考虑资源约束的复杂维修任务时间预计模型

在分析装备维修过程时间影响因素的基础上,研究了维修过程时间模型的建模要素关系。采用Petri网技术建立了反映子任务基本关系、资源约束和调度策略的典型维修过程模型,并对典型子任务执行过程进行了细化建模,研究了模型冲突和资源调度策略。针对典型实例进行了维修时间预计和资源利用率分析。     

库存照明弹药照明炬照明时间研究

照明弹药经过长期贮存后,照明炬中照明剂的理化性能可能已发生变化从而影响其照明效应。通过抽取库存照明弹药样品,分解出弹丸中的照明炬进行静态燃烧试验,测定其光学性能。由测得的数据可以绘制出照明炬发光强度和时间的曲线,分析得出照明弹药经过长期贮存后其照明时间仍符合设计要求。     

基于Stateflow的排队系统仿真方法

论述了排队系统与Stateflow相关概念,利用有限状态机理论与面向对象编程思想,提出了建立基于Stateflow排队系统模型的分析步骤,阐述了应用Stateflow对排队系统进行建模与仿真的方法,使用Stateflow对M／M／1／∞／∞／FIFO类型排队系统进行了具体的建模与仿真。仿真结果表明,基于Stateflow的模型与仿真能够有效地描述排队系统的统计特性,并具有可视化、流程化和层次化的特点。     

具有时滞的比率型Chemostat模型的全局稳定性

研究一类具有时滞的比率型功能性反应的Chemostat模型。研究了模型的边界平衡点和正平衡点的局部稳定性以及Hopf分支的存在性;利用比较定理证明了边界平衡点的全局稳定性;通过构造Liapunov泛函给出了保证系统正平衡点全局稳定的充分条件;并通过数值模拟验证了理论结果。     

有限元分析法在Yx形橡胶密封圈设计中的应用

利用有限元分析软件ANSYS对所设计的Yx形橡胶密封圈进行有限元分析,对得到的范·米塞斯（VonMises）应力、接触压力、接触有效长度进行研究,预测了密封圈可能出现裂纹的位置。针对设计的不足之处,加以优化改进,直到形成符合要求的设诀产品.     

新型BFRP筋增强混凝土受弯构件挠度控制

玄武岩纤维塑料增强筋（BFRP筋）的特性导致以其为增强筋的受弯构件出现裂缝后刚度降低非常明显,变形发展过快。因此,对BFRP筋混凝土梁的设计主要应根据其变形性能标准的要求来进行。为方便设计人员进行BFRP筋受弯构件设计,结合试验研究,通过对比国内外有关FRP筋混凝土梁开裂截面有限惯性矩计算模型的研究,探索出适合BFRP筋混凝土梁开裂截面有效惯性矩计算模型;通过建模分析,表明有限元计算模型和其他几种计算模型一起可以应用于BFRP筋混凝土梁直接挠度控制。推导出FRP筋受弯构件配筋率计算公式,结合直接挠度控制研究,提出通过控制跨高比限值来进行梁尺寸初选的间接挠度控制计算公式。     

型钢混凝土桁架节点有限元分析

由于普通结构设计软件无法实现型钢混凝土空间桁架节点内部细化计算分析,为解决这一问题,通过采用ANSYS软件对整体结构进行静力分析,并提取桁架节点处各构件的内力,将其施加于桁架节点的实体模型,进行精细的有限元计算分析;检验桁架节点实体模型内部应力是否满足强度要求,验证结构设计时节点区域的型钢选取和配筋的合理性;同时将分析结果与在该结构施工现场实际检测结果进行对比。结果表明,AN—SYS软件能够准确地完成普通结构设计软件无法完成的复杂结构模型的细化有限元分析。     

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     

A two‐echelon inventory‐location problem with service considerations

We study the problem of designing a two‐echelon spare parts inventory system consisting of a central plant and a number of service centers each serving a set of customers with stochastic demand. Processing and storage capacities at both levels of facilities are limited. The manufacturing process is modeled as a queuing system at the plant. The goal is to optimize the base‐stock levels at both echelons, the location of service centers, and the allocation of customers to centers simultaneously, subject to service constraints. A mixed integer nonlinear programming model (MINLP) is formulated to minimize the total expected cost of the system. The problem is NP‐hard and a Lagrangian heuristic is proposed. We present computational results and discuss the trade‐off between cost and service. © 2009 Wiley Periodicals, Inc. Naval Research Logistics 2009     

To wait or not to wait: Optimal ordering under lead time uncertainty and forecast updating

There has been a dramatic increase over the past decade in the number of firms that source finished product from overseas. Although this has reduced procurement costs, it has increased supply risk; procurement lead times are longer and are often unreliable. In deciding when and how much to order, firms must consider the lead time risk and the demand risk, i.e., the accuracy of their demand forecast. To improve the accuracy of its demand forecast, a firm may update its forecast as the selling season approaches. In this article we consider both forecast updating and lead time uncertainty. We characterize the firm's optimal procurement policy, and we prove that, with multiplicative forecast revisions, the firm's optimal procurement time is independent of the demand forecast evolution but that the optimal procurement quantity is not. This leads to a number of important managerial insights into the firm's planning process. We show that the firm becomes less sensitive to lead time variability as the forecast updating process becomes more efficient. Interestingly, a forecast‐updating firm might procure earlier than a firm with no forecast updating. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2009