Virtual engineering (VE) environment helps to verify process and resource design through visualisation. By using VE, the impacts of re-configurability and new-process additions in the machine stops can be viewed down to the component level. On the other hand, discrete event simulation (DES) typically forecasts the system behaviour over a period of time to predict future performance. During pre-build stages of machines, DES analysis comes with uncertainties, as most of the parameters in the model are based on the assumptions. Therefore, it was aimed to use the validated and verified data, for example ‘process time’ of a machine component available from the VE-emulated systems, in the DES model. Thus, a systematic algorithm was proposed to integrate the VE tool data, with the DES. This article presents the development of a package known as ‘virtual-driven discrete event simulation’ (VDSim), used to establish an integration between the VE and DES domains. The success of this integration depends upon the quality of information and the compatibility of data flow between these independent domains. VDSim integration will help productivity planners and schedulers to get the best possible options for resource selection at stages even when the resource is not physically present.
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
International Journal of Computer Integrated Manufacturing
Volume
28
Issue
8
Pages
844 - 860 (17)
Citation
GHANI, U., MONFARED, R. and HARRISON, R., 2014. Integration approach to virtual-driven discrete event simulation for manufacturing systems. International Journal of Computer Integrated Manufacturing, 28 (8), pp.844-860.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
2014
Notes
This is an Accepted Manuscript of an article published by Taylor & Francis in 'International Journal of Computer Integrated Manufacturing' on 11/06/2014, available online: https://doi.org/10.1080/0951192X.2014.924159.