IDEAS home Printed from https://ideas.repec.org/a/vrs/repfms/v29y2021i49p24-35n10.html
   My bibliography  Save this article

Increasing the Efficiency of a Robotic Cell Using Simulation

Author

Listed:
  • Juhás Martin
  • Juhásová Bohuslava
  • Nemlaha Eduard

    (Slovak University Of Technology In Bratislava, Faculty Of Materials Science And Technology In Trnava, Institute Of Applied Informatics, Automation And Mechatronics, Ulica Jána Bottu Č. 2781/25, 917 24Trnava)

  • Charvát Dominik

    (Procus S.R.O., Bukovinská 7316/3, 831 06Rača)

Abstract

The paper deals with the possibilities of increasing the efficiency of a robotic cell. The robot assembly station is a part of a multi-robotic workplace capable of performing solitary operations. The complete production cycle of the cell is subjected to a thorough analysis. Deficiencies, having a direct impact on cell efficiency, are identified. These shortcomings include redundant movements of the robotic arm, the absence of an inspection mechanism for the presence of assembly parts, and inefficient instructions of the production cycle algorithm. The identified deficiencies are eliminated using the CIROS simulation tool. The result of the adjustments is a global 11.4% increase in the efficiency of the robotic cell in terms of time performance.

Suggested Citation

  • Juhás Martin & Juhásová Bohuslava & Nemlaha Eduard & Charvát Dominik, 2021. "Increasing the Efficiency of a Robotic Cell Using Simulation," Research Papers Faculty of Materials Science and Technology Slovak University of Technology, Sciendo, vol. 29(49), pages 24-35, September.
    • Handle: RePEc:vrs:repfms:v:29:y:2021:i:49:p:24-35:n:10
    DOI: 10.2478/rput-2021-0021
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/rput-2021-0021
    Download Restriction: no
    File URL: https://libkey.io/10.2478/rput-2021-0021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zheng, Ting & Ardolino, Marco & Bacchetti, Andrea & Perona, Marco, 2021. "The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 129469, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Ting Zheng & Marco Ardolino & Andrea Bacchetti & Marco Perona, 2021. "The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 59(6), pages 1922-1954, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Govindan, Kannan & Kannan, Devika & Jørgensen, Thomas Ballegård & Nielsen, Tim Straarup, 2022. "Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    2. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    3. Pfaff, Yuko Melanie & Birkel, Hendrik & Hartmann, Evi, 2023. "Supply chain governance in the context of industry 4.0: Investigating implications of real-life implementations from a multi-tier perspective," International Journal of Production Economics, Elsevier, vol. 260(C).
    4. Biman Darshana Hettiarachchi & Stefan Seuring & Marcus Brandenburg, 2022. "Industry 4.0-driven operations and supply chains for the circular economy: a bibliometric analysis," Operations Management Research, Springer, vol. 15(3), pages 858-878, December.
    5. Yang, Li & Zou, Haobo & Shang, Chao & Ye, Xiaoming & Rani, Pratibha, 2023. "Adoption of information and digital technologies for sustainable smart manufacturing systems for industry 4.0 in small, medium, and micro enterprises (SMMEs)," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    6. Qi, Quansong & Xu, Zhiyong & Rani, Pratibha, 2023. "Big data analytics challenges to implementing the intelligent Industrial Internet of Things (IIoT) systems in sustainable manufacturing operations," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    7. Liu, Yanping & Farooque, Muhammad & Lee, Chang-Hun & Gong, Yu & Zhang, Abraham, 2023. "Antecedents of circular manufacturing and its effect on environmental and financial performance: A practice-based view," International Journal of Production Economics, Elsevier, vol. 260(C).
    8. Alok Raj & Anand Jeyaraj, 2023. "Antecedents and consequents of industry 4.0 adoption using technology, organization and environment (TOE) framework: A meta-analysis," Annals of Operations Research, Springer, vol. 322(1), pages 101-124, March.
    9. Somohano-Rodríguez, Francisco M. & Madrid-Guijarro, Antonia, 2022. "Do industry 4.0 technologies improve Cantabrian manufacturing smes performance? The role played by industry competition," Technology in Society, Elsevier, vol. 70(C).
    10. Rodríguez-Espíndola, Oscar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel & Emrouznejad, Ali, 2022. "Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    11. Jose E. Naranjo & Gustavo Caiza & Rommel Velastegui & Maritza Castro & Andrea Alarcon-Ortiz & Marcelo V. Garcia, 2022. "A Scoping Review of Pipeline Maintenance Methodologies Based on Industry 4.0," Sustainability, MDPI, vol. 14(24), pages 1-22, December.
    12. Anlan Chen & Yong Lin & Marcello Mariani & Yongyi Shou & Yufeng Zhang, 2023. "Entrepreneurial growth in digital business ecosystems: an integrated framework blending the knowledge-based view of the firm and business ecosystems," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1628-1653, October.
    13. Benjamin James Ralph & Marcel Sorger & Karin Hartl & Andreas Schwarz-Gsaxner & Florian Messner & Martin Stockinger, 2022. "Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning," Journal of Intelligent Manufacturing, Springer, vol. 33(2), pages 493-518, February.
    14. Grybauskas, Andrius & Stefanini, Alessandro & Ghobakhloo, Morteza, 2022. "Social sustainability in the age of digitalization: A systematic literature Review on the social implications of industry 4.0," Technology in Society, Elsevier, vol. 70(C).
    15. Gastaldi, Luca & Lessanibahri, Sina & Tedaldi, Gianluca & Miragliotta, Giovanni, 2022. "Companies’ adoption of Smart Technologies to achieve structural ambidexterity: an analysis with SEM," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    16. Battaglia, Daniele & Galati, Francesco & Molinaro, Margherita & Pessot, Elena, 2023. "Full, hybrid and platform complementarity: Exploring the industry 4.0 technology-performance link," International Journal of Production Economics, Elsevier, vol. 263(C).
    17. Marco Vacchi & Cristina Siligardi & Erika Iveth Cedillo-González & Anna Maria Ferrari & Davide Settembre-Blundo, 2021. "Industry 4.0 and Smart Data as Enablers of the Circular Economy in Manufacturing: Product Re-Engineering with Circular Eco-Design," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    18. Simon P. Philbin, 2021. "Driving Sustainability through Engineering Management and Systems Engineering," Sustainability, MDPI, vol. 13(12), pages 1-7, June.
    19. Krzysztof Wójcicki & Marta Biegańska & Beata Paliwoda & Justyna Górna, 2022. "Internet of Things in Industry: Research Profiling, Application, Challenges and Opportunities—A Review," Energies, MDPI, vol. 15(5), pages 1-24, February.
    20. Beata Mrugalska & Junaid Ahmed, 2021. "Organizational Agility in Industry 4.0: A Systematic Literature Review," Sustainability, MDPI, vol. 13(15), pages 1-23, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:repfms:v:29:y:2021:i:49:p:24-35:n:10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.