The selection allocation problem

The Selection Allocation Problem (SAP) is a single period decision problem which involves selecting profit‐maximizing (or cost‐minimizing) activities from various distinct groups, and determining the volume of those activities. The activities in each group are selected subject to the availability of that group's resource, which is provided by either pooling or blending raw inputs from several potential sources. Imbedded in the decision process is the additional task of determining how much raw input is to be allocated to each group to form the resource for that group. Instances of this problem can be found in many different areas, such as in tool selection for flexible manufacturing systems, facility location, and funding for social services. Our goal in this paper is to identify and exploit special structures in the (SAP) and use those structures to develop an efficient solution procedure. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 707–725, 1999     

基于输出饱和条件下磁浮列车悬浮控制参数优化

低速磁浮列车利用电磁吸力支撑车体,相比轮轨列车具有噪音小、转弯半径小、爬坡能力强等优点。研究控制器输出饱和条件下悬浮系统的稳定性问题,可以避免由于电网电压约束而可能出现的失稳现象,提高了系统运行的可靠性。基于磁浮列车单点悬浮模型,使用电流-位置双环设计方法设计得到可稳定悬浮的控制算法。由于磁浮列车悬浮控制器的输出饱和环节,进一步提出了一种基于搜索极大椭球的控制参数优化方法,在不改变控制算法设计的前提下实现了参数优化。通过仿真和试验均验证了优化后的控制效果,有效指导了实际系统的工程调试。     

A critical look at the U.S. deceased‐donor organ procurement and utilization system

The U.S. system for procuring and utilizing deceased‐donor organs for transplantation has been studied and written about in many articles. The purpose of this paper is to examine the interactions between the elements that comprise this system, and point out improvement opportunities that may be affected through operations research/management techniques. The authors demonstrate the need for developing data‐driven and analytic tools. In fact, data is used to generate hypotheses and support claims throughout the paper. The paper also points out the need to fully leverage data that is available to researchers, and to seek data that is currently not deposited in a centralized archive.     

舰载武器系统研制方案多目标生成与评价方法

舰载武器系统研制方案的生成、评价与优选问题是武器装备研制论证中的重要内容.在分析目前舰载武器系统研制方案论证方法的基础上,构建了舰载武器系统多目标优化模型,提出了舰载武器系统研制方案的多目标生成方法,并建立了不完全偏好信息的舰载武器系统研制方案的多目标评价与优选模型.实例分析说明,该模型与方法是有效的,可为武器装备研制论证问题提供辅助决策方法和智力支持.     

基于ADC模型的反舰导弹火力运用效能评估分析

针对反舰导弹的火力运用的特点,运用基于ADC模型的作战效能评估方法,分析了传统的作战能力概算模型的内涵,完善了“平台生存概率”、“航空兵拦截概率”和“导弹抗干扰能力”三项评估要素,得到了新的评估要素表达式,该表达式比较客观地反映了战场的实际情况,较好地满足了反舰导弹火力运用效能评估的需求。     

CR-39中子探测效率的模拟研究

利用蒙特卡罗（MC）方法计算了CR-39探测器对中子的探测效率,并与文献结果进行比较,得出了一致的结论;同时以^252Cf自发裂变源为模拟中子源,通过MCNP程序计算,得出了中子探测效率随CR-39探测器厚度变化的曲线。     

银行办公自动化系统(BOAS)相对效率的技术经济评价

通过比较银行人工操作系统（ＢＭＷＳ）与银行办公自动化系统（ＢＯＡＳ）,建立了ＢＯＡＳ的投入指标量化模型以及产出指标量化模型。将产出指标集合分解为了系统服务强度、系统工作潜力、系统准确度和系统可靠性四个分指标。并给出了ＢＯＡＳ相对效率技术经济综合评价模型。     

最优火力分配的改进方法——递推法

针对均匀分布法确定最优火力分配的不足,给出当某维出现虚数即该维最优火力分布不存在时,对其它维火力分配再优化并达最优的递推法。同时建立了均匀分布法计算ｎ维目标射击效率及其最优火力分配的一般数学模型     

某型平显可靠性增长目标可行性论证研究

旨在通过对某型平显可靠性增长目标可行性论证实践,提出以增长曲线趋势来评估研制和小批生产之中产品各阶段可能达到的可靠性水平的预测方法     

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