The impact of increasing overall equipment efficiency on corporate profitability

With a focus on small and medium-sized enterprises in the Hungarian automotive industry

Authors

DOI:

https://doi.org/10.14267/VEZTUD.2026.10.02

Keywords:

productivity, overall equipment efficiency, automotive industry, small- and medium-sized enterprises, case study, scenario analysis

Abstract

Productivity is a significant challenge for the Hungarian economy, particularly for small and medium-sized enterprises. The study’s question is how to increase it. It aims to investigate how increasing production process efficiency affects financial performance. The methodology applied is a case study and scenario analysis based on expert interviews. It models how the Overall Equipment Effectiveness indicator and its components impact profitability. Although improving it has a positive impact on costs, one of the main benefits is that it enables an increase in production volume without a change in capacity. The research also highlights the importance of Industry 4.0, as the effectiveness of Overall Equipment Efficiency investments have been previously hindered by the lack of reliable data and the challenges associated with indepth analysis. The research thus also highlights the magnitude of resources worth investing in Industry 4.0 technologies, including the application of data-based, capability-enhancing solutions.

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Author Biographies

  • Andrea Gelei, Corvinus University of Budapest

    professor

  • Annamária Ónodi, Corvinus University of Budapest

    associate professor

References

Acemoglu, D. (2016). The Impact of IT on the Labor Market. Massachusetts Institute of Technology. https://economics.mit.edu/files/12118

Aleš, Z., Pavlů, J., Legát, V., Mošna, F., & Jurča, V. (2019). Methodology of overall equipment effectiveness calculation in the context of Industry 4.0 environment. Eksploatacja i Niezawodność, 21(3), 411-418. https://doi.org/10.17531/ein.2019.3.7

Al Hazza, M.H.F., Ali, M.Y., & Razif, N.F.B.M. (2021). Performance improvement using analytical hierarchy process and Overall Equipment Effectiveness (OEE): Case study. Journal of Engineering Science and Technology, 16(3), 2227-2244.

Balaton, K., & Kerek, J. (2012). A stratégiaalkotás folyamatának jellemzői a 2009. évi kérdőíves felmérés alapján [Műhelytanulmány]. Vállalatgazdaságtan Intézet. https://edok.lib.uni-corvinus.hu/406/1/TM42_Balaton.pdf

Boda, Gy., Fülöp, Z., Révész, T., & Thék, R. (2023). Termelékenység és jövedelmezőség Statisztikai Szemle, 101(6), 479-521. https://doi.org/10.20311/stat2023.06.hu0479

Beugelsdijk, S., Klasing, M.J., & Milionis, P. (2018) Regional economic development in Europe: the role of total factor productivity. Regional Studies, 52(4), 461-476. https://doi.org/10.1080/00343404.2017.1334118

Chand, G., & Shirvani, B. (2000). Implementation of TPM in cellular manufacture. Journal of Materials Processing Technology, 103(1), 149-154. https://doi.org/10.1016/S0924-0136(00)00407-6

Corrales, L.D.C., Lambán, M.P., Hernandez Korner, M.E., & Royo, J. (2020). Overall equipment effectiveness: Systematic literature review and overview of different approaches. Applied Sciences, 10(18), 6469. https://doi.org/10.3390/app10186469

Czakó, E., Juhász, P., & Reszegi, L. (2016). Versenyképesség és export – Vállalati szintű kvalitatív és kvantitatív kutatási eredmények összevetése. Vezetéstudomány, 47(8), 3-14. https://doi.org/10.14267/VEZTUD.2016.08.01

Csath, M. (2022) Gondolatok az ipar jövőjéről és az iparpolitikáról. Köz-Gazdaság, 17(4), 19-35. https://doi.org/10.14267/RETP2022.04.03

Dal, B., Tugwell, P., & Greatbanks, R. (2000). Overall equipment effectiveness as a measure of operational improvement A practical analysis. International Journal of Operations & Production Management, 20(12), 1488-1502 https://doi.org/10.1108/01443570010355750

Dobra, P., & Jósvai, J. (2021a). OEE trendek különböző technológiák esetében az autóipari gyártás területén. Logisztika Trendek és Legjobb Gyakorlatok Kiadvány, 7(1), 12-16. https://doi.org/10.21405/logtrend.2021.7.1.12

Dobra, P., & Jósvai, J. (2021b). OEE measurement at the automotive sem-automatic assembly lines. Acta Technica Jaurinensis, 14(1), 24-35. https://doi.org/10.14513/actatechjaur.00576

European_Commission. (2018). What is an SME? https://ec.europa.eu/growth/smes/sme-definition_en

Fekete, I. (2015). Integrált kockázatmenedzsment a gyakorlatban. Vezetéstudomány, 46(1), 33-46. https://doi.org/10.14267/VEZTUD.2015.01.03

Fodor, T. (2020). Üzleti folyamatok fő mutatószámai: Kpi és más mutatók a gyakorlatban. Underground Kiadó.

Garg, A., & Singh, A.K. (2021). Applications of Internet of Things (IoT) in green computing. In Intelligence of Things: AI-IoT Based Critical-Applications and Innovations (pp. 1-34). Springer International Publishing.

Gelei, A., Ternai, K., & Lengyel, E. (2023). Hazai vállalatok ipar 4.0 felkészültségének értékelése – Modelljavaslat és annak esettanulmányokon keresztül történő vizsgálata. Vezetéstudomány, 54(9), 58-73. https://doi.org/10.14267/VEZTUD.2023.09.05

Gyártástrend (2019). OEE-mérés – az Ipar 4.0 előszobája http://gyartastrend.hu/jovo-gyara/cikk/oee_meres_az_ipar_4_0_eloszobaja

Hansen, R.C. (2001). Overall Equipment Effectiveness. A powerful production/Maintenance tool for increased profits. Industrial Press Inc.

Hassan, M.K. (2022). A New Techno-Economic Real-Time Total Process Performance Indicator. SSRN. http://dx.doi.org/10.2139/ssrn.4920237

Hatipoğlu, S., & Akar, C. (2022). A new scoring approach to calculate overall equipment efficiency: A case study. Verimlilik Dergisi, 3, 499-510. https://doi.org/10.51551/verimlilik.1055354

Hoványi, G. (2007). Az idő aspektusai – Gondolatok az üzleti stratégia és tervezés fejlesztéséhez. Vezetéstudomány, 38(10), 2-23. https://doi.org/10.14267/VEZTUD.2007.10.01

Iannone, R., & Nenni, M.N. (2013). Managing OEE to Optimize Factory Performance. In Schiraldi, M.M. (Ed.), Operations Management (pp. 31-50). IntechOpen. https://doi.org/10.5772/55322

Imre, T. (1996). A szcenárió-tervezés mint a stratégiaalkotás része. Vezetéstudomány, 27(4), 36-52. https://unipub.lib.uni-corvinus.hu/5433/1/VT_1996n4p36.pdf

Jeneiné Gerő, H.E., Kincses, Á., & Tóth, G. (2021). A hazai KKV-k területi jellegzetességei válságok idején. Statisztikai Szemle, 99(12), 1185-1211. https://doi.org/10.20311/stat2021.12.hu1185

Keresztély, T. (2004). Előrejelzés és szcenárióelemzés hosszú távú makromodellel. Statisztikai Szemle, 82(10-11), 919-944. https://real-j.mtak.hu/20972/7/Statisztikai_Szemle_2004_82_10-11_.pdf

Kletti, J. (Ed.). (2007). Manufacturing Execution Systems— MES. Springer.

Kristóf, T. (2002). A szcenárió módszer a stratégiaalkotásban I. rész. Vezetéstudomány, 33(9), 17-27. https://unipub.lib.uni-corvinus.hu/4772/1/VT_2002n9p17.pdf

Latif, S., Driss, M., Boulila, W., Jamal, S.S., Idrees, Z., & Ahmad, J. (2021). Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions. Sensors, 21(22), 7518. https://doi.org/10.3390/s21227518

Lazarova-Molnar, N.S., Mohamed, J., & Al-Jaroodi (2018), Collaborative data analytics for industry 4.0: Challenges, opportunities and models. In Proceedings - 2018 6th International Conference on Enterprise Systems, ES 2018 (pp. 100-107). https://doi.org/10.1109/ES.2018.00023

Leanproduction (2019). OEE (Overall Equipment Effectiveness). https://www.leanproduction.com/oee.html

Liew, C.F., Prakash, J. & Ong, K.S. (2022). Integration of financial performance measure with overall equipment effectiveness for assessing operational performance: a structured literature review. International Journal of Productivity and Quality Management, 37(1), 119-142. https://doi.org/10.1504/IJPQM.2022.126008

Mahmood, K., Lanz, M., Toivonen, V., & Otto, T. (2018): A Performance Evaluation Concept for Production Systems in an SME Network. Procedia CIRP, 72, 603-608. https://doi.org/10.1016/j. procir.2018.03.182

Miragliotta, G., Sianesi, A., Convertini, E., & Distante, R. (2018). Data driven management in Industry 4.0: a method to measure Data Productivity. IFAC-PapersOnLine, 51(11), 19-24.

Monday, E.E. & Ugbomhe, U.O. (2021) Impact of overall equipment effectiveness on return on investment in the Nigerian cement manufacturing industry. Frontiers in Management and Business, 2(1), 87-94. https://doi.org/10.25082/FMB.2021.01.003

MNB (2022). Termelékenységi jelentés 2022 július. MNB. https://www.mnb.hu/kiadvanyok/jelentesek/termelekenysegi-jelentes/termelekenysegi-jelentes-2022-julius

Muchiri, P., & Pintelon, L. (2008) Performance measurement using overall equipment effectiveness (OEE): literature review and practical application discussion, International Journal of Production Research, 46(13), 3517-3535. https://doi.org/10.1080/00207540601142645

Nakajima, S. (1988). Introduction to TPM: total productive maintenance.Productivity Press, Inc. OECD (2022). SMEs and entrepreneurship. https://www.oecd.org/en/topics/smes-and-entrepreneurship.html

Reicher, Regina Zs. (2020). Problems of Small and Medium Enterprises – Here the New Generation!? Advances in Economics, Business and Management Research, 119, 26-31. https://doi.org/10.2991/aebmr.k.200201.006

Reszegi, L., & Juhász P. (2014). A vállalati teljesítmény nyomában / Nem csak tulajdonosoknak és menedzsereknek! Alinea Kiadó.

Reszegi, L., & Juhász, P. (2017). Gátak a magyar vállalati növekedésben. Vezetéstudomány, 48(6-7), 27-38. https://doi.org/10.14267/VEZTUD.2017.06.04

Saez, M., Maturana, F.P., Barton, K., & Tilbury, D.M. (2018). Real-time manufacturing machine and system performance monitoring using internet of things. IEEE Transactions on Automation Science and Engineering, 15(4), 1735-1748. https://doi.org/10.1109/TASE.2017.2784826

Šajdlerová, I., Schindlerová, V, & Kratochvíl J. (2020) Potential and Limits of OEE in the Total Productivity Management. Advances in Science and Technology Research Journal, 14(2), 19-26. https://doi.org/10.12913/22998624/113617

Siregar, I., Muchtar, M.A., Rahmat, R.F., Andayani,U., Nasution, T.H., & Sari, R.M. (2018). Method of calculation overall equipment effectiveness in fertilizer factory. In 10th International Conference Numerical Analysis in Engineering IOP Conf. Series: Materials Science and Engineering 308 012053. https://doi.org/10.1088/1757-899X/308/1/012053

Szerb, L., Varga, A., Sebestyén, T., & Szabó, N. (2019). A vállalkozás szerepe a gazdasági növekedésben Magyarországon. Közgazdasági Szemle, 66(6), 607-634. https://doi.org/10.18414/KSZ.2019.6.607

Tumbajoy, L.M., Muñoz-Añasco, M., & Thiede, S. (2022). Enabling Industry 4.0 impact assessment with manufacturing system simulation: an OEE based methodology. Procedia CIRP, 107, 681-686 https://doi.org/10.1016/j.procir.2022.05.045

Vértesy, L. (2018). A kis- és középvállalati szektor Magyarországon [The small and medium enterprise sector in Hungary] (No. 9 0066). University Library of Munich.

Vijayakumar, S.R., & Gajendran, S. (2014). Improvement of overall equipment effectiveness (OEE) in injection moulding process industry. IOSR Journal of Mechanical and Civil Engineering, 2(10), 47-60. https://www.mtmgroup.it/wp-content/uploads/2014/11/Improvement-of-Overall-Equipment-Effectiveness.pdf

Published

2026-10-15

Issue

Section

Studies and Articles

How to Cite

Gelei, A., & Ónodi, A. (2026). The impact of increasing overall equipment efficiency on corporate profitability: With a focus on small and medium-sized enterprises in the Hungarian automotive industry. Vezetéstudomány Budapest Management Review, 57(10), 20-36. https://doi.org/10.14267/VEZTUD.2026.10.02