phase3 {mfpp}

Function to simulate the effects of the change of customer claims.

Description

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.

Usage

phase3 (x,p=0.10, s=0.50)

Arguments

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).

Value

PDMout

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

Author(s)

Zsolt T. Kosztyan*, Aamir Saghir

e-mail: [e-mail]

References

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

See Also

tpc, tpq, tpt, tpr,phase1,phase2,maxscore_PEM, generatepdm.

Examples

# 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)
 summary(Res,w=2,Rs=2)