An Integrated Fuzzy Model for Selecting Resilient Suppliers in Electronics Industry of Iran

Hamzeh Aghababayi and Mohsen Shafiei Nikabadi
Additional contact information
Hamzeh Aghababayi: Industrial Management Department, Semnan University, Semnan 35131-19111, Iran
Mohsen Shafiei Nikabadi: Industrial Management Department, Semnan University, Semnan 35131-19111, Iran

Logistics, 2021, vol. 5, issue 4, 1-22

Abstract: Selecting appropriate and resilient suppliers is an important issue in supply chain management (SCM) literature. Making an effective decision on this issue can decrease external risks and disruptions, purchase costs, and delay times and also guarantees business continuity in the event of disruptions and, consequently, increases company competitiveness and customer satisfaction. This paper aims to provide a model based on identifying and investigating related criteria to evaluate suppliers’ resilience and select the most resilient suppliers in Iran’s electronic industry. To this purpose, the screening technique, the best-worst methodology (BWM), and goal programming (GP) have been applied in the fuzzy environment. The proposed model has been implemented and demonstrated by a case study of the electronic industry, as a real-life example. The results show that agility (0.227), compatibility (0.153), and vulnerability (0.102) are the most important factors for a resilient supplier.

Keywords: supply chain; supplier; resilience; best-worst method (BWM); goal programming (GP); fuzzy logic; electronics industry (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2305-6290/5/4/71/pdf (application/pdf)
https://www.mdpi.com/2305-6290/5/4/71/ (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:jlogis:v:5:y:2021:i:4:p:71-:d:650985

Access Statistics for this article

Logistics is currently edited by Ms. Mavis Li

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