智能财务分析与决策支持软件的现状与发展

财务软件在经历多年发展之后,决策支持软件(DSS)的引入使财务软件应用达到了一个新的高度。本文通过分析决策支持软件(DSS)的现状与发展,并以实际的软件对比阐述了智能财务软件的发展方向。     

基于数据仓库的汽车配件销售决策支持系统

作为新兴技术的数据仓库,它为决策支持系统（DSS）的发展和全面应用提供了有利的技术基础。文章介绍了一种基于数据仓库技术,用于汽车配件销售DSS,能有效地提高企业的决策水平。     

析宝钢集团公司子公司管理决策支持系统IT“助推器”

DSS（决策支持系统）作为新兴学科之一，近几十年来得到不断的发展和完善。1981年金兹伯格(M.I.Ginzberg)提出：DSS是以计算机为基础．用以在不可能或不希望采用自动化决策系统来完成整个决策过程的情况卞．支持决策话动的信息系统。运用DSS把计算机存储容量大、计算速度快等优势与人的经验、知识、判断结合起来，使之决策更为有效。     

Sequent快速实现DDS

Sequent(思群)计算机系统公司近期发布了Decision Advantage产品家族,该型产品以NUMA(非统一存储器存取)体系结构为基础,将数据仓库和决策支持软件与Sequent咨询服务以及业界领先的NUMA-Q2000企业服务器融为一体。 Sequent Decision Advantage产品可以为数据仓库和决策支持系统(DSS)的设计与创建提供面向过程的系统方法。Sequent通过1997年发布一系列Decision Advantage产品,不断扩大其DSS市场的领先地位,从Proof of Concept(原理验证)到交付完     

决策支持系统的研究与应用

随着计算机、管理以及运筹学等多学科的日益相互渗透与促进,以应用计算机辅助决策过程和提高决策者的决策技能为目标的决策支持系统(DSS 即 Decision Suppoft System)应运而生了。它的出现与发展已经引起了计算机、管理、心理学等各方面专家以及高级决策人员的广泛关注。国外近年来,在 DSS 的理论研究和实际系统的开发两方面都取得了相当的成果。本篇文章拟在综合分析这些研究成果的基础上,对 DSS 的发展作一比较全面和概括的介绍。     

供应商选择的决策支持系统

供应商的选择是供应链管理中至关重要的组成 部分．本文在分析了敏捷制造模式下,供应商选择评估系统的功能需求的基础上,结合决策 支持系统（DSS）的新发展、新技术,提出了供应商选择决策支持系统的一种实现策略．     

联机分析处理技术(OLAP)与决策系统开发工具Light Ship

早期决策支持系统面临着查询速度慢，不能满足随时产生的灵活查询需求系统维护困难、效率低、衫性及可操作性差等一系列问题。而OLAP（O－LineAnalvtcalProcessing）连机分析处理技术的出现导致了DSS系统的新局面，改变了传统企业决策速度慢、灵活性并、欠全面的决策过程，提供了灵活、快速、实时的联机报告分析，满足了不同阶层，不同重点、木同专业的需要，在机会出现时及时把握，共享决策成果。Pilot是一家从事DSS开发已有十多年历史的美国公司，是OLAP技术开发的先驱之一。其中客户／服务器体系下可视化决策系统开发工具Li沙田h…     

宾馆决策支持系统的设计与应用

20世纪70年代，美国麻省理工学院的两位学者首次提出决策支持系统“Decision Support System”这一概念。经过二十多年的发展，DSS越来越广泛地应用到各个行业中，为决策者提供了一个崭新的决策辅助工具。但应用DSS系统有一个前提，就是一个企业必须有可供决策的数据。     

决策支持系统结构框架的研究

该文在分析决策支持系统DSS体系结构的基础上,提出了集成数据仓库、知识仓库、模型仓库作为底部架构的DSS新体系结构,并详细阐述其特色和模型仓库新概念以及实现的关键技术。该架构有效解决了模型同客观事物发展不一致问题,简化了模型获得和编码任务,增强了决策的有效性和智能性,提高了决策的效率,表明了DSS技术发展的趋势。     

银行信贷业务决策支持系统分析与设计初探

我国银行系统现已广泛应用MIS(Management Information System)它提高了信息处理工作效率和管理水平，用计算机支持决策过程，人们称之为决策支持系统——DSS(Decision Support System)，DSS是管理信息系统发展到了高级阶段，是计算机与管理相结合的高级形式。本文旨在探索银行业务DSS的分析方法与设计方法。     

A synopsis of present day practices concerning decision support systems

Selecting a decision support system that fits specific needs, both technically and financially, is a difficult task. The marketplace has been flooded with software bearing the “DSS” label. To provide a clearer picture, the article examines a number of popular DSS definitions and its development. DSS are broken into groups with similar characteristics to examine current software and applications. These groups include Personal Support Systems, DSS and Local Area Networks, DSS and Emulation, Timesharing Systems, Commercial Data Base Systems, and Integrated System. Within each group, current software and practices are reviewed. The potential buyer has the opportunity to compare DSS packages and possible applications. In addition, a list of important questions to ask when choosing DSS Software is included.     

基于数据仓库的决策支持系统的设计与实现

在大型企业中,随着财务信息化建设的发展,积累了大量的财务数据.讨论了如何利用这些数据快速而正确地支持决策.在对数据仓库技术和决策支持系统研究的基础上,提出并实现了一种基于数据仓库技术的决策支持系统(DSS),内容包括系统体系结构、数据仓库模型,联机分析处理(OLAP)策略以及基于门户技术的个性化展示方式,并时系统的关键技术进行了阐述.该系统实现了将企业所掌握的数据转换为信息,进而转换成知识,提高企业决策能力,决策效率、决策准确性.     

Understanding Data-Driven Decision Support Systems

It is important for managers and Information Technology professionals to understand data-driven decision support systems and how such systems can provide business intelligence and performance monitoring. Data-driven DSS is one of five major types of computerized decision support systems and the features of such systems vary across specific implementations. Different development packages also impact the capabilities of data-driven DSS and hence criteria for evaluating data-driven DSS development software are important to understand. Overall, this article builds on an historic foundation of prior decision support systems theory.     

Beyond spreadsheets: tools for building decision support systems

The complexity and long development time inherent in building decision support systems has thus far prevented their wide use. A new class of tools, DSS generators, seeks to cut the lead time between development and deployment. DSS generators provide tools that make it easier and faster to develop models, data, and user interfaces that are customized to the application's requirements. Using a DSS generator reduces DSS development to a decision analysis task-which requires expertise in decision analysis and mathematical modeling-rather than a programming task. DSS generators are crucial to the success of DSSs in practice. We describe the state of the art in DSS generator software, specifically in the realm of decision analysis methods. Decision analysis techniques account for the uncertain, dynamic, and multicriteria aspects of decisions. Essentially, they aid the evaluation of alternatives in the face of trade-offs. Well known decision analysis methods include decision trees and influence diagrams. We briefly describe the features of 11 commercially available DSS generators that specialize in decision analysis. Although not a comprehensive, complete analysis of these tools, the article clarifies the idea of DSS generators as DSS development environments and presents an overview of the progress in this area     

Progress in Web-based decision support technologies

World Wide Web technologies have transformed the design, development, implementation and deployment of decision support systems. This article reviews and summarizes recent technology developments, current usage of Web-based DSS, and trends in the deployment of such systems. Many firms use the Web as a medium to convey information about DSS products or to distribute DSS software. The use of Web-based computation to provide product demonstrations or to deploy DSS applications for remote access remains less common. The academic literature on Web-based DSS is largely focused on applications and implementations, and only a few articles examine architectural issues or provide design guidelines based on empirical evidence.     

A software architecture and framework for Web-based distributed Decision Support Systems

This paper presents an integrated method to help design and implement a Web-based Decision Support Systems (DSS) in a distributed environment. First, a layered software architecture is presented to assist in the design of a Web-based DSS. The layered software architecture can provide a formal and hierarchical view of the Web-based DSS at the design stage. Next, a component-based framework is presented to implement the Web-based DSS in a distributed environment. Finally, an instance of the layered software architecture and 3CoFramework applied to the Web-based National Agricultural Decision Support System (NADSS) is presented.     

Understanding Data-Driven Decision Support Systems

Abstract

It is important for managers and Information Technology professionals to understand data-driven decision support systems and how such systems can provide business intelligence and performance monitoring. Data-driven DSS is one of five major types of computerized decision support systems and the features of such systems vary across specific implementations. Different development packages also impact the capabilities of data-driven DSS and hence criteria for evaluating data-driven DSS development software are important to understand. Overall, this article builds on an historic foundation of prior decision support systems theory.     

An investigation on the nature of decision support system software

Decision Support Systems (DSS) software is investigated and a conceptual model presented in this paper. The purpose of this model is to facilitate a better understanding of the nature of DSS software. The model is composed of six problem transformational processes linking up seven problem phases. The six transformational processes are: problem transforming system, problem mapping system, problem solving system, procedural program generation system, programming language compiling system, and code generation system, by identifying the seven problem phases this hierarchical provides a conceptual foundation for developing DSS software. Spun-off from this model is a framework for implementing knowledge-based DSS with automatic modeling capabilities. The structure of future DSS software to run on fifth generation computers is also addressed.     

基于Web和组件技术的DSS模型设计与实现

决策支持系统(DSS)主要用于帮助企业的领导者进行事件决策和趋势分析。该文将组件技术引入到基于B／S结构的DSS设计中，提出了基于Web技术和组件技术的DSS模型设计与实现策略，并结合某银行基于B／S的决策支持系统实例，具体阐述了模型设计思想和实现步骤。