基于保障时间窗的油料调拨运输模型

通过引入保障时间窗,同时考虑油料保障的时间约束和运力约束,建立了基于保障开始时间最早,并尽可能满足保障需求量的调度模型。针对问题的多目标性,基于理想点法将初始模型转化为单目标优化模型。采用粒子群算法对模型进行求解,并设计了算法编码和求解步骤。通过算例验证了模型和算法的可行性及有效性。     

气液同轴离心式喷嘴雾化特性实验研究

采用自行设计的两相喷雾实验设备和测量装置,通过ＭＦ激光散射测粒仪,对液氧液氢火箭发动机所用量气液同轴离心式喷嘴后方喷雾液滴的平均直径ＭＭＤ和液滴尺寸分布指数ｎ等雾化特性,进行了试验研究,测量了Ａ型喷嘴在不同气体和液体喷注压降、不同空间位置的喷雾特性。分析了气体喷注压降一定时液体喷注压降对雾化特性的影响规律,以及当液体喷注压降一定时气体喷注压降对雾化特性的影响规律,得出了一些有意义的结论。研完结果对气液同轴离心式喷嘴设计有一定的指导意义。     

基于聚-α烯烃油的锂基润滑脂流变性

为系统研究锂基润滑脂的流变性能,以12-羟基硬脂酸锂皂为稠化剂和聚-α烯烃(PAO)油为基础油制备了锂基润滑脂。考察了稠化剂含量、基础油黏度和温度对锂基润滑脂的触变性、储存模量、损耗模量、表观黏度和应变幅度等流变参数的影响,并对其影响机理进行了探讨。实验表明:锂基润滑脂是屈服性假塑性流体,在很小应变范围内以可恢复的弹性变形为主导,达到其屈服应力后,具有明显的剪切变稀现象;达到其流动点后,表现出黏性流体性质。     

重庆滨江空间的城市可识别性作用

在城市趋同发展的今天,营造城市特色空间以提高城市可识别性显得尤为重要。以重庆滨江空间为研究对象,通过文献查阅和实地调研归纳了重庆滨江空间的发展历程;分析了重庆滨江空间的特征,以及滨江空间对城市可识别性的重要作用;提出了重庆滨江空间多层次的生态环境丰富了城市公共生活,是辨析城市结构的重要场所,影响着城市发展进程中文脉传承的观点。     

保湿剂在装甲装备训练场防尘中的应用

介绍了保湿剂的防尘原理、效率和制法,阐述了保湿剂在构建绿色装甲装备训练场中的应用,对提高坦克成员的训练效果、延长装备的使用寿命和保护生态环境等均有重要意义.     

Designing acceptance sampling schemes for life testing with mixed censoring

Mixed censoring is useful extension of Type I and Type II censoring and combines some advantages of both types of censoring. This paper proposes a general Bayesian framework for designing a variable acceptance sampling scheme with mixed censoring. A general loss function which includes the sampling cost, the time‐consuming cost, the salvage value, and the decision loss is employed to determine the Bayes risk and the corresponding optimal sampling plan. An explicit expression of the Bayes risk is derived. The new model can easily be adapted to create life testing models for different distributions. Specifically, two commonly used distributions including the exponential distribution and the Weibull distribution are considered with a special decision loss function. We demonstrate that the proposed model is superior to models with Type I or Type II censoring. Numerical examples are reported to illustrate the effectiveness of the method proposed. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004     

Stein–Chen approximation and error bounds for order fill rates in assemble‐to‐order systems

Assemble‐to‐order (ATO) is an important operational strategy for manufacturing firms to achieve quick response to customer orders while keeping low finished good inventories. This strategy has been successfully used not only by manufacturers (e.g., Dell, IBM) but also by retailers (e.g., Amazon.com). The evaluation of order‐based performance is known to be an important but difficult task, and the existing literature has been mainly focused on stochastic comparison to obtain performance bounds. In this article, we develop an extremely simple Stein–Chen approximation as well as its error‐bound for order‐based fill rate for a multiproduct multicomponent ATO system with random leadtimes to replenish components. This approximation gives an expression for order‐based fill rate in terms of component‐based fill rates. The approximation has the property that the higher the component replenishment leadtime variability, the smaller the error bound. The result allows an operations manager to analyze the improvement in order‐based fill rates when the base‐stock level for any component changes. Numerical studies demonstrate that the approximation performs well, especially when the demand processes of different components are highly correlated; when the components have high base‐stock levels; or when the component replenishment leadtimes have high variability. © 2012 Wiley Periodicals, Inc. Naval Research Logistics, 2012     

舰艇对潜跟踪搜索仿真实验环境设计

以舰艇对潜跟踪搜索为仿真实验环境,围绕系统的设计与实现展开研究,分析了系统需求,人在回路的仿真设计,介绍了MVC体系结构原理,描述了系统功能,实现了舰艇对潜跟踪搜索仿真实验系统,最后进行了仿真实例分析.     

基于铽镝铁换能器的全保偏光纤磁场传感系统

制作了铽镝铁保偏光纤换能器,建立了全保偏马赫—曾德尔光纤干涉仪系统,采用工作点控制方法解调信号,实现了光纤磁场传感。该全保偏光纤干涉系统结构简单、抗干扰,有效解决了偏振不稳定问题。实验检测了系统对磁场幅度变化的响应特性,最小可测交流磁场信号为3×10-10T。     

Optimal control of a capacitated inventory system with multiple demand classes

This article studies the optimal control of a periodic‐review make‐to‐stock system with limited production capacity and multiple demand classes. In this system, a single product is produced to fulfill several classes of demands. The manager has to make the production and inventory allocation decisions. His objective is to minimize the expected total discounted cost. The production decision is made at the beginning of each period and determines the amount of products to be produced. The inventory allocation decision is made after receiving the random demands and determines the amount of demands to be satisfied. A modified base stock policy is shown to be optimal for production, and a multi‐level rationing policy is shown to be optimal for inventory allocation. Then a heuristic algorithm is proposed to approximate the optimal policy. The numerical studies show that the heuristic algorithm is very effective. © 2011 Wiley Periodicals, Inc. Naval Research Logistics 58: 43–58, 2011