Further building a gis system architecture design strategies for managers pdf is available here. Decision support systems can be either fully computerized, human-powered or a combination of both.
DSS users see DSS as a tool to facilitate organizational processes. A properly designed DSS is an interactive software-based system intended to help decision makers compile useful information from a combination of raw data, documents, and personal knowledge, or business models to identify and solve problems and make decisions. 1950s and early 1960s, and the implementation work done in the 1960s. DSS became an area of research of its own in the middle of the 1970s, before gaining in intensity during the 1980s.
1980s DSS should provide systems “using suitable and available technology to improve effectiveness of managerial and professional activities”, and towards the end of 1980s DSS faced a new challenge towards the design of intelligent workstations. As the turn of the millennium approached, new Web-based analytical applications were introduced. Examples of this can be seen in the intense amount of discussion of DSS in the education environment. Similarly to other systems, DSS systems require a structured approach. Such a framework includes people, technology, and the development approach. Adopting the selected course of action in decision situation.
The actual application that will be used by the user. This is the part of the application that allows the decision maker to make decisions in a particular problem area. The user can act upon that particular problem. An iterative developmental approach allows for the DSS to be changed and redesigned at various intervals.
Once the system is designed, it will need to be tested and revised where necessary for the desired outcome. There are several ways to classify DSS applications. Not every DSS fits neatly into one of the categories, but may be a mix of two or more architectures. DSS into the following six frameworks: text-oriented DSS, database-oriented DSS, spreadsheet-oriented DSS, solver-oriented DSS, rule-oriented DSS, and compound DSS. Personal Support, Group Support, and Organizational Support. DSS can theoretically be built in any knowledge domain.
DSS is extensively used in business and management. Due to DSS all the information from any organization is represented in the form of charts, graphs i. For example, one of the DSS applications is the management and development of complex anti-terrorism systems. Other examples include a bank loan officer verifying the credit of a loan applicant or an engineering firm that has bids on several projects and wants to know if they can be competitive with their costs. 80s and 90s, has allowed rapid assessment of several agricultural production systems around the world to facilitate decision-making at the farm and policy levels. There are, however, many constraints to the successful adoption on DSS in agriculture.
All aspects of Forest management, from log transportation, harvest scheduling to sustainability and ecosystem protection have been addressed by modern DSSs. In this context the consideration of single or multiple management objectives related to the provision of goods and services that traded or non-traded and often subject to resource constraints and decision problems. The Community of Practice of Forest Management Decision Support Systems provides a large repository on knowledge about the construction and use of forest Decision Support Systems. Under a DSS, the Canadian National Railway system managed to decrease the incidence of derailments at the same time other companies were experiencing an increase.