An Integrative Fuzzy FMEA–DEMATEL Approach for Waste Reduction in Lean Implementation in Higher Education Institutions: A Literature Review
Pendekatan Integratif Fuzzy FMEA–DEMATEL untuk Pengurangan Pemborosan dalam Penerapan Lean di Institusi Pendidikan Tinggi: Tinjauan Literatur
DOI:
https://doi.org/10.21070/prozima.v10i1.1770Keywords:
Lean, Higher Education , Waste , Fuzzy FMEA , DEMATELAbstract
Lean philosophy offers higher education institutions (HEIs) opportunities to improve operational efficiency. Implementing Lean Higher Education requires a systematic, structured approach, as waste in HEIs is highly complex and interrelated. This study proposes an integrative framework using fuzzy Failure Mode and Effect Analysis (FMEA) and the Decision Making Trial and Evaluation Laboratory (DEMATEL) methods to evaluate waste in HEIs. A conceptual literature review is employed to synthesize relevant articles aligned with the research objectives and to formulate an integrative fuzzy FMEA–DEMATEL framework. Fuzzy logic is used to reduce subjectivity in waste assessment, and DEMATEL is used to map causal relationships among wastes. The fuzzy FMEA-DEMATEL integration framework offers a solution for identifying and reducing waste in IPT. However, to evaluate the fuzzy FMEA-DEMATEL integration framework resulting from this study, additional empirical validation is needed.
References
[1] S. Khan, A. Dimache, D. Gorman, and C. Gachon, “Lean in Higher Educational Institutes : A Literature Review,” vol. 2024, no. 15, pp. 1–19, 2024.
[2] D. Gómez-Molina and J. Moyano-Fuentes, “Lean management in universities: a systematic literature review,” Int. J. Lean Six Sigma, vol. 13, no. 1, pp. 156–177, 2021, doi: https://doi.org/10.1108/IJLSS-12-2020-0224.
[3] L. P. S. Hartanti, I. Mulyana, and T. Hartiana, “Waste In Higher Education Institution: A Systematic Literature Review,” Int. J. Sci. Technol. Res. Vol., vol. 9, no. 9, pp. 16–22, 2020.
[4] I. J. Mulyana, M. L. Singgih, S. G. Partiwi, and Y. B. Hermanto, “Identification and prioritization of lean waste in Higher Education Institutions (HEI): A proposed framework,” Educ. Sci., vol. 13, no. 2, 2023, doi: 10.3390/educsci13020137.
[5] M. H. Rad, M. Mojtahedi, and M. J. Ostwald, “The Integration of Lean and Resilience Paradigms : A Systematic Review Identifying Current and Future Research Directions,” 2021.
[6] L. M. Alexander and P. G. Saleeshya, “Qualitative analysis of different lean assessment methods : A comprehensive review of applications,” Mater. Today Proc. Vol., vol. 58, no. 1, pp. 387–392, 2022, doi: https://doi.org/10.1016/j.matpr.2022.02.325.
[7] H. Youssef, “Fuzzy Logic for Academic Orientation and Its Impact on Success : Content Analysis FUZZY SET THEORY AND ITS,” no. Bml 2021, pp. 546–551, 2022, doi: 10.5220/0010742200003101.
[8] H. G. Gonzales, “The Influence of Lean Principles on USTP Electro-Mechanical Technology Department Waste Management and Sustainability Efforts : Case Study,” vol. 3, no. 4, pp. 19–24, 2023, doi: 10.47760/cognizance.2023.v03i04.003.
[9] L. L. Klein, M. S. Tonetto, L. V. Avila, and R. Moreira, “Management of lean waste in a public higher education institution,” J. Clean. Prod., vol. 286, p. 125386, 2020, doi: 10.1016/j.jclepro.2020.125386.
[10] M. Helmold, A. Küçük Yılmaz, T. Flouris, T. Winner, V. Cvetkoska, and T. Dathe, “Lean Management in Higher Education (LHE),” Manag. Prof., vol. Part F377, pp. 229–238, 2022, doi: 10.1007/978-3-031-10104-5_17.
[11] M. Shamsuzzaman et al., Improving the admission process in a higher education institute using lean six sigma: a case study, vol. 14, no. 7. 2023. doi: 10.1108/IJLSS-05-2021-0098.
[12] P. I. Schwantz, J. A. Douglas, and A. Douglas, “Types of waste in higher education institutions based on the lean system : development of an assessment instrument,” Int. J. Sustain. High. Educ., 2025, doi: 10.1108/IJSHE-06-2024-0392.
[13] D. Hariyani, P. Hariyani, S. Mishra, and M. K. Sharma, “A literature review on lean tools for enhancing the quality in the outcome-based education system,” Think. Ski. Creat., vol. 57, no. January, 2025, doi: 10.1016/j.tsc.2025.101793.
[14] L. P. S. Hartanti, I. Gunawan, I. J. Mulyana, and H. Herwinarso, “Identification of Waste Based on Lean Principles as the Way towards Sustainability of a Higher Education Institution: A Case Study from Indonesia,” Sustain., vol. 14, no. 7, 2022, doi: 10.3390/su14074348.
[15] S. Zighan and A. EL-Qasem, “Lean thinking and higher education management: revaluing the business school programme management,” Int. J. Product. Perform. Manag., vol. 70, no. 3, pp. 675–703, 2020, doi: 10.1108/IJPPM-05-2019-0215.
[16] I. J. Mulyana, L. P. S. Hartanti, V. A. Herdianto, I. Gunawan, and H. Herwinarso, “Lean Waste Identification in Higher Education Institution Using Waste Assessment Model,” Manag. Syst. Prod. Eng., vol. 30, no. 3, pp. 200–206, 2022, doi: 10.2478/mspe-2022-0025.
[17] Y. Kazancoglu and Y. D. Ozkan-Ozen, “Lean in higher education: A proposed model for lean transformation in a business school with MCDM application,” Qual. Assur. Educ., vol. 27, no. 1, pp. 82–102, 2019, doi: 10.1108/QAE-12-2016-0089.
[18] H. C. Liu, L. J. Zhang, Y. J. Ping, and L. Wang, “Failure mode and effects analysis for proactive healthcare risk evaluation: A systematic literature review,” J. Eval. Clin. Pract., vol. 26, no. 4, pp. 1320–1337, 2020, doi: 10.1111/jep.13317.
[19] G. M. Magableh, A. A. Mumani, S. F. Obaidat, and M. Z. Mistarihi, “Fuzzy-FMEA theory approach for prioritizing supply chain nervousness factors,” Appl. Sci., vol. 14, no. 11, 2024, doi: 10.3390/app14114747.
[20] J. Singh, H. Singh, and B. Singh, Fuzzy-based FMEA – Application. 2020. doi: 10.1108/978-1-83982-142-420201003.
[21] L. D. D. R. Calache, L. G. Zanon, R. F. M. Arantes, L. Osiro, and L. C. R. Carpinetti, “Risk prioritization based on the combination of FMEA and dual hesitant fuzzy sets method,” Production, vol. 31, pp. 1–16, 2021, doi: 10.1590/0103-6513.20200081.
[22] M. Yucesan, M. Gul, and E. Celik, “A holistic FMEA approach by fuzzy-based Bayesian network and best–worst method,” Complex Intell. Syst., vol. 7, no. 3, pp. 1547–1564, 2021, doi: 10.1007/s40747-021-00279-z.
[23] E. de S. Lima, U. R. de Oliveira, M. de C. Costa, V. A. Fernandes, and P. Teodoro, “Sustainability in public universities through lean evaluation and future improvement for administrative processes,” J. Clean. Prod., vol. 382, no. January, pp. 1–10, 2023, doi: 10.1016/j.jclepro.2022.135318.
[24] N. Kadoić, B. Divjak, and N. Begičević Ređep, “Integrating the DEMATEL with the analytic network process for effective decision-making,” Cent. Eur. J. Oper. Res., vol. 27, no. 3, pp. 653–678, 2019, doi: 10.1007/s10100-018-0601-4.
[25] S. Shooshtarian, A. T. Gurmu, and M. N. Mahmood, “Application of the DEMATEL approach to analyse the root causes of building defects,” Qual. Quant., vol. 58, no. 5, pp. 4641–4660, 2024, doi: 10.1007/s11135-024-01872-3.
[26] M. Chi, S. Ren, Y. Xu, Y. Chen, and Y. Wu, “Critical success factors for metaverse implementation in the service industry: A hybrid ISM-DEMATEL approach,” J. Retail. Consum. Serv., vol. 87, no. June, p. 104424, 2025, doi: 10.1016/j.jretconser.2025.104424.
Downloads
Published
How to Cite
License
Copyright (c) 2026 Lusia Permata Sari Hartanti, Ivan Gunawan

This work is licensed under a Creative Commons Attribution 4.0 International License.



