View source: R/mfpp.R View source: R/phase2.R
phase2 | R Documentation |
Phase 2 simulates the shock effects. Where p percent of task demands can be increased up to s times.
phase2 (x,p=0.10, s=5.0)
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 factor for task selection (a numeric value between 0 and 1). The default value is p=1.00 |
s |
Scale factor: the ratio of the modification (a numeric integer). The default value is s=5.0 |
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
KosztyƔn, Z. T. (2022). MFPP: Matrix-based flexible project planning. SoftwareX, 17, 100973.
tpc
, tpq
, tpt
, tpr
,maxscore_PEM
,phase1
,phase3
, 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 of a project.
p=0.10
# Choose a scale factor for the ration of modification.
s=5.0
# Simulate the shock effect of a project scenario using MFPP package
# with default values.
Res<-phase2(PDM)
summary(Res)
# Simulate the effect of a project scenario using MFPP package
# with specified values.
Res<-phase2(PDM$PDM,p,s)
summary(Res,w=2,Rs=2)
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