维修费用合理值计算的基本方法

阐述了武器装备维修费用合理值的计算与评估方法 ,包括平均维修费用、一次性维修费用、实际维修费用等方面     

相似分布特性准则下的高斯混合项聚类-合并算法

针对高斯混合模型估计非高斯系统时高斯混合项呈指数级增长问题，提出一种基于相似分布特性准则的聚类-合并方法。通过分析高斯混合项的分布特性，基于扩展积分均方误差代价函数搜索最优置信范围，并对混合项进行高斯聚类，进而获得具有不同分布特性的高斯簇。为防止高斯簇间对高斯子项的重复利用，引入局部最近邻思想对交叉高斯项进行重新分配。采用并行多元素合并方法对高斯簇中的混合项进行合并，在保证无偏性基础上减少下一时刻混合项数量。仿真结果表明，改进算法在保证跟踪精度的同时还可有效提高算法效率。     

成本分担定价方式的装备采购博弈研究

承包商的努力程度直接决定了装备的制造成本。为有效激励承包商降低装备制造成本，提高装备采购效益，基于里昂惕夫劳资博弈模型建立了成本分担定价方式的装备采购博弈模型。并在承包商边际效用非线性和定价方式多变量的假设基础上，分别对价格、成本、承包商努力程度和承包商效用之间的关系进行了研究，对原模型进行了拓展，为定价方式中参数的确定提供了量化方法。     

The Persistent Deficit of Militia Officers in the Swiss Armed Forces: An Opportunity Cost Explanation

The Swiss Armed Forces are suffering from a structural deficit of militia officers despite good pay and a general supportive attitude in the population. Whereas, prior studies have focused on motivation to explain understaffing in armed forces, we offer an alternative approach based on opportunity cost. We model decision alternatives both within and outside a military organization, taking private sector employment as the reference point. We then monetize opportunity costs of leisure, fringe benefits, and private sector income not compensated. Our results suggest that in terms of opportunity cost, service as a militia officer is the least attractive option, an effect that we believe explains the persistent staff deficit. Implications of these findings for the literature and recruitment policy are discussed.     

不完全维修策略的产品保修期研究

以保修期内的保修费用和可用度2个目标作为优化决策依据,权衡厂家和顾客的利益及需求,建立基于改善因子的不完全预防性维修模型,并通过实例确定厂家和顾客共同达到最大满意度的最佳维修间隔期及保修期,验证了模型的实用性。     

大型消防装备采购模式及全寿命期费用控制问题探析

大型消防装备采购模式存在的一些问题,影响了大型消防装备全寿命期的经费使用效益,导致大型消防装备的购置费用高而效率低,装备闲置和利用率不高,装备全寿命期费用控制效果较差,必须建立大型消防装备全寿命费用管理体系,提高大型消防装备投资的效率。     

大规模无线传感器网络中面向ANY型查询的能量高效数据分发算法

在事件数据的push和pull之间实现更好的平衡是无线传感器网络数据分发算法节能的关键.分析了两种典型的有结构和无结构的数据分发算法,结合这两种算法使用的push pull策略,针对无线传感器网络的ANY型查询的特定需求,提出了两种基于有结构和无结构存储模式相结合的混合型数据分发算法SDC1&2.分析表明,这两种算法在保证push pull之间平衡的前提下解决了已有算法存在的热点问题、存储拷贝数多和查询性能低问题,能更好地适应ANY型查询的特点,是两种能量高效的数据分发算法.     

GM(1,1)模型预测火炮研制费用的应用

随着科学技术的发展,寿命周期费用日益受到重视,尤其是寿命周期费用中研制阶段的费用对寿命周期费用起到决定作用.利用GM(1,1)灰色理论对自行火炮寿命周期费用中的研制费用进行分析,建立了基于GM(1,1)灰色理论的自行火炮研制费用分析通用时间序列模型,并以某自行火炮研制费用为实例,利用SPSS统计软件对文中建立的灰色预测模型进行了分析计算.其计算和检测的结果表明模型可靠、精度较高,为自行火炮研制费用分析提供新的理论分析方法.     

Competition under time‐varying demands and dynamic lot sizing costs

We develop a competitive pricing model which combines the complexity of time‐varying demand and cost functions and that of scale economies arising from dynamic lot sizing costs. Each firm can replenish inventory in each of the T periods into which the planning horizon is partitioned. Fixed as well as variable procurement costs are incurred for each procurement order, along with inventory carrying costs. Each firm adopts, at the beginning of the planning horizon, a (single) price to be employed throughout the horizon. On the basis of each period's system of demand equations, these prices determine a time series of demands for each firm, which needs to service them with an optimal corresponding dynamic lot sizing plan. We establish the existence of a price equilibrium and associated optimal dynamic lotsizing plans, under mild conditions. We also design efficient procedures to compute the equilibrium prices and dynamic lotsizing plans.© 2008 Wiley Periodicals, Inc. Naval Research Logistics 2009     

What you should know about approximate dynamic programming

Approximate dynamic programming (ADP) is a broad umbrella for a modeling and algorithmic strategy for solving problems that are sometimes large and complex, and are usually (but not always) stochastic. It is most often presented as a method for overcoming the classic curse of dimensionality that is well‐known to plague the use of Bellman's equation. For many problems, there are actually up to three curses of dimensionality. But the richer message of approximate dynamic programming is learning what to learn, and how to learn it, to make better decisions over time. This article provides a brief review of approximate dynamic programming, without intending to be a complete tutorial. Instead, our goal is to provide a broader perspective of ADP and how it should be approached from the perspective of different problem classes. © 2009 Wiley Periodicals, Inc. Naval Research Logistics 2009