Dynamic pricing and inventory control with learning

Optimal operating policies and corresponding managerial insight are developed for the decision problem of coordinating supply and demand when (i) both supply and demand can be influenced by the decision maker and (ii) learning is pursued. In particular, we determine optimal stocking and pricing policies over time when a given market parameter of the demand process, though fixed, initially is unknown. Because of the initially unknown market parameter, the decision maker begins the problem horizon with a subjective probability distribution associated with demand. Learning occurs as the firm monitors the market's response to its decisions and then updates its characterization of the demand function. Of primary interest is the effect of censored data since a firm's observations often are restricted to sales. We find that the first‐period optimal selling price increases with the length of the problem horizon. However, for a given problem horizon, prices can rise or fall over time, depending on how the scale parameter influences demand. Further results include the characterization of the optimal stocking quantity decision and a computationally viable algorithm. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 303–325, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/nav.10013     

Inventory control under substitutable demand: A stochastic game application

Substitutable product inventory problem is analyzed using the concepts of stochastic game theory. It is assumed that there are two substitutable products that are sold by different retailers and the demand for each product is random. Game theoretic nature of this problem is the result of substitution between products. Since retailers compete for the substitutable demand, ordering decision of each retailer depends on the ordering decision of the other retailer. Under the discounted payoff criterion, this problem is formulated as a two‐person nonzero‐sum stochastic game. In the case of linear ordering cost, it is shown that there exists a Nash equilibrium characterized by a pair of stationary base stock strategies for the infinite horizon problem. This is the unique Nash equilibrium within the class of stationary base stock strategies. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 359–375, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/nav.10018     

恒速航行原理的数学证明与分析

提出并证明了船舶经济航行的基本原理———恒速航行原理 .先将实际船舶航行中最经济航行的航速选择这个一般性问题抽象成纯数学问题 :在规定的时间内从A地航行到B地 ,如何选择航速以使推进系统总耗功最省 ;然后在数学上证明恒速航行原理 ,即恒速航行是船舶经济航行唯一的选择 ;最后 ,将该原理推广到其它交通手段 ,如车辆行驶和飞机飞行     

NDIS技术在网络监测中的实现

阐述了利用NDIS进行网络包的监测和分析的基本原理,在此基础上实现了对网络适配器在数据链路层网络包的监测,并通过数据报文结构的分析,再现了应用层协议的实现过程.     

一种发送速率精确可控的分布式网络流量生成方法

介绍了一种灵活高效的分布式网络流量生成方法;通过加入权重因子,利用反馈机制不断对产生的网络流量进行调整直至流量大小误差符合用户设定需求;结合ON／OFF模型,采用分布式结构产生了流量速率可调节的具有自相似特性的网络流量。通过该方法产生的网络流量大小精确可控,且具有自相似性,能更好地反映出真实网络流量的特性。     

坦克嵌入式车场射击训练炮长操纵控制模型

在嵌入式射击模拟训练系统中,针对炮长操作过程对模拟训练的影响,建立了炮长操纵控制模型。炮长操纵控制模型包括炮长操纵模型和炮长射击决策模型。炮长操纵模型的建立是基于装备的物理模型和人的生理反应模型。炮长射击决策模型根据坦克射击教范要求,采用与/或正向演绎推理得到。在炮长操纵控制模型基础上,建立了射击反应时间模型,并与实际装备操作进行了比较,对建立的操纵控制模型进行了验证。     

时域基音同步叠加(TD-PSOLA)算法研究

针对TD-PSOLA算法的合成语音容易出现相位不连续的问题,提出了一种改进的平移综合方法。仿真结果显示,改进的算法能够提高合成语音的质量。     

GPS/GLONASS集成接收机定位精度分析

GPS/GLONASS集成接收机的一般技术指标都标注为7m(50%),16m(95%)。但实际的应用过程中我们却发现事实往往并非如此,定位精度一般都在20多米。为什么呢?本文试图从几个方面对这一现象进行分析。     

军用多波段数字接收机研究

本文结合软件无线电设计思想 ,研究了一种HF/VHF数字接收机 ;并从系统的角度 ,分析了各关键部件的设计 ,特别是SSB(单边带 )波形和FM (调频 )波形的数字化解调。最后给出了系统实现的硬件平台。