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dc.date.accessioned 2023-04-20T12:58:04Z
dc.date.available 2023-04-20T12:58:04Z
dc.date.issued 2022
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/151840
dc.description.abstract In the forestry industry, residues are generated when the stands are exploited and during the production of wood. The residues can be used to obtain incomes and generate thermal and electrical energy. This work presents a MILP formulation aimed at optimizing the topology of the supply chain and the material flows of a forestry-industrial company that has a power generation plant. The objective function of the formulation aims at  maximizing the company profit while its constraints set the supply chain configuration. Optimal material flows within the chain are consequently fixed. The model of the supply-chain was solved with GAMS and the optimal configuration and flows for several scenarios were obtained. Analyzing these variations, it can be affirmed that considering a new structure in the supply chain allows improving the profitability of the organization. en
dc.format.extent 131-144 es
dc.language en es
dc.subject Forestry biomass es
dc.subject Cogeneration es
dc.subject Supply chain topology es
dc.subject Optimal material flows es
dc.title Optimal design of the supply chain for cogeneration of energy from forest biomass en
dc.type Objeto de conferencia es
sedici.identifier.uri https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/337/278 es
sedici.identifier.issn 2451-7496 es
sedici.creator.person Rodriguez, Salomé es
sedici.creator.person Broz, Diego es
sedici.creator.person Zeballos, Luis es
sedici.creator.person Dondo, Rodolfo es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2022-10
sedici.relation.event Simposio Argentino de Informática Industrial e Investigación Operativa (SIIIO 2022) - JAIIO 51 (Modalidad virtual y presencial (UAI), octubre 2022) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)