View source: R/mfpp.R View source: R/phase3.r

phase3 | R Documentation |

Phase 3 selects P percent of nodes (i.e. tasks) or arcs (i.e. dependencies), where the score value can be changed up to the maximal change effects.

```
phase3 (x,p=0.10, s=0.50, nW=0)
```

`x` |
is either a Project Domain Matrix (a numeric matrix), where PDM=[LD,TD, CD, <QD,RD>]. LD is an N by N upper triangular matrix of logic domain (a numeric matrix); TD is an N by w matrix of task durations (a numeric matrix); CD is an N by w matrix of cost demands (a numeric matrix); QD is an optinal N by w matrix of quality parameters (a numeric optional matrix); RD is an N by w*nR matrix of resource demands (a numeric optional matrix), or PDM list, which contain a PDM matrix, and the number of completion modes (w) and the number of resources. |

`p` |
Probability of structural change (default value is p=0.10). |

`s` |
Increase/decrease ratio of priorities (default value is s=0.50). |

`nW` |
Number of unplanned tasks (default value is nW=0). |

`PDMout` |
PDM matrix with same structure as the input PDM matrix (a matrix). |

Zsolt T. Kosztyan*, Aamir Saghir

e-mail: kzst@gtk.uni-pannon.hu

KosztyĆ”n, Z. T. (2022). MFPP: Matrix-based flexible project planning. SoftwareX, 17, 100973.

`tpc`

, `tpq`

, `tpt`

, `tpr`

,`phase1`

,`phase2`

,`maxscore_PEM`

, `generatepdm`

.

```
# Simulation of project domain matrix based on customer claims
# of a project scenario using MFPP package.
# Generate a project domain matrix based on
# logic domain, task duration, cost demans,
# quality parameters (optional), resource demand (optional) of a project.
PDM=generatepdm(30,0.05,0,20,30,20,2,2,2,QD=TRUE,lst=TRUE)
PDM
# Define probability factor for task selection and dependency selecton of a project.
p=0.10
# Choose a scale factor for the ration of modification.
s=0.10
# Simulate the effects of change of customer claims of a project scenario using MFPP package
# with default values.
Res<-phase3(PDM)
summary(Res)
# Simulate the effects of change of customer claims of a project scenario using MFPP package
# with specified values.
Res<-phase3(PDM$PDM,p,s,nW=2)
summary(Res,w=2,Rs=2)
```

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