Production plant layout planning supported by selected CAx tools and artificial intelligence

The paper presents production plant layout planning techniques on the basis of selected Digital Tools (DTs) utilization including generative artificial intelligence (AI). The authors studied possible techniques that can be used in production plant planning and researched their implementations on the basis of three defined production cells and lists of machine tools assigned to each cell. The usage of 2D and 3D Computer-Aided Design (CAD) software tools such as LibreCAD and FreeCAD was studied. The CAD software was applied for the design of layout using traditional CAD modelling procedures and also by the AI support. Moreover, Matlab(TM) software usage was presented as an alternative planning solution. It demonstrated opportunities resulting from automated code creation in the ChatGPT(TM). The ChatGPT(TM) and Visual Studio Code(TM) were applied as tools supporting the AI-assisted layout design methodology. The performed study revealed that artificial intelligence support and utilization of DTs may contribute to the production plant planning process by the collaborative implementation of various software DTs.

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Publication Details

Journal
Advances in Mechanical and Materials Engineering
Published
2025-01-01
DOI
https://doi.org/10.7862/rm.2025.8
Citations
1
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
1.24

Funders

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article

Production plant layout planning supported by selected CAx tools and artificial intelligence

Artur Bełzo, Roman Wdowik
1 citations
Advances in Mechanical and Materials Engineering
Advanced Manufacturing and Logistics Optimization
1.24
article

Production plant layout planning supported by selected CAx tools and artificial intelligence

Artur Bełzo, Roman Wdowik
article en
1 citations

Abstract

The paper presents production plant layout planning techniques on the basis of selected Digital Tools (DTs) utilization including generative artificial intelligence (AI). The authors studied possible techniques that can be used in production plant planning and researched their implementations on the basis of three defined production cells and lists of machine tools assigned to each cell. The usage of 2D and 3D Computer-Aided Design (CAD) software tools such as LibreCAD and FreeCAD was studied. The CAD software was applied for the design of layout using traditional CAD modelling procedures and also by the AI support. Moreover, Matlab(TM) software usage was presented as an alternative planning solution. It demonstrated opportunities resulting from automated code creation in the ChatGPT(TM). The ChatGPT(TM) and Visual Studio Code(TM) were applied as tools supporting the AI-assisted layout design methodology. The performed study revealed that artificial intelligence support and utilization of DTs may contribute to the production plant planning process by the collaborative implementation of various software DTs.

Advances in Mechanical and Materials EngineeringVol. 42
Rzeszów University of Technology (PL)
European Commission
Openalex Percentile: Top 21%
Advanced Manufacturing and Logistics Optimization
1.24
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Production plant layout planning supported by selected CAx tools and artificial intelligence — Artur Bełzo, Roman Wdowik · Advances in Mechanical and Materials Engineering (2025) | TGRS Research Map | TGRS