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Social Sustainability and Resilience in Supply Chains of Latin America on COVID-19 Times: Classification Using Evolutionary Fuzzy Knowledge

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  • Miguel Reyna-Castillo

    (Faculty of Law and Social Sciences, Centro Universitario Tampico-Madero, Autonomous University of Tamaulipas, Tampico 89339, Mexico
    Área de Negocios y Humanidades, Universidad del Noreste, Prolongación Av. Hidalgo 6315, Col. Nuevo Aeropuerto, Tampico 89337, Mexico)

  • Alejandro Santiago

    (Faculty of Engineering “Arturo Narro Siller”, Centro Universitario Tampico-Madero, Autonomous University of Tamaulipas, Tampico 89339, Mexico)

  • Salvador Ibarra Martínez

    (Faculty of Engineering “Arturo Narro Siller”, Centro Universitario Tampico-Madero, Autonomous University of Tamaulipas, Tampico 89339, Mexico)

  • José Antonio Castán Rocha

    (Faculty of Engineering “Arturo Narro Siller”, Centro Universitario Tampico-Madero, Autonomous University of Tamaulipas, Tampico 89339, Mexico)

Abstract

The number of research papers interested in studying the social dimension of supply chain sustainability and resilience is increasing in the literature. However, the social dimension is complex, with several uncertainty variables that cannot be expressed with a traditional Boolean logic of totally true or false. To cope with uncertainty, Fuzzy Logic allows the development of models to obtain crisp values from the concept of fuzzy linguistic variables. Using the Structural Equation Model by Partial Least Squares (SEM-PLS) and Evolutionary Fuzzy Knowledge, this research aims to analyze the predictive power of social sustainability characteristics on supply chain resilience performance in the context of the COVID-19 pandemic with representative cases from Mexico and Chile. We validate our approach using the Chile database for training our model and the Mexico database for testing. The fuzzy knowledge database has a predictive power of more than 80%, using social sustainability features as inputs regarding supply chain resilience in the context of the COVID-19 pandemic disruption. To our knowledge, no works in the literature use fuzzy evolutionary knowledge to study social sustainability in correlation with resilience. Moreover, our proposed approach is the only one that does not require a priori expert knowledge or a systematic mathematical setup.

Suggested Citation

  • Miguel Reyna-Castillo & Alejandro Santiago & Salvador Ibarra Martínez & José Antonio Castán Rocha, 2022. "Social Sustainability and Resilience in Supply Chains of Latin America on COVID-19 Times: Classification Using Evolutionary Fuzzy Knowledge," Mathematics, MDPI, vol. 10(14), pages 1-18, July.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:14:p:2371-:d:856918
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    References listed on IDEAS

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    2. Di Liang & Ran Bhamra & Zhongyi Liu & Yucheng Pan, 2022. "Risk Propagation and Supply Chain Health Control Based on the SIR Epidemic Model," Mathematics, MDPI, vol. 10(16), pages 1-16, August.

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