Model based enterprise simulation and analysis: a pragmatic approach reducing the burden on experts
Conference paper
Kulkarni, V., Clark, T., Barat, S. and Barn, B. 2014. Model based enterprise simulation and analysis: a pragmatic approach reducing the burden on experts. Indulska, M. and Purao, S. (ed.) 33rd International Conference on Conceptual Modeling. Atlanta, United States 27 - 29 Oct 2014 Cham Springer. pp. 3-12 https://doi.org/10.1007/978-3-319-12256-4_1
Type | Conference paper |
---|---|
Title | Model based enterprise simulation and analysis: a pragmatic approach reducing the burden on experts |
Authors | Kulkarni, V., Clark, T., Barat, S. and Barn, B. |
Abstract | Modern enterprises are complex systems operating in highly dynamic environments. The time to respond to the various change drivers is short and the cost of incorrect decisions is prohibitively high. Modern enterprises tend to exist in silos leading to fragmented knowledge with little support available for composing the fragments. Current practice places a heavy burden on experts by requiring a quick and comprehensive solution. This paper proposes a model based approach to this problem in terms of a language to be used for enterprise simulation and analysis that is capable of integrating the ‘what’, ‘how’ and ‘why’ aspects of an enterprise. Possible implementation is also hinted. |
Conference | 33rd International Conference on Conceptual Modeling |
Page range | 3-12 |
Proceedings Title | Advances in Conceptual Modeling ER 2014 Workshops, ENMO, MoBiD, MReBA, QMMQ, SeCoGIS, WISM, and ER Demos, Atlanta, GA, USA, October 27-29, 2014. Proceedings |
Series | Lecture Notes in Computer Science |
Editors | Indulska, M. and Purao, S. |
ISSN | 0302-9743 |
Electronic | 1611-3349 |
ISBN | |
Hardcover | 9783319122557 |
Electronic | 9783319122564 |
Publisher | Springer |
Place of publication | Cham |
Publication dates | |
29 Sep 2014 | |
Online | 10 Oct 2014 |
Publication process dates | |
Deposited | 03 Jun 2015 |
Completed | 2014 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-319-12256-4_1 |
Scopus EID | 2-s2.0-84910624522 |
Web of Science identifier | WOS:000347634000001 |
Language | English |
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