Issue |
MATEC Web Conf.
Volume 343, 2021
10th International Conference on Manufacturing Science and Education – MSE 2021
|
|
---|---|---|
Article Number | 03005 | |
Number of page(s) | 12 | |
Section | Advanced Manufacturing Technologies | |
DOI | https://doi.org/10.1051/matecconf/202134303005 | |
Published online | 04 August 2021 |
Using Digital Twining in Fast-food Production Chain Simulation
1
University Politehnica of Bucharest, Robots and Production System Department, 313 Splaiul Indepedentei, Bucharest, Romania
2
National Research and Development Institute for Gas Turbines COMOTI, 220 D Iuliu Maniu Bd., sector 6, cod 061126, OP 76, CP174, Bucharest, Romania
* Corresponding author: florina.chiscop@upb.ro
The topic of this paper represents our research in the process of creating a virtual model (digital twin) for a fast-food company production chain starting with the moment when a customer launches an order, following with the processing of that order, until the customer receives it. The model will describe elements that are included in this process such as equipment, human resources and the necessary space that is needed to host this layout. The virtual model created in a simulation platform will be a replicate of a real fast-food company, thus helping us observe the real time dynamic of this production system. Using WITNESS HORIZON 23 we will construct the model of the layout based on real time data received from the fast-food company. This digital twin will be used to manage the production chain material flow, evaluating the performance of the system architecture in various scenarios. In order to obtain a diagnosis of the system’s performance we will simulate the workflow running through preliminary architecture in compliance with the real time behaviour to identify the bottlenecks and blockages in the flow trajectory. In the end we will propose two different optimised architectures for the fast-food company production chain.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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