基于Web和数据仓库的企业决策支持系统研究

本文针对目前企业决策支持系统面临的问题,提出了Intranet环境下,以数据仓库为中心的企业DSS的总体结构与设计。探讨了基于Web和数据仓库的DSS方法与技术,结合实例介绍了系统的设计与开发过程。     

基于数据仓库的银行CRM系统设计

银行实施全面数据集中后，大量丰富的数据资源为客户关系管理的科学化、系统化提供了有利的条件，本文利用数据仓库技术实现个人客户关系的信息管理，为银行电子商务的深入发展进行了有益的尝试。     

数据挖掘技术在图书馆中的应用

随着图书馆信息的大量增长,如何提取表面上庞杂无序的信息的内在联系以供读者使 用成为当前的重要问题。数据挖掘就是这样一种技术,可以从大型数据库中挖掘先前未知的 、有效的、实用的信息,并使用这些信息丰富知识或做出决策。文章给出了数据挖掘在图书 馆业务中的应用, 运用分类分析技术对流通记录、检索请求进行分析,并以此分析出文献的 利用率。     

自动化仓库计算机控制系统的集成化技术研究

从优化系统开发和运行的角度分析了自动化立体仓库计算机管理系统的功能和软硬件结构．采用计算机网络，数据库管理系统，多种语言混合编程，数据通讯和人机接口等技术，实现了整个系统的软硬件集成，信息集成和人机集成     

清代北京、通州仓花户对仓储的危害

清代北京、通州仓又简称京通仓,是存贮全国数百万石漕粮的仓储群,对京城皇室日需、官员俸禄、驻军供给、灾荒赈济、粮价平衡具有重要的意义。京通仓花户作为保障仓储运转且地位较低的下层群体,在清代中后期逐渐成为威胁京通仓仓粮足额的重要因素,他们不但掺假使诈、盗窃仓粮、私卖米票、科索旗兵、影射把持,而且与仓监督、胥吏、地棍相勾结,逐渐将国家粮仓变成堕落腐败的渊薮。     

基于委托模式融通仓的银行对第三方物流激励和监督

第三方物流努力工作和积极参与是融通仓有效运作的关键因素,因此如何促使其努力工作是一个非常重要的问题.运用委托代理理论,研究银行激励和监督第三方物流努力工作的问题.模型给出银行对第三方仅采用激励以及激励和监督相结合两种情况下的均衡结果,并对两种结果进行比较,然后对模型做进一步分析.结果显示,与仅用激励手段相比,银行采用激励和监督相结合的手段会使第三方物流更加努力工作.最后用算例说明银行给予第三方物流最优激励系数、最优固定支付及第三方物流最优努力水平的确定方法.     

信息生命周期管理在数字图书馆中的应用

信息生命周期管理是近两年倍受关注的热门课题,在我国尚处于萌芽阶段。文章在简单介绍信息生命周期管理(ILM)概念的基础上,针对数字图书馆及网络存储中信息数据过量以及信息时效等管理问题,提出一种信息生命周期管理模式。     

Logistics reorganization and management of the ambulatory pharmacy of a local health unit in Portugal

The Hospital Pharmacy of a Local Health Unit (LHU) in greater Oporto plays a major role in the community. In addition to providing medicines to the entire Internal Unit, it has created a service called "Hospital Ambulatory Pharmacy", which allows continued hospital treatments at home, in a more comfortable and familiar environment. This is mostly due uderfunding which has hindered recruitment of health professionals as well a growing concern for the comfort of patients as they convalesce. The Hospital Ambulatory Pharmacy’s main problems are both recurring stock-outs and over-stocks; the fact that medicines’s delivery routes are not completed, and that medical staff lacks awareness of the techniques to overcome the logistic issues involved. As a methodology, a context analysis was carried out, KPI's were created to quantify the problems and raise health professionals’ awareness of what was happening. Solutions for storage were analysed and visits were made to a central hospital to analyse the solutions adopted to solve the same problems. The most appropriate inventory management policies were considered for the organization of existing and further resources. We chose to create an Advanced Warehouse with Level Replenishment. The levels were defined considering the demand of each medicine and divided into three different classes to use the best strategy for each type of demand. Then, and with the help of the LHU IT team, the inventory management module of the information system was parameterized, so stock replenishment could be done electronically. All these changes resulted in a 30 % reduction in stock-out. At the beginning of the study, stock-outs would reach peaks of 6 %. These were reduced to 4.5 % at a point at which professionals were already more aware of the logistic problem, and finally to 1.5 %, in the final phase, at a time when the proposal had already been implemented. Over-stock was reduced by 66 %. Delivery routes were stipulated, and compliance was verified. A novel service developed to increase the well-being of patients monitored at home which it is intended to improve the service provided to the users and at the same time reduce operational costs.As a contribution to the knowledge, in addition to the case study presented to be a novelty in terms of scientific articles published because it is a service implemented in the distribution of medications to patients at home, mostly with oncologic diseases. Several methods from Lean Thinking were used, such as, Kanban System and Advanced Warehouse for inventory management levelling and optimization techniques, as well as, operational KPIs, with the purpose to reach out the improvement of program planning and evaluation. This approach resulted in some improvements, namely, the increase of the quality of the healthcare services for the population. And, in terms to reduce stock and excess stock-outs, to reduce inventory costs, setting the delivery routes, raising the entire medical team’s awareness of the problem and committing to optimization a reality.     

基于应收票据管理的NRF—LC物流金融模式研究

本文以加速中小型物流企业的资金周转和费用结算为研究目标，提出了一种基于应收票据管理的物流金融创新模式（NRF-LC服务模式），设计了该融资模式的结构和关键流程，分析了相应的利益相关者的角色作用，并将NRF-LC物流金融模式与成熟的仓单质押模式做了比较。本文的研究是物流金融模式创新的尝试，为物流与资金流的整合运营提供了可行的方案，可以有效地提升物流业务利益相关者的综合经济效益。     

Impact of Storage Assignment Decisions on a Bucket Brigade Order Picking Line

Bucket brigade order picking is a method for retrieving orders from a storage rack where workers follow a fixed sequence and dynamically adjust to variability in work content along the rack. The method is simple and has been shown to provide superior performance in many applications. In this article, we analyze how the location in which products are stored in the rack affects throughput. We identify conditions where storage decisions have a large impact on throughput (e.g., a 20% increase in productivity) and conditions where the impact is minimal. Conditions associated with high impact are high variation in worker skill, high variation in SKU volume, and a moderate level of walking‐to‐picking work content per pick list.