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Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection

Author

Listed:
  • Pasura Aungkulanon

    (Department of Materials Handling and Logistics Engineering, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand)

  • Walailak Atthirawong

    (School of Science, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand)

  • Pongchanun Luangpaiboon

    (Thammasat University Research Unit in Industrial Statistics and Operational Research, Department of Industrial Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathumthani 12120, Thailand)

  • Wirachchaya Chanpuypetch

    (College of Maritime Studies and Management, Chiang Mai University, Samut Sakhon 74000, Thailand)

Abstract

Globalization and multinational commerce have increased the dynamism and complexity of supply networks, thereby increasing their susceptibility to disruptions along interconnected supply chains. This study aims to tackle the significant concern of supplier selection disruptions in the Thai agri-food industry as a response to the aforementioned challenges. A novel supplier evaluation system, PROMETHEE II, is suggested; it combines the Fuzzy Analytical Hierarchy Process (FAHP) with inferential statistical techniques. This investigation commences with the identification of critical indicators of risk in the sustainable supply chain via three phases of analysis and 315 surveys of management teams. Exploratory factor analysis (EFA) is utilized to ascertain six supply risk criteria and twenty-three sub-criteria. Following this, the parameters are prioritized by FAHP, whereas four prospective suppliers for an agricultural firm are assessed by PROMETHEE II. By integrating optimization techniques into sensitivity analysis, this hybrid approach improves supplier selection criteria by identifying dependable solutions that are customized to risk scenarios and business objectives. The iterative strategy enhances the resilience of the agri-food supply chain by enabling well-informed decision-making amidst evolving market dynamics and chain risks. In addition, this research helps agricultural and other sectors by providing a systematic approach to selecting low-risk suppliers and delineating critical supply chain risk factors. By bridging complexity and facilitating informed decision-making in supplier selection processes, the results of this study fill a significant void in the academic literature concerning sustainable supply chain risk management.

Suggested Citation

  • Pasura Aungkulanon & Walailak Atthirawong & Pongchanun Luangpaiboon & Wirachchaya Chanpuypetch, 2024. "Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection," Mathematics, MDPI, vol. 12(10), pages 1-41, May.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:10:p:1598-:d:1398103
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    References listed on IDEAS

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    1. Lina Dai & Shizhen Bai, 2020. "An Approach to Selection of Agricultural Product Supplier Using Pythagorean Fuzzy Sets," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-7, August.
    2. B. James Deaton & Brady J. Deaton, 2020. "Food security and Canada's agricultural system challenged by COVID‐19," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(2), pages 143-149, June.
    3. Jurgita Kuizinaitė & Mangirdas Morkūnas & Artiom Volkov, 2023. "Assessment of the Most Appropriate Measures for Mitigation of Risks in the Agri-Food Supply Chain," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    4. Theodorou, Savvas & Florides, Georgios & Tassou, Savvas, 2010. "The use of multiple criteria decision making methodologies for the promotion of RES through funding schemes in Cyprus, A review," Energy Policy, Elsevier, vol. 38(12), pages 7783-7792, December.
    5. repec:eme:mrn000:01409170810913042 is not listed on IDEAS
    6. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    7. Adolfo Carballo‐Penela & Ingrid Mateo‐Mantecón & Sergio Alvarez & Juan Luis Castromán‐Diz, 2018. "The Role of Green Collaborative Strategies in Improving Environmental Sustainability in Supply Chains: Insights from a Case Study," Business Strategy and the Environment, Wiley Blackwell, vol. 27(6), pages 728-741, September.
    8. William Ho & Tian Zheng & Hakan Yildiz & Srinivas Talluri, 2015. "Supply chain risk management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 5031-5069, August.
    9. Sirish Kumar Gouda & Haritha Saranga, 2018. "Sustainable supply chains for supply chain sustainability: impact of sustainability efforts on supply chain risk," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5820-5835, September.
    10. David L Levy, 1995. "International Sourcing and Supply Chain Stability," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 26(2), pages 343-360, June.
    11. Amin Ullah Khan & Yousaf Ali, 2021. "Sustainable supplier selection for the cold supply chain (CSC) in the context of a developing country," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13135-13164, September.
    12. Tang, Ou & Nurmaya Musa, S., 2011. "Identifying risk issues and research advancements in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 133(1), pages 25-34, September.
    13. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    14. Awasthi, Anjali & Govindan, Kannan & Gold, Stefan, 2018. "Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach," International Journal of Production Economics, Elsevier, vol. 195(C), pages 106-117.
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