Integrating decisions with advance supply information in an assemble-to-order system

We study a periodic-review assemble-to-order (ATO) system with multiple components and multiple products, in which the inventory replenishment for each component follows an independent base-stock policy and stochastic product demands are satisfied according to a First-Come-First-Served rule. We assume that the replenishment for various component suffers from lead time uncertainty. However, the decision maker has the so-called advance supply information (ASI) associated with the lead times and thus can take advantage of the information for system optimization. We propose a multistage stochastic integer program that incorporates ASI to address the joint optimization of inventory replenishment and component allocation. The optimal base-stock policy for the inventory replenishment is determined using the sample average approximation algorithm. Also, we provide a modified order-based component allocation (MOBCA) heuristic for the component allocation. We additionally consider a special case of the variable lead times where the resulting two-stage stochastic programming model can be characterized as a single-scenario case of the proposed multistage model. We carry out extensive computational studies to quantify the benefits of integrating ASI into joint optimization and to explore the possibility of employing the two-stage model as a relatively efficient approximation scheme for the multistage model.     

Optimal control policies for an inventory system with commitment lead time

We consider a firm which faces a Poisson customer demand and uses a base‐stock policy to replenish its inventories from an outside supplier with a fixed lead time. The firm can use a preorder strategy which allows the customers to place their orders before their actual need. The time from a customer's order until the date a product is actually needed is called commitment lead time. The firm pays a commitment cost which is strictly increasing and convex in the length of the commitment lead time. For such a system, we prove the optimality of bang‐bang and all‐or‐nothing policies for the commitment lead time and the base‐stock policy, respectively. We study the case where the commitment cost is linear in the length of the commitment lead time in detail. We show that there exists a unit commitment cost threshold which dictates the optimality of either a buy‐to‐order (BTO) or a buy‐to‐stock strategy. The unit commitment cost threshold is increasing in the unit holding and backordering costs and decreasing in the mean lead time demand. We determine the conditions on the unit commitment cost for profitability of the BTO strategy and study the case with a compound Poisson customer demand.     

区块链在分队战术协同中的应用构想

从战术分队角度出发,探讨了区块链技术在作战实体之间的信息交互及智能协同方面的应用设想,分析了战术分队信息交互的相关技术及面临的挑战,阐述了区块链在未来战术分队指挥体系构建中的发展构想。     

基于位置信息的无线传感网络路由改进

基于位置信息的无线传感器网络如果完全采用无状态的方式路由,在某些拓扑结构中存在数据不可到达的缺陷,即死亡点的问题.针对这一问题,将无线传感器网络抽象为一数学模型,在此模型的基础上,给出了问题的数学描述.经分析,提出了一种基于逃离算法的详细解决方案.对算法的性能从理论上分析得出算法没有环路,是正确可行的,而仿真结果也验证了这一点,算法的时间复杂度为O(n).     

Agent的多传感器管理方案

多Agent系统(Multi-Agent System,MAS)以其智能性和交互协作等优点在分布式系统中得到了广泛的应用.火控系统组网就是通过把分立的火控系统通过某种网络结构连接起来,以提高火控系统的整体性能,是一个典型的分布式系统.以火控系统组网为背景,将Agent技术应用于组网系统中的多传感器管理,并采用了基于角色的任务分解思想.提出了基于多Agent的传感器管理结构模型,分析了各个组件Agent的功能.     

防空兵指挥决策系统及其运行环境的影响

决策者、决策辅助人员和指挥决策信息系统是部队指挥决策系统的基本组成部分,防空兵指挥自动化和决策支持系统则是指挥决策信息系统的一部分,环境因素和决策信息是影响防空兵指挥决策系统的重要因素.从系统的观点阐述了防空兵指挥决策系统与内外环境因素的关系,提出在新技术条件下,系统信息是防空兵指挥决策系统的又一组成要素.从这个观点出发,可以准确、全面地了解和分析系统环境因素对防空兵指挥决策系统影响,最终达到提高防空兵指挥决策效能的目的.     

消防部队信息化建设存在问题及对策

结合消防部队实际并具体到近年来消防部队的信息化建设工作,就现代信息化建设在消防部队中存在的问题进行了分析,并提出了相应的解决方法,对当前消防部队的信息化建设工作有一定的参考价值。     

某型导弹制导装置临战快速检测系统

某刑导弹制导装置集光、机、电等多种技术于一体,技术状态易发生变化,在临战前必须快速确认其工作状态。针对某型导弹制导装置临战检测的特点,分析丁制导装置的结构和关键控制信号,开发了能够对制导装置的关键控制信号和激光信息场进行功能性检测的临战快速检测系统。该系统町为指挥员提供辅助决策支持,也可用于平时的技术维护和功能榆查。     

基于多栅格的基建营房保障信息耦合研究

合理利用军地资源实施一体化保障是现代战争或非战争军事行动基建营房保障的重要内容,然而,包含大量此类信息的商用网络、行业网络和平时基建营房业务管理网络的信息如何能被有效利用却是一个令人头疼的问题。依托军事信息栅格和地方多个行业信息网络,研究、设计缓冲数据库和数据订制服务软件,安全可靠地将分布在多个信息栅格中的基建营房保障所需信息耦合到军事后勤信息网络中,为快速、科学制定基建营房保障计划和实施战时基建营房一体化保障提供强有力的信息支持。     

能力型防空群指控系统概念模型及效能评估

为提高能力型防空群整体作战能力,应用系统论方法分析了能力型防空群指控系统的构成要素及运行模式,提出了指控系统信息结构力的概念,建立了能力型防空群指控系统概念模型。在此基础上,提出了能力型防空群指控系统效能评估指标体系,运用网络复杂性理论、图论、集合论及信息论方法建立了能力型防空群指控系统的物理性能及信息结构力计算模型,给出了指控系统效能综合评估函数,可为防空指控系统构建提供参考。