A Fuzzy Analysis Approach to Green-Resilient Supplier Selection in Electronic Manufacturing Systems. Issue 5 (4th July 2023)

• Record Type: Journal Article
• Authors: Abedian, Mansour; Saghafinia, Ali; Hejazi, Maryam
• Is Part Of: Cybernetics and systems. Volume 54:Issue 5(2023)
• Page Start: 577
• Page End: 603
• Publication Date: 2023-07-04
• Subjects: Data envelopment analysis -- electronic industry -- fuzzy set -- resiliency -- supplier selection; Cybernetics -- Periodicals; System theory -- Periodicals; 003.5
• DOI: 10.1080/01969722.2022.2067633
• Languages: English
• ISSNs: 0196-9722

Abstract

Abstract: Adopting environmentally sound practices and utilizing resilient issues to face disruptive events and risks are new important agendas for enterprises, governments, and societies. The issue of supplier selection and evaluation in accordance with green and resilient principles has received little attention in the electronic industry. So, the present study aims to consider both criteria of resilience and greenness in a new supplier selection model. This study presents an integrated decision-making method based on the fuzzy set theory and data envelopment analysis (DEA) approach for supplier selection in a supply chain network in an electronic manufacturing company. The fuzzy set theory was used for analyzing suppliers' indicator weights, the suppliers' performance, and rating them with respect to subcriteria. Then, the obtained data were aggregated to classify and prepare them for use in a version assurance region of the DEA method with one dummy input and three output variables to rank the suppliers. The performance of the proposed DEA-based model has been verified through the sensitivity analysis and it has been validated by the existing FIS-based model in the literature. Furthermore, the proposed DEA-based model can be designed with any number of suppliers and criteria and subcriteria.