Computer simulation of manual operated and robotized technological lines in FlexSim software

• Autorzy: Maliszewski Daniel , Gołda Grzegorz
• Języki publikacji: EN

Abstrakty

EN

The article present current research realized during works on production planning and manufacturing system quality improving with use a methods of computer modelling and simulation techniques. Except that, the functional analysis of simulation software FlexSim are shown in context of manual operated and robotized technological lines. At realized tests, the possibility of the selected application were examined in the optimization of material flow through internal system, especially in the context of automated and robotized medium-series and high volume production. During research two models were created and compared, at the end some conclusions were presented. The article was created on the base of master thesis [1].

Słowa kluczowe

EN

FlexSim; production planning; computer modelling; simulation technique

PL

FlexSim; planowanie produkcji; modelowanie komputerowe; technika symulacji

• Wydawca: Instytut Automatyzacji Procesów Technologicznych i Zintegrowanych Systemów Wytwarzania Politechniki Śląskiej
• Czasopismo: Selected Engineering Problems
• Rocznik: 2019
• Tom: nr 8
• Strony: 49--52
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Maliszewski Daniel

• Department of Engineering Processes Automation and Integrated Manufacturing Systems, The Faculty Of Mechanical Engineering, Silesian University of Technology, Gliwice

autor

Gołda Grzegorz

• Department of Engineering Processes Automation and Integrated Manufacturing Systems, The Faculty Of Mechanical Engineering, Silesian University of Technology, Gliwice

Bibliografia

• 1. Maliszewski D.: Przegląd oprogramowania do symulacji komputerowej. Analiza pakietu symulacyjnego FlexSim na podstawie porównania zrobotyzowanej oraz niezrobotyzowanej linii technologicznej /Review of computer simulation software. Analysis of the FlexSim simulation package based on a comparison of a robotic and non-robotic technological line./ Master thesis (supervisor: phd. eng. Grzegorz Gołda), Gliwice, 2018.
• 2. Rodic B.: Industry 4.0 and the new simulation modelling paradigm. Organizacija, Vol. 50, Issue 3, De Gruyter Open, 2017, pp. 193-207.
• 3. A fresh approach to simulation education (https://www.flexsim.com/ftp/textbook/backgroundFiles/SimulationEducation.pdf - access: 10.12.2018).
• 4. Gołda G., Kampa A. Foit K.: Study of inter-operational breaks impact on materials flow in flexible manufacturing system. ModTech 2018, Romania, IOP Conference Series, Material Science and Engineering, vol. 400, 1757-8981, pp. 1-6.
• 5. Czerska J.: Podstawowe narzędzia Lean Manufacturing /Basic tools of Lean Manufacturing/, Wydawnictwo LeanQ Team, 2014.
• 6. Kołodziej J., Khan S., Burczyński T.: Advances in intelligent modelling and simulation. Artifical intelligence-based models and techniques in scalable computing, Springer, Berlin 2012.
• 7. Gołda G., Kampa A., Paprocka I.: Analysis of human operators and industrial robots performance and reliability. Management and Production Engineering Review, vol. 9, no. 1, 2018, pp. 24-33.
• 8. Wróbel G.: Symulacja stosowana. Modelowanie i analiza przy wykorzystaniu FlexSim/Applied simulation, modeling and analysis using FlexSim/, Rzeszów-Kraków, Wydawnictwo FlexSim w Polsce, 2012.
• 9. FlexSim User Manual, Version 2018. Technical documentation, tutorial and help of the software

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).