Fuzzy Logic Method for Measuring Sustainable Decent Work Levels as a Corporate Social Responsibility Approach

Alma Nataly Abundes-Recilla, Diego Seuret-Jiménez, Martha Roselia Contreras-Valenzuela () and José M. Nieto-Jalil ()
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Alma Nataly Abundes-Recilla: Faculty of Chemical Sciences and Engineering (FCQeI), Autonomous University of Morelos State (UAEM), Avenida Universidad 1001, Colonia Chamilpa, Cuernavaca, Morelos CP 62209, Mexico
Diego Seuret-Jiménez: Research Centre in Engineering and Applied Sciences, Autonomous University of Morelos State (UAEM), Avenida Universidad 1001, Colonia Chamilpa, Cuernavaca, Morelos CP 62209, Mexico
Martha Roselia Contreras-Valenzuela: Faculty of Chemical Sciences and Engineering (FCQeI), Autonomous University of Morelos State (UAEM), Avenida Universidad 1001, Colonia Chamilpa, Cuernavaca, Morelos CP 62209, Mexico
José M. Nieto-Jalil: Tecnologico de Monterrey, School of Engineering and Sciences, Reserva Territorial Atlixcáyotl, Puebla CP 72453, Mexico

Sustainability, 2024, vol. 16, issue 5, 1-20

Abstract: The purpose of this study was to propose an interactive computer system that utilises the MATLAB Fuzzy Logic Designer to measure the level of implementation of SDG 8, which focuses on sustainable decent work (SDW) and economic growth. This study used policies and laws as parameters to determine the presence or absence of SDW. The fuzzy method was implemented in car windshield manufacturing in the auto parts industry as a case study to define and quantify work conditions and to determine the level of sustainable decent work (SDWL). The study described environmental conditions, such as noise, lighting, and heat stress; ergonomic factors, such as exposure time, the mass of the object manipulated, and lifting frequency; and organisation at work, such as workplace violence, salary, and workday, as linguistic variables. The level of the presence or absence of SDW was defined as their membership functions. The resulting vectors determined the absence of SDW with a score of 1.5 in two linguistic variables: environmental conditions and ergonomic factors. Some features of SDW in the linguistic variable organisation at work had an SDW score of 5. The SDWL vector determined a final score of 1.24, indicating the absence of decent work in production areas. This study found that the workers suffer a lack of long and healthy lives and a bad standard of living without economic growth due to work-related musculoskeletal disorders and work illnesses, increasing their out-of-pocket spending and catastrophic health expenses. As a CSR approach, assessing SDWLs helped managers improve policies and work conditions.

Keywords: corporate social responsibility; fuzzy logic; decent work; ergonomic risk evaluation; work conditions (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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