Smart Data-Based Architecture for e-waste Management in Perú

Arroyo-Paz A.; Sotomayor D.A.Y.; Abarca J.E.S.; Antaurco S.C.S.; Yancce G.L.M. · Lecture Notes in Networks and Systems (2025) · DOI: 10.1007/978-3-032-03406-9_23

Resumen

The management of electronic waste (e-waste) has become a global environmental and social challenge due to the rapid growth in the consumption of electronic devices and their frequent obsolescence. In Peru, e-waste regulations have been in place since 2012, but the efficient management of this waste remains limited. According to the United Nations Industrial Development Organization, only 3% of e-waste in Latin America is collected and managed properly, leaving 97% uncontrolled, representing an environmental risk and an economic loss of US$1.7 billion annually in recoverable materials. To address this problem, the design of an optimized data architecture is proposed to improve traceability, storage and analysis of data on the generation and disposal of e-waste. The implementation of technologies such as IoT, machine learning and real-time monitoring platforms will facilitate data-driven decision making and improve collection and recycling efficiency. The use of advanced technological infrastructures and social awareness are key elements to improve sustainability and reduce the environmental impact of e-waste. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Instituciones: Universidad Tecnológica del Perú; Universidad Nacional Federico Villarreal