Péter Veres – Sajid Nazir – Tamás Bányai
Effective waste collection, particularly selective waste collection, plays a crucial role in advancing sustainable development and protecting the environment. Unfortunately, proper waste separation is often neglected by individuals and organizations, leading to increased pollution and resource depletion. Large institutions like schools, offices, and factories face similar obstacles, often due to inadequate infrastructure for efficient waste bin placement. To address this issue, we developed an algorithm designed to optimize bin placement, addressing a Facility Location Problem, modeled as a graph-based task. Our approach identifies ideal bin locations to maximize efficiency and accessibility. We tested and validated the algorithm using data from a university campus, specifically implementing it at the University of Miskolc. This optimized layout not only promotes proper waste segregation but also encourages the university community to engage actively in sustainable waste practices.
Read the full paper here:
https://www.sciencedirect.com/science/article/pii/S240589632500789X?via%3Dihub