Optimal pricing and scheduling control of product shipping

In this article, we seek to understand how a capacity‐constrained seller optimally prices and schedules product shipping to customers who are heterogeneous on willingness to pay (WTP) and willingness to wait (WTW). The capacity‐constrained seller does not observe each customer's WTP and WTW and knows only the aggregate distributions of WTP and WTW. The seller's problem is modeled as an M/M/N_s queueing model with multiclass customers and multidimensional information screening. We contribute to the literature by providing an optimal and efficient algorithm. Furthermore, we numerically find that customers with a larger waiting cost enjoys a higher scheduling priority, but customers with higher valuation do not necessarily get a higher scheduling priority. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 215–227, 2015     

一种10kA零磁通霍尔电流传感器的设计与仿真

采用线圈分段绕制的方法,设计了一种10kA量程的零磁通霍尔电流传感器以及相应的驱动电路,有效地将驱动电压降为±15V,并利用电磁场仿真验证了线圈分段设计的可行性。同时,提出了铁芯线圈以及霍尔元件的等效电路仿真方法,并以此为基础在Multisim中搭建了零磁通霍尔传感器系统的电路仿真模型,通过对各种电流波形进行仿真验证,证明了该设计的合理性。     

针对应急救援路径规划的一种改进蚁群算法

针对不返回起始点、多个待救援点的应急救援路径规划问题,提出了一种应急救援路径规划的改进蚁群算法,设计了一种新的路径构造方法,为蚁群算法求解该类问题打下了基础。为提高收敛性,改进了信息素更新规则,构造了一种与蚁群算法有效结合的局部搜索算法,提高了算法快速寻优的能力。仿真结果表明:改进蚁群算法能够快速找到一条从救援中心到多个待救援点的优化路径,且收敛速度和最短路径较同类算法更优。     

雷达目标高分辨距离像的特征提取及识别方法

本文首先应用ＴＬＳ－ＥＳＰＲＩＴ算法提取光学区高分辨雷达目标散射中心位置信息,并提出了“基于散射中心位置的相关匹配”目标识别算法,而后,证明了该算法相关匹配系数与所选择的基底无关以及算法的稳定性问题。最后,给出了五种飞机缩比模型的实验结果。     

滑阀副配磨参数微机控制测量系统的研究

本文论述了滑阀副配磨参数的测量原理,提出了微机控制的滑阀副配磨参数测量系统,介绍了系统的硬件与软件设计,给出了测量系统的实验结果,并对测量系统进行了误差分析,最后得出几点结论。     

能量传递在弹丸致伤效应中的研究

为了寻求一种量化的方法,更好地评估轻武器对肌体的致伤效能,根据肌体特性,以经典外弹道理论[1]和创伤弹道学理论[2]为依据,建立弹丸在肌体组织内的运动模型。利用脉冲X射线照相得到相关实验数据,运用Matlab软件对弹丸运动模型进行编程[3],计算出弹丸侵彻距枪口某距离处肌体靶标后,在肌体内的速度变化规律,从而计算出弹丸传递给人体能量的大小,再以此为依据快速评价出弹丸的致伤效能。     

步兵三角队形作战能力的评估

结合步兵战斗队形——三角队形的实际作战特点,考虑战斗中可能出现的具体情况,提出相关假设,并依据此假设分别建立了枪械的命中概率模型和命中有防护目标、无防护目标后的毁伤模型。具体地分析了敌我双方进行三次有效交火(存在死伤)后的队形变化情况,最终得出该步兵战斗队形的完成目标任务的概率,并以此概率值评估该三角队形的作战能力。     

Evaluating the potential effects from probabilistic selling of similar products

In this article, we consider an online retailer who sells two similar products (A and B) over a finite selling period. Any stock left at the end of the period has no value (like clothes going out of fashion at the end of a season). Aside from selling the products at regular prices, he may offer an additional option that sells a probabilistic good, “A or B,” at a discounted price. Whenever a customer buys a probabilistic good, he needs to assign one of the products for the fulfillment. Considering the choice behavior of potential customers, we model the problem using continuous‐time, discrete‐state, finite‐horizon dynamic programming. We study the optimal admission decisions and devise two scenarios, whose value functions can be used as benchmarks to evaluate the demand induction effect and demand dilution effect of probabilistic selling (PS). We further investigate an extension of the base MDP (Markov Decision Process) model in which the fulfillment of probabilistic sales is uncontrollable by the retailer. A special case of the extended model can be used as a benchmark to quantify the potential inventory pooling effect of PS. Finally, numerical experiments are conducted to evaluate the overall profit improvement, and the effects from adopting the PS strategy. © 2014 Wiley Periodicals, Inc. Naval Research Logistics, 61: 604–620, 2014     

大气对流层气体组分随高度变化的理论预期

利用大气对流层温度随高度变化的规律,采用局部平衡的多分子混合模型,从理论上论证了对流层气体组分随高度变化的规律,发现大气各主要成分体积分数、分子平均摩尔质量均随高度线性变化,并拟合数值计算结果得到了相关参数。氧气的相对体积分数随高度明显下降,而氮气的相对体积分数却明显上升;但是相比于温度随高度的变化,大气分子平均摩尔质量的改变可以忽略。该理论比以往其他模型预测大气压强随高度变化规律具有更自然、更接近实际的优势。     

[AXB,GXH]=[C,D]对称最小二乘解及最佳逼近的极小残差法

构造迭代算法研究了矩阵方程[AXB,GXH] = [C,D] ,证明了该算法可经有限步得到方程的对称最小二乘解及其最佳逼近,并给出了相关性质.最后,通过数值例子表明该算法是有效的.