可组构的作战行动模型研究与实现

作战行动模型一直是训练模拟领域研究的重要内容,更是作战模型系统的核心和基础。针对当前作战行动模型建设中存在的一些突出问题,以及根据灵活动态地构建作战行动模型的仿真需求,将可组构性仿真思想引入到作战行动建模中。首先分析了作战行动可组构性建模的可行性,然后探讨了基于可重用元行动模型的作战行动模型组构方式,最后给出了可组构的作战行动模型具体实现方法及其应用实例。     

逐步Ⅱ型混合截尾下Pareto分布的统计分析

基于逐步Ⅱ型混合截尾寿命试验数据,研究了Pareto分布的统计分析问题。利用极大似然方法和Bayes估计理论,导出了Pareto分布参数的极大似然估计和基于不同先验分布下的Bayes估计。最后利用Monte-Carlo模拟方法对估计的结果进行了对比分析。     

稀布阵下宽带多波束组合印证测向算法

在稀布阵下,对信号强度不同的多个信号进行多波束测向时,由于波束主瓣较宽,副瓣较高,因而无法分辨信号到达方向。针对此问题,提出了一种新的多波束测向算法,即多波束组合印证测向算法。该方法充分利用高副瓣的特点,建立多波束学习训练匹配表,通过查表综合判定信号到达方向。仿真实验结果表明:该算法很好地解决了稀布阵下对同时到达阵元的多个信号测向问题,且算法简单,运算量小,测向精度较好,具有很好的工程应用价值。     

一种快速确定GPS整周模糊度的方法

GPS初始整周模糊度的求解是利用载波相位进行测量时的关键问题,采用了对系数矩阵进行QR分解的方法,用以降低矩阵的维数。模糊度搜索时,针对Z变换可能会引入多余误差,采用了对称三角分解法对协方差矩阵进行去相关处理。实验与仿真结果表明,定位误差在0.5 cm以内,方位角和仰角误差在0.1°以内。     

机载相控阵雷达搜索模式辐射能量控制方法

机载相控阵雷达过高的辐射能量威胁了战斗机的生存能力。为了减少相控阵雷达搜索模式辐射能量,提出了基于辐射能量控制的搜索模型。将总能量消耗函数和检测概率相对误差作为目标函数,以平均功率、波束宽度、积累脉冲数以及脉冲重复间隔作为优化变量,选取非支配遗传排序算法对此模型进行优化。仿真结果表明,在同样检测概率情况下,提出的搜索方法可以有效控制雷达辐射能量,具有更好的射频隐身性能。     

不同结构拦截弹的毁伤能力研究

在电磁发射器发射拦截弹撞击来袭目标的过程中,拦截弹的结构材料参数是影响拦截弹加速性能及毁伤能力的一个重要因素。在实验中常用的铝合金材料拦截弹基础上,提出铝-钢、铜-钢2种复合拦截弹结构,以拦截弹与钨合金杆式穿甲弹的碰撞过程为例,对3种拦截弹对来袭目标的毁伤能力进行对比分析。     

新疆伊犁地区汉族、维族、哈萨克族高中生成就动机的比较研究

目的:探讨新疆伊犁地区汉族、维族、哈萨克族高中生成就动机的现状。方法:采用《成就动机量表》(AMS)对791名三个民族的高中生进行了测量。结果:通过对三个民族高中生成就动机的比较研究,发现少数民族高中生的成就动机显著高于汉族学生。影响学生成就动机的因素主要有民族、父亲文化程度以及家庭所在地。     

国内关于少数民族学生自主学习研究述评——基于2005-2013年相关论文的统计与分析

文章梳理归纳了2005—2013年间国内在少数民族学生自主学习的研究成果。对收集到的68篇相关文献从研究概况、研究内容、研究方法、研究对象几个方面进行了分析,并依据主要的研究内容和方法将本领域研究大体分为两个阶段：起步阶段（2005-2008）和发展阶段（2009-2013）。通过分析发现目前仍存在数量较少、层次低、重复研究多、研究深度与广度不够等不足。     

Approximation algorithms for capacitated stochastic inventory systems with setup costs

We develop the first approximation algorithm with worst‐case performance guarantee for capacitated stochastic periodic‐review inventory systems with setup costs. The structure of the optimal control policy for such systems is extremely complicated, and indeed, only some partial characterization is available. Thus, finding provably near‐optimal control policies has been an open challenge. In this article, we construct computationally efficient approximate optimal policies for these systems whose demands can be nonstationary and/or correlated over time, and show that these policies have a worst‐case performance guarantee of 4. We demonstrate through extensive numerical studies that the policies empirically perform well, and they are significantly better than the theoretical worst‐case guarantees. We also extend the analyses and results to the case with batch ordering constraints, where the order size has to be an integer multiple of a base load. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 304–319, 2014     

The impact of operational decisions on the design of salesforce incentives

When facing high levels of overstock inventories, firms often push their salesforce to work harder than usual to attract more demand, and one way to achieve that is to offer attractive incentives. However, most research on the optimal design of salesforce incentives ignores this dependency and assumes that operational decisions of production/inventory management are separable from design of salesforce incentives. We investigate this dependency in the problem of joint salesforce incentive design and inventory/production control. We develop a dynamic Principal‐Agent model with both Moral Hazard and Adverse Selection in which the principal is strategic and risk‐neutral but the agent is myopic and risk‐averse. We find the optimal joint incentive design and inventory control strategy, and demonstrate the impact of operational decisions on the design of a compensation package. The optimal strategy is characterized by a menu of inventory‐dependent salesforce compensation contracts. We show that the optimal compensation package depends highly on the operational decisions; when inventory levels are high, (a) the firm offers a more attractive contract and (b) the contract is effective in inducing the salesforce to work harder than usual. In contrast, when inventory levels are low, the firm can offer a less attractive compensation package, but still expect the salesforce to work hard enough. In addition, we show that although the inventory/production management and the design of salesforce compensation package are highly correlated, information acquisition through contract design allows the firm to implement traditional inventory control policies: a market‐based state‐dependent policy (with a constant base‐stock level when the inventory is low) that makes use of the extracted market condition from the agent is optimal. This work appears to be the first article on operations that addresses the important interplay between inventory/production control and salesforce compensation decisions in a dynamic setting. Our findings shed light on the effective integration of these two significant aspects for the successful operation of a firm. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 320–340, 2014