并行离散事件仿真中的DDM机制实现

在并行离散事件仿真系统中实现仿真模型间的互操作机制需要引入类似HLA中定义的声明管理(DM)和数据分发管理(DDM)服务.我们开发的KD-PADSE高性能并行离散事件仿真环境采用谓词断言和对象代理方法在面向对象的并行离散事件仿真系统中实现了基于平行结构和事件调度机制的声明管理(DM)和数据分发管理(DDM)服务.在以千兆以太网互联的10节点Linux集群计算机上,采用DDM机制后仿真模型每秒(物理时间)可以进行1万次属性更新,是没有采用DDM机制时的20倍,在功能性和性能上验证了该DDM机制在并行离散事件仿真系统中的适用性.     

Dynamic inventory management with cash flow constraints

In this article, we consider a classic dynamic inventory control problem of a self‐financing retailer who periodically replenishes its stock from a supplier and sells it to the market. The replenishment decisions of the retailer are constrained by cash flow, which is updated periodically following purchasing and sales in each period. Excess demand in each period is lost when insufficient inventory is in stock. The retailer's objective is to maximize its expected terminal wealth at the end of the planning horizon. We characterize the optimal inventory control policy and present a simple algorithm for computing the optimal policies for each period. Conditions are identified under which the optimal control policies are identical across periods. We also present comparative statics results on the optimal control policy. © 2008 Wiley Periodicals, Inc. Naval Research Logistics 2008     

An attacker‐defender model for analyzing the vulnerability of initial attack in wildfire suppression

Wildfire managers use initial attack (IA) to control wildfires before they grow large and become difficult to suppress. Although the majority of wildfire incidents are contained by IA, the small percentage of fires that escape IA causes most of the damage. Therefore, planning a successful IA is very important. In this article, we study the vulnerability of IA in wildfire suppression using an attacker‐defender Stackelberg model. The attacker's objective is to coordinate the simultaneous ignition of fires at various points in a landscape to maximize the number of fires that cannot be contained by IA. The defender's objective is to optimally dispatch suppression resources from multiple fire stations located across the landscape to minimize the number of wildfires not contained by IA. We use a decomposition algorithm to solve the model and apply the model on a test case landscape. We also investigate the impact of delay in the response, the fire growth rate, the amount of suppression resources, and the locations of fire stations on the success of IA.     

美国空军研究实验室组织管理与科研规划分析

美国空军研究实验室是一个在空中、太空和网络空间领域处于全球领先地位的科研机构,承担着美国空军国防高技术项目的规划、管理和实施工作,是美国空军保持技术优势的重要研究力量。本文剖析了美国空军实验室的使命任务、组织管理和科研规划,总结了实验室在人才培养和科研任务制定方面的经验和方法。     

Value management of diagnostic equipment with cancelation,no‐show,and emergency patients

Magnetic resonance imaging and other multifunctional diagnostic facilities, which are considered as scarce resources of hospitals, typically provide services to patients with different medical needs. This article examines the admission policies during the appointment management of such facilities. We consider two categories of patients: regular patients who are scheduled in advance through an appointment system and emergency patients with randomly generated demands during the workday that must be served as soon as possible. According to the actual medical needs of patients, regular patients are segmented into multiple classes with different cancelation rates, no‐show probabilities, unit value contributions, and average service times. Management makes admission decisions on whether or not to accept a service request from a regular patient during the booking horizon to improve the overall value that could be generated during the workday. The decisions should be made by considering the cancelation and no‐show behavior of booked patients as well as the emergency patients that would have to be served because any overtime service would lead to higher costs. We studied the optimal admission decision using a continuous‐time discrete‐state dynamic programming model. Identifying an optimal policy for this discrete model is analytically intractable and numerically inefficient because the state is multidimensional and infinite. We propose to study a deterministic counterpart of the problem (i.e., the fluid control problem) and to develop a time‐based fluid policy that is shown to be asymptotically optimal for large‐scale problems. Furthermore, we propose to adopt a mixed fluid policy that is developed based on the information obtained from the fluid control problem. Numerical experiments demonstrate that this improved policy works effectively for small‐scale problems. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 287–304, 2016     

面向多核网络分组处理系统的线程亲和缓冲区管理机制

基于通用多核架构的网络分组处理系统性能受到诸如分组IO开销高、多核共享内存及进程调度竞争大、页表缓冲表项失效率高等问题的困扰。为此提出一种基于通用多核网络分组处理系统、面向高速分组转发应用的线程亲和缓冲区硬件管理机制,并在网络专用协处理引擎上实现。该机制采用无中断的线程亲和调度策略,将包含控制信息与缓冲区地址信息的描述符和分组数据按照分组处理的线程号链式地对应加载在多个地址连续的共享缓冲区中。基于通用多核和现场可编程门阵列平台进行报文转发测试,实验结果表明,采用线程亲和缓冲区管理机制能使平均报文转发处理性能提升12.4%,有效地降低IO开销和TLB表项失效率。     

消防部队火灾扑救和应急救援心理训练实践与探索

消防部队承担着复杂而危险的火灾扑救和应急救援任务,战斗中常会出现各种不良心理,心理素质是影响部队战斗力的重要因素。开展心理素质训练,提高消防官兵心理素质和心理适应能力是一个亟待解决的问题。阐述了消防部队火灾扑救和应急救援工作实际以及有关心理学知识,研究如何开展火灾扑救和应急救援心理训练,提高消防官兵的心理素质和心理适应能力。     

伪劣消防产品现状及整治对策探讨

消防水带、消防水枪、消火栓箱体、室内消火栓、钢质防火门、应急照明、疏散指示标志、灭火器等多种消防产品,不合格产品很多,存在问题严重。分析了假冒伪劣消防产品的现状,并分析了存在问题的原因,从联合治理、提高执法人员素质、健全法规制度、加大宣传力度等方面提出了整治假冒伪劣消防产品的措施,指出了在具体工作中遇到的难题。     

以科学发展观为牵引实现学员队科学管理

军队院校学员队应坚持以培养人才为中心,坚持理论与实际、学院教育与部队建设相结合,遵循院校教育规律,坚持“解放思想、勇于创新,需求牵引、强化特色,遵循规律、持续发展,突出重点、整体推进,注重质量、讲求效益”的原则,全面推进创新教育和素质教育;加强科学管理、创新管理、从严管理,切实提高学员综合素质。     

转变管理模式注重学员创造性思维能力的培养

学员队管理要注重学员创造性思维能力的培养。在分析传统管理模式对学员创造性思维能力培养的制约因素的基础上,提出了管理者应转变管理模式,注重培养学员创造性思维能力的几最思考。