A dynamic optimization model for solid waste recycling.
Identifieur interne : 000619 ( Main/Curation ); précédent : 000618; suivant : 000620A dynamic optimization model for solid waste recycling.
Auteurs : Davide Anghinolfi [Italie] ; Massimo Paolucci ; Michela Robba ; Angela Celeste TaramassoSource :
- Waste management (New York, N.Y.) ; 2013.
Descripteurs français
- Wicri :
- geographic : Italie.
English descriptors
- KwdEn :
- 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
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pubmed:23158873Le 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 wicri:level="1"><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>
<country xml:lang="fr">Italie</country>
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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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<author><name sortKey="Robba, Michela" sort="Robba, Michela" uniqKey="Robba M" first="Michela" last="Robba">Michela Robba</name>
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<series><title level="j">Waste management (New York, N.Y.)</title>
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<term>Geographic Information Systems</term>
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<term>Recycling (methods)</term>
<term>Solid Waste (analysis)</term>
<term>Waste Management (methods)</term>
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<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Recycling</term>
<term>Waste Management</term>
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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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