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Requirements of a decision support system for capacity analysis and planning in enterprise networks

Title
Requirements of a decision support system for capacity analysis and planning in enterprise networks
Type
Article in International Conference Proceedings Book
Year
2003
Authors
Américo Azevedo
(Author)
FEUP
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Abailardo Moreira
(Author)
Other
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Conference proceedings International
Pages: 177-184
5th International Conference on Enterprise Information Systems, ICEIS 2003
23 April 2003 through 26 April 2003
Indexing
Publicação em ISI Web of Knowledge ISI Web of Knowledge
Other information
Authenticus ID: P-009-YB6
Resumo (PT):
Abstract (EN): Capacity analysis and planning plays a key role in the operational performance and levels of customer services of a company. Traditional capacity analysis and planning systems have become inadequate in the face of several emerging manufacturing paradigms. One such paradigm is the production in distributed enterprise networks, consisting of subsets of autonomous production units within supply chains working in a collaborative and coordinated way. In these distributed networks, capacity analysis and planning becomes a complex task, especially because it is performed in a heterogeneous environment where the performance of individual manufacturing sites and of the network as a whole should be simultaneously considered. Therefore, the use of information system solutions is desirable in order to support effective and efficient planning decisions. Nevertheless, it seems that there is a lack of a clear definition of the most important requirements that must be met by supporting solutions. This paper attempts to identify some general requirements of a decision support system to be used for capacity analysis and planning in enterprise networks. Adaptability of capacity models, computational efficiency, monitoring mechanisms, support for distributed order promising, and integration with other systems, are some important requirements identified.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 8
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