Performance evaluation of a production/inventory system with periodic review and endogenous lead times

This paper considers a discrete time, single item production/inventory system with random period demands. Inventory levels are reviewed periodically and managed using a base‐stock policy. Replenishment orders are placed with the production system which is capacitated in the sense that there is a single server that sequentially processes the items one at a time with stochastic unit processing times. In this setting the variability in demand determines the arrival pattern of production orders at the queue, influencing supply lead times. In addition, the inventory behavior is impacted by the correlation between demand and lead times: a large demand size corresponds to a long lead time, depleting the inventory longer. The contribution of this paper is threefold. First, we present an exact procedure based on matrix‐analytic techniques for computing the replenishment lead time distribution given an arbitrary discrete demand distribution. Second, we numerically characterize the distribution of inventory levels, and various other performance measures such as fill rate, base‐stock levels and optimal safety stocks, taking the correlation between demand and lead times into account. Third, we develop an algorithm to fit the first two moments of the demand and service time distribution to a discrete phase‐type distribution with a minimal number of phases. This provides a practical tool to analyze the effect of demand variability, as measured by its coefficient of variation, on system performance. We also show that our model is more appropriate than some existing models of capacitated systems in discrete time. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

Making long-range planning work: the case of the US Army's 30-year strategic modernization plan

The extensive timespan of evolving assumptions about future adversaries, US military engagements, and technology inherent in the US Army's 30-year modernization strategy can overwhelm the management capacity of planners, and misdirect acquisition investments. Some military scholars have argued that long-range planning is futile due to the complexities of the global security environment. So how can the US Army manage the evolving assumptions inherent in its 30-year modernization strategy to ensure it remains a superior global force? This study will answer the above question by arguing that the US Army's 30-year modernization strategy, while emulative of a similar modernization approach in the threat-based planning environment of the Cold War, is viable if supported by a method and a tool that manage investments and planning assumptions.     

高超声速尖双锥流动高精度数值模拟

以25°/55°尖双锥外形的高超声速低焓层流流动模拟为例,对高阶加权紧致非线性格式模拟激波/边界层干扰流动的能力进行验证和确认。空间离散采用二阶MUSCL和三阶、五阶加权紧致非线性格式,时间离散采用二阶精度双时间步方法,通量函数采用混合Roe-Rusanov,AUSMPW+,Van Leer等,对比了不同精度空间离散格式对时间、网格收敛特性和通量函数耗散特性的影响。数值模拟结果表明采用高精度空间离散格式能在较疏的网格上获得收敛解,并能消除结果对通量函数的敏感性,但收敛需要推进更久的计算时间。数值模拟结果与实验测量结果吻合良好,满足工程精度要求。     

舵机负载模拟器惯量失配加载补偿方法

针对舵机负载力矩模拟器输出等效惯量大于被加载舵机舵面惯量的舵机加载试验情况,研究了其力矩加载补偿方法,分析了其力矩加载误差,提出了针对不同误差源的提高仿真精度的技术途径。分析结果表明,此力矩加载补偿方法现实可行,提高了试验资源的利用率,具有较好的经济效益和现实意义。     

对比较文学课程教学的思考和建议

比较文学的教学研究一直受到学界的关注,对教学内容和方法的看法并不统一。但是这些讨论主要是以研究生和重点高校的本科生为教学对象来进行的,往往忽视了占国内大多数的一般院校的教学研究。这些学校的学科起步较晚,遇到的问题和困难较多。本文立足于一般院校的中文系本科生,就比较文学的教学内容、教学重点和教学方法提出建议和想法。     

鲁棒稳定控制器的参数化设计方法

基于特征结构配置参数化方法,讨论了一类匹配的不确定线性系统的鲁棒控制问题,目的是设计鲁棒稳定控制器,使不确定闭环线性系统的特征值始终位于复平面的左半平面中某扇形区域内.给出了该鲁棒稳定控制器存在的充分条件及其参数化表示,可进一步利用其自由度满足某些设计要求.给出的数值例子,表明了鲁棒稳定控制器参数化设计方法的有效性.     

病态信息的控制方法

在总结近10年病态信息控制工作经验的基础上,介绍了病态信息控制方法发展的6个阶段,提出了病态信息控制方法体系的3个层次和3种应用类型,形成了预处待用制和病态决策制2种病态信息处理的基本方法.3个层次是指:面向国家与社会的社会道德与法律的控制方法、面向组织的政策与策略的控制方法、面向基层的管理与技术的控制方法.3种类型是指检测/监测、整理、诊断方法.     

公示语的社交语用失误及翻译对策

随着中外交流的日益频繁,双语公示语的作用日益突出。只有语用语言和社交语用都正确的双语公示语才能实现其应有的功能。本文主要分析双语公示语社交语用失误的成因及表现,并探讨公示语的翻译技巧。     

普通物理实验考核方法的探索和实践

结合实验教学的特点,探索并建立了一套行之有效的大学物理实验考核方法,在实践中取得了教好的效果。     

基于打击链的智能武器风险分析与控制方法研究

打击链是分析武器和系统等作战要素有效性的一种方法。针对当前智能武器概念缺乏一致定义的问题,本文提出了基于打击链作战方式的智能武器判定方法。针对智能武器认定困难引发的军控措施争论,分析了智能武器两方面的失控风险:人失去对自主武器的控制权与自主武器本身存在不可控因素和缺陷;以及智能武器的问责困境:如何在指挥者、编程者与智能武器之间分配责任。在此基础上,思考了智能武器在未来战争体系对抗中的使用模式,提出了智能武器的风险控制与军备控制方法方面的建议,包括"武器+AI"与"AI+武器"模式探讨、限制智能武器作用域、智能武器应内嵌物理限制系统、限制智能武器的训练数据以及国防采办过程控制等。