关于加强经费管理的若干问题

部队经费管理是财务管理的关键 ,加强宏观调控 ,严格抓制度落实 ,建立健全经费管理监督机制 ,提高财务人员综合素质 ,发挥财务管理职能 ,从而加强部队财务规范化管理 ,使经费投向合理 ,投量节约 ,发挥最大使用效益。     

Scheduling patients in an ambulatory surgical center

This paper presents a deterministic approach to schedule patients in an ambulatory surgical center (ASC) such that the number of postanesthesia care unit nurses at the center is minimized. We formulate the patient scheduling problem as new variants of the no‐wait, two‐stage process shop scheduling problem and present computational complexity results for the new scheduling models. Also, we develop a tabu search‐based heuristic algorithm to solve the patient scheduling problem. Our algorithm is shown to be very effective in finding near optimal schedules on a set of real data from a university hospital's ASC. © 2003 Wiley Periodicals, Inc. Naval Research Logistics, 2003     

一种面向关键属性更新的优化数据一致性算法

规模巨大且分布性强的P2P系统可能导致部分数据副本发布的更新被长时间地延迟,从而降低Internet上资源定位的效率。针对关键属性更新的特点,提出一种解决关键属性更新冲突的优化数据一致性算法。算法中分离出用户提交的更新请求中关于关键属性的更新,在对关键更新冲突分类的基础上,采用更新缓冲预处理和关键更新表两层机制并结合最新写胜出和分而治之规则,优化关键更新冲突的发现和解决。关键属性更新的优化处理使得不会产生因为关键属性更新的延迟而降低系统基于关键属性的资源定位效率,满足面向Internet的P2P系统的要求。模拟测试结果表明该算法在一致性维护开销、资源定位开销与资源访问开销以及鲁棒性方面均具有较好的性能。     

引入价格因素的网络资源分配模型与算法实现

引入价格因素,针对网络资源分配提出PE-EMRA网络资源分配模型,并给出算法实现。PE-EMRA模型综合考虑带宽、缓冲等多种网络资源,调节并限制各业务类流量,使系统总效率最大化。该方法可有效提高资源利用率,提供服务质量保证,并具有配置灵活、实现代价小等特点。     

Two-agent scheduling with linear resource-dependent processing times

This paper considers a two-agent scheduling problem with linear resource-dependent processing times, in which each agent has a set of jobs that compete with that of the other agent for the use of a common processing machine, and each agent aims to minimize the weighted number of its tardy jobs. To meet the due date requirements of the jobs of the two agents, additional amounts of a common resource, which may be in discrete or continuous quantities, can be allocated to the processing of the jobs to compress their processing durations. The actual processing time of a job is a linear function of the amount of the resource allocated to it. The objective is to determine the optimal job sequence and resource allocation strategy so as to minimize the weighted number of tardy jobs of one agent, while keeping the weighted number of tardy jobs of the other agent, and the total resource consumption cost within their respective predetermined limits. It is shown that the problem is -hard in the ordinary sense, and there does not exist a polynomial-time approximation algorithm with performance ratio unless ; however it admits a relaxed fully polynomial time approximation scheme. A proximal bundle algorithm based on Lagrangian relaxation is also presented to solve the problem approximately. To speed up convergence and produce sharp bounds, enhancement strategies including the design of a Tabu search algorithm and integration of a Lagrangian recovery heuristic into the algorithm are devised. Extensive numerical studies are conducted to assess the effectiveness and efficiency of the proposed algorithms.     

Inducing coordination in supply chains through linear reward schemes

Decentralized decision‐making in supply chain management is quite common, and often inevitable, due to the magnitude of the chain, its geographical dispersion, and the number of agents that play a role in it. But, decentralized decision‐making is known to result in inefficient Nash equilibrium outcomes, and optimal outcomes that maximize the sum of the utilities of all agents need not be Nash equilibria. In this paper we demonstrate through several examples of supply chain models how linear reward/penalty schemes can be implemented so that a given optimal solution becomes a Nash equilibrium. The examples represent both vertical and horizontal coordination issues. The techniques we employ build on a general framework for the use of linear reward/penalty schemes to induce stability in given optimal solutions and should be useful to other multi‐agent operations management settings. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2006     

改革考试方法 加强考试管理

考试是评定学生学习成绩,检查教师教学效果和检测高校教学质量的基本手段,是教学管理中的重要环节。改革考试方法,加强考试管理,是教学管理部门和教师深入研究的重要课题。     

基于IRT的自适应学习管理系统设计

从新一代网络教育标准体系的架构入手,结合学习管理系统标准,提出了用标准格式绑定学习单元的方法,并且结合项目反应理论,实现了自适应学习管理和跟踪。标准化的结构设计有利于教育资源在不同系统间的交互、共享和重用,而自适应的学习跟踪使得远程网络教育过程更符合人的学习规律,能够有效地提高学习效率.     

基于供应链管理的战时装备供应保障业务流程重组

从战时装备供应链管理的要素和相互关系出发,结合我军实际,提出了基于供应链的战时装备供应保障业务流程重组过程,并对相关方法进行了讨论,旨在使战时所需装备以可预见的方式快速、安全、准确地送抵到作战部队。     

RCS特性辅助的CMIMO雷达功率资源分配方法

针对集中式多输入多输出(collocated multiple-input multiple-output, CMIMO)雷达在实际探测过程中,未有效结合目标雷达散射截面(radar cross section, RCS)高动态变化特性导致雷达跟踪精度不高甚至失跟的问题,提出一种基于目标RCS高动态特性的CMIMO雷达功率资源自适应分配方法。考虑到目标RCS特征的角度敏感性,利用目标运动状态的可预测性动态获取实际观测角度,从而完成跟踪帧的极化方式优选;在此基础上构建包含功率与RCS的多目标跟踪误差后验克拉美罗下界,将其作为目标函数进行优化,利用内点惩罚法求解该凸优化问题即可实现RCS高动态情况下的功率优化分配。实验结果表明:该方法可结合目标不同方向RCS动态分集特性实现功率的有效分配,相比于传统RCS模型分配方案,有效解决了分配方案与实际跟踪场景之间的失配问题,从而提升了CMIMO雷达的多目标跟踪性能。