Abstract
Managing the great complexity of enterprise system, due to entities numbers, decision and process varieties involved to be controlled results in a very hard task because deals with the integration of its operations and its information systems. Moreover, the enterprises find themselves in a constant changing process, reacting in a dynamic and competitive environment where their business processes are constantly altered. The transformation of business processes into models allows to analyze and redefine them. Through computing tools usage it is possible to minimize the cost and risks of an enterprise integration design. This article claims for the necessity of modeling the processes in order to define more precisely the enterprise business requirements and the adequate usage of the modeling methodologies. Following these patterns, the paper concerns the process modeling relative to the domain of demand forecasting as a practical example. The domain of demand forecasting was built based on a theoretical review. The resulting models considered as reference model are transformed into information systems and have the aim to introduce a generic solution and be start point of better practical forecasting. The proposal is to promote the adequacy of the information system to the real needs of an enterprise in order to enable it to obtain and accompany better results, minimizing design errors, time, money and effort. The enterprise processes modeling are obtained with the usage of CIMOSA language and to the support information system it was used the UML language.
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© 2006 International Federation for Information Processing
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dos Santos, L.R., Silva, S.V., de Campos, R. (2006). Usage of Enterprise Modeling Processes and Information Systems Design to Forecast Demand. In: Tjoa, A.M., Xu, L., Chaudhry, S.S. (eds) Research and Practical Issues of Enterprise Information Systems. IFIP International Federation for Information Processing, vol 205. Springer, Boston, MA. https://doi.org/10.1007/0-387-34456-X_18
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DOI: https://doi.org/10.1007/0-387-34456-X_18
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