基于复杂性理论的网络化防空作战组织模型研究

从网络中心行动发展而来的网络化防空作战组织具有空前的复杂性,如何构建反映网络化防空复杂特性的组织模型成为作战研究的基础性问题.在分析传统防空作战树形网络的基础上,运用系统复杂性理论,构造了网络化防空作战组织模型,并通过对模型参量的分析,说明了网络化防空作战组织的耗散性、非线性、鲁棒性等自组织性特性.对信息化条件下网络化防空作战组织的构建有一定的参考价值.     

非均匀复合材料中裂纹扩展过程的数值模拟

应用有限单元法和最大正应力准则,引入楔形界面过渡层模型,求解相应的特征函数,准确地确定界面裂纹第一步开裂角,模拟了裂纹在非均匀复合材料中的扩展过程。结果表明:裂纹扩展初期呈波浪式前进,并最终沿着与最大正应力垂直的方向前进。这对此类结构的防断控制具有指导意义。     

美国突发事件应急处置系统探析

自9·11事件之后,美国便在全国范围内采取措施以提高突发事件的预防、应急准备、响应、复原和缓解能力。制定并执行美国紧急事件应急处置系统。介绍该系统的主要组成,以便为我国应急处置建设提供借鉴。     

适用于行星巡视探测的集中式载荷控制方法

以行星巡视探测任务为背景,针对资源紧张条件下自主控制载荷进行科学探测的需求,提出一种集中式载荷控制方法。建立新型的载荷电子学和载荷数管集成一体化硬件架构;软件采用基于事件表和工作模式表的控制方式自主控制载荷工作;采取多项健康管理措施,依据预设的规则监控载荷的状态,自主对故障载荷采取恢复和隔离措施。实现的公用控制部分仅重3 kg,功耗6 W,软件支持9个工作模式表同时运行,指令执行时刻误差优于40 ms。该方法应用到我国首次火星探测任务中,地面测试结果表明其简捷、高效、可靠,适合在资源苛刻的行星巡视探测任务中,对各载荷进行控制。     

适应低时延业务需求的分布式可穿戴单兵作战信息系统

针对云计算应用在单兵作战系统场景下业务处理时延高、服务质量无法保障的问题,提出一种基于可穿戴计算的分布式单兵作战信息系统。利用士兵身上的可穿戴智能设备构建本地计算层,在作战地点就近处理计算数据,提供给士兵本地的信息处理与融合能力,并采用广义扩散负载均衡算法平衡各设备负载,降低业务处理时延;同时利用分布式计算的容错能力增强系统的可靠性。仿真结果表明,基于可穿戴设备的分布式本地网络架构能有效地降低作战任务的处理时延,同时增强系统的可靠性。     

少数民族双语教师汉语言能力提高与学历层次提升的培训策略研究

研究和分析民族教师学习汉语的一些动力因素,正确引导他们学习汉语的动机,有利于激发这一群体学习的内部动力,进而提高民族教师的整体素质,为新疆少民族地区教育的发展奠定基础。     

Coping with shortages caused by disruptive events in automobile supply chains

Unpredictable disruptive events significantly increase the difficulty of the management of automobile supply chains. In this paper, we propose an automobile production planning problem with component chips substitution in a finite planning horizon. The shortage of one chip can be compensated by another chip of the same type with a higher-end feature at an additional cost. Therefore, the automobile manufacturer can divert the on-hand inventory of chips to product lines that are more profitable in the event of shortages caused by supply chain disruptions. To cope with this, we propose a max-min robust optimization model that captures the uncertain supplies of chips. We show that the robust model has a mixed-integer programming equivalence that can be solved by a commercial IP solver directly. We compare the max-min robust model with the corresponding deterministic and two-stage stochastic models for the same problem through extensive numerical experiments. The computational results show that the max-min robust model outperforms the other two models in terms of the average and worst-case profits.     

Operations sequencing for a multi‐stage production inventory system

This article studies operations sequencing for a multi‐stage production inventory system with lead times under predictable (deterministic) yield losses and random demand. We consider various cases with either full or partial release of work‐in‐process inventories, for either pre‐operation or post‐operation cost structures, and under either the total discounted or average cost criteria. We derive necessary and sufficient criteria for the optimal sequence of operations in all cases. While the criteria differ in their specific forms, they all lead to the same principal: those operations with (1) lower yields, (2) lower processing costs, (3) longer lead times, and (4) lower inventory holding costs should be placed higher upstream in the system.Copyright © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 144–154, 2014