Enhancing resilience in CSCs: a SCOR-integrated fermatean fuzzy AHP approach


AYYILDIZ E., Erdoğan M.

Journal of Enterprise Information Management, 2025 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Publication Date: 2025
  • Doi Number: 10.1108/jeim-07-2023-0403
  • Journal Name: Journal of Enterprise Information Management
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus, ABI/INFORM, Aerospace Database, Business Source Elite, Business Source Premier, Communication Abstracts, Educational research abstracts (ERA), INSPEC, Library and Information Science Abstracts, Library, Information Science & Technology Abstracts (LISTA), Metadex, Civil Engineering Abstracts
  • Keywords: AHP, CSCs, Interval-valued fermatean fuzzy numbers, Resilience, SCOR
  • Karadeniz Technical University Affiliated: Yes

Abstract

Purpose: The purpose of this study is to propose a novel framework that utilizes interval-valued fermatean fuzzy analytic hierarchy process (IVFF-AHP) to assess the resilience of circular supply chains (CSC)s. By categorizing resilience-related factors into different levels and determining their weights using IVFF-AHP, the framework aims to provide a comprehensive evaluation of the resilience of CSCs. Design/methodology/approach: The proposed framework integrates the concepts of CSCs, fuzzy multi criteria decision-making (MCDM) methods and the supply chain operations reference (SCOR) model. The SCOR model serves as a basis for identifying the factors relevant to resilience assessment. The framework then employs IVFF-AHP to determine the relative weights of these factors at each level, accommodating the inherent uncertainties and linguistic evaluations associated with assessing resilience. Findings: The findings of this study highlight the efficacy of the IVFF-AHP-based framework for assessing the resilience of CSCs. By considering multiple factors at different levels and applying fuzzy AHP, the framework provides decision-makers with a comprehensive understanding of the resilience of CSCs. The use of IVFF-AHP enables the effective handling of vague and imprecise information, enhancing the decision-making process. Practical implications: By employing IVFF-AHP, decision-makers can better understand the factors influencing the resilience of CSCs and allocate resources accordingly. This enhanced understanding can aid in developing strategies to mitigate risks, enhance adaptability and improve the overall resilience of CSCs. Originality/value: This study contributes to existing literature by introducing a novel framework that combines IVFF-AHP, CSCs and the SCOR model for assessing resilience. The application of fuzzy MCDM methods to evaluate the resilience of CSCs represents a significant novelty. The integration of the SCOR model further enhances the practical value of the framework, as it provides a standardized reference for identifying resilience-related factors. This research offers a unique and valuable perspective for researchers and practitioners in the field.