舰空导弹测试项目优化方法研究

舰空导弹测试项目设计优化的目标应是全面但最简。提出如下优化方法:用Luenberger状态观测器法提取能覆盖各方面性能的测试项目最简集合,根据可靠性预计、故障分析得到的可靠性薄弱环节筛选,最后根据各类测试的不同需求和约束条件确定测试项目集合。其思路和方法也可用于其他复杂系统。     

核心维修能力的概念分析

从美军核心维修能力的定义着手,对我军核心维修能力进行定义与分析,深入阐述了核心竞争力、基地级核心维修能力等4个核心维修能力的相关概念,将核心维修能力的主要属性归纳为必需性、完整性、层次性、动态性,并对各个属性进行分析,对我军核心维修能力的确定以及建设具有重要意义。     

重型装备回收系统气囊缓冲特性研究

将气囊缓冲过程分解为绝热压缩和排气释能2个过程,从热力学和运动学方程出发,建立考虑降落伞阻力影响的缓冲气囊的解析分析模型。基于该模型,对立式气囊的缓冲特性进行研究。结果表明：降落伞阻力对缓冲性能有微小影响,在计算中可以忽略。在理论分析的基础上给出了系统质量与气囊初始体积比的最优值,探讨了排气口固定型与可控型气囊的缓冲特性及其应用优劣。     

舰船装备健康状态评估方法

结合可靠性和维修性的概念,对舰船健康状态评估的相关概念进行了分析,并对健康状态和健康度的概念进行了探讨和改进.提出了单个舰载装备和由多个装备组成的装备系统的健康状态评估方法,引入了"任务健康度"的概念.最后,根据舰船执行不同任务的实际需求,将全舰健康状态的概念引入到舰船的使用和维修保障中,提出了舰船各系统的健康状态标准...     

Production‐inventory systems with imperfect advance demand information and updating

We consider a supplier with finite production capacity and stochastic production times. Customers provide advance demand information (ADI) to the supplier by announcing orders ahead of their due dates. However, this information is not perfect, and customers may request an order be fulfilled prior to or later than the expected due date. Customers update the status of their orders, but the time between consecutive updates is random. We formulate the production‐control problem as a continuous‐time Markov decision process and prove there is an optimal state‐dependent base‐stock policy, where the base‐stock levels depend upon the numbers of orders at various stages of update. In addition, we derive results on the sensitivity of the state‐dependent base‐stock levels to the number of orders in each stage of update. In a numerical study, we examine the benefit of ADI, and find that it is most valuable to the supplier when the time between updates is moderate. We also consider the impact of holding and backorder costs, numbers of updates, and the fraction of customers that provide ADI. In addition, we find that while ADI is always beneficial to the supplier, this may not be the case for the customers who provide the ADI. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

Resource allocation with lumpy demand: To speed or not to speed?

In the classical EPQ model with continuous and constant demand, holding and setup costs are minimized when the production rate is no larger than the demand rate. However, the situation may change when demand is lumpy. We consider a firm that produces multiple products, each having a unique lumpy demand pattern. The decision involves determining both the lot size for each product and the allocation of resources for production rate improvements among the products. We find that each product's optimal production policy will take on only one of two forms: either continuous production or lot‐for‐lot production. The problem is then formulated as a nonlinear nonsmooth knapsack problem among products determined to be candidates for resource allocation. A heuristic procedure is developed to determine allocation amounts. The procedure decomposes the problem into a mixed integer program and a nonlinear convex resource allocation problem. Numerical tests suggest that the heuristic performs very well on average compared to the optimal solution. Both the model and the heuristic procedure can be extended to allow the company to simultaneously alter both the production rates and the incoming demand lot sizes through quantity discounts. Extensions can also be made to address the case where a single investment increases the production rate of multiple products. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004.     

Special Operators: A Key Ingredient for Successful Peacekeeping Operations Management

As an integral component of the Military Observer Mission Ecuador and Peru (MOMEP), 1995-99, Special Operations Forces (SOF) performed as a true confidence-building measure (CBM). They succeeded in changing the behaviour of states, helping to resolve a longstanding conflict. MOMEP consequently serves as an example of risk management and reduction measures that insure regional stability. Further, it is an example of a regional multi-national military peacekeeping effort (PKO), conducted by conventional forces from various nations with influence and guidance from SOF, that succeeded without the reliance upon the United Nations.     

The optimal linear combination of control variates in the presence of asymptotically negligible bias

The optimal linear combination of control variates is well known when the controls are assumed to be unbiased. We derive here the optimal linear combination of controls in the situation where asymptotically negligible bias is present. The small-sample linear control which minimizes the mean square error (MSE) is derived. When the optimal asymptotic linear control is used rather than the optimal small-sample control, the degradation in MSE is c/n³, where n is the sample size and c is a known constant. This analysis is particulary relevant to the small-sample theory for control variates as applied to the steady-state estimation problem. Results for the method of multiple estimates are also given.     

Incorporation dynamic aspects and uncertainty in 1‐median location problems

In this paper we present several 1‐median formulations on a tree network which incorporate dynamic evolution and/or uncertainty of node demands and transportation costs over a planning horizon. Dynamic evolution is modeled using linear demand functions for the nodes and linear length functions for the edges. Uncertainty is modeled with the use of multiple scenarios, where a scenario is a complete specification of the uncertain node demands and/or edge lengths. We formulate our objective using minimax regret like criteria. We use two different criteria, namely, robust deviation and relative robustness. We discuss what motivated the introduction of these objectives, as well as their relation to existing literature and decision making practices. For all of the models presented, we provide low‐order polynomial time algorithms. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 147–168, 1999