Knowledge-Based Support Systems for Long Range Planning
نویسندگان
چکیده
Long range planning is the process by which an organization assesses its h ture environment and develops specific plans of action to respond to, or change, that environment to achieve its goals. This report presents the results of a study of long range planning practices at one plant of a large US. computer firm, focusing on current and potential decision support systems (DDSs) for the quantitative aspects of the planning process. While it appears that the clerical tasks in the process can be computerized using current DSS technology, this technology does not help managers evaluate the credibility or quality of the plans made. An architecture is described for a system incorporating a much richer store of knowledge about planning variables which would allow the system itself to validate, explain, and justify its results. A concrete realization of such a system, called ROME, has becn designed and is currently under development. Design goals for ROME are presented and potential uses of the system are illustrated.
منابع مشابه
Different Methods of Long-Term Electric Load Demand Forecasting a Comprehensive Review
Long-term demand forecasting presents the first step in planning and developing future generation, transmission and distribution facilities. One of the primary tasks of an electric utility accurately predicts load demand requirements at all times, especially for long-term. Based on the outcome of such forecasts, utilities coordinate their resources to meet the forecasted demand using a least-co...
متن کاملProposing an Appropriate Architecture for Decision Support Systems in the Field of Complex Chronic Care: Micro-Services Based Software Architecture in Kidney Transplant Care
Introduction: Development and successfully implementation of knowledge based clinical decision support system (KBCDSS) in kidney transplantation (KT) could support decision-making, reduce cost and improve quality of care. For practical use of these systems, however, many challenges have to be met. Besides to well-recognized challenges of design and implementation of information systems in heal...
متن کاملProposing an Appropriate Architecture for Decision Support Systems in the Field of Complex Chronic Care: Micro-Services Based Software Architecture in Kidney Transplant Care
Introduction: Development and successfully implementation of knowledge based clinical decision support system (KBCDSS) in kidney transplantation (KT) could support decision-making, reduce cost and improve quality of care. For practical use of these systems, however, many challenges have to be met. Besides to well-recognized challenges of design and implementation of information systems in heal...
متن کاملAn application of principal component analysis and logistic regression to facilitate production scheduling decision support system: an automotive industry case
Production planning and control (PPC) systems have to deal with rising complexity and dynamics. The complexity of planning tasks is due to some existing multiple variables and dynamic factors derived from uncertainties surrounding the PPC. Although literatures on exact scheduling algorithms, simulation approaches, and heuristic methods are extensive in production planning, they seem to be ineff...
متن کاملStrategic Technology Planning in Science-Based Subsectors of Petroleum Industry: The Case Study of R&D Roadmapping for Geochemical Exploration Technologies
Strategic planning of technology in Iran's oil industry has a long history, however, the knowledge-based sectors of the oil industry, despite their different characteristics, have been less exposed to such experiences, and hence the study of the experience in one of the key sub-sectors of this industry, namely the exploration geochemical sector, can be innovative. This article seeks to answer t...
متن کامل