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Related Experiment Video

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

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

Published on: December 9, 2012

A multi-objective approach to solid waste management.

Giacomo Galante¹, Giuseppe Aiello, Mario Enea

¹Dipartimento di Tecnologia, Produzione Meccanica e Ingegneria Gestionale, Università di Palermo, Viale delle Scienze, Italy. galante@dtpm.unipa.it

Waste Management (New York, N.Y.)

|March 16, 2010

Summary

This study optimizes solid waste transfer station location and sizing, integrating vehicle selection to minimize costs and pollution. It offers a decision support system for efficient waste management operations.

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Area of Science:

Operations Research
Environmental Engineering
Logistics Management

Background:

Solid waste management requires efficient logistic chains, including transfer stations.
Optimizing transfer station location and vehicle selection is crucial for cost and environmental impact reduction.
Current models often lack integrated approaches for these complex decisions.

Purpose of the Study:

To develop an integrated optimization model for the localization and dimensioning of solid waste transfer stations.
To determine the optimal number and type of vehicles for waste transportation.
To address the conflicting objectives of minimizing total cost and environmental pollution.

Main Methods:

Multi-objective optimization framework.
Application of goal programming, weighted sum, and fuzzy multi-objective techniques.
Integrated approach considering investment and operational costs.

Main Results:

Demonstration of how decision-maker attitudes influence methodology and outcomes.
Validation of an effective decision support system for operational waste management.
Application of the model to the Palermo (Italy) optimal territorial ambit (OTA).

Conclusions:

The proposed decision support system provides a novel approach to operative waste management.
Different optimization techniques yield varying results based on decision-maker preferences.
Integrated optimization is key to balancing economic and environmental factors in waste logistics.