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dc.contributor.authorToffolo, Túlio Ângelo Machado-
dc.contributor.authorSantos, Haroldo Gambini-
dc.contributor.authorCarvalho, Marco Antonio Moreira de-
dc.contributor.authorSoares, Janniele Aparecida-
dc.identifier.citationTOFFOLO, T. A. M. et al. An integer programming approach to the multimode resource-constrained multiproject scheduling problem. Journal of Scheduling, v. 19, n. 5, p. 295-307, 2016. Disponível em: <*~hmac=6af17dc04a689c25c355b7d8e2f8bb745ff2050e1ae15aae5f2704fa34286a23>. Acesso em: 20 jan. 2017.pt_BR
dc.description.abstractThe project scheduling problem (PSP) is the subject of several studies in computer science, mathematics, and operations research because of the hardness of solving it and its practical importance. This work tackles an extended version of the problem known as the multimode resourceconstrained multiproject scheduling problem. A solution to this problem consists of a schedule of jobs from various projects, so that the job allocations do not exceed the stipulated limits of renewable and nonrenewable resources. To accomplish this, a set of execution modes for the jobs must be chosen, as the jobs’ duration and amount of needed resources vary depending on the mode selected. Finally, the schedule must also consider precedence constraints between jobs. This work proposes heuristic methods based on integer programming to solve the PSP considered in the Multidisciplinary International Scheduling Conference: Theory and Applications (MISTA) 2013 Challenge. The developed solver was ranked third in the competition, being able to find feasible and competitive solutions for all instances and improving best known solutions for some problems.pt_BR
dc.subjectMultidisciplinary International Scheduling Conference: Theory and Applications - MISTA - 2013 Challengept_BR
dc.titleAn integer programming approach to the multimode resource-constrained multiproject scheduling problem.pt_BR
dc.typeArtigo publicado em periodicopt_BR
Appears in Collections:DECOM - Artigos publicados em periódicos

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