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An open source tool for automated input data in simulation

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Show simple item record Barlas, Panagiotis Heavey, Cathal Dagkakis, Georgios 2016-08-03T15:28:25Z 2016-08-03T15:28:25Z 2015
dc.description peer-reviewed en_US
dc.description.abstract Discrete Event Simulation (DES) is one of the most effective tools for planning, designing and improving material flows in production. One of the main weaknesses of operating DES is the exertion needed and costs spent on collecting and handling the input data from different organisation's data resources. To tackle the problem of the time consuming input data process for DES projects an Open Source (OS) tool, called Knowledge Extraction (KE) tool was developed. The tool reads data from several organisations' resources; analyses it and outputs it in a format that is applicable to be used by a simulation tool, all conducted in one automated process. The primary, readable to simulation software, output format follows the Core Manufacturing Simulation Data (CMSD). This paper presents the KE tool and a test implementation, as a first step towards the validation of the tool in a real case study in the medical industry. en_US
dc.language.iso eng en_US
dc.publisher D A A A M International Vienna en_US
dc.relation 314364 en_US
dc.relation.ispartofseries International Journal of Simulation Modelling;14 (4), pp. 596-608
dc.subject input data management en_US
dc.subject discrete even simulation en_US
dc.subject open source en_US
dc.title An open source tool for automated input data in simulation en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US 2016-08-03T15:07:21Z
dc.description.version PUBLISHED
dc.contributor.sponsor ERC en_US
dc.relation.projectid 314364 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 1627955
dc.internal.copyrightchecked Yes
dc.description.status peer-reviewed

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