体系,并用层次分析法确定各指标的权重。然后在样本矩阵的基础上确定评价灰类并计算灰色评价系数、权向量和权矩阵,从而对指标做出综合评价得到最终评价结果。最后,通过对该评价方法稍加改进,可以取得更加实用的评价结果。     

Optimal resource allocation and redistribution strategy in military conflicts with Lanchester square law attrition

We address the problem of optimal decision‐making in conflicts based on Lanchester square law attrition model where a defending force needs to be partitioned optimally, and allocated to two different attacking forces of differing strengths and capabilities. We consider a resource allocation scheme called the Time Zero Allocation with Redistribution (TZAR) strategy, where allocation is followed by redistribution of defending forces, on the occurrence of certain decisive events. Unlike previous work on Lanchester attrition model based tactical decision‐making, which propose time sequential tactics through an optimal control approach, the present article focuses on obtaining simpler resource allocation tactics based on a static optimization framework, and demonstrates that the results obtained are similar to those obtained by the more complex dynamic optimal control solution. Complete solution for this strategy is obtained for optimal partitioning of resources of the defending forces. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008