Choosing the right supplier is critical in construction supply chain management, as it directly impacts cost, schedule, and material quality. This paper presents a systematic review of the integration of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) with hybrid Multi-Criteria Decision-Making (MCDM) methods for building material supplier selection. Following the PRISMA procedure and quality assessment criteria adapted from CASP, JBI, and Kitchenham et al., only Scopus-indexed articles from 2020–2025 were considered. Out of 227 initial records, seven studies met all inclusion and quality criteria. Results showed increasing use of hybrid MCDM approaches, primarily in Asian contexts. Common weighting techniques included the Analytic Hierarchy Process (AHP), Best–Worst Method (BWM), and rough set theory, while advanced methods such as Rough–Dombi BWM, game-theoretic approaches, fuzzy–rough systems, and Entropy–G1 weighting were used to handle uncertainty and complex decision problems. Fuzzy-based representations, particularly Triangular Fuzzy Numbers, were widely employed, with evaluation criteria focused on cost, quality, risk, sustainability, and delivery performance. Hybrid MCDM–TOPSIS frameworks generally produced more consistent and structured decision outcomes. However, findings are limited due to the small number of studies. Key research gaps include insufficient empirical validation in developing-country contexts, limited incorporation of sustainability factors, and practical challenges related to data quality and computational complexity. Future research should prioritize real-world applications, integrate sustainability more thoroughly, and develop user-friendly decision-support tools for construction practitioners.
Ho, W.; Xu, X.; Dey, P.K. (2010). Multi-criteria decision-making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202, 16–24. https://doi.org/10.1016/j.ejor.2009.05.009.
Chai, J.; Liu, J.N.K.; Ngai, E.W.T. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature. Expert Systems with Applications, 40, 3872–3885. https://doi.org/10.1016/j.eswa.2012.12.040.
Samantra, C.; Datta, S.; Mahapatra, S.S. (2016). Multi-criteria decision making for supplier selection: A literature review. Materials and Manufacturing Processes, 31(4), 522–533. https://doi.org/10.1080/10426914.2015.1017550.
Kuo, R.-J.; Hong, C.-W.; Huang, Y.-C. (2008). PSO–fuzzy neural network–TOPSIS. Applied Soft Computing, 8, 1463–1476. https://doi.org/10.1016/j.asoc.2008.02.013.
Mardani, A.; Jusoh, A.; Zavadskas, E.K.; et al. (2015). Fuzzy multiple criteria decision-making techniques and applications—Two decades review. Expert Systems with Applications, 42(9), 4126–4148. https://doi.org/10.1016/j.eswa.2015.01.003.
Pramesti, N.P.; Setiawan, H. (2025). Pemetaan Penerapan Multi-Criteria Decision Making (MCDM) dalam Strategi Pemeliharaan di Sektor Industri dan Infrastruktur: Analisis Visual dengan VOSviewer. Konferensi Nasional Teknik Sipil (KoNTekS), 2(2). https://doi.org/10.62603/konteks.v2i2.212.
Awasthi, A.; Chauhan, S. (2012). A hybrid approach integrating AHP and TOPSIS for sustainable supplier selection. International Journal of Production Research, 50(19), 5392–5405. https://doi.org/10.1080/00207543.2011.615352.
Kannan, D.; Govindan, K.; Rajendran, S. (2013). Fuzzy AHP–TOPSIS based approach for supplier selection in greener supply chain. Journal of Manufacturing Technology Management, 24(1), 124–142. https://doi.org/10.1108/17410381311292350.
Karimi, A.; Niknamfar, A. (2020). Green supplier selection using a hybrid BWM–TOPSIS approach. Journal of Industrial Engineering International, 16(3), 389–403. https://doi.org/10.1007/s40092-020-00353-8.
Xiong, L.; Zhong, S.; Liu, S.; Zhang, X.; Li, Y. (2020). An approach for resilient-green supplier selection based on WASPAS, BWM, and TOPSIS under intuitionistic fuzzy sets. Mathematical Problems in Engineering, 2020, 1761893, 1–18. https://doi.org/10.1155/2020/1761893.
Alsanousi, A. T.; Alqahtani, A. Y.; Makki, A. A.; Baghdadi, M. A. (2024). A hybrid MCDM approach using the BWM and the TOPSIS for a financial performance-based evaluation of Saudi stocks. Information, 15(5), 258. https://doi.org/10.3390/info15050258.
Zhang, Z.; Liao, H.; Al-Barakati, A.; Zavadskas, E. K.; Antuchevičienė, J. (2020). Supplier selection for housing development by an integrated method with interval rough boundaries. International Journal of Strategic Property Management, 24(4), 269–284. https://doi.org/10.3846/ijspm.2020.12434.
Stević, Ž.; et al. (2019). Sustainable supplier selection using rough SWARA and rough TOPSIS. Information, 10(10), 292. https://doi.org/10.3390/info10100292.
Hesami, F. (2024). A hybrid ANP-TOPSIS method for strategic supplier selection in RL under rough uncertainty: A case study in the electronics industry. Uncertainty Discourse and Applications, 1(1), 41–65. https://doi.org/10.48313/uda.v1i1.25.
Shao, Q.; Liu, S.; Lin, J.; Liou, J. J. H.; Zhu, D. (2025). Green Supplier Evaluation in E-Commerce Systems: An Integrated Rough-Dombi BWM-TOPSIS Approach. Systems, 13(9). https://doi.org/10.3390/systems13090731.
Lei, L.; Yu, S.; Ke, Y.; Deng, L.; Kang, Q. (2025). Evaluation Model for Emergency Material Suppliers in Emergency Logistics Systems Based on Game Theory–TOPSIS Method. Systems, 13(6), 493. https://doi.org/10.3390/systems13060493.
Lai, R.; Liu, S.; Wang, Y. (2025). Optimization of Benefit Distribution in Green Supply Chain for Prefabricated Buildings Based on TFN-TOPSIS-Banzhaf Cooperative Game Theory. Buildings, 15(6), 850. https://doi.org/10.3390/buildings15060850.
Jefroudi, M.T.; Darestani, S.A. (2024). A decision support system for sustainable supplier selection problem: Evidence from a radiator manufacturing industry. Journal of Engineering Research (Kuwait), 12(4), 867–877. https://doi.org/10.1016/j.jer.2024.03.014.
Quan, B.; Li, S.; Wu, K.J. (2023). Selecting an Optimal Scenario for Addressing Supplier Selection Problem by Considering Sustainable Scheduling: A Hybrid Approach. Applied Sciences (Switzerland), 13(5), 3035. https://doi.org/10.3390/app13053035.
Cinnirella, V.; Carpitella, S.; Coco, A.; Frangiamore, D.D.M.; de Geronimo, R.P. (2022). Sustainable suppliers evaluation in the waste management sector: the case of a leading Sicilian enterprise. IFAC-PapersOnLine, 55(11), 66–71. https://doi.org/10.1016/j.ifacol.2022.08.050.
Wang, X.; Ma, Y.; Gao, P.; Zhai, L.; Gu, B. (2020). Researches on suppliers selection based on improved AHP-TOPSIS method. IOP Conference Series: Materials Science and Engineering, 784(1). https://doi.org/10.1088/1757-899X/784/1/012031.
Gürbüz, T.; Alparslan, A. (2018). Quantitative decision-making in construction supply chains using fuzzy–TOPSIS. KSCE Journal of Civil Engineering, 22(5), 1657–1667. https://doi.org/10.1007/s12205-017-1122-4.
Keshavarz-Ghorabaee, M.; et al. (2018). A new decision-making model based on entropy and TOPSIS under Z-number information. Applied Soft Computing, 70, 701–712. https://doi.org/10.1016/j.asoc.2018.06.034.
Yadav, V.; Sharma, S. (2020). Integrated fuzzy AHP–TOPSIS for sustainable supplier selection considering risk. Environment, Development and Sustainability, 22(3), 2363–2386. https://doi.org/10.1007/s10668-018-0280-6.
Govindan, K.; et al. (2021). Fuzzy TOPSIS for sustainable supply chain. Journal of Environmental Management, 290, 112–134. https://doi.org/10.1016/j.jenvman.2021.112134.
Wang, J.-Q.; et al. (2021). TOPSIS with picture fuzzy information and its applications. International Journal of Intelligent Systems, 36(2), 658–685. https://doi.org/10.1002/int.22339.
Deng, X.; et al. (2019). Supplier selection using entropy-weighted TOPSIS under interval-valued intuitionistic fuzzy environment. Journal of Intelligent & Fuzzy Systems, 37(2), 1517–1528. https://doi.org/10.3233/JIFS-182876.
Chen, C.-H.; Nguyen, Q.; Tsai, S.-B.; et al. (2019). Multi-criteria model combining GRA & intuitionistic fuzzy entropy–TOPSIS. Sustainability, 11(8), 2265. https://doi.org/10.3390/su11082265.
Hajiagha, S.H.R.; et al. (2017). Interdependent grey linguistic MULTIMOORA–TOPSIS for supplier selection. Grey Systems: Theory and Application, 7(3), 245–260. https://doi.org/10.1108/GS-03-2017-0007.
Büyüközkan, G.; Göçer, F. (2017). TOPSIS under intuitionistic fuzzy environment for sustainable supplier selection. Applied Soft Computing, 56, 691–703. https://doi.org/10.1016/j.asoc.2016.09.042.
Nguyen, A.T.; Nguyen, Q.N.; Le, H.H.; et al. (2021). Selecting ready-mix concrete suppliers (MCDA integrated). Mathematical Problems in Engineering, 2021, 5564740. https://doi.org/10.1155/2021/5564740.
Kannan, D.; et al. (2021). Decision-making in construction procurement using hybrid MCDM. Engineering, Construction and Architectural Management, 28(10), 2972–2991. https://doi.org/10.1108/ECAM-03-2020-0181.
SUBMITTED: 24 November 2025
ACCEPTED: 02 February 2026
PUBLISHED:
6 February 2026
SUBMITTED to ACCEPTED: 71 days
DOI:
https://doi.org/10.53623/csue.v6i1.918