Simulation as a Tool for Process Optimization in a Manufacturing Company
Open accessAbstract
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.
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Research works printed but not linked: 12
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Mangngenre, S., Indah, A. B., Syamsul, D., Arief, A., & Novawanda, O. (2025) · Acta Logistica · doi:10.22306/al.v12i1.592 · Cited by 1 · see citing works
“…has become an invaluable asset for analyzing and optimizing production systems, allowing companies to assess different scheduling scenarios, pinpoint bottlenecks, and experiment with alternative scheduling strategies in a virtual environment before implementation in real production settings [5-7].”
- Authors
- Vidrova, Z., Bohus, Z., & Adamko, P.
- Affiliations
- Slovak Organization for Research and Development Activities (SK)
- University of Žilina (SK)
- ORCID
- Adamko, Peter
- Venue
- SHS Web of Conferences
- Publisher
- EDP Sciences
- Published
- 2021
- Volume
- 92
- Pages
- 08023
- ISSN
- 2261-2424 (ISSN-L)
- OpenAlex
- W3120276808
- Cited by
- 1
- References
- 0
- Citations by year
- 2022: 1
- FWCI
- 0.37
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- SHS Web of Conferences (publishedVersion, cc-by)
- Springer Link (Chiba Institute of Technology) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Simulation and Modeling Applications
- Social Sciences › Decision Sciences › Management Science and Operations Research › Simulation Techniques and Applications
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Scheduling and Optimization Algorithms
- Keywords
- process simulation, production process optimization, Tecnomatix Plant Simulation, material flow, production time reduction, genetic algorithm, production efficiency, throughput, production planning
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