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

• Published in: Mathematics (Basel) Vol. 12; no. 10; p. 1598
• Main Authors: Aungkulanon, Pasura, Atthirawong, Walailak, Luangpaiboon, Pongchanun, Chanpuypetch, Wirachchaya
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-05-2024
• Subjects: agri-food supply chain (AFSC); Analytic hierarchy process; Complexity; Component and supplier management; Criteria; Decision making; exploratory factor analysis (EFA); Factor analysis; Food supply; Fuzzy Analytical Hierarchy Process (FAHP); Globalization; Hybrid Sensitivity–Optimization Method for Agri-food Supplier Selection (HSOMASS); Logistics; Mathematical optimization; Natural resources; Product development; PROMETHEE II; Resilience; Risk management; Sensitivity analysis; Suppliers; Supply chain management; Supply chains; Surveys; sustainable supply chain risk management (SSCRM); Thailand; Vendor relations; Thailand
• ISSN: 2227-7390; 2227-7390
• DOI: 10.3390/math12101598

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.