Work

A Global Approach Based on K-Means Clustering Principle for Optimal Smartphones and Laptops Batteries Waste Collection in Algeria

Year: 2024

Type: conference-paper

Abstract: Rapid urbanization and population growth in developing countries have posed significant challenges for solid waste management. This is clearly evident in African countries including Algeria, where environmental concerns are not effectively managed. The purpose of this article is to design a network to facilitate waste collection in Algeria. A location allocation-based clustering approach is proposed, that implements mixed-integer linear programming models to optimize the placement of waste collection points and intermediate centers. GIS and clustering techniques are used to reduce transportation costs while providing effective waste management coverage.

DOI: 10.1109/afros62115.2024.11036990

Authors: Asma Djellouli, Mohammed Bennekrouf, M'hammed Sahnoun, Belgacem Bettayeb

Institutions: University of Abou Bekr Belkaïd, École Supérieure en Sciences Appliquées de Tlemcen, Centre d'Etudes Superieures Industrielles

Language: English

Topic: Municipal Solid Waste Management

Subfield: Waste Management and Disposal

Field: Environmental Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Responsible consumption and production, Sustainable cities and communities, Clean water and sanitation

Open Access status: green

OpenAlex ID: W4411552158

FWCI:

Cites: 14

Cited by:

Related to: 10