极化域—空域联合谱估计

首次提出极化域-空域联合谱的概念,拓广了电磁波特征参量的谱描述方法.结合具体的极化敏感阵列定义了极化域-空域联合谱,用MUSIC方法得到联合谱函数表达式.研究了联合谱的估计的重要性能指标估计精度和分辨力,估计精度用克拉美劳限CRB(cramer-Rao Bound)来具体度量,分辨力由极化域-空域模糊函数以及模糊图来描述.最后仿真结果验证了该方法的有效性和理论分析的正确性.     

基于模态分析的挠性接头角刚度测量研究

挠性接头是动力调谐陀螺的关键元件,刚度是其重要指标。针对挠性接头角刚度的测量,提出了一种基于模态分析的动态角刚度测量方法。该方法采用阶跃激励,利用高精度传感器和数据采集卡测量挠性接头的振动并采集数据,然后对采集数据进行数字滤波、FFT变换和频谱细化,计算出挠性接头的动态角刚度,同时相应地求出了角阻尼比系数。该方法解决了长期以来采用静态测试法测量挠性接头角刚度所带来的问题,具有测量精度高、操作方便、测试效率高、重复性好等特点。     

Warehouse sizing to minimize inventory and storage costs

This paper considers a warehouse sizing problem whose objective is to minimize the total cost of ordering, holding, and warehousing of inventory. Unlike typical economic lot sizing models, the warehousing cost structure examined here is not the simple unit rate type, but rather a more realistic step function of the warehouse space to be acquired. In the cases when only one type of stock‐keeping unit (SKU) is warehoused, or when multiple SKUs are warehoused, but, with separable inventory costs, closed form solutions are obtained for the optimal warehouse size. For the case of multi‐SKUs with joint inventory replenishment cost, a heuristic with a provable performance bound of 94% is provided. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48: 299–312, 2001     

联合防空目标分配方案优化研究

目标分配是联合防空作战指挥决策的核心内容,是各级联合防空指挥中心的重要工作,其模型的合理性与可信性会对作战结局产生重大影响。为提高目标分配的合理性与可信性,对联合防空作战混合部署下的目标优化分配问题进行了详细分析,建立了相应的数学规划决策模型。为了有效获得问题的全局最优解,将改进遗传算法(GA)应用于数学规划决策模型的求解过程中,并给出了模型求解的方法和步骤,经实例应用,取得了满意的结果。     

一体化联合作战装备保障训练内容体系创新研究

从剖析一体化联合作战的基本特点及其装备保障需求入手,阐明了装备保障训练内容体系设计的理论依据和基本原则;结合部队装备保障训练实际,提出了一种基于任务需求、围绕保障活动、面向一体化过程的设计方法,并运用此方法,构建了装备保障训练内容体系结构模型及框架,以期为装备保障训练转型提供理论借鉴。     

一体化联合作战中信息流作用研究

以复杂系统理论为基础,从动力学角度出发,阐述了如何以信息流变化为依据、以相空间重构为手段,对作战系统状态转移轨迹进行反演计算,进而预测态势发展趋势的构想。同时针对一体化联合作战的“联合增效”作用,讨论信息流协调作用对一体化联合作战组织结构有序度的影响,建立了基于信息流协调度评价的一体化联合作战要素优化组合模型。     

Optimal pricing and inventory control policy in periodic‐review systems with fixed ordering cost and lost sales

This paper studies a periodic‐review pricing and inventory control problem for a retailer, which faces stochastic price‐sensitive demand, under quite general modeling assumptions. Any unsatisfied demand is lost, and any leftover inventory at the end of the finite selling horizon has a salvage value. The cost component for the retailer includes holding, shortage, and both variable and fixed ordering costs. The retailer's objective is to maximize its discounted expected profit over the selling horizon by dynamically deciding on the optimal pricing and replenishment policy for each period. We show that, under a mild assumption on the additive demand function, at the beginning of each period an (s,S) policy is optimal for replenishment, and the value of the optimal price depends on the inventory level after the replenishment decision has been done. Our numerical study also suggests that for a sufficiently long selling horizon, the optimal policy is almost stationary. Furthermore, the fixed ordering cost (K) plays a significant role in our modeling framework. Specifically, any increase in K results in lower s and higher S. On the other hand, the profit impact of dynamically changing the retail price, contrasted with a single fixed price throughout the selling horizon, also increases with K. We demonstrate that using the optimal policy values from a model with backordering of unmet demands as approximations in our model might result in significant profit penalty. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2006     

The stochastic joint replenishment problem: A new policy,analysis, and insights

In this study, we propose a new parsimonious policy for the stochastic joint replenishment problem in a single‐location, N‐item setting. The replenishment decisions are based on both group reorder point‐group order quantity and the time since the last decision epoch. We derive the expressions for the key operating characteristics of the inventory system for both unit and compound Poisson demands. In a comprehensive numerical study, we compare the performance of the proposed policy with that of existing ones over a standard test bed. Our numerical results indicate that the proposed policy dominates the existing ones in 100 of 139 instances with comparably significant savings for unit demands. With batch demands, the savings increase as the stochasticity of demand size gets larger. We also observe that it performs well in environments with low demand diversity across items. The inventory system herein also models a two‐echelon setting with a single item, multiple retailers, and cross docking at the upper echelon. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006     

机群超视距作战联合战术信息系统的效能分析

建立了机群联合战术信息系统在超视距作战中综合机群的传感器、导航和火力控制系统,组织对目标协同探测、辨识和火力控制的系统模型,以及它的效能评估模型.仿真计算表明此信息系统能有效增加机群超视距作战的效能,但噪声和欺骗干扰会显著地影响它的效率.     

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。