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dc.date.accessioned 2022-09-12T16:48:21Z
dc.date.available 2022-09-12T16:48:21Z
dc.date.issued 2021
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/141897
dc.description.abstract The market dynamics and requirements prompt the competition among individual companies included in a supply chain (SC). It is well-known that all the SC members search to improve its efficiency and increase its competitiveness, and in most cases, the results do not correspond to an equitable distribution among all the members of the achieved benefits. However, SC approaches generally address as a performance measure the profits of the entire system. In this way, a counterpoint arises between the optimality of the overall results and the benefit perceived by each of the participants. In this work, a mixed integer programming model is presented to assess the impact of a solution on the performance of the different SC members. Specifically, the proposed approach evaluates the tactical operations in a forest SC comprising bucking planning at the forest sites and production planning of lumber, electric power and two kinds of boards, each one at its production plant. Besides, through the examples, integration versus individual concerns is appraised for an industry that has increasing conflicts of interest. en
dc.format.extent 210-223 es
dc.language en es
dc.title Alternatives for optimal integration of forest supply chain operations en
dc.type Objeto de conferencia es
sedici.identifier.uri http://50jaiio.sadio.org.ar/pdfs/siiio/SIIIO-32.pdf es
sedici.identifier.issn 2618-3277 es
sedici.creator.person Vanzetti, Nicolás es
sedici.creator.person Corsano, Gabriela es
sedici.creator.person Montagna, Jorge Marcelo 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 3.0 Unported (CC BY-NC-SA 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
sedici.date.exposure 2021-10
sedici.relation.event IV Simposio Argentino de Informática Industrial e Investigación Operativa (SIIIO 2021) - JAIIO 50 (Modalidad virtual) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)