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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

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A method for optimizing waste collection using mathematical programming: a Buenos Aires case study.

Flavio Bonomo¹, Guillermo Durán, Frederico Larumbe

¹Departamento de Computación, FCEyN, Universidad de Buenos Aires, Buenos Aires, Argentina.

Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA

|April 5, 2011

Summary

This study optimizes waste collection routes using operations research, reducing travel distances by 10-40%. This leads to significant cost savings and reduced vehicle wear and tear.

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Area of Science:

Operations Research
Transportation Logistics
Environmental Engineering

Background:

Waste collection route optimization is a complex logistical challenge.
Existing routes may not be efficient, leading to increased costs and environmental impact.
Minimizing vehicle wear and tear is crucial for operational sustainability.

Purpose of the Study:

To develop and apply an operations research method for optimizing waste collection routes.
To incorporate vehicle wear and tear, measured by mechanical work, into the optimization criteria.
To demonstrate the method's effectiveness through a case study in Buenos Aires.

Main Methods:

Reducing the waste collection problem to the Traveling Salesman Problem (TSP).
Solving the TSP using the Concorde solver program.
Employing graph theory and mathematical programming, including data correction.

Main Results:

Achieved route distance reductions of 10-40% in the studied areas.
Demonstrated substantial decreases in mechanical work and vehicle wear and tear.
Projected annual savings exceeding US $200,000 for Buenos Aires civic authorities.

Conclusions:

The proposed method effectively optimizes waste collection routes, minimizing distance and vehicle wear.
Significant financial savings and qualitative benefits (reduced pollution, traffic, driver fatigue) are achievable.
The approach offers a scalable solution for municipal waste management systems.