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dc.contributor.author
Yannibelli, Virginia Daniela
dc.contributor.author
Amandi, Analia Adriana
dc.date.available
2018-01-12T21:24:30Z
dc.date.issued
2012-04
dc.identifier.citation
Amandi, Analia Adriana; Yannibelli, Virginia Daniela; Project scheduling: A multi-objective evolutionary algorithm that optimizes the effectiveness of human resources and the project makespan; Taylor & Francis; Engineering Optimization; 45; 1; 4-2012; 45-65
dc.identifier.issn
0305-215X
dc.identifier.uri
http://hdl.handle.net/11336/33188
dc.description.abstract
In this article, the project scheduling problem is addressed in order to assist project managers at the early stage of scheduling. Thus, as part of the problem, two priority optimization objectives for managers at that stage are considered. One of these objectives is to assign the most effective set of human resources to each project activity. The effectiveness of a human resource is considered to depend on its work context. The other objective is to minimize the project makespan. To solve the problem, a multi-objective evolutionary algorithm is proposed. This algorithm designs feasible schedules for a given project and evaluates the designed schedules in relation to each objective. The algorithm generates an approximation to the Pareto set as a solution to the problem. The computational experiments carried out on nine different instance sets are reported.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Taylor & Francis
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Project Scheduling
dc.subject
Human Resource Assignement
dc.subject
Multi-Skilled Resources
dc.subject
Effectiveness of Human Resources
dc.subject.classification
Ciencias de la Computación
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Project scheduling: A multi-objective evolutionary algorithm that optimizes the effectiveness of human resources and the project makespan
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-11-28T18:47:34Z
dc.journal.volume
45
dc.journal.number
1
dc.journal.pagination
45-65
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Yannibelli, Virginia Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.description.fil
Fil: Amandi, Analia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.journal.title
Engineering Optimization
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/0305215X.2012.658782
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/abs/10.1080/0305215X.2012.658782
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