Objective Approach in Supplier Selection: Integration of RECA Weighting and Combinative Distance-based Assessment Method

Setiawansyah Setiawansyah; Iryanto Chandra

doi:10.58602/chain.v4i3.264

Setiawansyah Setiawansyah ^{(Corresponding Author)} Universitas Teknokrat Indonesia
Iryanto Chandra Universitas Islam Negeri Sunan Kalijaga Yogyakarta

DOI: https://doi.org/10.58602/chain.v4i3.264

Keywords: Decision Support System, Multi-Criteria Decision Making, Objective Evaluation, Supplier Selection, Supply Chain Management

Abstract

Supplier selection is a strategic decision that directly affects operational efficiency and supply chain performance. This study aims to propose a multi-criteria decision-making approach to evaluate and rank suppliers objectively based on multiple performance indicators. The evaluation is conducted using five main criteria, namely price, quality, delivery, responsiveness, and capacity and flexibility. A total of nine supplier alternatives were assessed, and a quantitative decision model was applied to aggregate the performance of each alternative into a final score and ranking. The results indicate that the proposed approach is capable of clearly distinguishing supplier performance, as reflected in the significant differences in final scores across alternatives. The ranking results show that PT Cipta Solusi Persada achieved the first position with a final score of 0.5171, followed by PT Karya Nusantara with a score of 0.4626 in the second position, and PT Prima Logistik Indonesia with a score of 0.3922 in the third position. These findings demonstrate that suppliers with balanced performance across all criteria tend to achieve higher rankings. The study also highlights that suppliers with lower rankings generally exhibit structural weaknesses in key criteria, suggesting the need for performance improvement or strategic reconsideration.

References

J. Wang and N. An, “Research on Evaluation Method of Green Suppliers Under Pythagorean Fuzzy Environment,” Sustainability, vol. 16, no. 20. 2024. doi: 10.3390/su16209124.

J. Hallak, “Optimizing construction supplier selection in conflict-affected regions: a hybrid multi-criteria framework,” Oper. Manag. Res., vol. 17, no. 4, pp. 1270–1294, 2024, doi: 10.1007/s12063-024-00505-0.

S. Zeng, W. Chen, J. Gu, and E. Zhang, “An Integrated EDAS Model for Fermatean Fuzzy Multi-Attribute Group Decision Making and Its Application in Green-Supplier Selection,” Systems, vol. 11, no. 3. 2023. doi: 10.3390/systems11030162.

M. Sheykhizadeh, R. Ghasemi, H. R. Vandchali, A. Sepehri, and S. A. Torabi, “A hybrid decision-making framework for a supplier selection problem based on lean, agile, resilience, and green criteria: a case study of a pharmaceutical industry,” Environ. Dev. Sustain., vol. 26, no. 12, pp. 30969–30996, 2024, doi: 10.1007/s10668-023-04135-7.

M. Hashemi-Tabatabaei, M. Amiri, and M. Keshavarz-Ghorabaee, “An Expected Value-Based Symmetric–Asymmetric Polygonal Fuzzy Z-MCDM Framework for Sustainable–Smart Supplier Evaluation,” Information, vol. 16, no. 3. 2025. doi: 10.3390/info16030187.

M. A. M. Al-Gerafi et al., “Promoting inclusivity in education amid the post-COVID-19 challenges: An interval-valued fuzzy model for pedagogy method selection,” Int. J. Manag. Educ., vol. 22, no. 3, p. 101018, 2024, doi: https://doi.org/10.1016/j.ijme.2024.101018.

V. Simić, B. Milovanović, S. Pantelić, D. Pamučar, and E. B. Tirkolaee, “Sustainable route selection of petroleum transportation using a type-2 neutrosophic number based ITARA-EDAS model,” Inf. Sci. (Ny)., vol. 622, pp. 732–754, 2023, doi: https://doi.org/10.1016/j.ins.2022.11.105.

P. Simamora and A. T. Priandika, “Sistem Pendukung Keputusan Pemberian Kredit Kendaraan Menggunakan G2M Weighting dan Metode Comprehensive Distance Based Ranking,” Bull. Comput. Sci. Res., vol. 5, no. 4 SE-, pp. 392–403, Jun. 2025, doi: 10.47065/bulletincsr.v5i4.518.

M. W. Arshad, R. R. Suryono, Y. Rahmanto, S. Sumanto, S. Sintaro, and S. Setiawansyah, “Combination of Objective Weighting Method using MEREC and A New Additive Ratio Assessment in Coffee Barista Admissions,” TIN Terap. Inform. Nusant., vol. 5, no. 3, pp. 220–231, Aug. 2024, doi: 10.47065/tin.v5i3.5771.

M. R. Seikh and P. Chatterjee, “Determination of best renewable energy sources in India using SWARA-ARAS in confidence level based interval-valued Fermatean fuzzy environment,” Appl. Soft Comput., vol. 155, p. 111495, 2024, doi: https://doi.org/10.1016/j.asoc.2024.111495.

Junhai Wang and Setiawansyah, “Integration of LOPCOW and ARAS Methods for Selecting the Best Employees in the Finance Division,” J. Decis. Support Syst. Res., vol. 2, no. 3, pp. 125–134, May 2025, doi: 10.64366/dss.v2i3.102.

R. Aryanti, J. Wang, A. D. Wahyudi, S. Setiawansyah, and D. Darwis, “Decision Support System for Selecting the Best Restaurant Waiter Using a Combination of WENSLO Weighting and AROMAN Methods,” JEECS (Journal Electr. Eng. Comput. Sci., vol. 10, no. 2 SE-Articles, pp. 128–141, Dec. 2025, doi: 10.54732/jeecs.v10i2.4.

M. MARUF and K. ÖZDEMİR, “Ranking of Tourism Web Sites According to Service Performance Criteria with CRITIC and MAIRCA Methods: The Case of Turkey,” Uluslararası Yönetim Akad. Derg., vol. 6, no. 4, pp. 1108–1117, Jan. 2024, doi: 10.33712/mana.1352560.

A. Asistyasari, M. W. Arshad, I. Chandra, Y. Nuryaman, and V. H. Saputra, “Integration of RECA Weighting and MARCOS Methods in Decision Support Systems for the Selection of the Best Customer Recommendations,” J. Inform. dan Rekayasa Perangkat Lunak, vol. 6, no. 2, pp. 122–136, Jun. 2025, doi: 10.33365/jatika.v6i2.219.

J. Wang, S. Setiawansyah, and Y. Rahmanto, “Decision Support System for Choosing the Best Shipping Service for E-Commerce Using the SAW and CRITIC Methods,” J. Ilm. Inform. dan Ilmu Komput., vol. 3, no. 2, pp. 101–109, 2024, doi: 10.58602/jima-ilkom.v3i2.32.

H. Nirinarivelo and R. G. Rasoanaivo, “Multi-criteria Evaluation of Madagascar’s Regions in the Context of Employment Using the CoCoFISo Method,” Spectr. Decis. Mak. Appl., vol. 2, no. 1, pp. 135–156, Jan. 2025, doi: 10.31181/sdmap21202514.

I. Z. Mukhametzyanov and D. Pamucar, “Equivalence of MCDM Methods and Synthesis of Solution Based on Ratings Obtained in Different Models,” Decis. Mak. Appl. Manag. Eng., vol. 8, no. 2, pp. 1–20, Aug. 2025, doi: 10.31181/dmame8220251473.

Z. Li, Y. Wang, J. Xie, Y. Cheng, and L. Shi, “Hybrid multi-criteria decision-making evaluation of multiple renewable energy systems considering the hysteresis band principle,” Int. J. Hydrogen Energy, vol. 49, pp. 450–462, 2024, doi: https://doi.org/10.1016/j.ijhydene.2023.09.059.

A. Sahin, G. Imamoglu, M. Murat, and E. Ayyildiz, “A holistic decision-making approach to assessing service quality in higher education institutions,” Socioecon. Plann. Sci., vol. 92, p. 101812, 2024, doi: https://doi.org/10.1016/j.seps.2024.101812.

S. H. Gurmani, S. Zhang, F. A. Awwad, and E. A. A. Ismail, “Combinative distance-based assessment method using linguistic T-spherical fuzzy aggregation operators and its application to multi-attribute group decision-making,” Eng. Appl. Artif. Intell., vol. 133, p. 108165, 2024, doi: https://doi.org/10.1016/j.engappai.2024.108165.

M. Ramesh, D. J. D. James, S. Mohan, and K. Panneerselvam, “Evaluation and study of PBI reinforced with HDPE on abrasive wear using ANOVA and CODAS approach for protective shell applications,” J. Pipeline Sci. Eng., p. 100279, 2025, doi: https://doi.org/10.1016/j.jpse.2025.100279.

S. Zeng and C. Yang, “Risk evaluation of livestream e-commerce platforms based on expert trust networks and CODAS,” Expert Syst. Appl., vol. 260, p. 125408, 2025, doi: https://doi.org/10.1016/j.eswa.2024.125408.

H. Wang, L. Feng, M. Deveci, K. Ullah, and H. Garg, “A novel CODAS approach based on Heronian Minkowski distance operator for T-spherical fuzzy multiple attribute group decision-making,” Expert Syst. Appl., vol. 244, p. 122928, 2024, doi: https://doi.org/10.1016/j.eswa.2023.122928.

D. A. Megawaty, D. Damayanti, S. Sumanto, P. Permata, D. Setiawan, and S. Setiawansyah, “Development of a Decision Support System Based on New Approach Respond to Criteria Weighting Method and Grey Relational Analysis: Case Study of Employee Recruitment Selection,” JOIV Int. J. Informatics Vis., vol. 9, no. 1, pp. 314–323, 2025, doi: 10.62527/joiv.9.1.2744.

F. Ulum et al., “Combination of Response to Criteria Weighting Method and Multi-Attribute Utility Theory in the Decision Support System for the Best Supplier Selection,” J-INTECH (Journal Inf. Technol., vol. 13, no. 01, pp. 33–47, 2025, doi: 10.32664/j-intech.v13i01.1810.

A. Ajithkumar and P. GaneshKumar, “A systematic framework for the optimum selection of organic PCM in sustainable solar drying process: A multi-criteria decision-making methodology,” J. Energy Storage, vol. 116, p. 116080, 2025, doi: https://doi.org/10.1016/j.est.2025.116080.

E. Carnia et al., “An Integrated Weighted Fuzzy N-Soft Set–CODAS Framework for Decision-Making in Circular Economy-Based Waste Management Supporting the Blue Economy: A Case Study of the Citarum River Basin, Indonesia,” Mathematics, vol. 14, no. 2. p. 238, 2026. doi: 10.3390/math14020238.