Title :
Applying Semantic Web technologies for efficient preparation of simulation studies in manufacturing
Author :
Rabe, Markus ; Gocev, P.
Author_Institution :
Tech. Univ. Dortmund, Dortmund, Germany
Abstract :
This paper addresses methods for the preparation of simulation studies in the manufacturing domain. The approach builds on an existing Semantic Web Platform for Modeling and Simulation that supports planning and simulation projects especially during information preparation and results evaluation. A new platform module was developed in order to support simulation project members in the early phase, especially in the provision of information as well as in the rapid capacity analysis. The module integrates the constraints that have to be considered during the definition and calculation of different solution scenarios. These constraints are built as semantic rules utilizing the predicate logic and the Semantic Web technologies.
Keywords :
digital simulation; formal logic; manufacturing systems; production planning; semantic Web; semantic networks; information preparation; manufacturing domain; platform module; predicate logic; project planning; project simulation; rapid capacity analysis; semantic Web platform; semantic Web technology; semantic rules; simulation project members; simulation study; Analytical models; Data models; Manufacturing systems; Ontologies; Semantic Web; Semantics;
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2012 Winter
Conference_Location :
Berlin
Print_ISBN :
978-1-4673-4779-2
Electronic_ISBN :
0891-7736
DOI :
10.1109/WSC.2012.6465185