| Issue |
SHS Web of Conf.
Volume 92, 2021
The 20th International Scientific Conference Globalization and its Socio-Economic Consequences 2020
|
|
|---|---|---|
| Article Number | 08023 | |
| Number of page(s) | 10 | |
| Section | Economic Sustainability | |
| DOI | https://doi.org/10.1051/shsconf/20219208023 | |
| Published online | 13 January 2021 | |
Simulation as a Tool for Process Optimization in a Manufacturing Company
1 University of Zilina, Faculty of Operation and Economics of Transport and Communications, Department of Economics, Univerzitna 1, 010 26 Zilina, Slovakia
2 SOVA Digital a. s., Bojnicka 3, 831 04 Bratislava, Slovakia
3 University of Zilina, Faculty of Operation and Economics of Transport and Communications, Department of Quantitative Methods and Economic Informatics, Univerzitna 1, 010 26 Zilina, Slovakia
* Corresponding author: zdenka.vidrova@fpedas.uniza.sk
Research background: In today’s global world and many major market players, companies are forced to streamline and optimize their processes. They can use many methods for this purpose. One of the modern and innovative methods is process simulation. Simulation is experimenting with a computer model of a real production system in order to optimize the production process.
Purpose of the article: The purpose of this article is to point out how it is possible to optimize processes in a manufacturing plant using a simulation tool.
Methods: The main methods used were mainly method of analysis and simulation software Tecnomatix Plant Simulation, version 15.0.5 from Siemens company. The authors used the method of analysis both in the processing of the theoretical basis of the problem, as well as in the analysis of processes in the manufacturing company. This analysis provided important information inputs for creating a simulation model that reflects the current state of material flows in the company.
Findings & Value added: The results were obtained based on performed experiments with the created initial model of the current state of material flows. These experiments were performed using a tool of genetic algorithms that are part of the simulation software. The parameter that was assessed in the individual experiments was the production time of the entire production plan. Based on the process simulation, it was possible to reduce this time, which increased the production efficiency and throughput of material flows in the production plant.
Key words: simulation / optimization of processes / genetic algorithms / model of logistics flows / innovation
© 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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