Work

Waste Management Through Digital Twins and Business Process Modeling

Year: 2024

Type: conference-paper

Abstract: Littering is an environmental problem that affects citizens' economy, safety, and health. Natural and rural areas are often targets of abandoned littering, while urban areas often accumulate more waste than can be disposed of in a timely manner. Minimizing littering and waste is a critical sustainability challenge requiring the cooperation of different professionals and agencies. In this paper, we report our vision and preliminary proposal for a model-driven approach to address the automated localization and identification of abandoned waste. Our solution envisages the usage of digital process twins to enable the specification of cost-effective and self-adaptive procedures fed by data crowdsourced from the real world.

Source: ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS)

DOI: 10.1145/3652620.3687796

Authors: Amleto Di Salle, Arianna Fedeli, Ludovico Iovino, Leonardo Mariani, Daniela Micucci, Luciana Rebelo, Maria Teresa Rossi

Institutions: Gran Sasso Science Institute, University of Milano-Bicocca

Language: English

Topic: Waste Management and Recycling

Subfield: Waste Management and Disposal

Field: Environmental Science

Domain: Physical Sciences

SDGs: Responsible consumption and production, Sustainable cities and communities

Open Access status: hybrid

OpenAlex ID: W4403935659

FWCI: 8.386

Cites: 7

Cited by: 6

Related to: 10