Helder C. Silva 1, José A. Oliveira 2, Anabela P. Tereso 2
1 IFAM – Instituto Federal de Educação Tecnológica do Amazonas, Manaus, Brazil. E-mail: helder@ifam.edu.br
2 University of Minho, Guimarães, Portugal. E-mail: zan@dps.uminho.pt, E-mail: anabelat@dps.uminho
Resumo
Neste artigo abordamos a questão da alocação óptima dos recursos, mais especificamente, a análise da complementaridade dos recursos (recurso principal ou recurso-P e do recurso de suporte ou recurso-S) às actividades de um projecto. Neste artigo apresenta-se um algoritmo genético, baseado num alfabeto de chaves aleatórias, e analisa-se o procedimento para criar soluções a partir de um cromossoma.
Palavras-chave: Gestão de Projectos, Programação de Projectos, Complementaridade de Recursos.
]]> Abstract
We address the issue of optimal resource allocation, and more specifically, the analysis of complementarity of resources (primary resource or P-resource and supportive resource or S-resource) to activities in a project. In this paper we present a Genetic Algorithm, based in a random keys alphabet, and we analyse the procedure to build solutions from a chromosome.
Keywords: Project Management, Scheduling, Complementarity of resources.
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Full text only available in PDF format.
Referências
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]]> Tereso, A. P., Araujo, M., Moutinho, R., & Elmaghraby, S. (2009). Duration Oriented Resource Allocation Strategy on Multiple Resources Projects under Stochastic Conditions. International Conference on Industrial Engineering and Systems Management. Montreal - Canada.Tereso, A., Araújo, M., & Elmaghraby, S. (2008). Project management: multiple resources allocation. International Conference on Engineering Optimization. Rio de Janeiro - Brazil.
Tereso, A., Araújo, M., Moutinho, R., & Elmaghraby, S. (2009b). Quantity Oriented Resource Allocation Strategy on Multiple Resources Projects under Stochastic Conditions. International Conference on Industrial Engineering and Systems Management. Montreal - Canada.
Recebido/Recibido: 24/10/2010
Aceitação/Aceptación: 03/12/2010
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