Production‐inventory systems with imperfect advance demand information and updating

We consider a supplier with finite production capacity and stochastic production times. Customers provide advance demand information (ADI) to the supplier by announcing orders ahead of their due dates. However, this information is not perfect, and customers may request an order be fulfilled prior to or later than the expected due date. Customers update the status of their orders, but the time between consecutive updates is random. We formulate the production‐control problem as a continuous‐time Markov decision process and prove there is an optimal state‐dependent base‐stock policy, where the base‐stock levels depend upon the numbers of orders at various stages of update. In addition, we derive results on the sensitivity of the state‐dependent base‐stock levels to the number of orders in each stage of update. In a numerical study, we examine the benefit of ADI, and find that it is most valuable to the supplier when the time between updates is moderate. We also consider the impact of holding and backorder costs, numbers of updates, and the fraction of customers that provide ADI. In addition, we find that while ADI is always beneficial to the supplier, this may not be the case for the customers who provide the ADI. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

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     

从《孙子兵法》管理思想看密切官兵关系的重要性

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武器系统概率指标的贝叶斯决策评定方法

剖析了武器系统试验工程领域中常用二项分布经典假设检验方法存在的问题,从贝叶斯决策思想和理论出发提出了概率指标评定的新方法,通过实例对比证明了贝叶斯决策评定方法有效解决了二项分布经典假设检验方法中存在的问题。     

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首先,按照网络中心战的概念,研究舰艇编队网络化反导作战系统的体系结构,以传统作战单元的功能系统为基本单元(作战节点),建立了传感器网、指控网和武器网三层逻辑网结构,定义各层的基本组成和主要功能,并在认真分析传统指挥体制和指挥方式不足的基础上,提出了“动态网络型”指挥结构和“动态分权式”指挥方式;然后,深入分析了舰艇编队网络化反导作战过程,定义了舰艇编队网络化作战模式下4种新的作战方式;最后,指出了系统实现的关键技术,阐明了各关键技术下一步的研究方向及重点.     

重型装备回收系统气囊缓冲特性研究

将气囊缓冲过程分解为绝热压缩和排气释能2个过程,从热力学和运动学方程出发,建立考虑降落伞阻力影响的缓冲气囊的解析分析模型。基于该模型,对立式气囊的缓冲特性进行研究。结果表明：降落伞阻力对缓冲性能有微小影响,在计算中可以忽略。在理论分析的基础上给出了系统质量与气囊初始体积比的最优值,探讨了排气口固定型与可控型气囊的缓冲特性及其应用优劣。     

海上对空弹目偏差精度试验的设计分析与应用

对空射击的弹目偏差测量需求十分迫切,利用空间声传感器阵测量弹目偏差向量,提取所需N波的时间宽度和各N波出现的时间,计算处理得到炮手坐标系的弹目偏差。由于采用测偏结果,使得系统射击时直接命中目标。具有测偏校射功能的新型观测设备,对舰炮武器系统和跟踪雷达、光电跟踪仪定型试验是必不可少的测量设备。脱靶向量是定量分析计算舰炮武器系统最重要的性能——射击效力,即命中概率和毁伤概率的依据。虽多次试验结果很好,但仍需要大量试验数据信息进一步验证完善。     

业主延期条件下FIDIC施工合同条件调价公式研究

调价公式作为FIDIC合同中最重要的风险分配方式之一,通过对可调价要素价格指数或价格的调整,把合同中的隐性风险在业主和承包商之间的分配比例作了明确规定.从承包商的角度,并基于业主的原因造成工期延长的条件下,对调价公式中各个组成因子及其权重对调价结果的影响进行了研究,探索把调价公式同成本管理有机结合起来,以期达到降低成本...     

地空导弹兵混编群作战仿真研究

应用离散事件动态系统仿真的基本理论,建立了地空导弹兵混编群作战过程仿真模型,并用Arena仿真平台实现了仿真。通过仿真实例,分析了不同空袭目标流密度和空袭目标采取低空突防时对目标突防概率的影响。仿真结果表明,在该实例中,增大空袭目标流密度对目标突防概率没有显著的影响,而采取低空突防对目标突防概率影响显著。最后,对仿真结果进行了分析,证明了仿真模型的有效性。     

基于CEC的舰空导弹协同制导仿真研究

针对组建基于CEC的舰空导弹协同制导仿真系统,研究了基于CEC的舰空导弹协同制导仿真的CEC结构、信息流程,分析了CEC协同制导模块的协同管理、协同控制和交接导引功能需求,设计了仿真系统的内部逻辑结构和各构成模块。最后,仿真实现了该系统,对协同制导技术进行了验证。仿真结果表明,基于CEC的协同制导技术是可行的。