Application of fuzzy logic to analyze the performance of sustainability logistics in industrial departments

Ana Claudia Mota Castilho de  Moura; Sil Franciley dos Santos  Quaresma; Maria Inácia Favila Salum

doi:10.31686/ijier.vol9.iss8.3301

Authors

Ana Claudia Mota Castilho de Moura PPGEP/ITEC/UFPA
Sil Franciley dos Santos Quaresma PPGEP/ITEC/UFPA https://orcid.org/0000-0002-1651-7341
Maria Inácia Favila Salum Federal Institute of Sergipe https://orcid.org/0000-0003-2567-3095

DOI:

https://doi.org/10.31686/ijier.vol9.iss8.3301

Keywords:

Sustainability, Performance Evaluation, Logistics, Fuzzy Logic

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. Patrimony 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.

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Author Biographies

Ana Claudia Mota Castilho de Moura, PPGEP/ITEC/UFPA

Postgraduate Program in Process Engineering
Sil Franciley dos Santos Quaresma, PPGEP/ITEC/UFPA

Postgraduate Program in Process Engineering

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