A single‐period inventory placement problem for a serial supply chain

This article addresses the inventory placement problem in a serial supply chain facing a stochastic demand for a single planning period. All customer demand is served from stage 1, where the product is stored in its final form. If the demand exceeds the supply at stage 1, then stage 1 is resupplied from stocks held at the upstream stages 2 through N, where the product may be stored in finished form or as raw materials or subassemblies. All stocking decisions are made before the demand occurs. The demand is nonnegative and continuous with a known probability distribution, and the purchasing, holding, shipping, processing, and shortage costs are proportional. There are no fixed costs. All unsatisfied demand is lost. The objective is to select the stock quantities that should be placed different stages so as to maximize the expected profit. Under reasonable cost assumptions, this leads to a convex constrained optimization problem. We characterize the properties of the optimal solution and propose an effective algorithm for its computation. For the case of normal demands, the calculations can be done on a spreadsheet. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48:506–517, 2001     

Bayesian testing strategies for software with an operational profile

We consider a software reliability model where the failure rate of each fault depends on the specific operation performed. The software is tested in a given sequence of test cases for fixed durations of time to collect data on failure times. We present a Bayesian analysis of software failure data by treating the initial number of faults as a random variable. Our analysis relies on the Markov Chain Monte Carlo methods and is used for developing optimal testing strategies in an adaptive manner. Two different models involving individual and common faults are analyzed. We illustrate an implementation of our approach by using some simulated failure data. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48:747–763, 2001     

确定导弹武器系统保障性指标的思考

描述了导弹武器系统保障性参数及其指标的涵义,探讨了确定纳入导弹武器系统研制任务书中的保障性指标应注意的几个问题.     

地空导弹武器系统作战效能的模糊综合评价

为科学评估地空导弹武器系统的作战效能,对地空导弹武器系统进行了全面分析,建立了地空导弹武器系统作战效能综合评价的指标体系.并利用模糊数学方法,确立了该系统的综合评价模型,从而为地空导弹武器系统的总体作战效能的综合评价提供了一种方法,具有一定的参考价值.     

Testing of software with an operational profile

One of the important features of any software system is its operational profile. This is simply the set of all operations that a software is designed to perform and the occurence probabilities of these operations. We present a new model on optimal software testing such that testing is done sequentially using a set of test cases. There may be failures due to the operations in each of these cases. The model parameters, consisting of testing costs and failure rates, all depend on the cases used and the operations performed. Our aim is to find the optimal testing durations in all of the cases in order to minimize the total expected cost. This problem leads to interesting decision models involving nonlinear programming formulations that possess explicit analytical solutions under reasonable assumptions. © 2000 John Wiley & Sons, Inc., Naval Research Logistics 47: 620–634, 2000     

Testing or fault-finding for reliability growth: A missile destructive-test example

A new piece of equipment has been purchased in a lot of size m. Some of the items can be used in destructive testing before the item is put into use. Testing uncovers faults which can be removed from the remaining pieces of equipment in the lot. If t < m pieces of equipment are tested, then those that remain, m₁ = m − t, have reduced fault incidence and are more reliable than initially, but m₁ may be too small to be useful, or than is desirable. In this paper models are studied to address this question: given the lot size m, how to optimize by choice of t the effectiveness of the pieces of equipment remaining after the test. The models used are simplistic and illustrative; they can be straightforwardly improved. © 1997 John Wiley & Sons, Inc. Naval Research Logistics 44: 623–637, 1997     

海军军事数据在指挥控制中的作用及层次关联分析

信息化条件下的海上作战中,数据的重要性不断凸显,数据建设已成为信息化建设的核心内容之一,加强数据研究愈发重要,因此以海军军事数据为研究对象,论述海军军事数据在指挥控制中的作用、特点,重点以海军水面舰艇作战能力数据为研究对象,对海军军事数据之间的层次关联性进行了分析研究,建立了海军水面舰艇作战能力数据的层次关系模型,为海军军事数据的进一步深入研究打下基础。     

利用固定周数测时法测定目标速度

利用固定多普勒频率的周期进行测速是测速的方法之一 ,此法应用到雷达测速中 ,通过测出径向速度 ,检验数据的合理性 ,再利用合理的数据进行径向速度外推和非线性修正 ,求得目标的速度。     

加强防空导弹部队和歼击航空兵部署建议的 论证方法

兵力需求是作战筹划的重要内容之一,防空兵力需求的估算是防空作战指挥员和指挥机关平时进行战场建设,战时实施兵力集结与调动的基本依据。本文提出了一种加强防空兵力部署建议的论证方法,在不使用复杂的冲突空域仿真模型的情况下,使军事指挥机关能够高效地确定冲突双方兵力对比关系以及期望的作战行动效能;拟定在任何一个部队责任区内,防空导弹部队和歼击航空兵部署战斗编成的论证建议,供部队指挥员决策参考。     

美军战术车辆作战试验现状分析

以美军战术车辆为研究对象,介绍了美军战术车辆的基本概况,分析了美军战术车辆作战试验类型,系统研究了美军轻型、中型、重型战术车辆及防地雷反伏击车的作战试验现状和特点,提出了对我军开展战术车辆作战试验的启示。