TY - JOUR
T1 - An open source tool for automated input data in simulation
AU - Barlas, P.
AU - Heavey, C.
AU - Dagkakis, G.
N1 - Publisher Copyright:
© 2015, Vienna University of Technology. All right reserved.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Automation
KW - Core manufacturing simulation data
KW - Discrete event simulation
KW - Input data management
KW - Open source
UR - http://www.scopus.com/inward/record.url?scp=84965151400&partnerID=8YFLogxK
U2 - 10.2507/IJSIMM14(4)3.306
DO - 10.2507/IJSIMM14(4)3.306
M3 - Article
AN - SCOPUS:84965151400
SN - 1726-4529
VL - 14
SP - 596
EP - 608
JO - International Journal of Simulation Modelling
JF - International Journal of Simulation Modelling
IS - 4
ER -