IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i7p3682-d524442.html
   My bibliography  Save this article

Evaluation of eMaintenance Application Based on the New Version of the EFQM Model

Author

Listed:
  • Renata Turisová

    (Department of Safety and Quality Production, Faculty of Mechanical Engineering, Technical University of Kosice, Letná 1/9, 042 00 Košice-Sever, Slovakia)

  • Hana Pačaiová

    (Department of Safety and Quality Production, Faculty of Mechanical Engineering, Technical University of Kosice, Letná 1/9, 042 00 Košice-Sever, Slovakia)

  • Zuzana Kotianová

    (Department of Safety and Quality Production, Faculty of Mechanical Engineering, Technical University of Kosice, Letná 1/9, 042 00 Košice-Sever, Slovakia)

  • Anna Nagyová

    (Department of Safety and Quality Production, Faculty of Mechanical Engineering, Technical University of Kosice, Letná 1/9, 042 00 Košice-Sever, Slovakia)

  • Michal Hovanec

    (Department of Aviation Engineering, Faculty of Aeronautics, Technical University of Kosice, Rampová 7, 041 21 Kosice, Slovakia)

  • Peter Korba

    (Department of Aviation Engineering, Faculty of Aeronautics, Technical University of Kosice, Rampová 7, 041 21 Kosice, Slovakia)

Abstract

Maintenance management is connected with two opposing aspects, management costs and operational efficiency. With the implementation of new technology within the Industry 4.0 (I4.0) concept, new technical solutions are being created. These solutions (mainly robotic workplaces) must reach a maximum performance rate, production quality, and, of course, high availability. Their operation, during the whole life cycle, is expected to be absolutely safe with minimum maintenance costs. These trends, even though they seem to be optimistic, face a lot of problems. The conducted research follows up on the results of previous research aimed at the initial assessment Slovak industrial company readiness status for the I4.0 conception between 2017 and 2019. The aim of the ongoing research was to assess the readiness status in more than 70 industrial organizations in the selected area for the new concept of maintenance management (eMaintenance) and its relation to machinery integrated safety. The research was carried out by questioning, with the structure of individual questions and closed answers stemmed from the self-evaluation according to the new European Foundation for Quality Management (EFQM) Excellence Model (2020). The results of the research were presented to managements of questioned organizations and confirmed the assumptions about a low level of maintenance management transformation to eMaintenance.

Suggested Citation

  • Renata Turisová & Hana Pačaiová & Zuzana Kotianová & Anna Nagyová & Michal Hovanec & Peter Korba, 2021. "Evaluation of eMaintenance Application Based on the New Version of the EFQM Model," Sustainability, MDPI, vol. 13(7), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3682-:d:524442
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/7/3682/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/7/3682/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Wuest, Thorsten & Stahre, Johan, 2020. "Smart Maintenance: a research agenda for industrial maintenance management," International Journal of Production Economics, Elsevier, vol. 224(C).
    2. Cavalcante, Cristiano A.V. & Lopes, Rodrigo S., 2015. "Multi-criteria model to support the definition of opportunistic maintenance policy: A study in a cogeneration system," Energy, Elsevier, vol. 80(C), pages 32-40.
    3. Andrzej Pacana & Dominika Siwiec & Lucia Bednárová, 2020. "Method of Choice: A Fluorescent Penetrant Taking into Account Sustainability Criteria," Sustainability, MDPI, vol. 12(14), pages 1-21, July.
    4. Niklas Johansson & Eva Roth & Wiebke Reim, 2019. "Smart and Sustainable eMaintenance: Capabilities for Digitalization of Maintenance," Sustainability, MDPI, vol. 11(13), pages 1-19, June.
    5. Andreas Felsberger & Gerald Reiner, 2020. "Sustainable Industry 4.0 in Production and Operations Management: A Systematic Literature Review," Sustainability, MDPI, vol. 12(19), pages 1-39, September.
    6. Radosław Miśkiewicz & Radosław Wolniak, 2020. "Practical Application of the Industry 4.0 Concept in a Steel Company," Sustainability, MDPI, vol. 12(14), pages 1-21, July.
    7. Culot, Giovanna & Nassimbeni, Guido & Orzes, Guido & Sartor, Marco, 2020. "Behind the definition of Industry 4.0: Analysis and open questions," International Journal of Production Economics, Elsevier, vol. 226(C).
    8. Renata Turisova & Juraj Sinay & Hana Pacaiova & Zuzana Kotianova & Juraj Glatz, 2020. "Application of the EFQM Model to Assess the Readiness and Sustainability of the Implementation of I4.0 in Slovakian Companies," Sustainability, MDPI, vol. 12(14), pages 1-14, July.
    9. Suárez, Eva & Calvo-Mora, Arturo & Roldán, José L. & Periáñez-Cristóbal, Rafael, 2017. "Quantitative Research On The Efqm Excellence Model: A Systematicliterature Review (1991–2015)," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 23(3), pages 147-156.
    10. Guangbin Wang & Huan Liu & Heng Li & Xiaochun Luo & Jiaxi Liu, 2020. "A Building Project-Based Industrialized Construction Maturity Model Involving Organizational Enablers: A Multi-Case Study in China," Sustainability, MDPI, vol. 12(10), pages 1-35, May.
    11. Krzysztof Ejsmont, 2021. "The Impact of Industry 4.0 on Employees—Insights from Australia," Sustainability, MDPI, vol. 13(6), pages 1-31, March.
    12. Dag Øivind Madsen, 2019. "The Emergence and Rise of Industry 4.0 Viewed through the Lens of Management Fashion Theory," Administrative Sciences, MDPI, vol. 9(3), pages 1-25, September.
    13. Damjan Maletič & Matjaž Maletič & Basim Al-Najjar & Boštjan Gomišček, 2020. "An Analysis of Physical Asset Management Core Practices and Their Influence on Operational Performance," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jaroslava Kádárová & Peter Trebuňa & Laura Lachvajderová, 2021. "Model for Optimizing the Ratios of the Company Suppliers in Slovak Automotive Industry," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    2. Dominika Siwiec & Andrzej Pacana, 2021. "Model Supporting Development Decisions by Considering Qualitative–Environmental Aspects," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    3. Andrea Sütőová & Katarína Teplická & Martin Straka, 2022. "Application of the EFQM Model in the Education Institution for Driving Improvement of Processes towards Sustainability," Sustainability, MDPI, vol. 14(13), pages 1-15, June.

    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. Yunus Zengin & Serkan Naktiyok & Erdoğan Kaygın & Onur Kavak & Ethem Topçuoğlu, 2021. "An Investigation upon Industry 4.0 and Society 5.0 within the Context of Sustainable Development Goals," Sustainability, MDPI, vol. 13(5), pages 1-16, March.
    2. Solomon Dargie Chekole & Walter Timo de Vries & Pamela Durán-Díaz & Gebeyehu Belay Shibeshi, 2020. "Performance Evaluation of the Urban Cadastral System in Addis Ababa, Ethiopia," Land, MDPI, vol. 9(12), pages 1-14, December.
    3. Saihi, Afef & Ben-Daya, Mohamed & As'ad, Rami, 2023. "Underpinning success factors of maintenance digital transformation: A hybrid reactive Delphi approach," International Journal of Production Economics, Elsevier, vol. 255(C).
    4. Simona Slivkova & Lenka Brumarova & Barbora Kluckova & Jiri Pokorny & Katerina Tomanova, 2021. "Safety of Constructions from the Point of View of Population Protection in the Context of Industry 4.0 in the Czech Republic," Sustainability, MDPI, vol. 13(17), pages 1-20, September.
    5. Meindl, Benjamin & Ayala, Néstor Fabián & Mendonça, Joana & Frank, Alejandro G., 2021. "The four smarts of Industry 4.0: Evolution of ten years of research and future perspectives," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    6. Laubengaier, Désirée A. & Cagliano, Raffaella & Canterino, Filomena, 2022. "It Takes Two to Tango: Analyzing the Relationship between Technological and Administrative Process Innovations in Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    7. Monshizadeh, Fatemeh & Sadeghi Moghadam, Mohammad Reza & Mansouri, Taha & Kumar, Maneesh, 2023. "Developing an industry 4.0 readiness model using fuzzy cognitive maps approach," International Journal of Production Economics, Elsevier, vol. 255(C).
    8. Dominika Siwiec & Andrzej Pacana, 2021. "A Pro-Environmental Method of Sample Size Determination to Predict the Quality Level of Products Considering Current Customers’ Expectations," Sustainability, MDPI, vol. 13(10), pages 1-22, May.
    9. Dinara Dikhanbayeva & Akmaral Tokbergenova & Yevgeniy Lukhmanov & Essam Shehab & Zbigniew Pastuszak & Ali Turkyilmaz, 2021. "Critical Factors of Industry 4.0 Implementation in an Emerging Country: Empirical Study," Future Internet, MDPI, vol. 13(6), pages 1-25, May.
    10. Colombari, Ruggero & Geuna, Aldo & Helper, Susan & Martins, Raphael & Paolucci, Emilio & Ricci, Riccardo & Seamans, Robert, 2023. "The interplay between data-driven decision-making and digitalization: A firm-level survey of the Italian and U.S. automotive industries," International Journal of Production Economics, Elsevier, vol. 255(C).
    11. Thuy Duong Oesterreich & Julian Schuir & Frank Teuteberg, 2020. "The Emperor’s New Clothes or an Enduring IT Fashion? Analyzing the Lifecycle of Industry 4.0 through the Lens of Management Fashion Theory," Sustainability, MDPI, vol. 12(21), pages 1-29, October.
    12. Agnieszka A. Tubis & Katarzyna Grzybowska, 2022. "In Search of Industry 4.0 and Logistics 4.0 in Small-Medium Enterprises—A State of the Art Review," Energies, MDPI, vol. 15(22), pages 1-26, November.
    13. Gilberto Santos & Jose Carlos Sá & Maria João Félix & Luís Barreto & Filipe Carvalho & Manuel Doiro & Kristína Zgodavová & Miladin Stefanović, 2021. "New Needed Quality Management Skills for Quality Managers 4.0," Sustainability, MDPI, vol. 13(11), pages 1-22, May.
    14. Alkaraan, Fadi & Elmarzouky, Mahmoud & Hussainey, Khaled & Venkatesh, V.G., 2023. "Sustainable strategic investment decision-making practices in UK companies: The influence of governance mechanisms on synergy between industry 4.0 and circular economy," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    15. Erhan Baran & Tulay Korkusuz Polat, 2022. "Classification of Industry 4.0 for Total Quality Management: A Review," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    16. Auktor, Georgeta Vidican, 2022. "The opportunities and challenges of Industry 4.0 for industrial development: A case study of Morocco's automotive and garment sectors," IDOS Discussion Papers 2/2022, German Institute of Development and Sustainability (IDOS).
    17. Mauro Caselli & Edwin Fourrier-Nicolai & Andrea Fracasso & Sergio Scicchitano, 2024. "Digital Technologies and Firms’ Employment and Training," CESifo Working Paper Series 11056, CESifo.
    18. Mohamed Gaha & Bilal Chabane & Dragan Komljenovic & Alain Côté & Claude Hébert & Olivier Blancke & Atieh Delavari & Georges Abdul-Nour, 2021. "Global Methodology for Electrical Utilities Maintenance Assessment Based on Risk-Informed Decision Making," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    19. Peerally, Jahan Ara & Santiago, Fernando & De Fuentes, Claudia & Moghavvemi, Sedigheh, 2022. "Towards a firm-level technological capability framework to endorse and actualize the Fourth Industrial Revolution in developing countries," Research Policy, Elsevier, vol. 51(10).
    20. Zheng, Deyuan & Song, Hang & Zhao, Chunguang & Liu, Yujiao & Zhao, Wenhao, 2024. "Is it possible for semiconductor companies to reduce carbon emissions through digital transformation? Evidence from China," International Journal of Production Economics, Elsevier, vol. 272(C).

    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:gam:jsusta:v:13:y:2021:i:7:p:3682-:d:524442. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.