Simulation of Electronic Waste Reverse Chains for the Sao Paulo Circular Economy: An Artificial Intelligence-Based Approach for Economic and Environmental Optimizations
Year: 2023
Type: article
Abstract: The objective of this study was to apply simulation and genetic algorithms for the economic and environmental optimization of the reverse network (manufacturers, waste managers, and recyclers in Sao Paulo, Brazil) of waste from electrical and electronic equipment (WEEE) to promote the circular economy. For the economic evaluation, the reduction in fuel, drivers, insurance, depreciation, maintenance, and charges was considered. For the environmental evaluation, the impact of abiotic, biotic, water, land, air, and greenhouse gases was measured. It was concluded that the optimized structure of the WEEE reverse chains for Sao Paulo, Brazil provided a reduction in the number of collections, thus making the most of cubage. It also generated economic and environmental gains, contributing to the strategic actions of the circular economy. Therefore, the proposed approach is replicable in organizational practice, which is mainly required to meet the 2030 agenda of reducing the carbon footprint generated by transport in large cities. Thus, this study can guide companies in structuring the reverse WEEE chains in Sao Paulo, Brazil, and other states and countries for economic and environmental optimization, which is an aspect of great relevance considering the exponential generation of WEEE.
Source: Sensors
DOI: 10.3390/s23229046
Authors: Geraldo Cardoso de Oliveira Neto, Sidnei Alves de Araujo, Robson Aparecido Gomes, Dario Henrique Alliprandini, Fabio Richard Flausino, Marlene Amorim
Language: English
Subfield: Strategy and Management
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,669
Awards: Simulation of reverse logistics of electronic waste in the state of São Paulo to promote the circular economy: economic and environmental optimization in the context of industry 4.0, Unidade de Investigação em Governança, Competitividade e Políticas Públicas, Unidade de Investigação em Governança, Competitividade e Políticas Públicas, G5994300172, G8905110337
OpenAlex ID: W4388516109
