设备重要维修项目视情工作的间隔时间确定

首先提出了视情工作间隔时间的确定方法,然后根据故障率的不同情况,分析了间隔时间的相应变化,最后进行了实际应用方面的讨论．     

热得快火灾危险性分析及火因鉴别方法的研究

本文以热得快火灾模拟试验为基础,结合其结构特点和实际火灾案例,分析了热得快火灾的形成原因,着重对如何鉴别热得快火灾残留物进行研究,归纳总结出根据热得快火灾残留物进行火灾原因鉴别的判定依据,建立了热得快火灾原因的鉴别方法,并提出了热得快火灾的预防措施。     

K故障诊断在坦克炮控系统中的实现

K故障诊断法是一种计算量较小,主要应用于线性网络的模拟电路故障诊断方法,实施比较方便,具有很好的实用价值。通过对炮控元件操纵台诊断网络拓扑结构的设计、激励选定、计算和实验,实现了对操纵台的故障诊断。进一步提出炮控系统的故障诊断设备要着眼于故障诊断方法而不是检测方法。最后对K故障诊断法做了应用分析,供实践参考。     

Stochastic production capacity: A bane or a boon for quick response supply chains?

The quick response (QR) system that can cope with demand volatility by shortening lead time has been well studied in the literature. Much of the existing literature assumes implicitly or explicitly that the manufacturers under QR can always meet the demand because the production capacity is always sufficient. However, when the order comes with a short lead time under QR, availability of the manufacturer's production capacity is not guaranteed. This motivates us to explore QR in supply chains with stochastic production capacity. Specifically, we study QR in a two-echelon supply chain with Bayesian demand information updating. We consider the situation where the manufacturer's production capacity under QR is uncertain. We first explore how stochastic production capacity affects supply chain decisions and QR implementation. We then incorporate the manufacturer's ability to expand capacity into the model. We explore how the manufacturer determines the optimal capacity expansion decision, and the value of such an ability to the supply chain and its agents. Finally, we extend the model to the two-stage two-ordering case and derive the optimal ordering policy by dynamic programming. We compare the single-ordering and two-ordering cases to generate additional managerial insights about how ordering flexibility affects QR when production capacity is stochastic. We also explore the transparent supply chain and find that our main results still hold.     

Purchase and retrieval competition for seasonal produce

We study the competition problem of purchase and multiretrieval of perishable seasonal produce, where wholesalers purchase and stock their products in the first period, and then retrieve and sell them in subsequent periods. We first consider the duopoly case and assume that the prices are exogenous and fluctuate. In each period, after the price realization, the wholesalers retrieve some stock from their warehouses to satisfy their demands. One wholesaler's unsatisfied customers can switch to another and be satisfied by its left retrieved products. Any unsold retrieved stock has no salvage value and any unsatisfied demand is lost. The unretrieved stock is carried to the next period at a perishable rate. The wholesalers compete for the substitute demand by determining their own purchase and retrieval quantities. We show the existence and uniqueness of a pure-strategy Nash equilibrium, and that the Nash equilibrium strategy has the simple “sell-down-to” structure. We also consider the general N-person game and show the existence of the Nash equilibrium, and characterize the structure of the equilibrium strategy for the symmetric case. In addition, we consider the case with endogenous prices, and show that the problem reduces to a repeated newsvendor game with price and inventory competition. We derive the conditions under which a unique Nash equilibrium exists and characterize the equilibrium strategy. Finally, we conduct numerical studies to examine the impacts of the model parameters on the equilibrium outcomes and to generate managerial insights.     

装备维修器材生产路径决策的两阶启发式算法

当前装备供应保障系统中维修器材存在短缺、积压以及配送系统效率低下等问题,亟须对生产、库存和配送作业环节进行集成优化。为客观反映各个决策环节,将该问题公式化为一个混合整数线性规划模型,针对该模型多变量、多约束的特点,提出了一个基于数学规划的两阶启发式算法对其进行求解。结合算例,检验模型的可行性,并选取求解器CPLEX和一个类似的迭代算法与该算法在求解质量和运算时间方面进行对比与分析。结果表明,提出的模型是合理可行的,该算法在求解不同规模实例时表现出优异的性能。     

基于"作战云"的"云作战"问题探析

随着云计算技术不断发展成熟及其在军事领域的逐步推广应用,催生了"作战云"理论。基于"作战云"的"云作战"模式,通过全域、全要素的"云来云往",有效化解基于平台的体系作战存在的作战协同难度大和融合程度低的矛盾问题,进一步提升作战效能。结合对"作战云"概念、特性、外延的阐述,进一步诠释了"作战云"的内涵,定义了"云作战"样式,分析了"云作战"体系的构成,建立了"云作战"体系概念模型,设计了"云作战"的一般流程。