A novel resilient supplier and order allocation model with Pythagorean fuzzy sets based on Industry 4.0 initiatives

Çalık, Ahmet

doi:10.1007/s10668-023-03608-z

Environ Dev Sustain

2023

DOI: 10.1007/s10668-023-03608-z

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A novel resilient supplier and order allocation model with Pythagorean fuzzy sets based on Industry 4.0 initiatives

Ahmet Çalık

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2024

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Cited by 3 publications

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An integrated multi-attributive border approximation area comparison (MABAC) method for evaluating resilience and knowledge sharing of suppliers in pythagorean fuzzy environment

Jafari,

Naghdi Khanachah

2024

Artif Intell Rev

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This paper aims to determine the resilience scores of suppliers by considering the importance of knowledge sharing and incorporating a set of criteria that affect the supply chain’s resilience, along with knowledge sharing. In order to achieve this goal, we propose a new multi-criteria decision-making (MCDM) method named MULTIMABAC to evaluate suppliers’ resilience. This method is based on the multi-attributive border approximation area comparison (MABAC) method. The new method consists of criteria weighting, expert weighting, and supplier evaluation. In the criteria weighting section, we extend the BWM (Best–Worst method) using Pythagorean fuzzy sets (PFSs). The weight of experts is determined by incorporating the average concept into the MABAC method. The resilience score of suppliers is calculated using an extended MABAC method with ideal positive and negative solutions. All indices are aggregated using the ordinal priority approach (OPA) to obtain a unique ranking. Additionally, we extend the MULTIMABAC method using PFSs to address uncertainty in supply chain decision-making. Results and sensitivity analysis demonstrate that the proposed method effectively facilitates knowledge sharing in selecting resilient suppliers. Therefore, organizations can use the proposed method to evaluate and choose resilient suppliers. Moreover, the MULTIMABAC method demonstrates robustness to variations in the weights of its constituent parameters.

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An integrated multi-attributive border approximation area comparison (MABAC) method for evaluating resilience and knowledge sharing of suppliers in pythagorean fuzzy environment

Jafari,

Naghdi Khanachah

2024

Artif Intell Rev

View full text Add to dashboard Cite

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Evaluation of sustainable hydrogen production technologies by fuzzy AHP analysis with bootstrapping

Kshanh,

Tanaka

2024

Discov Anal

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Selection of sustainable food suppliers using the Pythagorean fuzzy CRITIC-MARCOS method

Wang,

Wang

et al. 2024

Information Sciences

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A novel resilient supplier and order allocation model with Pythagorean fuzzy sets based on Industry 4.0 initiatives

Cited by 3 publications

References 116 publications

An integrated multi-attributive border approximation area comparison (MABAC) method for evaluating resilience and knowledge sharing of suppliers in pythagorean fuzzy environment

An integrated multi-attributive border approximation area comparison (MABAC) method for evaluating resilience and knowledge sharing of suppliers in pythagorean fuzzy environment

Evaluation of sustainable hydrogen production technologies by fuzzy AHP analysis with bootstrapping

Selection of sustainable food suppliers using the Pythagorean fuzzy CRITIC-MARCOS method

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