接近速度和放电电压对空气式静电放电参数的影响

对影响空气式静电放电的一个重要因素——电弧结构进行了理论分析。在此基础上,利用新研制成功的静电放电模拟测试系统,分析了接近速度和放电电压对静电放电电流峰值、上升时间以及感应电压峰-峰值的影响。试验得出,在放电电压一定的情况下,放电电流峰值和感应电压峰-峰值随接近速度的增大而增大;上升时间随接近速度的增大而减小。这些试验结果为建立静电放电抗扰度试验新方法提供了依据。     

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。     

某自动步枪身管内膛破坏特点研究

通过枪管的寿命试验,获取该枪的寿命值。利用MATLAB进行二项式曲线拟合,得到枪管的初速预测模型,并根据内膛表面形貌和断面形貌的显微图像,找出内膛破坏的特点及枪管寿终原因,为今后身管武器研究提供一定的借鉴作用。     

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。     

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。     

高含硫气井井筒硫沉积的预测方法

近年川东气田的几口碳酸岩气井在开采过程中出现较为严重的硫沉积,有的甚至被硫堵塞停产,对这些气井的硫沉积进行精确的预测和有效的管理就显得至关重要.提出了一个新的解析模型,把硫的溶解度作为温度、压力及流态的函数,结合压力与温度的藕合,应用颗粒受力分析来预测含硫天然气开采中的气井井筒硫沉积,其预测结果与实际相符,可作为井下除硫处理、洗井作业、优化完井及开采速度等设计的基础.     

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     

Optimal design of accelerated life testing plans for periodical replacement with penalty

Accelerated life testing (ALT), enhanced by optimal test plans, has been widely accepted in practice as a quick approach for estimating the reliability of a product. From the estimation result, preventive maintenance schedules can be determined to ensure the performance of the product under its normal operating conditions. By default, maintenance decision‐making is regarded as the last and least rewarding step. However, sometimes the maintenance schedules, such as preventive maintenance intervals, are predetermined due to customer concerns and/or by various mandatory regulations and rules. Under such circumstances, how to accurately estimate the expenditure (e.g., on maintenance or spare parts management) associated with these maintenance requirements becomes an important issue. A viable solution is to incorporate the maintenance requirements into ALT plans. This paper provides an approach for the optimal design of ALT plans oriented by a mandatory periodical replacement schedule subject to a discounted penalty. The objective is to improve the estimation accuracy of the economic impact of this maintenance requirement. A numerical experiment is provided to demonstrate the approach in practical use. © 2008 Wiley Periodicals, Inc. Naval Research Logistics 2009