Smart Waste Management in the Age of Industry 4.0: IoT, AI and Blockchain Applications in Circular Economy Systems

The rapid urbanization and technological advancement of the 21st century have necessitated revolutionary approaches to waste management that transcend traditional linear models. This comprehensive review examines the integration of Industry 4.0 technologies, specifically Internet of Things (IoT), Artificial Intelligence (AI), and blockchain, in developing circular economy-based waste management systems. Through systematic analysis of recent literature and technological implementations, this study demonstrates how these emerging technologies collectively transform waste management from a cost center into a value-creating circular economy component. The research reveals that IoT-enabled smart bins and monitoring systems enhance collection efficiency by up to 40%, while AI-driven classification and optimization reduce operational costs by 25-35%. Blockchain technology provides unprecedented transparency and traceability in waste streams, facilitating circular economy principles. The convergence of these technologies creates synergistic effects that support sustainable urban development, environmental conservation, and economic optimization in waste management systems.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-31
DOI
https://doi.org/10.5281/zenodo.17789340
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Waste Management in the Age of Industry 4.0: IoT, AI and Blockchain Applications in Circular Economy Systems

Zenodo (CERN European Organization for Nuclear Research)
Municipal Solid Waste Management
article

Smart Waste Management in the Age of Industry 4.0: IoT, AI and Blockchain Applications in Circular Economy Systems

article en

Abstract

The rapid urbanization and technological advancement of the 21st century have necessitated revolutionary approaches to waste management that transcend traditional linear models. This comprehensive review examines the integration of Industry 4.0 technologies, specifically Internet of Things (IoT), Artificial Intelligence (AI), and blockchain, in developing circular economy-based waste management systems. Through systematic analysis of recent literature and technological implementations, this study demonstrates how these emerging technologies collectively transform waste management from a cost center into a value-creating circular economy component. The research reveals that IoT-enabled smart bins and monitoring systems enhance collection efficiency by up to 40%, while AI-driven classification and optimization reduce operational costs by 25-35%. Blockchain technology provides unprecedented transparency and traceability in waste streams, facilitating circular economy principles. The convergence of these technologies creates synergistic effects that support sustainable urban development, environmental conservation, and economic optimization in waste management systems.

Zenodo (CERN European Organization for Nuclear Research)
Michigan Technological University (US)
Sustainable cities and communities
Openalex Percentile: Top 42%
Municipal Solid Waste Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.