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

• Autorzy: Wdowik Roman , Bełzo Artur

Identyfikatory

DOI

10.7862/rm.2025.8

Warianty tytułu

PL

Projektowanie położenia maszyn na hali produkcyjnej wspomagane wybranymi narzędziami CAx i sztuczną inteligencją

• Języki publikacji: EN

Abstrakty

EN

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, MatlabTM software usage was presented as an alternative planning solution. It demonstrated opportunities resulting from automated code creation in the ChatGPTTM. The ChatGPTTM and Visual Studio CodeTM 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.

PL

Artykuł przedstawia proces projektowania rozmieszczenia maszyn na hali produkcyjnej, w którym wykorzystuje się wybrane programy komputerowe oraz generatywną sztuczną inteligencję (SI). Autorzy przedstawili możliwe techniki, które mogą być wykorzystane podczas projektowania oraz poddali analizie ich zastosowanie na podstawie trzech gniazd produkcyjnych z uwzględnieniem listy obrabiarek. Zastosowano oprogramowanie CAD 2D oraz 3D (LibreCAD i FreeCAD). Oprogramowanie CAD zastosowano w procesie projektowania położenia modeli maszyn–zarówno w sposób tradycyjny jak i uwzględniający sztuczną inteligencję. Przedstawiono także alternatywne wykorzystanie programu MatlabTM. ChatGPTTM oraz program Visual Studio CodeTM wykorzystano jako narzędzia wspomagające projektowanie położenia maszyn przez wykorzystanie sztucznej inteligencji. Oprogramowanie MatlabTM umożliwiło zautomatyzowane opracowywanie wykresów przedstawiających położenie maszyn. Przedstawiona analiza uwidoczniła możliwości zintegrowanego wykorzystania różnych narzędzi w procesie projektowania ich rozmieszczenia na hali produkcyjnej. Dodatkowo zaproponowano w artykule wybrane parametry opisujące ilościowo proces projektowania rozmieszczenia maszyn na hali produkcyjnej.

Słowa kluczowe

EN

production plant; layout planning; artificial intelligence; manufacturing system

PL

hala produkcyjna; projektowanie rozmieszczenia maszyn; sztuczna inteligencja; system wytwarzania

• Wydawca: Oficyna Wydawnicza Politechniki Rzeszowskiej
• Czasopismo: Advances in Mechanical and Materials Engineering
• Rocznik: 2025
• Tom: Vol. 42, nr 1
• Strony: 89--100
• Opis fizyczny: Bibliogr. 31 poz., rys., tab., wykr.

Twórcy

autor

Wdowik Roman

• The Department of Manufacturing Processes and Production Engineering, Rzeszów University of Technology

autor

Bełzo Artur

• The Department of Manufacturing Processes and Production Engineering, Rzeszów University of Technology

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2026).