Supplier Selection in the Food Sector: An Integrated Approach Using LODECI and CORASO Methods
DOI:
https://doi.org/10.31181/sdmap31202631Keywords:
LODECI, CORASO, Supplier Selection, MCDM, Food IndustryAbstract
As a major component of the world economy, food affects human health, and food safety is an important factor in sustainable development. Variables, including population increase, changing consumer preferences, and climate change, have made the effective management of the food supply chain ever more important. In this regard, supplier choice presents a multi-criteria decision-making difficulty that directly affects the strategic success of companies. This study finds the best supplier for a milk and dairy manufacturing company using the LODECI and CORASO approaches. These two approaches, taken simultaneously for the first time, provide a more rigorous and exact assessment tool for decision-makers. Five main categories define the criteria developed in the study: cost, quality, delivery, financial strength, and capacity. These five factors comprise eleven sub-criteria, using which fifteen milk suppliers were evaluated. The findings show that whilst the MSU4-coded milk supplier showed the worst performance, the MSU2-coded milk supplier was decided to be the best milk supplier. Using comparison with other multi-criteria decision-making (MCDM) techniques, the accuracy of the CORASO approach was assessed, and it is a reliable method with high correlation coefficients.
Downloads
References
Dağdeviren, M., & Erarslan, E. (2008). PROMETHEE siralama yöntemi ile tedarikçi seçimi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 23(1).
Alshehri, K. A., & Albukhari, A. A. (2021). Critical factors of supplier selection in the food and beverage industry of Saudi Arabia: A FUZZY-TOPSIS approach. In Proceedings of the International Conference on Industrial Engineering and Operations Management (pp. 211–219).
Arabsheybani, A., & Arshadi Khasmeh, A. (2021). Robust and resilient supply chain network design considering risks in food industry: Flavour industry in Iran. International Journal of Management Science and Engineering Management, 16(3), 197–208. https://doi.org/10.1080/17509653.2021.1907811
Fallahpour, A., Nayeri, S., Sheikhalishahi, M., Wong, K. Y., Tian, G., & Fathollahi-Fard, A. M. (2021). A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: A case study of Malaysian Palm oil industry. Environmental Science and Pollution Research, 28(1), 1–21. https://doi.org/10.1007/s11356-021-12491-y
Tirkolaee, E. B., Dashtian, Z., Weber, G. W., Tomaskova, H., Soltani, M., & Mousavi, N. S. (2021). An integrated decision-making approach for green supplier selection in an agri-food supply chain: Threshold of robustness worthiness. Mathematics, 9(11), 1304. https://doi.org/10.3390/math9111304
Ada, N. (2022). Sustainable supplier selection in agri-food supply chain management. International Journal of Mathematical, Engineering and Management Sciences, 7(1), 115. https://doi.org/10.33889/IJMEMS.2022.7.1.008
Leong, W. Y., Wong, K. Y., & Wong, W. P. (2022). A new integrated multi-criteria decision-making model for resilient supplier selection. Applied System Innovation, 5(1), 8. https://doi.org/10.3390/asi5010008
Sarıoğlan, M., & Avcıkurt, C. (2022). A research related to the applicability of dematel method for supplier selection as an optimization model in food & beverage enterprises. Turizm Akademik Dergisi, 9(1), 311–321. https://doi.org/10.55065/intraders.1365612
Puška, A., & Stojanović, I. (2022). Fuzzy multi-criteria analyses on green supplier selection in an agri-food company. Journal of Intelligent Management and Decision, 1(1), 2–16. https://doi.org/10.56578/jimd010102
Puška, A., Božanić, D., Nedeljković, M., & Janošević, M. (2022). Green supplier selection in an uncertain environment in agriculture using a hybrid MCDM model: Z-Numbers–Fuzzy LMAW–Fuzzy CRADIS model. Axioms, 11(9), 427. https://doi.org/10.3390/axioms11090427
Thanh, N. V., & Lan, N. T. K. (2022). A new hybrid triple bottom line metrics and fuzzy MCDM model: Sustainable supplier selection in the food-processing industry. Axioms, 11(2), 57. https://doi.org/10.3390/axioms11020057
Yazdani, M., Pamucar, D., Chatterjee, P., & Torkayesh, A. E. (2022). A multi-tier sustainable food supplier selection model under uncertainty. Operations Management Research, 15(1), 116–145. https://doi.org/10.1007/s12063-021-00186-z
Ben Abdallah, C., El-Amraoui, A., Delmotte, F., & Frikha, A. (2024). A hybrid approach for sustainable and resilient farmer selection in food industry: Tunisian case study. Sustainability, 16(5), 1889. https://doi.org/10.3390/su16051889
Aka, D. Ç. (2023). Fuzzy Trapezoidal DEMATEL Method for Criteria Weights in Supplier Selection: A Case Study of Ice Cream Producer. InTraders International Trade Academic Journal, 6(2), 97–118. https://doi.org/10.55065/intraders.1365612
Görçün, Ö. F., Aytekin, A., & Korucuk, S. (2023). Fresh food supplier selection for global retail chains via bipolar neutrosophic methodology. Journal of Cleaner Production, 419, 138156. https://doi.org/10.1016/j.jclepro.2023.138156
Hajiaghaei-Keshteli, M., Cenk, Z., Erdebilli, B., Özdemir, Y. S., & Gholian-Jouybari, F. (2023). Pythagorean fuzzy TOPSIS method for green supplier selection in the food industry. Expert Systems with Applications, 224, 120036. https://doi.org/10.1016/j.eswa.2023.120036
Magableh, G. M. (2023). Evaluating wheat suppliers using fuzzy MCDM technique. Sustainability, 15(13), 10519. https://doi.org/10.3390/su151310519
Mohammed, A., Bai, C., Channouf, N., Ahmed, T. A., & Mohamed, S. M. (2023). G-resilient multi-tier supplier selection and order allocation in food industry: A hybrid methodology. International Journal of Systems Science: Operations & Logistics, 10(1), 2195055. https://doi.org/10.1080/23302674.2023.2195055
Nasseri, H., Chen, H. K., Huo, K. Z., & Lo, Y. F. (2023). A hybrid grey decision methodology in social sustainable supplier selection. Sustainability, 15(15), 11777. https://doi.org/10.3390/su151511777
Wijaya, D. S., & Widodo, D. S. (2022). Evaluation supplier involve on food safety and Halal criteria using fuzzy AHP: A case study in Indonesia. Jurnal Teknik Industri, 23(1), 67–78. http://dx.doi.org/10.22219/JTIUMM.Vol23.No1.67-78
Ardra, S., & Barua, M. K. (2024). Sustainable supplier selection among supermarket’s fresh fruits and vegetable supply chains based on circular practices in India. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-024-05347-1
Aungkulanon, P., Atthirawong, W., Luangpaiboon, P., & Chanpuypetch, W. (2024). Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection. Mathematics, 12(10), 1598. https://doi.org/10.3390/math12101598
Baroto, T., Utama, D. M., & Ibrahim, M. F. (2024, March). Green supplier selection for agri-food industry: A review on the methodology and context. In AIP Conference Proceedings (Vol. 2927, No. 1). AIP Publishing. https://doi.org/10.1063/5.0192214
Magableh, G. M. (2024). An integrated model for rice supplier selection strategies and a comparative analysis of fuzzy multicriteria decision-making approaches based on the fuzzy entropy weight method for evaluating rice suppliers. PLOS ONE, 19(4), e0301930. https://doi.org/10.1371/journal.pone.0301930
Nedeljković, M., Puška, A., & Ćirković, A. (2024). Selection of suppliers in an alternative food network. International Review, 1-2, 163–170. http://dx.doi.org/10.5937/intrev2401163N
Niroomand, S. (2025). A DEA-based decision framework for performance evaluation and ranking of workers in a real case from food industries. International Journal of Applied Decision Sciences, 18(1), 24–39. https://doi.org/10.1504/IJADS.2025.143075
Öner, S. C., & Bayrak, A. T. (2024, May). Green Supplier Selection Problem for Fast Food Industry. In 2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (pp. 1–6). IEEE. https://doi.org/10.1109/HORA61326.2024.10550838
Wang, Y., Yang, H., & Han, X. (2024a). Study on the method of selecting sustainable food suppliers considering interactive factors. Journal of Operations Intelligence, 2(1), 202–218. https://doi.org/10.31181/jopi21202420
Wang, Y., Wang, W., Wang, Z., Deveci, M., Roy, S. K., & Kadry, S. (2024b). Selection of sustainable food suppliers using the Pythagorean fuzzy CRITIC-MARCOS method. Information Sciences, 664, 120326. https://doi.org/10.1016/j.ins.2024.120326
Miyangaskary, M. K., Keivanpour, S., & Safari, H. (2025). A multi-objective optimization model of a closed-loop supply chain for supplier selection and order allocation under uncertainty: A case study of retail stores for protein products. Transportation Research Procedia, 82, 323–341. https://doi.org/10.1016/j.trpro.2024.12.046
Pala, O., Atçeken, Ö., Omurtak, H., & Şimşir, B. (2024). BİST Çimento Sektöründe LODECI ve CRADIS ile Finansal Performans Analizi. Alanya Akademik Bakış, 8(3), 956–970. https://doi.org/10.29023/alanyaakademik.1452960
Pala, O. (2024). Assessment of the social progress on European Union by logarithmic decomposition of criteria importance. Expert Systems with Applications, 238, 121846. https://doi.org/10.1016/j.eswa.2023.121846
Puška, A. (2025). Selection of CRM systems using objective criteria for the needs of small companies. International Journal of Knowledge and Innovation Studies, 3(1), 1–11. https://doi.org/10.56578/ijkis030101
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Didem Tufan, Alptekin Ulutaş (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
All site content, except where otherwise noted, is licensed under the 