Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/8636

TitleBasic approximations to an adaptive resource allocation technique to stochastic multimodal projects
Author(s)Tereso, Anabela Pereira
Araújo, Maria Madalena Teixeira de
Elmaghraby, Salah
KeywordsActivity networks
Resource allocation
Dynamic programming
Issue dateJul-2003
CitationEURO/INFORMS JOINT INTERNATIONAL MEETING, Istanbul, Turkey, 2003 – “Proceedings of Euro/Informs Joint International Meeting.” [S.l. : s.n., 2003].
Abstract(s)This paper presents three basic approximations developed to solve the Adaptive Stochastic Multimodal Resource Allocation Problem. Two of them are based on the DP model introduced in earlier papers ([23], [24]). The other one uses NLP to solve this problem. The approximations developed consist in considering the Work Content of some or all the activities of the project as represented by their mean values. These approximations were applied to a set of examples, and results were obtained and commented. As expected, running times were reduced, compared to the original model, but the total cost was underestimated, due to the use of means instead of the complete distribution.
TypeConference paper
URIhttp://hdl.handle.net/1822/8636
AccessOpen access
Appears in Collections:CGIT - Publicações em actas de encontros científicos / Papers in conference proceedings
CESP - Textos Completos em Actas de Encontros Científicos Internacionais com Arbitragem


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