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Aggregation-based decomposition for multi-divisional models

dc.contributor.authorLitvinchev, I. S.
dc.contributor.authorSilva, G. N. [UNESP]
dc.contributor.authorTreskov, P. Yu [UNESP]
dc.contributor.institutionComputing Center Russian Academy of Sciences
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T20:08:19Z
dc.date.available2022-04-28T20:08:19Z
dc.date.issued1999-12-01
dc.description.abstractThe aggregation theory of mathematical programming is used to study decentralization in convex programming models. A two-level organization is considered and a aggregation-disaggregation scheme is applied to such a divisionally organized enterprise. In contrast to the known aggregation techniques, where the decision variables/production planes are aggregated, it is proposed to aggregate resources allocated by the central planning department among the divisions. This approach results in a decomposition procedure, in which the central unit has no optimization problem to solve and should only average local information provided by the divisions. Copyright © 1999 by MAK Hayka/Interperiodica.en
dc.description.affiliationComputing Center Russian Academy of Sciences, Moscow
dc.description.affiliationDCCE/IBILCE/UNESP, S. J. Rio Preto
dc.description.affiliationUnespDCCE/IBILCE/UNESP, S. J. Rio Preto
dc.format.extent244-254
dc.identifier.citationJournal of Computer and Systems Sciences International, v. 38, n. 2, p. 244-254, 1999.
dc.identifier.issn1064-2307
dc.identifier.scopus2-s2.0-33747435511
dc.identifier.urihttp://hdl.handle.net/11449/224792
dc.language.isoeng
dc.relation.ispartofJournal of Computer and Systems Sciences International
dc.sourceScopus
dc.titleAggregation-based decomposition for multi-divisional modelsen
dc.typeArtigo
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Pretopt
unesp.departmentCiências da Computação e Estatística - IBILCEpt

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