Estimating negative binomial demand for retail inventory management with unobservable lost sales

The importance of effective inventory management has greatly increased for many major retailers because of more intense competition. Retail inventory management methods often use assumptions and demand distributions that were developed for application areas other than retailing. For example, it is often assumed that unmet demand is backordered and that demand is Poisson or normally distributed. In retailing, unmet demand is often lost and unobserved. Using sales data from a major retailing chain, our analysis found that the negative binomial fit significantly better than the Poisson or the normal distribution. A parameter estimation methodology that compensates for unobserved lost sales is developed for the negative binomial distribution. The method's effectiveness is demonstrated by comparing parameter estimates from the complete data set to estimates obtained by artificially truncating the data to simulate lost sales. © 1996 John Wiley & Sons, Inc.     

Multiperiod allocation of limited resources: A minimax approach

We consider a multiperiod model in which limited resources are allocated among competing activities in each period. The objective is to minimize the maximum weighted deviation of the cumulative activity levels from the cumulative demands among all activities at all periods. All resources are assumed to be storable; that is, surpluses at one period can be used later on. This model is useful, for example, in multiperiod production planning for high-technology industries that assemble a large variety of circuit boards using numerous electronic components. The model is formulated with a minimax objective. We develop an efficient algorithm that can solve large-scale problems very quickly. At each iteration, the algorithm makes use of the solution to a relaxed problem to identify activities that should be permanently set to zero, as well as groups of activities that should have the same value.     

Parallel machine replacement

We consider the parallel replacement problem in which there are both fixed and variable costs associated with replacing machines. Increasing maintenance costs motivate replacements, and the fixed replacement cost provides incentive for replacing machines of different ages together in “clusters.” We prove two intuitive results for this problem. First, it is never optimal to split a cluster of like-aged machines, and second, it is never optimal to replace newer clusters before older clusters. By incorporating these two results into an algorithmic approach, we vastly reduce the amount of computation required to identify an optimal replacement policy.     

基于关联离散度的目标类型识别方法

针对空中作战空中目标识别问题,在分析影响目标类别因素的基础上,提出了一种基于关联离散度的空中目标灰色识别方法。该方法采用灰色理论,通过应用定义的关联离散度作为识别测度,因而在无需对现役雷达作太多技术改进的情况下,就可以提高低分辨雷达对空中目标粗略分类的自动判别能力。给出了应用该方法的具体步骤,通过仿真实例证明该算法的有效性。     

基于STAGE平台的模型扩展方法

STAGE(Scenario Toolkit And Generation Environment)是用于开发想定战场环境和武器系统验证的仿真软件。用户可根据需求利用自己开发的仿真模型取代STAGE的内置仿真模型,也可以将开发的仿真模型与STAGE中现有模型进行集成。针对STAGE 6.0仿真开发平台,研究了STAGE模型扩展中的关键技术,实现了用户开发模型与STAGE仿真引擎的集成,从而为快速构建用户自定义战场环境提供了一种新途径。     

磨合预处理对有机钼添加剂摩擦学性能的影响

采用MMW-1万能摩擦磨损试验机,考察了磨合预处理工况(时间、载荷)对两种有机钼添加剂在CF-4 15W-40柴油机油中抗磨减摩性能的影响。采用扫描电子显微镜和能谱仪分析了磨斑表面形貌和表面元素组成。结果表明,适当的磨合预处理可有效增强有机钼添加剂在柴油机油中的抗磨减摩性能,且经过磨合预处理的磨斑表面形貌较没有处理时平整,添加剂主要功能元素在摩擦表面的质量分数增加。     

一种基于串联谐振型变换器的激光电源设计

激光器电源是激光器装置的重要组成部分,其泵浦方式分为光激励、放电激励、能量激励等,均必须配有相适应的供电电源。基于脉冲式固体激光器中负载是气体放电器件的激光电源,设计了一种带有预燃放电功能的半桥LCC串联谐振逆变电路,可实现每次点灯不必使用高压触发脉冲,避免触发高压的电磁辐射干扰。使得当灯处于低阻状态时,电容器上的能量能更有效地转换成光能。整体电源设计结构简单,可靠性高,可满足激光器对电源稳态工作的要求,在应用预燃电路后,激光输出能量可提高10%。     

四轮全向移动机器人的双闭环速度控制系统设计

设计了四轮全向移动机器人的传感器信息采集硬件电路,并通过分析四轮全向移动机器人的运动学模型,提出了基于TI公司最新研发的TMS320F28069为主控制器的直流电机双闭环速度控制方案.试验结果表明:所提控制方案能够满足四轮全向移动机器人速度控制的要求,且响应速度快、误差小.     

双模圆锥喇叭单孔战损补片修复方法研究

由于馈源损伤对雷达对抗装备天线性能影响严重,且其修复效果决定天线性能恢复程度,因此,需要研究出较为有效的馈源修复方法.基于高频电磁场分析方法,针对雷达对抗装备馈源单孔损伤模式,运用现有战场抢修手段,通过FEKO软件模拟修复及仿真分析,探讨研究馈源单孔损伤补片修复方法.通过大量的模拟修复以及仿真分析,总结出馈源单孔损伤战场补片修复的一般原则.