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dc.contributor.authorTaylor, Simon J.E.en_GB
dc.contributor.authorTurner, Stephen J.en_GB
dc.contributor.authorMustafee, Navonilen_GB
dc.contributor.authorStraßburger, Steffenen_GB
dc.date.accessioned2013-02-21T11:06:37Zen_GB
dc.date.accessioned2013-03-19T16:07:44Z
dc.date.issued2012-11-21en_GB
dc.description.abstractIn Operations Research and Management Science (OR/MS), Discrete Event Simulation (DES) models are typically created using commercial simulation packages such as Simul8™ and SLX™. A DES model represents the processes associated with a system of interest; but, in cases where the underlying system is large and/or logically divided, the system may be conceptualized as several sub-systems. These sub-systems may belong to multiple stakeholders, and creating an all-encompassing DES model may be difficult for reasons such as, concerns among the intra- and inter-organizational stakeholders with regard to data/information sharing (e.g., security and privacy). Furthermore, issues such as model composability, data transfer/access problems and execution speed may also make a single model approach problematic. A potential solution could be to create/reuse well-defined DES models, each modeling the processes associated with one sub-system, and using distributed simulation technique to execute the models as a unified whole. Although this approach holds great promise, there are technical barriers. One such barrier is the lack of common ground between distributed simulation developers and simulation practitioners. In an attempt to bridge this gap, this paper reports on the outcome of an international standardization effort, the SISO-STD-006-2010 Standard for Commercial-Off-The-Shelf Simulation Package Interoperability References Models (IRMs). This facilitates the capture of interoperability requirements at a modeling level rather than a technical level and enables simulation practitioners and vendors to properly specify the interoperability requirements of a distributed simulation in their terms. Two distributed simulation examples are given to illustrate the use of IRMs.en_GB
dc.identifier.citationVol. 22, pp. 18 - 18en_GB
dc.identifier.doi10.1145/2379810.2379811en_GB
dc.identifier.urihttp://hdl.handle.net/10036/4349en_GB
dc.language.isoenen_GB
dc.publisherAssociation for Computing Machineryen_GB
dc.subjectDistributed Simulationen_GB
dc.subjectdiscrete event simulationen_GB
dc.subjectcommercial-off-the-shelf simulation packagesen_GB
dc.titleBridging the gap: a standards-based approach to OR/MS distributed simulationen_GB
dc.typeArticleen_GB
dc.date.available2013-02-21T11:06:37Zen_GB
dc.date.available2013-03-19T16:07:44Z
dc.identifier.issn1049-3301en_GB
exeter.article-number4en_GB
dc.descriptionPre-print version. Final version published in ACM Transactions on Modeling and Computer Simulation (TOMACS); available online at http://tomacs.acm.org/en_GB
dc.identifier.eissn1558-1195en_GB
dc.identifier.journalACM Transactions on Modeling and Computer Simulationen_GB


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