Development of Integrated AHP-Topsis Model for Construction Equipment Supplier Assessment
DOI:
https://doi.org/10.51988/jtsc.v7i3.606Keywords:
supplier selection, construction equipment, AHP, TOPSIS, resilient infrastructureAbstract
The selection of construction equipment suppliers heavily impacts project quality and supply chain sustainability. The research gap addressed here is that previous studies rarely integrate operational procurement metrics with global sustainability standards. This study fills this gap by developing an integrated AHP-TOPSIS multi-criteria decision-making model for PT Gamila Buana Nusantara. Pairwise-comparison data were obtained from 3 experts directly involved in the company's procurement process—specifically a Procurement Manager, a Senior Buyer, and a Supply Chain Specialist — each with 10 years of professional experience, selected through purposive sampling. The AHP method determines priority weights, while TOPSIS ranks alternative suppliers. Results show that quality, price, and delivery are the main criteria. The novelty of this study lies in bridging internal corporate operational evaluation directly with Sustainable Development Goals (SDG 9) frameworks, providing a highly systematic and transparent model. This study contributes to SDG 9 (Industry, Innovation, and Infrastructure) by strengthening resilient infrastructure, value chain management, and process innovation in the construction equipment procurement system.
References
S. Rinchen, S. Banihashemi, and S. Alkilani, “Driving digital transformation in construction: Strategic insights into building information modelling adoption in developing countries,” Proj. Leadersh. Soc., vol. 5, p. 100138, 2024, doi: https://doi.org/10.1016/j.plas.2024.100138.
D. Vîrjan et al., “Competitiveness—the engine that boosts economic growth and revives the economy,” Front. Environ. Sci., vol. 11, no. 1, p. 1130173, 2023, doi: https://doi.org/10.3389/fenvs.2023.1130173.
A. E. Oke, J. Aliu, A. Ebekozien, T. M. Akinpelu, T. M. Olatunde, and O. A. Ogunsanya, “Strategic drivers for the deployment of energy economics principles in the developing construction industry: A Nigerian perspective,” Environ. Prog. Sustain. Energy, vol. 43, no. 3, p. e14351, 2024, doi: https://doi.org/10.1002/ep.14351.
C. Lin, J. Chen, C. Feng, and X. Li, “Optimizing supplier selection for prefabricated components: a comprehensive evaluation,” Eng. Constr. Archit. Manag., 2024, doi: https://doi.org/10.1108/ECAM-09-2024-1230.
M. Ghafoori and M. Abdallah, “Multi-criteria decision support model for material and supplier selection in the construction industry,” Int. J. Constr. Manag., vol. 25, no. 4, pp. 409–418, Mar. 2025, doi: 10.1080/15623599.2024.2327251.
A. Singh, V. Kumar, and P. Verma, “Sustainable supplier selection in a construction company: a new MCDM method based on dominance-based rough set analysis,” Constr. Innov., vol. 25, no. 2, pp. 328–362, May 2023, doi: 10.1108/CI-12-2022-0324.
I. Masudin, I. Z. Habibah, R. W. Wardana, D. P. Restuputri, and S. S. Shariff, “Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods,” 2024. doi: 10.3390/logistics8030074.
A. N. Abuzaid, M. M. Alateeq, S. M. Madadha, F. E. A. Al Sharari, and M. K. Alsbou, “The Effect of Suppliers’ Green and Traditional Selection Criteria in Supply Chain Management on Purchasing Firms’ Performance,” Sustainability, vol. 16, no. 15, p. 6276, Jul. 2024, doi: 10.3390/su16156276.
A. Alshibani, Y. A. El Ghazzawi, A. Mohammed, A. M. Ghaithan, and M. A. Hassanain, “A multi-criteria decision-making model for heavy construction equipment replacement in Saudi Arabia,” J. Financ. Manag. Prop. Constr., vol. 29, no. 3, pp. 485–511, May 2024, doi: 10.1108/JFMPC-08-2023-0049.
O. Amiri, M. Rahimi, A. Ayazi, and G. Khazaeni, “Multi-criteria decision-making model for EPC contractor prequalification: a hybrid approach,” Int. J. Build. Pathol. Adapt., vol. 42, no. 3, pp. 369–385, Oct. 2021, doi: 10.1108/IJBPA-06-2021-0082.
N. Banti and D. A. Krawczyk, “Integrating energy simulations and analytical hierarchy process procedure in multi-criteria evaluation of heating systems for industrial buildings,” J. Build. Eng., vol. 95, p. 110203, 2024, doi: https://doi.org/10.1016/j.jobe.2024.110203.
Z. N. Shehab, R. M. Faisal, and S. W. Ahmed, “Multi-criteria decision making (MCDM) approach for identifying optimal solar farm locations: A multi-technique comparative analysis,” Renew. Energy, vol. 237, no. 1, p. 121787, 2024, doi: https://doi.org/10.1016/j.renene.2024.121787.
T. Avramova, T. Peneva, and A. Ivanov, “Overview of Existing Multi-Criteria Decision-Making (MCDM) Methods Used in Industrial Environments,” 2025. doi: 10.3390/technologies13100444.
J. Hallak, “Optimizing construction supplier selection in conflict-affected regions: a hybrid multi-criteria framework,” Oper. Manag. Res., vol. 1, no. 1, pp. 1–25, 2024, doi: 10.1007/s12063-024-00505-0.
H. Yousefi, S. Moradi, R. Zahedi, and Z. Ranjbar, “Developed analytic hierarchy process and multi criteria decision support system for wind farm site selection using GIS: A regional-scale application with environmental responsibility,” Energy Convers. Manag. X, vol. 22, no. 1, p. 100594, 2024, doi: https://doi.org/10.1016/j.ecmx.2024.100594.
A. U. R. Bajwa, C. Siriwardana, W. Shahzad, and M. A. Naeem, “Material selection in the construction industry: a systematic literature review on multi-criteria decision making,” Environ. Syst. Decis., vol. 45, no. 1, p. 8, 2025, doi: 10.1007/s10669-025-10001-w.
H. Taherdoost and M. Madanchian, “A Comprehensive Survey and Literature Review on TOPSIS,” Int. J. Serv. Sci. Manag. Eng. Technol., vol. 15, no. 1, pp. 1–65, Aug. 2024, doi: 10.4018/IJSSMET.347947.
J. Mathebula and N. Mbuli, “Application of TOPSIS for Multi-Criteria Decision Analysis (MCDA) in Power Systems: A Systematic Literature Review,” Energies, vol. 18, no. 13, p. 3478, Jul. 2025, doi: 10.3390/en18133478.
P. Madzík and L. Falát, “State-of-the-art on analytic hierarchy process in the last 40 years: Literature review based on Latent Dirichlet Allocation topic modelling,” PLoS One, vol. 17, no. 5, p. e0268777, 2022, doi: 10.1371/journal.pone.0268777.
D. D. Vavanoli, D. P. Sari, and H. Suliantoro, “An Integrated AHP–TOPSIS Model for Evaluating and Selecting Ship Docking Material Suppliers (Case Study: PT SMKU Tegal),” J. Tek. Ind. J. Has. Penelit. dan Karya Ilm. dalam Bid. Tek. Ind., vol. 12, no. 1, pp. 21–33, Apr. 2026, doi: 10.24014/jti.v12i1.39292.
C. Park, M. Son, J. Kim, B. Kim, Y. Ahn, and N. Kwon, “TOPSIS and AHP-Based Multi-Criteria Decision-Making Approach for Evaluating Redevelopment in Old Residential Projects,” Sustainability, vol. 17, no. 15, p. 7072, Aug. 2025, doi: 10.3390/su17157072.
B. Karpak, E. Aktas, and I. Topcu, “Guest editorial: AHP/ANP in supply chain resilience in the era of digital enterprise,” J. Enterp. Inf. Manag., vol. 38, no. 4, pp. 1001–1009, 2025, doi: 10.1108/JEIM-07-2025-722.
D. Sarkar, P. Raval, and A. Solanki, “Evaluation of key performance indicators affecting effective implementation of integrated BIM-blockchain technology through fuzzy AHP-ANP tool in bullet train project in India,” Innov. Infrastruct. Solut., vol. 10, no. 11, p. 508, 2025, doi: 10.1007/s41062-025-02299-x.
K. K. Naji, M. Gunduz, and M. H. Falamarzi, “Assessment of Construction Project Contractor Selection Success Factors considering Their Interconnections,” KSCE J. Civ. Eng., vol. 26, no. 9, pp. 3677–3690, 2022, doi: 10.1007/s12205-022-1377-6.
S. Kar and K. N. Jha, “Assessing criticality of construction materials for prioritizing their procurement using ANP-TOPSIS,” Int. J. Constr. Manag., vol. 3599, no. 1, pp. 1–12, 2020, doi: 10.1080/15623599.2020.1742637.
C.-H. Chen, “A Hybrid Multi-Criteria Decision-Making Approach Based on ANP-Entropy TOPSIS for Building Materials Supplier Selection,” 2021. doi: 10.3390/e23121597.
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