Aplicação da lógica fuzzy para analisar o desempenho da logística de sustentabilidade em departamentos industriais

Abstract

Bearing in mind that the improvement of sustainable logistics activities tend to reduce social, environmental and economic impacts, models for measuring the level of sustainability as a support tool in decision making are increasingly relevant to the process of identifying companies/departments, which need sustainable best practice in order to mitigate costs or increase profit. The objective of the research is to analyze the performance of sustainability logistics in departments of three companies in the electronic segment. As a methodology to develop the research, a sustainable analysis is carried out using a Fuzzy inferences model, in order to consolidate an expert agent, who is able to measure or indicate the level of sustainability performance in the Human Resources (HR) departments. Heritage and Information Technology (IT), the data set for analysis and inference of the input and output variables are in line with the characteristics of activities and practices performed in each department. As a result, it was possible to identify an influence of the “Priority” variable as a function of “Performance”, in addition, company 1 in the electronic segment presented a performance of 87.6 for HR, 88.1 for IT and 65.5 for Equity with the level of “Performance” in Sustainability.