Optimal outbound dispatch policies: Modeling inventory and cargo capacity

In this paper, we present an optimization model for coordinating inventory and transportation decisions at an outbound distribution warehouse that serves a group of customers located in a given market area. For the practical problems which motivated this paper, the warehouse is operated by a third party logistics provider. However, the models developed here may be applicable in a more general context where outbound distribution is managed by another supply chain member, e.g., a manufacturer. We consider the case where the aggregate demand of the market area is constant and known per period (e.g., per day). Under an immediate delivery policy, an outbound shipment is released each time a demand is realized (e.g., on a daily basis). On the other hand, if these shipments are consolidated over time, then larger (hence more economical) outbound freight quantities can be dispatched. In this case, the physical inventory requirements at the third party warehouse (TPW) are determined by the consolidated freight quantities. Thus, stock replenishment and outbound shipment release policies should be coordinated. By optimizing inventory and freight consolidation decisions simultaneously, we compute the parameters of an integrated inventory/outbound transportation policy. These parameters determine: (i) how often to dispatch a truck so that transportation scale economies are realized and timely delivery requirements are met, and (ii) how often, and in what quantities, the stock should be replenished at the TPW. We prove that the optimal shipment release timing policy is nonstationary, and we present algorithms for computing the policy parameters for both the uncapacitated and finite cargo capacity problems. The model presented in this study is considerably different from the existing inventory/transportation models in the literature. The classical inventory literature assumes that demands should be satisfied as they arrive so that outbound shipment costs are sunk costs, or else these costs are covered by the customer. Hence, the classical literature does not model outbound transportation costs. However, if a freight consolidation policy is in place then the outbound transportation costs can no longer be ignored in optimization. Relying on this observation, this paper models outbound transportation costs, freight consolidation decisions, and cargo capacity constraints explicitly. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 531–556, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/nav.10030     

着眼装备信息化的长远发展积极科学的建设好装备基础数据库

信息化战争是信息化武器装备发展到成熟时期、新军事变革发展到高级阶段、社会变革跨入信息时代的最新战争模式。信息化战争离不开信息化的装备，装备信息化的建设也离不开装备管理的信息化，装备管理信息化的水平对装备信息化本身的发展会起到很重要的促进作用，装备基础数据库则是装备管理信息化的基础。本文将重点分析装备基础数据库建设的现状，阐述科学建设装备基础数据库的好处，并提出对建设通用装备基础数据库的几点思考。     

信息时代作战体系的概念模型及其描述

提出了信息化战场作战体系的概念与定义，给出了作战体系的描述，把信息化战场作战体系的组成划分为三类基本元素和六种关系，这些关系包括任务序列关系、任务分配关系、作战单元间的协作关系、作战单元间的指挥控制关系、任务信息流和体系的信息网络拓扑，并给出了这些关系的描述途径与方法。信息化战场作战体系的描述为作战体系自同步构建与重组的实现奠定了基础。     

Technical note: Finite-time regret analysis of Kiefer-Wolfowitz stochastic approximation algorithm and nonparametric multi-product dynamic pricing with unknown demand

We consider the problem of nonparametric multi-product dynamic pricing with unknown demand and show that the problem may be formulated as an online model-free stochastic program, which can be solved by the classical Kiefer-Wolfowitz stochastic approximation (KWSA) algorithm. We prove that the expected cumulative regret of the KWSA algorithm is bounded above by where κ₁, κ₂ are positive constants and T is the number of periods for any T = 1, 2, … . Therefore, the regret of the KWSA algorithm grows in the order of , which achieves the lower bounds known for parametric dynamic pricing problems and shows that the nonparametric problems are not necessarily more difficult to solve than the parametric ones. Numerical experiments further demonstrate the effectiveness and efficiency of our proposed KW pricing policy by comparing with some pricing policies in the literature.     

基于云模型的航空装备维修保障能力评估

针对航空装备维修保障能力评估问题,在把握航空装备维修特点和系统分析影响因素的基础上,构建了以信息化优势为主导的航空装备维修保障能力评估指标体系;提出一种基于AHP的改进熵值法确定各级指标权重,有效融合了主客观信息;引入云模型原理,将不确定性因素转化为定量化数字特征,开展基于云模型的航空装备维修保障能力评估。实例表明,该评估方法能够科学、准确地评估航空装备维修保障能力,具有可行性和有效性。     

1943年秋日军发动鲁西细菌战述评

1943年8月下旬至10月下旬，在整个世界反法西斯战争节节胜利的大背景下，日本华北方面军第12军在以馆陶、临清为中心的鲁西、冀南地区实施了大规模的霍乱细菌战，以较小的代价给中国抗日军民造成重大杀伤。此次细菌战同以往日军进行的历次细菌战相比，有其发生的特殊原因，具备许多鲜明的特点，对日军以后的细菌战决策产生了重大影响。     

抛物线用作雷达阵地地面有效反射区曲线

讨论了传统的米波雷达地面有效反射区和粗糙地面的选择条件,提出采用抛物线作为地面反射区曲线,并给出曲线公式,各反射点的反射波在主要方向同相叠加增加了探测距离,进一步挖掘了米波雷达的威力潜力;合理选择反射区曲线的长度,可减少近地物反射的杂波,提高低空目标的探测能力。     

LFM脉冲雷达距离维快速搜索处理算法

针对脉冲雷达近距离目标遮挡问题,从理论上分析了雷达最小作用距离不受限于脉冲宽度.在此基础上,以Chirp脉冲为例,提出了一种适合远近距离全程目标的快速搜索处理算法.该算法只需发射一种宽脉冲波形,而不必根据距离的变化改变脉宽,从而有效缩短了搜索时间,大大提高了搜索效率.仿真结果表明了理论分析的正确性和算法的有效性.     

一类三角结构非线性系统状态参考反演变结构控制

针对一类三角结构非匹配不确定性非线性系统,结合参考状态、反演设计和变结构控制方法,研究了其在非匹配不确定性和未知干扰下的跟踪控制问题,提出了状态参考反演变结构控制策略,设计的状态参考反演变结构控制器实现鲁棒输出跟踪,闭环系统在有限时间进入滑动模态.仿真算例证实了理论研究成果的正确性和可行性.     

基于模糊二叉树支持向量机的空袭目标属性识别

针对现有空袭目标属性识别方法存在的不足,提出了一种基于模糊二叉树支持向量机的空袭目标属性识别技术。该方法充分发挥了模糊二叉树支持向量机解决二类分类问题的优势,有效地提高了识别率和识别速度。最后给出了与现有识别方法的比较结果,证明了该方法的有效性。