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

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.

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Publication Details

Journal
Journal of Enterprise Information Management
Published
2025-04-14
DOI
https://doi.org/10.1108/jeim-07-2023-0403
Citations
2
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
4.45
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article

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

Ertuğrul Ayyıldız, Melike Erdoğan
2 citations
Journal of Enterprise Information Management
Supply Chain Resilience and Risk Management
4.45
article

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

Ertuğrul Ayyıldız, Melike Erdoğan
article en
2 citations

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.

Journal of Enterprise Information ManagementVol. 38(4)
Karadeniz Technical University (TR), Hamad bin Khalifa University (QA), Düzce Üniversitesi (TR)
Openalex Percentile: Top 7%
Supply Chain Resilience and Risk Management
4.45
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