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

Pasura Aungkulanon, Walailak Atthirawong (), Pongchanun Luangpaiboon and Wirachchaya Chanpuypetch ()
Additional contact information
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

Mathematics, 2024, vol. 12, issue 10, 1-42

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.

Keywords: agri-food supply chain (AFSC); Fuzzy Analytical Hierarchy Process (FAHP); exploratory factor analysis (EFA); Hybrid Sensitivity–Optimization Method for Agri-food Supplier Selection (HSOMASS); PROMETHEE II; sustainable supply chain risk management (SSCRM) (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2227-7390/12/10/1598/pdf (application/pdf)
https://www.mdpi.com/2227-7390/12/10/1598/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:12:y:2024:i:10:p:1598-:d:1398103

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().