A DSS generator for district planning

This paper describes the experience of the authors in designing a decision support system (DSS) for district planning. The iterative nature of the planning process, the need for flexible analysis of large volume of detailed data, the need for frequent interaction with the database, and the potential use of interactive graphics make the context ideal for design of a DSS. The evolution of a DSS Generator through several stages of software designs is highlighted. A proposal is then made for a DSS Generator which will add enough power to existing software that already provides the flexibility needed to cover many application domains in district planning.     

A decision support system for investment planning on a microcomputer

A Decision System (DSS) for investment planning was designed and implemented for Pohang Iron and Steel Co., Ltd. (POSCO), using a database management system on an MS-DOS micro-computer. This paper outlines the design of an investment DSS which focuses on mid- and long-term investments. It also considers why such an investment DSS is needed at POSCO, discusses problems encountered in designing the DSS, and establishes decision criteria for determining investment priorities. The modelbase proposed uses the concepts of Analytic Hierarchy Process (AHP) and Zero-Base Budgeting (ZBB), along with an appropriate scoring method, database and dialogue system to support the investment manager in evaluating investment proposals. Results of implementing the investment DSS are discussed.     

An effective database formation for decision support systems

Managers' tasks have two aspects: to monitor (control) business activities and to plan the future based upon the monitored results. Thus a decision Support System (DSS) must have two kinds of databases appropriate for its needs.A management database, i.e., one for monitoring activities, is constructed mainly from the existing operational databases. A data cube should be employed for the logical data structure of the management database so that managers can share it and access it in multiple ways.Planning databases, i.e., those for planning activities, are constructed mostly from the management database. A table form should be employed for its logical data structure so that managers will find it easy to use.The management and planning databases should be connected through DSS's system architecture [1]. This makes the operational data (indicating business activities) directly and immediately available for management decision making.We have previously presented the DSS architecture. This paper discusses the management and planning databases from the viewpoint of it.     

Interfacing remote sensing and GIS methods for sustainable rural development

Remote sensing and Geographical Information System (GIS) are two important tools in developmental planning. This study demonstrates their application in sustainable rural development planning especially for people at the grass root level, the farmers, in the Bahal-Singhani area of Bhiwani district, Haryana, in north-western India. A holistic approach was adopted considering the production and the conservation functions of the ecosystem. Remotely sensed data were utilized to assess the natural resources of the area. A thorough analysis of climatic, socio-economic and natural resources conditions was made. A set of rules was formulated and all the information was integrated to prepare realistic action plans. These action plans have found wide acceptance due to their practicability and soundness.     

DSS中的数据库管理子系统分析与应用

文章比较了DSS与MIS在数据管理上的差异,列出了DSS中常用的几种数据管理方法,重点分析了DSS数据库管理子系统的组成和结构,并结合开发实例,说明了建立DSS数据库管理子系统时应考虑的主要问题。     

GFKD—DSS决策支持系统开发工具

GFKD-DSS系统是一个决策支持系统开发工具.它由两大部分组成:管理系统和运行控制系统.管理系统提供DSS管理语言,实现对模型库的管理、模型文件的管理和对数据库的使用.运行控制系统提供DSS核心语言,该语言具有数值计算、数据处理,模型控制、多个模型的组合等多种功能的综合能力.利用本系统能生成国民经济、军事指挥中各种半结构化或非结构化决策问题的决策支持系统.     

Status of informatics technology in Tanzania

Abstract

The Indian cement industry has experienced phenomenal growth in the last decade, following the decontrol of cement in 1989. The degree of competitiveness within the industry has increased significantly. The industry scenario is changing rapidly from an era of shortages to that of surplus. The future scenario for cement industry is likely to be characterized by growing competition, significant corporate thrust on modernization, changing pattern of demand and uncertainties regarding prices as well as growth of demand in a liberalized economy dominated by market forces. Under such dynamic conditions and changing economic environment, the task of forecasting the level and the pattern of demand for cement becomes very important for the industry planning at a macro‐level as well as the corporate planning at the micro‐level. A computer based Decision Support System (DSS) would provide the policy makers with the necessary flexibility to analyze and derive meaningful demand forecasts for cement. Central to our DSS is a model base which has a rich library of forecasting models based on Time Series and Econometric methodology. This DSS is being used by the officers in the planning department at the Cement Manufacturers Association. It is also serving as a permanent model with enough flexibility to incorporate annual variations in the relevant factors affecting cement demand to generate revised and updated estimates on a year to year basis.     

基于KW、MW及DW的决策支持系统架构研究

SDSS是较为先进的决策支持系统，但由于其模型库中的模型固定不变，因此在实际应用中具有一定的局限性。提出了集成数据仓库DW、知识仓库KW和模型仓库MW作为底部架构的体系结构，能有效解决这一问题。该架构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，提高了决策效率。     

烟草业务联机分析处理系统的实现

数据库技术的广泛应用以及数据仓库技术的出现为决策支持系统提供了新的发展方向。联机分析(onlineanalyticalprocessing,简称OLAP)正是在数据仓库的基础上发展起来的一门崭新的决策技术。文章结合某市烟草决策支持系统,介绍了基于联机分析处理技术的烟草数据分析系统的设计思路与实现方法,并对其中关键环节进行了较为详细的探讨与阐述,为联机分析处理技术的实用化提供了可借鉴的成功经验。     

DSS在公路工程计量支付中的应用

论文阐述了DSS在公路工程计量支付中的应用,详细介绍了系统的数据库系统、模型库系统、方法库系统和人机交互界面的设计。该系统能够提供形象的决策分析结果,为公路工程计量支付提供准确、有效的决策支持。     

基于数据挖掘技术的温室决策支持系统

农业领域的专家知识多是描述性和经验性的知识,难以进行精确数学描述,这给农业决策支持系统的构建带来了一定的困难。本文介绍了采用数据库技术和数据挖掘技术构建的温室蔬菜栽培决策支持系统。该系统建立了数据库来记录作物生长过程和温室环境等有关数据,然后通过数据挖掘技术从数据库中获得新的农业知识,以丰富决策支持系统的知识库。在系统的实现过程中,采用了面向对象的编程方法,使软件具有良好的可扩展性,并具有良好的人机交互功能。     

A decision support system for production planning and bid preparation for a small job shop manufacturer

With the advent of the inexpensive micro-computer, small manufacturers have been able to automate many applications in their day-to-day operations. Under the auspices of the State of Missouri “Productivity Improvement Program” - a program to aid small manufacturing businesses in improving their productivity, a Decision Support System (DSS) was developed to assist a small metals manufacturing company in production planning and bid preparation.

The DSS was developed at UMR by a graduate student as part of his master's thesis; the work was funded by both the Productivity Improvement Program and the small manufacturer. After development of the DSS, the graduate student was hired full time for one year to assist the manufacturer in implementing the DSS and to train on site personnel in its operation.

This paper discusses the development of the DSS, its implementation, and its utilization.     

Experience of model integration and Pareto frontier visualization in the search for preferable water quality strategies

A real-life application of a new approach to integrated assessment and screening of water quality improvement strategies in large river basins is presented. The approach is based on the integration of diverse data and mathematical models as well as on the application of interactive visualization of the Pareto frontier. The case study water quality planning in the Oka River, the Volga River basin, is presented within the framework of a DSS for screening water quality planning strategies. The Decision Support System (DSS) was commissioned by the Russian Federal Ministry for Natural Resources within the Federal programme “Revival of the Volga River”.     

决策支持系统与地理信息系统的集成化研究

通过村庄布局优化决策支持系统案例,着重讨论Ｔ ＧＩＳ与 ＤＳＳ的系统集成,介绍了实现 ＤＳＳ与 ＧＩＳ集成的技术,即ＧＩＳ采用独立开发的电子地图引擎,采用与ＤＳＳ相一致的数据管理工具,在较低的层面上实现统一的数据结构和规范的数据交互,从而实现地理信息库与数据库和模型库的有机链接,实现在地图上村庄信息的显示和查询,以及村庄合并搬迁后在地图上的动态变化,使用户的决策活动更直观方便。     

供水调度中实现决策支持的方法研究

针对供水调度系统在决策支持方面的不足,提出了利用SQL Server Analysis Services在OLAP及数据挖掘方面的技术,建立数据仓库、OLAP和数据挖掘3者相结合的决策支持系统的方案。讨论了基于Analysis Services实现供水调度决策支持系统的技术。     

A Decision Support System for a small scale industry in a developing country

This paper describes the design and development of a Decision Support System (DSS) for a small scale manufacturing company in a developing country. The DSS provides a solution for an integrated problem of planning, shopfloor scheduling, and control. The DSS system accepts the demand data with priorities, then uses the information from the imbedded data base system regarding product structure, production process, available resources with the status, and inventory. This in turn is used by the imbedded models to solve planning and scheduling problems, and provide solutions containing job order release, shopfloor scheduling and material requirement report. What if analysis feature provided by DSS allows the managers to incorporate their knowledge and experience to improve the quality of the solution by evaluating different scenarios presented by the manager. The laboratory equipment manufactured by the company is made to order. Product information regarding twenty-two high demand items is incorporated into the data base system, and the scheduling problem is solved for these items. The jobshop is a mixed shop problem containing a flow shop, an open shop, and a flow shop. A heuristic method used for solving this problem is presented.     

基于J2EE电力营销决策支持系统的研究与实现

综合运用了J2EE、数据仓库、联机分析处理、数据挖掘等技术,建立了一个多层次分布式电力营销决策支持系统。该文阐述了该决策支持系统的体系结构,分析了从操作型数据库到数据仓库和数据集市的数据采集模式,实现了Winters模型、一元线性回归以及二元指数平滑等预测模型的设计,从而为电力营销活动提供了重要的决策支持。     

An approach for an integrated DSS for strategic planning

Although Decision Support Systems (DSS) have become widespread in recent years for operational control their use in strategic decision-making has only rarely been seen. This study investigates how DSS technology can be applied in the process of strategic planning. The requirements of Strategic Decision Support Systems (SDSS) are discussed and a conceptual frame for the construction of SDSS is developed. The authors emphasize the integration of both the planning instruments and the corresponding data flows. They present the StratConsult system - a PC-based prototype for supporting strategic sessions. Benefits and drawbacks of SDSS are explored and relevant trends for integrated computer-aided strategic DSS are outlined.     

A fuzzy mixed integer goal programming approach for cooking and heating energy planning in rural India

In this study, a fuzzy mixed integer goal programming model (FMIGP) has been developed for rural cooking and heating energy planning in the Chikhli taluka of Buldhana district, Maharashtra, Central India. The model considers various scenarios such as economical, environmental, social acceptance and local resources to trade off between socio-economical and environmental issues related to cooking and heating energy in two villages namely Malshemba and Muradpur. Due to uncertainty involved in real world energy planning problems, exact input data is impossible to acquire. Hence FMIGP model is used to consider four fuzzy objectives. The solutions provide energy resource allocations at micro level with minimized cost, minimized emission, maximized social acceptance and maximized use of local resources. The proposed approach can handle fuzzy environmental realistic situation and can provide better solution to decision maker for rural energy planning.     

An experimental investigation of factors influencing predicted success in DSS implementation

This paper describes the results of an experiment that examined the effects of four factors hypothesized to influence the predicted success at various stages of the implementation of a proposed Decision Support System (DSS). The setting for the experiment was the development of an interactive financial budget planning and expense tracking system. The experiment was framed using two basic models: the three-stage change process comprising unfreezing, moving, and refreezing; and second, a model for the management of technological change. The four factors studied were: (a) the time allowed for completion of the systems development and implementation effort; (b) the presence or absence of a champion; (c) the ease with which the managerial change required by the proposed system could be reversed; and (d) the level of success in the preceding stage or stages of the change process. The subjects were mid-level managers and staff attending evening MBA classes at the University of Minnesota.