ProjectManagement: Management of Deterministic and Stochastic Projects

Management problems of deterministic and stochastic projects. It obtains the duration of a project and the appropriate slack for each activity in a deterministic context. In addition it obtains a schedule of activities' time (Castro, Gómez & Tejada (2007) <doi:10.1016/j.orl.2007.01.003>). When the project is done, and the actual duration for each activity is known, then it can know how long the project is delayed and make a fair delivery of the delay between each activity (Bergantiños, Valencia-Toledo & Vidal-Puga (2018) <doi:10.1016/j.dam.2017.08.012>). In a stochastic context it can estimate the average duration of the project and plot a histogram of this duration. As in the deterministic case, it can make a distribution of the delay generated by observing the project already carried out.

Version: 1.1
Depends: R (≥ 3.5.0), triangle, plotly, kappalab, GameTheory
Published: 2019-01-07
Author: Juan Carlos Gonçalves Dosantos [aut, cre], Ignacio García Jurado [aut], Julián Costa Bouzas [aut]
Maintainer: Juan Carlos Gonçalves Dosantos <juan.carlos.goncalves at udc.es>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: ProjectManagement results

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Reference manual: ProjectManagement.pdf
Package source: ProjectManagement_1.1.tar.gz
Windows binaries: r-devel: ProjectManagement_1.1.zip, r-release: ProjectManagement_1.1.zip, r-oldrel: not available
OS X binaries: r-release: ProjectManagement_1.1.tgz, r-oldrel: not available
Old sources: ProjectManagement archive

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