Preventive Maintenance and Financial Performance: Serial Mediation of OEE and Productivity in the Paper Industry

Authors

  • Oviyan Patra Universitas Jenderal Achmad Yani
  • Firman Pratama Universitas Jenderal Achmad Yani
  • Evan Nugraha Universitas Jenderal Achmad Yani

DOI:

https://doi.org/10.59261/jequi.v8i3.384

Keywords:

Preventive Maintenance, Overall Equipment Effectiveness (OEE), Productivity, Financial Performance, SEM-PLS

Abstract

Background: The pulp and paper industry is capital-intensive and operates continuously, making equipment availability a critical determinant of corporate performance. Preventive maintenance is often regarded merely as a cost center, despite its significant potential as a strategic value-creating activity.

Objective: This study aims to analyze the influence of preventive maintenance on the financial performance of PT Indah Kiat Pulp and Paper Serang Mill through the serial mediation of Overall Equipment Effectiveness (OEE) and paper machine productivity, offering a novel chain-mediation framework that connects maintenance activities to corporate financial outcomes.

Methods: A quantitative approach was employed using Structural Equation Modeling Partial Least Squares (SEM-PLS) with SmartPLS, based on data from 120 internal respondents collected through a five-point Likert-scale questionnaire and triangulated with company operational and financial data.

Results: All six hypotheses are statistically supported. Preventive maintenance positively affects OEE (β = 0.570); OEE affects productivity (β = 0.601); and productivity affects financial performance (β = 0.514). Serial mediation is confirmed: OEE mediates preventive maintenance → productivity, while productivity mediates OEE → financial performance. Full serial mediation yields an indirect effect of 0.176.

Conclusion: These findings confirm a complete value-creation chain through a novel serial mediation model (preventive maintenance → OEE → productivity → financial performance), extending maintenance management theory by repositioning preventive maintenance as a strategic mechanism for sustainable corporate value creation in capital-intensive manufacturing industries.

Downloads

Download data is not yet available.

References

Achouch, M., Dimitrova, M., Ziane, K., Sattarpanah Karganroudi, S., Dhouib, R., Ibrahim, H., & Adda, M. (2022). On Predictive Maintenance in Industry 4.0: Overview, Models, and Challenges. Applied sciences, 12(16), 8081. https://doi.org/10.3390/App12168081

Al-Gobaisi, S., Al-Nassar, A., & Alkahtani, M. S. (2025). Effect Of Overall Equipment Effectiveness In The Supply Chain Management For A Petrochemical Company In Saudi Arabia : A Case Study. Proceedings Of The 6th African International Industrial Engineering And Operations Management Conference Rabat, 806–813. https://doi.org/10.46254/AF6.20250181

Albulescu, C. T., & Turcu, C. (2022). Productivity, Financial Performance, And Corporate Governance: Evidence From Romanian R&D Firms. Applied Economics, 54(51), 5956–5975. https://doi.org/10.1080/00036846.2022.2056125

Alexander, Y., Putra, F. E., & Sari, P. A. (2024). Implementation Of Total Productive Maintenance On Frame Welding Machine Maintenance Using The Overall Equipment Effectiveness (OEE) Method At PT Electronics Components Indonesia. International Journal Of Innovative Science And Research Technology, 9(6), 353–363.

Asbari, M. (2026). Systematic Literature Review : Implementasi Overall Equipment Effectiveness (OEE) Terhadap Kinerja Industri Manufaktur Di Indonesia. International Journal Of Social And Management Studies, 1(1), 67–88.

Asogwa, J. O., Chike, N. E., & Nkechinyere, C. (2023). Firms in Nigeria. International Journal Of Social Sciences And Management Review, 6(1), 110–138.

Bahçelerli, N. M. (2026). 20 Resource-Based Approach Theory. Theories And Models In Tourism And Hospitality Research, 130.

Barney, J. B. (2018). Why Resource-Based Theory’s Model Of Profit Appropriation Must Incorporate A Stakeholder Perspective. https://doi.org/10.1002/Smj.2949

Bozionelos, N., & Simmering, M. J. (2022). Methodological Threat Or Myth? Evaluating The Current State Of Evidence On Common Method Variance In Human Resource Management Research. Human Resource Management Journal, 32(1), 194–215.

Calandreli, P. R., Valle, P. D., & Deschamps, F. (2025). Maximizing Operational Efficiency With Industry 4.0 Technology: Integrating OEE As A Performance Indicator. The International Journal Of Advanced Manufacturing Technology, 138(3), 855–872. https://doi.org/10.1007/S00170-025-15408-Y

Chaurey, S., Kalpande, S. D., Gupta, R. C., & Toke, L. K. (2021). A Review On The Identification Of Total Productive Maintenance Critical Success Factors For Effective Implementation In The Manufacturing Sector. Journal Of Quality In Maintenance Engineering, 29(1), 114–135. https://doi.org/10.1108/JQME-11-2020-0118

Cruz-Sánchez, O., Cruz-Cázares, C., & Hernandez-Vivanco, A. (2026). Business Model Innovation From Dynamic Capabilities Perspective: A Systematic Literature Review. Journal Of Business Research, 204, 115835.

De Morais Silva, G. J., Moore, S., & Mcdermott, O. (2026). A Systematic Literature Review Of OEE Research: Trends In Performance Metrics And Digital Integration In Manufacturing. The TQM Journal, 38(11), 178–201.

Demir, S., & Uşak, M. (2025). Analyzing The Implementation Of PLS-SEM In Educational Technology Research: A Review Of The Past 10 Years. Sage Open, 15(2). https://doi.org/10.1177/21582440251345950

Duarte, A. L. C. M., & Santiago, S. M. R. S. (2022). Maintenance Practices And Overall Equipment Effectiveness: Testing The Moderating Effect Of Training. Journal Of Quality In Maintenance Engineering, 29(2), 442–459. https://doi.org/10.1108/JQME-04-2021-0033

Erbiyik, H. (2022). Definition Of Maintenance And Maintenance Types With Due Care On Preventive Maintenance. In G. Lambert-Torres, E. L. Bonaldi, & L. E. Oliveira (Eds.), Maintenance Management - Current Challenges, New Developments, And Future Directions (Pp. 1–164). Intechopen. https://doi.org/10.5772/Intechopen.106346

Franke, G., & Sarstedt, M. (2019). Heuristics Versus Statistics In Discriminant Validity Testing: A Comparison Of Four Procedures. https://doi.org/10.1108/Intr-12-2017-0515

Guidotti, D., Pandolfo, L., & Pulina, L. (2025). A Systematic Literature Review Of Supervised Machine Learning Techniques For Predictive Maintenance In Industry 4.0. IEEE Access.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook.

Hair Jr, J. F., Sabol, M., Islam, M. S., & Murshed, F. (2026). Conditional Mediation (Come) Models With PLS-SEM: An Update, Review, And Best-Practice Recommendations. Australasian Marketing Journal, 34(2), 178–191.

Handayani, P., & Suseno. (2026). Analisis Perhitungan Total Produktive Maintenance (TPM) Menggunakan Overall Equipment Effectiveness (OEE) Di PT ABC. Jurnal Ilmiah Research Student, 3(1), 360–368.

Harfoush, A., Fan, Z., Goddik, L., & Haapala, K. R. (2024). A Review Of Ice Cream Manufacturing Process And System Improvement Strategies. Manufacturing Letters, 41, 170–181. https://doi.org/10.1016/J.Mfglet.2024.09.021

Hubley, A. M. (2024). Discriminant Validity. In Encyclopedia Of Quality Of Life And Well-Being Research (Pp. 1847–1850). Springer.

Istan, M., Husainah, N., Dadan, A., & Siswanti, I. (2021). The Effectsof Production and Operational Costs, Capital Structure and Company Growth On The Profitability: Evidence From Manufacturing Industry. Accounting, 7, 1725–1730. https://doi.org/10.5267/J.Ac.2021.4.025

Jurewicz, D., Dąbrowska, M., Burduk, A., Medyński, D., Machado, J., Motyka, P., & Kolbusz, K. (2024). Implementation Of Total Productive Maintenance (TPM) To Improve Overall Equipment Effectiveness (OEE) - Case Study BT - Intelligent Systems In Production Engineering And Maintenance III (A. Burduk, A. D. L. Batako, J. Machado, R. Wyczółkowski, E. Dostatni, & I. Rojek (Eds.); Pp. 543–561). Springer Nature Switzerland.

Khalili, A., Ismail, M. Y., & Ruzman, M. A. (2023). Planned Preventive Maintenance Effects On Overall Equipment Effectiveness: A Case Study In Malaysian Industry. International Journal Of Productivity And Quality Management, 38(3), 332–360. https://doi.org/10.1504/IJPQM.2023.129614

Kirana, A. T., Widiasih, W., Studi, P., Industri, T., Teknik, F., Pumpungan, M., Mortar, R., Losses, S. B., & Mesin, E. (2024). Analisis Perhitungan Overall Equipment Effectiveness (OEE) Untuk Meningkatkan Efisiensi Mesin Haloong (Studi Kasus : PT Benteng Api Technic, Gresik). Jurnal Tekstil, 7(1), 59–68.

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

Liew, C. F., Prakash, J., & Ong, K. S. (2024). Equipment Cost Efficiency: A Comprehensive Metric For Evaluating Operational And Financial Performance In Manufacturing. Manufacturing Letters, 39, 16–19. https://doi.org/10.1016/J.Mfglet.2023.12.002

Liu, H., Wu, S., Zhong, C., & Liu, Y. (2020). The Sustainable Effect Of Operational Performance On Financial Benefits: Evidence From Chinese Quality Awards Winners. In Sustainability (Vol. 12, Issue 5, P. 1966). https://doi.org/10.3390/Su12051966

Mehrabi, S., Mahdad, M., Bijman, J., Cholez, C., Mesa, J. C. P., & Giagnocavo, C. (2025). Microfoundations Of Dynamic Capabilities Enabling Scaling Pathways Of Sustainability‐Oriented Innovation Business Models. Business Strategy And The Environment, 34(1), 849–871.

Monday, E. E. (2021). Impact Of Overall Equipment Effectiveness On Return On Investment In The Nigerian Cement Manufacturing Industry 1 Introduction 2 Research Objectives And Hypotheses 3 Literature Review. Frontiers In Management And Business, 2(1), 87–94. https://doi.org/10.25082/FMB.2021.01.003

Nugroho, I. H., Salahudin, X., & Hilmy, F. (2025). Optimasi Produktivitas Mesin Microfeed Melalui Pendekatan Overall Equipment Effectiveness (OEE): Studi Kasus di Industri Manufaktur. Jurnal Teknologi Dan Manajemen Industri Terapan, 4(1), 63–68.

Samadhiya, A., & Agrawal, R. (2023). Total Productive Maintenance And Sustainability Performance: Resource-Based View Perspective. Benchmarking: An International Journal, 31(7), 2177–2196. https://doi.org/10.1108/BIJ-10-2022-0635

Ringo, M. A. B. S., & Kuriniawan, D. (2022). Penyusunan Prosedur Perawatan Mesin Welding Auto di PT Panasonic Industrial Devices. Jurnal Bisnis Mahasiswa, 2(3), 294-301.

Singh, S., Khamba, J. S., & Singh, D. (2021). Analysis and directions of OEE and its integration with different strategic tools. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 235(2), 594-605. https://doi.org/10.1177/0954408920952624

Singh, S., Agrawal, A., Sharma, D., Saini, V., Kumar, A., & Praveenkumar, S. (2022). Implementation of total productive maintenance approach: Improving overall equipment efficiency of a metal industry. Inventions, 7(4), 119. https://doi.org/10.3390/Inventions7040119

Suseno, B. D., Sugianto, E., Purnamasari, E., & Supriadi, A. (2023). Analysis Of The Application Of Operational Management In Manufacturing Companies In Bandung City: The Effect Of Production Efficiency, Product Innovation, And Customer Satisfaction On Financial Performance. West Science Journal Economic And Entrepreneurship, 1(11), 339–350.

Teece, D. J. (2018). Business Models And Dynamic Capabilities. https://doi.org/10.1016/J.Lrp.2017.06.007

Tehseen, S., Ramayah, T., & Sajilan, S. (2017). Testing and controlling for common method variance: A review of available methods. Journal of management sciences, 4(2), 142-168. https://doi.org/10.20547/Jms.2014.1704202

Tiddens, W., Braaksma, J., & Tinga, T. (2020). Exploring Predictive Maintenance Applications In Industry. Journal Of Quality In Maintenance Engineering, 28(1), 68–85. https://doi.org/10.1108/JQME-05-2020-0029

Tsarouhas, P. H. (2019). Overall Equipment Effectiveness (OEE) Evaluation For An Automated Ice Cream Production Line: A Case Study. International Journal Of Productivity And Performance Management, 69(5), 1009–1032. https://doi.org/10.1108/IJPPM-03-2019-0126

Ullah, R., Molla, S., Siddique, I., & Siddique, A. A. (2023). Optimizing Performance: A Deep Dive Into Overall Equipment Effectiveness (OEE) For Operational Excellence. Journal Of Industrial Mechanics, 8(3), 26–40.

Virk, S. I., Khan, M. A., & Indher, A. A. (2020). Review Of Total Productive Maintenance (TPM) & Overall Equipment Effectiveness (OEE) Practices In Manufacturing Sectors. Proceedings Of The International Conference On Industrial & Mechanical Engineering And Operations Management, 1–11.

Vital, J. C. M., & Lima, C. R. C. (2020). Total Productive Maintenance And The Impact Of Each Implemented Pillar In The Overall Equipment Effectiveness. International Journal Of Engineering And Management Research, 2(2), 142–150.

Zonta, T., Da Costa, C. A., da Rosa Righi, R., De Lima, M. J., Da Trindade, E. S., & Li, G. P. (2020). Predictive Maintenance in The Industry 4.0: A Systematic Literature Review. Computers & Industrial Engineering, 150, 106889. https://doi.org/10.1016/J.Cie.2020.106889

Downloads

Published

2026-08-05