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Τίτλος: Unifying business objects and system dynamics as a paradigm for developing decision support systems
Συγγραφείς: Gregoriades, Andreas 
Karakostas, Bill 
metadata.dc.contributor.other: Γρηγοριάδης, Αντρέας
Major Field of Science: Social Sciences
Field Category: Economics and Business
Λέξεις-κλειδιά: Business objects;Simulation;System dynamics;Mathematical programming
Ημερομηνία Έκδοσης: 2-Μαΐ-2004
Πηγή: Decision Support System, 2004, vol. 37, no. 2, pp. 307-311
Volume: 37
Issue: 2
Start page: 307
End page: 311
Περιοδικό: Decision Support Systems 
Περίληψη: Due to the market-driven nature of modern organisations, it is important that they can easily adapt to changing business needs. In order to be able to do so, organisations need to employ information systems that exhibit the important characteristic of adaptability. Change, however, is risky because it encompasses unpredictable behaviours. Organisations, in order to minimise this risk, employ decision support systems (DSS) techniques that enable predictions to be made. This paper describes a simulation methodology, based on the combination of business objects and system dynamics that assists organisations in predicting future behaviours. The methodology eliminates the need for duplicate models of enterprise operation and simulation, and introduces a framework that enables the unification of the two in a single model.
URI: https://hdl.handle.net/20.500.14279/14762
ISSN: 01679236
DOI: 10.1016/S0167-9236(03)00004-6
Rights: © Elsevier
Type: Article
Affiliation: University of Manchester Institute of Science and Technology 
City, University of London 
Publication Type: Peer Reviewed
Εμφανίζεται στις συλλογές:Άρθρα/Articles

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