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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/38529
Title: 
Aggregation-based decomposition for multi-divisional models
Author(s): 
Institution: 
  • Russian Acad Sci
  • Universidade Estadual Paulista (UNESP)
ISSN: 
1064-2307
Abstract: 
The 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.
Issue Date: 
1-Mar-1999
Citation: 
Journal of Computer and Systems Sciences International. New York: Maik Nauka/interperiodica/springer, v. 38, n. 2, p. 244-254, 1999.
Time Duration: 
244-254
Publisher: 
Springer
Source: 
http://www.maik.ru/cgi-perl/search.pl?type=abstract&name=compsys&number=2&year=99&page=244
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/38529
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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