装备寿命周期备件供应网络优化方法

针对现有备件供应优化方法未从寿命周期角度考虑备件供应优化问题,将寿命周期不同阶段的备件需求特征融入备件供应网络设计中,实施动态需求特征下的寿命周期整体优化。深入分析寿命周期不同阶段的备件需求特征;建立备件供应响应时间转移方程,在此基础上,构建使寿命周期备件保障效益最大的多目标混合整数规划模型。通过仿真案例证明了多种备件保障模式的组合能够显著提高寿命周期保障效益,寿命周期整体优化可以实施更高效的备件供应。     

稳定特征选择的多目标蚁群优化

为了提高进化算法特征选择稳定性,提出一种面向稳定特征选择的多目标蚁群优化方法。通过抽样策略集成三种特征排序法的输出作为多目标蚁群优化的稳定性指导信息,聚合特征的费舍尔分值和最大信息系数值作为多目标蚁群优化的启发式信息,以分类正确率和扩展昆彻瓦指标值作为两个优化目标,兼顾算法的分类性能与特征选择稳定性。在四个标准数据集上进行对比实验,结果表明,所提方法能够在分类性能与稳定性方面达到较好的平衡。     

装备备件管理技术综述

备件管理水平的高低直接影响着装备保障能力的发挥和使用保障费用的维持,备件管理现已成为世界范围内的研究热点。通过对国内外有关备件管理文献的分析,总结了备件管理在备件分类方法、需求预测与确定、库存控制与优化3个方面的研究现状。分析结果表明：备件管理将向多因素综合考虑的备件分类方法,基于备件需求不确定性的预测技术以及基于计算机辅助技术、物流和供应链管理等方向发展。     

装甲装备使用可用度与维修保障费用的优化模型

维修保障费用是影响装甲装备使用可用度的重要因素之一。要在有限的保障经费下实现高可用度要求,就必须建立装甲装备的使用可用度与维修保障费用的优化模型。根据装甲装备实际维修特点,在分析装甲装备预防性维修过程中故障类型多样的基础上,构建了装甲装备在给定维修周期内的使用可用度模型和维修保障费用模型,进而建立了使用可用度与维修保障费用的优化模型,提出了模型的解法和模型的改进建议。     

解读教育技术的职业道德规范

教育技术2004新定义明确指出,教育技术是教育过程中符合一定伦理规范的促进学习的行为实践,并提出了25条具体的教育技术道德规范,认为所有参与教育技术的人员和组织都必须遵守这些道德规范才能使组织和个人保持较高的行业水准和取得较好的绩效。重视和引入教育技术规范,必将对推进我国教育领域乃至全社会各行各业职业道德建设起到积极的促进作用。     

灰色局势决策理论在炮兵火力计划优选中的运用

为了解决炮兵火力计划选择的随意性和盲目性,提出了以灰色理论为基础,综合考虑炮兵火力计划的性质和拟制原则的优选方法;深入研究了局势决策在计划优选中的应用;最后举例说明了灰色局势决策理论在计划优选中的应用,进一步证明了其科学性和创新性,为优选决策提供了一种定量和定性相结合的新方法。     

A novel modeling approach for express package carrier planning

Express package carrier networks have large numbers of heavily‐interconnected and tightly‐constrained resources, making the planning process difficult. A decision made in one area of the network can impact virtually any other area as well. Mathematical programming therefore seems like a logical approach to solving such problems, taking into account all of these interactions. The tight time windows and nonlinear cost functions of these systems, however, often make traditional approaches such as multicommodity flow formulations intractable. This is due to both the large number of constraints and the weakness of the linear programming (LP) relaxations arising in these formulations. To overcome these obstacles, we propose a model in which variables represent combinations of loads and their corresponding routings, rather than assigning individual loads to individual arcs in the network. In doing so, we incorporate much of the problem complexity implicitly within the variable definition, rather than explicitly within the constraints. This approach enables us to linearize the cost structure, strengthen the LP relaxation of the formulation, and drastically reduce the number of constraints. In addition, it greatly facilitates the inclusion of other stages of the (typically decomposed) planning process. We show how the use of templates, in place of traditional delayed column generation, allows us to identify promising candidate variables, ensuring high‐quality solutions in reasonable run times while also enabling the inclusion of additional operational considerations that would be difficult if not impossible to capture in a traditional approach. Computational results are presented using data from a major international package carrier. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

Optimal sensor placement for underwater threat detection

The optimization framework for optimal sensor placement for underwater threat detection has been developed. It considers single‐period and multiperiod detection models, each of which includes two components: detection algorithm and optimization problem for sensor placement. The detection algorithms for single‐period and multiperiod models are based on likelihood ratio and sequential testing, respectively. For the both models, the optimization problems use the principle of superadditive coverage, which is closely related to energy‐based and information‐based approaches. An algorithm for quasi‐regular sensor placement approximating solutions to the optimization problems has been developed based on corresponding continuous relaxations and a criterion for its applicability has been obtained. Numerical experiments have demonstrated that the algorithm consistently outperforms existing optimization techniques for optimal sensor placement.© 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

常规导弹战前运输任务优化模型

制定常规导弹战前运输计划时,各车辆运输时间和运输路线的安排是一个组合优化问题.运用军事运筹学和不确定性优化理论,充分考虑节点冲突性、车辆隐蔽性、任务时间、道路容量等因素,建立了运输任务方案的优化模型.该研究为常规导弹波次作战计划的制定和优化提供模型支持,有助于提高常规导弹作战指挥自动化和部队的生存能力.