System Engineering and Productivity

System Engineering and Productivity

Integrating Sustainability into Maintenance Strategy Selection: A FUCOM-based Case Study from Automotive Parts Industry

Articles in Press

Document Type : Research Paper

Authors
Hamid Moakedi 1
Fazel Hajizadeh Ebrahimi 2
Majid Soltanmohammadi 3
1 Corresponding author: Assistant Professor, Department of Industrial Engineering, College of Engineering, Qom University of Technology, Qom, Iran
2 Assistant Professor, Department of Industrial Engineering, College of Engineering, Qom University of Technology, Qom, Iran
3 M.Sc., Department of Industrial Engineering, College of Engineering, Qom University of Technology, Qom, Iran
10.22034/sep.2025.2074271.1408
Abstract
This study aimed to identify and prioritize maintenance strategies for production systems based on sustainability principles in the automotive parts industry. The present study is applied in terms of purpose and descriptive-survey in terms of data collection. Using literature review and expert opinions, sustainability criteria were identified and confirmed via the Delphi method within four dimensions: economic, social, environmental, and technical. The weights of the main criteria and sub-criteria were then calculated using the FUCOM multi-criteria decision-making method. Finally, seven maintenance strategies were ranked using the SAW and TOPSIS techniques. The statistical population consisted of four automotive parts manufacturing companies, and data were collected through questionnaires and surveys from 10 experts. The findings revealed that among the sustainability dimensions, the social dimension held the highest priority, followed by the economic, technical, and environmental dimensions. Among the sub-criteria, "Decommissioning worn-out equipment and replacing it with green equipment" ranked first, followed by "Compliance with safety and environmental standards" and "Employee expertise." Regarding the maintenance strategies, the Preventive Maintenance (PM) strategy ranked first, the Total Productive Maintenance (TPM) strategy ranked second, and the Predictive Maintenance (PreM) strategy ranked third. Given the high priority of the social and economic dimensions, it is recommended that managers in the automotive parts industry focus on preventive and total productive maintenance strategies to enhance both productivity and the sustainability of their operations.

Highlights

  • Preventive Maintenance (PM) was selected as the most desirable strategy.
  • The social dimension was identified as the highest priority sustainability aspect.
  • Replacing worn-out equipment with green equipment" was recognized as the most critical criterion.

Keywords
Sustainable Maintenance
Automotive Parts Industry
Multi-Criteria Decision-Making
FUCOM
Maintenance Strategy Selection
Subjects

Copyright © Hamid Moakedi, Fazel Hajizadeh Ebrahimi, Majid Soltanmohammadi

 

License

This article is released under the Creative Commons Attribution (CC BY 4.0) license. Anyone is free to copy, share, translate, and adapt this article for any purpose, whether commercial or non-commercial, as long as proper citation is given to the authors and original publication.

Aghaei, M., & Fazli, S. (2012). Applying a combined approach of DEMATEL and ANP to select the appropriate maintenance and repair strategy (case study: commercial vehicle industry). Industrial Management Perspective, 6, 89-107. (In Persian).
Ahuja, I. P. S., & Khamba, J. S. (2008). Total productive maintenance: literature review and directions. International journal of quality & reliability management, 25(7), 709-756. https://doi.org/10.1108/02656710810890890
Al-Barzemanesh, R. (2011). Selecting the most appropriate maintenance and repair strategy using the fuzzy analytic hierarchy process (case study of Mobarakeh steel transformers in Isfahan), Master's thesis, supervised by Professor Abdolhamid Safai Ghadikkalai. University of Mazandaran, Faculty of Economics and Administrative Sciences. (In Persian).
Chen, C., Liu, Y., Sun, X., Di Cairano-Gilfedder, C., & Titmus, S. (2019). Automobile maintenance prediction using deep learning with GIS data. Procedia CIRP, 81, 447-452. https://doi.org/10.1016/j.procir.2019.03.077
De Campos, R. S., & Simon, A. T. (2019). Insertion of sustainability concepts in the maintenance strategies to achieve sustainable manufacturing. Independent Journal of Management & Production, 10(6), 1908-1931. https://doi.org/10.14807/ijmp.v10i6.939
Franciosi, C., Lambiase, A., & Miranda, S. (2017). Sustainable maintenance: a periodic preventive maintenance model with sustainable spare parts management. IFAC-PapersOnLine, 50(1), 13692-13697. https://doi.org/10.1016/j.ifacol.2017.08.2536
Ghasemi, A. R., Maleki, M. H., Karimi, A. (2015). Prioritizing the development of extra-organizational relations based on cultural values using cluster analysis and analytic hierarchy process. Management of Government Organizations, 3(2), 59-74. (In Persian). https://dor.isc.ac/dor/20.1001.1.2322522.1394.3.0.16.4
Ghavami, S. (2013). Evaluation and selection of appropriate maintenance and repair strategy for press brakes using fuzzy graph network analysis and simulation, Process analysis: Lama Electronics Company. Master's thesis, Ferdowsi University of Mashhad, Iran. (In Persian).
Graisa, M. M. (2011). An investigation into the need and implementation of total productive maintenance (TPM) in Libyan cement industry. Nottingham Trent University (United Kingdom).
Hami, N., Shafie, S. M., Omar, S., Ibrahim, Y. M., Abdulameer, S. S., & Muhamad, M. R. (2020). A review of sustainable maintenance in the manufacturing companies. International Journal of Supply Chain Management, 9(3), 935-944.
Hosseinzadeh, M., Mehregan, M.R., & Ghayim, H. (2019). Sustainable Supply of Rotating Equipment Parts for the Oil Industry Using System Dynamics Metasynthesis and Revealing and Testing Strategic Assumptions. Industrial Management Perspective, 11(3), 9-43. (In Persian). https://doi.org/10.52547/jimp.11.3.9
Ighravwe, D. E. (2022). Assessment of Sustainable Maintenance Strategy for Manufacturing Industry. Sustainability, 14(21), 13850. 1-17. https://doi.org/10.3390/su142113850
Ighravwe, D. E., & Oke, S. A. (2017). A multi-hierarchical framework for ranking maintenance sustainability strategies using PROMETHEE and fuzzy entropy methods. Journal of building pathology and rehabilitation, 2, 1-18. https://doi.org/10.1007/s41024-017-0028-7
Ighravwe, D. E., & Oke, S. A. (2019). A multi-criteria decision-making framework for selecting a suitable maintenance strategy for public buildings using sustainability criteria. Journal of Building Engineering, 24, 100753. https://doi.org/10.1016/j.jobe.2019.100753
Kalashi, F., Mahdavi, I., Tajdin, A., & Rezaeian, J. (2025). Evaluation and selection of suppliers in a viable closed-loop supply chain under mixed uncertainty. System Engineering and Productivity (In Persian). https://doi.org/10.22034/sep.2025.2066007.1355
Kashanian Monfared, N., Safaie, N., & Hosseininezhad, S. J. (2025). A decision-making model for the problem of designing the layout of medical centers considering uncertainty. System Engineering and Productivity, 5(2), 97-118. (In Persian). https://doi.org/10.22034/sep.2025.2049327.1252
Kumar, A., Shankar, R., & Thakur, L. S. (2018). A big data driven sustainable manufacturing framework for condition-based maintenance prediction. Journal of computational science, 27, 428-439. https://doi.org/10.1016/j.jocs.2017.06.006
Mahmud, I., Ismail, I., Abdulkarim, A., Shehu, G. S., Olarinoye, G. A., & Musa, U. (2024). Selection of an appropriate maintenance strategy using analytical hierarchy process of cement plant. Life Cycle Reliability and Safety Engineering, 13(2), 103-109. https://doi.org/10.1007/s41872-024-00249-7
Mashayekhi, A.N., Farhangi, A.A., Momeni, M., & Alidoosti, S. (2005). Investigating key factors affecting the use of information technology in Iranian government organizations: Application of the Delphi method. Modares Ulum Ananisati, 9(3), 191-232. (In Persian).
Modgil, S., & Sharma, S. (2016). Total productive maintenance, total quality management and operational performance: An empirical study of Indian pharmaceutical industry. Journal of Quality in Maintenance Engineering, 22(4), 353-377. https://doi.org/10.1108/JQME-10-2015-0048?urlappend=%3Futm_source%3Dresearchgate
Mohagher, A., Sharafat, A., Asgharizadeh, E., & Mirghafouri, H. (2016). Designing a new model to evaluate the maintenance and repair system in the electrical industry. Scientific-Research Journal of Quality and Productivity of the Iranian Electrical Industry, 5(9), 68-80. (In Persian).
Mohammadfam, I., Shafikhani, A., Shafikhani, A.A., & Ghasemi, F. (2017). Determining an appropriate risk-based maintenance and repair strategy to improve safety indicators. Occupational Health and Safety Quarterly, 7(4), 279-290. (In Persian).
Momeni, M., Fathi, M.R., Karimi Zarchi, M., & Azizollahi, S. (2011), A Fuzzy TOPSIS-Based Approach to Maintenance Strategy Selection: A Case Study, Middle-East Journal of Scientific Research, 8(3), 699-706.
Mousavi Ramezanzadeh, A., & Nazari, M. (2025). Identifying and prioritizing effective nudges for social acceptance of green electricity: A fuzzy Delphi study. System Engineering and Productivity (In Persian). https://doi.org/10.22034/sep.2025.2065794.1352
Nakajima, S. (1988). Introduction to TPM: total productive maintenance. (Translation). Productivity Press, Inc., 1988, 129.
Nardo, M., Converso, G., Castagna, F., & Murino, T. (2021). Development and implementation of an algorithm for preventive machine maintenance. Engineering Solid Mechanics, 9(4), 347-362. https://doi.org/10.5267/j.esm.2021.7.003
Nezami, F. G., & Yildirim, M. B. (2013). A sustainability approach for selecting maintenance strategy. International Journal of Sustainable Engineering, 6(4), 332-343. https://doi.org/10.1080/19397038.2013.765928
Olugu, E. U., Wong, K. Y., Chung Ee, J. Y., & Mammedov, Y. D. (2022). Incorporating sustainability and maintenance for performance assessment of offshore oil and gas platforms: a perspective. Sustainability, 14(2), 807. https://doi.org/10.3390/su14020807
Oudah, M. M., & Kassam, A. E. H. (2025, February). Multi-criteria decision-making approach in maintenance strategy selection: A review and descriptive analysis. In AIP Conference Proceedings (Vol. 3169, No. 1, p. 040023). AIP Publishing LLC. https://doi.org/10.1063/5.0256002
Peng, J., Yang, Y., Bian, H., Zhang, J., & Wang, L. (2022). Optimisation of maintenance strategy of deteriorating bridges considering sustainability criteria. Structure and Infrastructure Engineering, 18(3), 395-411. https://doi.org/10.1080/15732479.2020.1855215
Peng, K. (2018). Equipment management in the post-maintenance era: a new alternative to total productive maintenance (TPM). Productivity Press. https://doi.org/10.4324/9781003054856
Pophaley, M., & Vyas, R. K. (2010). Choice criteria for maintenance strategy in automotive industries. International Journal of Management Science and Engineering Management, 5(6), 446-452. https://doi.org/10.1080/17509653.2010.10671136
Ramezani, K., Darvish Motevalli, M. H., Motamedi, M., & Movahedi, M. M. (2025). Design of a preventive maintenance mathematical model for high-speed press machines. System Engineering and Productivity (In Persian). https://doi.org/10.22034/sep.2025.2067829.1372
Rasouli, R., Moghli, A.R., Rashidi, M. (2014). Designing a Model for Strengthening the Organizational Retention of Knowledge-Based Employees: Using the Delphi Technique. Journal of Career and Organizational Counseling, 6(21), 66-94. (In Persian).
Rizkya, I., Sari, R. M., Syahputri, K., & Tarigan, U. (2021). Evaluation of total productive maintenance implementation in manufacture. In IOP Conference Series: Materials Science and Engineering, Vol. 1122, No. 1, p. 012059. IOP Publishing. https://doi.org/10.1088/1757-899X/1122/1/012059
Sabet Motlaq, M. (2018). Applying the Concept of Rough Set Theory in Multi-Attribute Decision Making Methods for Evaluating and. Selecting the Most Appropriate Maintenance and Repair Strategy, Strategic Management Research, 24(70), 65-89. (In Persian). https://doi.org/10.22059/jitm.2017.61419
Sadeghi, A., & Alborzi Manesh, R. (2012), The application of fuzzy group Analytic Network Process to selection of best maintenance strategy- A case study in Mobarakeh. Procedia - Social and Behavioral Sciences, 62, 1378-1383. https://doi.org/10.1016/j.sbspro.2012.09.236
Sahoo, S. (2018). An empirical exploration of TQM, TPM and their integration from Indian manufacturing industry. Journal of Manufacturing Technology Management, 29(7), 1188-1210. https://doi.org/10.1108/JMTM-03-2018-0075
Sahoo, S. (2019). Assessment of TPM and TQM practices on business performance: a multi-sector analysis. Journal of Quality in Maintenance Engineering, 25(3), 412-434. https://doi.org/10.1108/JQME-06-2018-0048
Sahoo, S., & Yadav, S. (2020). Influences of TPM and TQM practices on performance of engineering product and component manufacturers. Procedia Manufacturing, 43, 728-735. https://doi.org/10.1016/j.promfg.2020.02.111
Shahrjerdi, R., & Ghorbanpour, M. (2023). Evaluation of maintenance strategies of physical assets of service companies with a green approach using fuzzy analytic hierarchy process, case study: Tehran Province Water and Wastewater Company. Water and Wastewater Science and Engineering, 8(4), 70-84. (In Persian). https://doi.org/10.22112/jwwse.2023.378307.1340
Shakerikenari, E., & Safaei Ghadikalai, A.H. (2019). Determining Maintenance and Repair Strategies Using a Multi-Stage Fuzzy Inference System (Case Study: Shahid Salimi Neka Power Plant). Industrial Management Studies, 17(54), 291-325. (In Persian). https://doi.org/10.22054/jims.2017.21543.1754
Shams, H., Hashemzadeh Khorasgani, G. R., Abbaspour Esfadan, G., Farsijani, H., & Shahmansouri, A. (2025). Presentation of a mathematical model to examine the economic advantages of maintenance strategies. System Engineering and Productivity, 5(2), 17-33. (In Persian). https://doi.org/10.22034/sep.2025.2051634.1264
Sharafat, A. & Mohqer, A. (2018). Designing a Mechanism for Selecting an Appropriate Maintenance and Repair Strategy. Industrial Management Perspective, 8(30), 31-69. (In Persian).
Tabatabaei, S.A., & Davoudi, S.M.R. (2018). Ranking of maintenance and repair strategies in production systems considering sustainable development principles using fuzzy TOPSIS method (case study: Saba Steel). Fourth International Conference on Management, Entrepreneurship and Economic Development, Takestan. (In Persian).
Taghavifard, M.T., Khani, A.M., & Bayrami, S. (2023). Total Quality Management: Principles, Methods and Applications (First Edition). Tehran: Senior Authored Educational Publishing House. (In Persian). https://doi.org/10.1201/9781003053156
Taghipour, R. & Awkh Darestani, S. (2018). Maintenance Strategy Selection using Fuzzy Hierarchical Approach. Quarterly Scientific-Research Journal of Industrial Management Studies, 16(50), 193-228. (In Persian). https://doi.org/10.22054/jims.2018.9111
Taherdoost, H. (2016). Validity and reliability of the research instrument; how to test the validation of a questionnaire/survey in a research. International journal of academic research in management (IJARM), 5. https://dx.doi.org/10.2139/ssrn.3205040
Wątrobski, J., Bączkiewicz, A., & Rudawska, I. (2023), A Strong Sustainability Paradigm based Analytical Hierarchy Process (SSP-AHP) method to evaluate sustainable healthcare systems, Ecological Indicators, 154(110493), 1-27. https://doi.org/10.48550/arXiv.2306.00718
Xia, T., Xi, L., Du, S., Xiao, L., & Pan, E. (2018). Energy-oriented maintenance decision-making for sustainable manufacturing based on energy saving window. Journal of Manufacturing Science and Engineering, 140(5), 051001. https://doi.org/10.1115/1.4038996
Zakeri Getabi, F. (2014). Investigating Maintenance Strategies and Selecting the Most Appropriate Strategy Using Multi-Criteria Decision-Making Techniques (Case Study of Ghaemshahr Canning Factories). Master's Thesis, Supervised by Professor Abdolhamid Safai Ghadikkalai, University of Mazandaran, Faculty of Economics and Administrative Sciences. (In Persian).
System Engineering and Productivity

Articles in Press, Accepted Manuscript
Available Online from 11 November 2025

  • Receive Date 11 October 2025
  • Revise Date 03 November 2025
  • Accept Date 10 November 2025
  • First Publish Date 11 November 2025
  • Publish Date 11 November 2025