Affiliation:
1. São Paulo State University
Abstract
Abstract
Waste electrical and electronic equipment (WEEE) have been largely generated in Brazil and worldwide. Besides the interest in recovering their valuable materials, some contain potentially hazardous components that must be removed and destined for treatment. WEEE pre-treatment is a critical step to efficiently sort and recover such components, but data availability is scarce in Brazil and developing countries, what may hinder feasibility analyses for its wider implementation. There is an increasing demand for studies that analyse the feasibility of WEEE reverse logistics systems, supporting their optimization. The present study analysed the feasibility of implementing WEEE pre-treatment units in a Brazilian municipality based on different levels of WEEE disassembly (A - basic; B - intermediate; and C - advanced) and implementation scenarios. Using the StEP tool and the multicriteria method ELECTRE TRI, the study classified implementation alternatives into three categories: more feasible; intermediate; and less feasible. The most feasible scenarios were related to an intermediate disassembly level (B). Alternatives with at least two pre-treatment units within the city were more feasible, even after some sensitivity analyses, indicating the advantages of smaller units and lower transport distances. This result may represent the reality of similar cities, both in Brazil and in developing countries.
Publisher
Research Square Platform LLC
Reference64 articles.
1. Estimating the generation of household e-waste in municipalities using primary data from surveys: A case study of Sao Jose dos Campos, Brazil;Abbondanza MNM,2019
2. ABDI (2013) Logística Reversa de Equipamentos Eletroeletrônicos: Análise de Viabilidade Técnica e Econômica. ABDI. http://www.resol.com.br/textos/dwnl_1362058667.pdf. Accessed 15 June 2022
3. ABRELPE (2022). Panorama dos Resíduos Sólidos no Brasil 2022. ABRELPE. https://abrelpe.org.br/panorama-2022. Accessed 09 December 2022.
4. Decision support system for the optimal location of electrical and electronic waste treatment plants: A case study in Greece;Achillas C;Waste Manag
5. Prioritizing critical success factors for reverse logistics implementation using fuzzy-TOPSIS methodology;Agrawal S;J Ind Eng Int,2016