A Multi-Criteria Decision Framework for Sustainable Supplier Selection in the Blue Swimming Crab Supply Chain

Rahmad Waris Wahdianto; Evi Yuliawati

doi:10.46604/aiti.2026.16629

Authors

Rahmad Waris Wahdianto Master Program of Industrial Engineering, Adhi Tama Surabaya Institute of Technology, Surabaya, Indonesia
Evi Yuliawati Master Program of Industrial Engineering, Adhi Tama Surabaya Institute of Technology, Surabaya, Indonesia

DOI:

https://doi.org/10.46604/aiti.2026.16629

Keywords:

decision-making, sustainable supplier selection, DEMATEL, fuzzy ANP, fuzzy TOPSIS

Abstract

Supplier selection for perishable seafood commodities such as blue swimming crab involves multiple conflicting and interdependent criteria. This study aims to develop an integrated multi-criteria decision framework for sustainable supplier selection in the Indonesian blue swimming crab supply chain by combining DEMATEL, Fuzzy ANP, and Fuzzy TOPSIS. DEMATEL maps causal relationships among criteria, Fuzzy ANP determines priority weights while accounting for interdependencies, and Fuzzy TOPSIS ranks the alternatives while preserving the vagueness of linguistic judgments. Eleven experts at PT XYZ in Gresik evaluated five suppliers. On-time delivery (weight = 0.1186) and competitive price (weight = 0.0994) are the most critical sub-criteria. Rembang ranks first (closeness coefficient = 0.7530), followed by Tuban, Madura, Pasuruan, and Cirebon. Sensitivity analysis confirms the robustness to ±20% weight variation, and rank correlation with 2023-2025 performance data supports the ranking, demonstrating the applicability of the proposed framework for sustainable supplier selection.

References

W. Setioko, S. W. Saputra, D. Wijayanto, and A. Sabdaningsih, “The Blue Swimming Crab Export: A Trend Analysis of Indonesia and Other Countries Export Contribution to the USA Market, 2015-2023,” AACL Bioflux, vol. 17, no. 6, pp. 2483-2493, 2024.

H. Yulianto, Y. N. Ihsan, D. Sumiarsa, A. Ansari, and Hendarmawan, “Assessing the Sustainability of the Blue Swimming Crab (Portunus pelagicus) on the Eastern Coast of Lampung: A Holistic Approach to Conservation and Resource Stewardship,” Frontiers in Marine Science, vol. 11, article no. 1304838, 2024.

C. A. Roheim and D. Zhang, “Sustainability Certification and Product Substitutability: Evidence from the Seafood Market,” Food Policy, vol. 79, pp. 92-100, 2018.

P. Setyaningrum, A. A. Gabriel, and I. A. Cholilie, “Modelling of Sustainable Blue Swimming Crab Supply Chain in East Java Using Soft System Methodology,” Industria: Jurnal Teknologi dan Manajemen Agroindustri, vol. 11, no. 2, pp. 151-164, 2022.

FAO, The State of World Fisheries and Aquaculture 2020: Sustainability in Action, Rome, Italy: Food and Agriculture Organization of the United Nations (FAO), 2020.

C. R. Hopkins, S. I. Roberts, A. J. Caveen, C. Graham, and N. M. Burns, “Improved Traceability in Seafood Supply Chains Is Achievable by Minimising Vulnerable Nodes in Processing and Distribution Networks,” Marine Policy, vol. 159, article no. 105910, 2024.

K. Govindan, S. Rajendran, J. Sarkis, and P. Murugesan, “Multi Criteria Decision Making Approaches for Green Supplier Evaluation and Selection: A Literature Review,” Journal of Cleaner Production, vol. 98, pp. 66-83, 2015.

Haryono, I. Masudin, Y. Suhandini, and D. Kannan, “Exploring Scientific Publications for the Development of Relevant and Effective Supplier Selection Methods and Criteria in the Food Industry: A Comprehensive Analysis,” Cleaner Logistics and Supply Chain, vol. 12, article no. 100161, 2024.

D. U. Rahmawati and N. Salimi, “Sustainable and Resilient Supplier Selection: The Case of an Indonesian Coffee Supply Chain,” Journal of Supply Chain Management Science, vol. 3, no. 1-2, pp. 16-36, 2022.

C. T. Chen, “Extensions of the TOPSIS for Group Decision-Making under Fuzzy Environment,” Fuzzy Sets and Systems, vol. 114, no. 1, pp. 1-9, 2000.

S. Opricovic and G. H. Tzeng, “Compromise Solution by MCDM Methods: A Comparative Analysis of VIKOR and TOPSIS,” European Journal of Operational Research, vol. 156, no. 2, pp. 445-455, 2004.

M. A. Naqvi and S. H. Amin, “Supplier Selection and Order Allocation: A Literature Review,” Journal of Data, Information and Management, vol. 3, no. 2, pp. 125-139, 2021.

K. Zimmer, M. Fröhling, and F. Schultmann, “Sustainable Supplier Management—A Review of Models Supporting Sustainable Supplier Selection, Monitoring and Development,” International Journal of Production Research, vol. 54, no. 5, pp. 1412-1442, 2016.

J. Elkington, Cannibals with Forks: The Triple Bottom Line of 21st Century Business, Oxford: Capstone, 1997.

G. J. Skulmoski, F. T. Hartman, and J. Krahn, “The Delphi Method for Graduate Research,” Journal of Information Technology Education, vol. 6, pp. 1-21, 2007.

S. L. Si, X. Y. You, H. C. Liu, and P. Zhang, “DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications,” Mathematical Problems in Engineering, vol. 2018, no. 1, article no. 3696457, 2018.

C. Kahraman, S. Cebi, S. Ç. Onar, and B. Öztayşi, “Recent Developments on Fuzzy AHP&ANP Under Vague and Imprecise Data: Evidence from INFUS Conferences,” International Journal of the Analytic Hierarchy Process, vol. 14, no. 2, pp. 1-17, 2022.

S. H. Hashemi, A. Karimi, and M. Tavana, “An Integrated Green Supplier Selection Approach with Analytic Network Process and Improved Grey Relational Analysis,” International Journal of Production Economics, vol. 159, pp. 178-191, 2015.

S. Deepika, S. Anandakumar, M. Bhuvanesh Kumar, and C. Baskar, “Performance Appraisement of Supplier Selection in Construction Company with Fuzzy AHP, Fuzzy TOPSIS, and DEA: A Case Study Based Approach,” Journal of Intelligent & Fuzzy Systems, vol. 45, no. 6, pp. 10515-10528, 2023.

E. Krisnaningsih, M. R. Nuryusuf, S. Dwiyatno, D. Cahyadi, and A. Suwandi, "A Hybrid Fuzzy for Supplier Selection Optimization of Steel Raw Materials," Journal of Industrial Services, vol. 11, no. 2, pp. 259-268, 2025.

M. Khorram, M. Sheibani, and S. Niroomand, “A Decision Framework Based on Integration of DEMATEL, QFD, TOPSIS and VIKOR Approaches for Fuzzy Multi-Criteria Supplier Selection Problem,” Journal of Uncertain Systems, vol. 17, no. 1, 2024.

D. M. Utama, B. Maharani, and I. Amallynda, “Integration DEMATEL and ANP for the Supplier Selection in the Textile Industry: A Case Study,” Jurnal Ilmiah Teknik Industri, vol. 20, no. 1, pp. 119-130, 2021.

N. Habibah and R. D. Kusumastuti, “Determining Criteria for Supplier Selection in the Indonesian Oil and Gas Industry,” The South East Asian Journal of Management, vol. 14, no. 2, article no. 5, 2020.

A. Puška and I. Stojanovic, “Fuzzy Multi-Criteria Analyses on Green Supplier Selection in an Agri-Food Company,” Journal of Intelligent Management Decision, vol. 1, no. 1, pp. 2-16, 2022.

J. Sharma and B. B. Tripathy, “An Integrated QFD and Fuzzy TOPSIS Approach for Supplier Evaluation and Selection,” The TQM Journal, vol. 35, no. 8, pp. 2387-2412, 2023.

K. Govindan, R. Khodaverdi, and A. Vafadarnikjoo, “A Grey DEMATEL Approach to Develop Third-Party Logistics Provider Selection Criteria,” Industrial Management & Data Systems, vol. 116, no. 4, pp. 690-722, 2016.

S. Akcan and M. Güldüş, “Integrated Multicriteria Decision-Making Methods to Solve Supplier Selection Problem: A Case Study in a Hospital,” Journal of Healthcare Engineering, vol. 2019, no. 1, article no. 5614892, 2019.

R. Kumar and D. Pamucar, “A Comprehensive and Systematic Review of Multi-Criteria Decision-Making (MCDM) Methods to Solve Decision-Making Problems: Two Decades from 2004 to 2024,” Spectrum of Decision Making and Applications, vol. 2, no. 1, pp. 177-196, 2025.

S. Koley, “Critically Reckoning Spectrophotometric Detection of Asymptomatic Cyanotoxins and Faecal Contamination in Periurban Agrarian Ecosystems via Convolutional Neural Networks,” Trends in Sciences, vol. 21, no. 12, article no. 8528, 2024.

Q. Du, Y. Wu, Y. Liao, R. Dong, S. Shui, S. Benjakul, et al., “Investigation of the Alternations in the Muscle Quality of Swimming Crab (Ovalipes punctatus) during Cold-Chain Transportation Using Physicochemical and TMT-Based Quantitative Proteomic Analysis,” Journal of Agricultural and Food Chemistry, vol. 72, no. 20, pp. 11820-11835, 2024.