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

Miguel Reyna-Castillo, Alejandro Santiago, Salvador Ibarra Martínez and José Antonio Castán Rocha
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Miguel Reyna-Castillo: Faculty of Law and Social Sciences, Centro Universitario Tampico-Madero, Autonomous University of Tamaulipas, Tampico 89339, 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

Mathematics, 2022, vol. 10, issue 14, 1-18

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.

Keywords: social sustainability; resilience; supply chain; Latin America; fuzzy logic; evolutionary algorithm; SEM-PLS (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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