OperaV1, PubMed, Corpus, bibRecord, 000252

A dynamic optimization model for solid waste recycling.

Identifieur interne : 000252 ( PubMed/Corpus ); précédent : 000251; suivant : 000253

A dynamic optimization model for solid waste recycling.

Auteurs : Davide Anghinolfi ; Massimo Paolucci ; Michela Robba ; Angela Celeste Taramasso

Source :

Waste management (New York, N.Y.) ; 2013.

RBID : pubmed:23158873

English descriptors

KwdEn :
- Decision Making, Geographic Information Systems, Italy, Models, Theoretical, Recycling (methods), Solid Waste (analysis), Waste Management (methods).
MESH :
- chemical , analysis : Solid Waste.
- geographic : Italy.
- methods : Recycling, Waste Management.
- Decision Making, Geographic Information Systems, Models, Theoretical.

Abstract

Recycling is an important part of waste management (that includes different kinds of issues: environmental, technological, economic, legislative, social, etc.). Differently from many works in literature, this paper is focused on recycling management and on the dynamic optimization of materials collection. The developed dynamic decision model is characterized by state variables, corresponding to the quantity of waste in each bin per each day, and control variables determining the quantity of material that is collected in the area each day and the routes for collecting vehicles. The objective function minimizes the sum of costs minus benefits. The developed decision model is integrated in a GIS-based Decision Support System (DSS). A case study related to the Cogoleto municipality is presented to show the effectiveness of the proposed model. From optimal results, it has been found that the net benefits of the optimized collection are about 2.5 times greater than the estimated current policy.

DOI: 10.1016/j.wasman.2012.10.006
PubMed: 23158873

Links to Exploration step

pubmed:23158873

Le document en format XML

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<author><name sortKey="Anghinolfi, Davide" sort="Anghinolfi, Davide" uniqKey="Anghinolfi D" first="Davide" last="Anghinolfi">Davide Anghinolfi</name>
<affiliation><nlm:affiliation>DIBRIS - Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Via Opera Pia 13, 16145 Genova, Italy. davide.anghinolfi@unige.it</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Paolucci, Massimo" sort="Paolucci, Massimo" uniqKey="Paolucci M" first="Massimo" last="Paolucci">Massimo Paolucci</name>
</author>
<author><name sortKey="Robba, Michela" sort="Robba, Michela" uniqKey="Robba M" first="Michela" last="Robba">Michela Robba</name>
</author>
<author><name sortKey="Taramasso, Angela Celeste" sort="Taramasso, Angela Celeste" uniqKey="Taramasso A" first="Angela Celeste" last="Taramasso">Angela Celeste Taramasso</name>
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<author><name sortKey="Paolucci, Massimo" sort="Paolucci, Massimo" uniqKey="Paolucci M" first="Massimo" last="Paolucci">Massimo Paolucci</name>
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<author><name sortKey="Robba, Michela" sort="Robba, Michela" uniqKey="Robba M" first="Michela" last="Robba">Michela Robba</name>
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<author><name sortKey="Taramasso, Angela Celeste" sort="Taramasso, Angela Celeste" uniqKey="Taramasso A" first="Angela Celeste" last="Taramasso">Angela Celeste Taramasso</name>
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<front><div type="abstract" xml:lang="en">Recycling is an important part of waste management (that includes different kinds of issues: environmental, technological, economic, legislative, social, etc.). Differently from many works in literature, this paper is focused on recycling management and on the dynamic optimization of materials collection. The developed dynamic decision model is characterized by state variables, corresponding to the quantity of waste in each bin per each day, and control variables determining the quantity of material that is collected in the area each day and the routes for collecting vehicles. The objective function minimizes the sum of costs minus benefits. The developed decision model is integrated in a GIS-based Decision Support System (DSS). A case study related to the Cogoleto municipality is presented to show the effectiveness of the proposed model. From optimal results, it has been found that the net benefits of the optimized collection are about 2.5 times greater than the estimated current policy.</div>
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<Title>Waste management (New York, N.Y.)</Title>
<ISOAbbreviation>Waste Manag</ISOAbbreviation>
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<ArticleTitle>A dynamic optimization model for solid waste recycling.</ArticleTitle>
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<Abstract><AbstractText>Recycling is an important part of waste management (that includes different kinds of issues: environmental, technological, economic, legislative, social, etc.). Differently from many works in literature, this paper is focused on recycling management and on the dynamic optimization of materials collection. The developed dynamic decision model is characterized by state variables, corresponding to the quantity of waste in each bin per each day, and control variables determining the quantity of material that is collected in the area each day and the routes for collecting vehicles. The objective function minimizes the sum of costs minus benefits. The developed decision model is integrated in a GIS-based Decision Support System (DSS). A case study related to the Cogoleto municipality is presented to show the effectiveness of the proposed model. From optimal results, it has been found that the net benefits of the optimized collection are about 2.5 times greater than the estimated current policy.</AbstractText>
<CopyrightInformation>Copyright © 2012 Elsevier Ltd. All rights reserved.</CopyrightInformation>
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A dynamic optimization model for solid waste recycling.

A dynamic optimization model for solid waste recycling.

Source :

English descriptors

Abstract

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki