An open source tool for automated input data in simulation
journal contributionposted on 2022-11-23, 09:56 authored by Panagiotis Barlas, CATHAL HEAVEYCATHAL HEAVEY, Georgios Dagkakis
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.
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PublicationInternational Journal of Simulation Modelling;14 (4), pp. 596-608
PublisherD A A A M International Vienna
Other Funding informationERC
Also affiliated with
- Enterprise Research Centre
Department or School
- School of Engineering