mfpp (version 0.0.8)

phase1: Function to simulate estimation uncertainty.

Description

Simulating the effects of the estimation uncertainty.

Usage

phase1(x,a=-0.1,b=0.30,pdftype="uniform")

Value

PDMout

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

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.

a

optimistic duration, the negative percent deviation from the actual duration (a negative value). The default value is a=-0.1, which means if the actual duration is 1, the minimal possible duration is 0.9.

b

pessimistic duration, the positive percent deviation from the actual duration (a positive value). The default value is b=0.3, which means if the actual duration is 1, the maximal possible duration is 1.3.

pdftype

the pdftype is either 'uniform' or 'beta' (the default value is 'uniform'), which means the generated distribution either follows uniform or a beta distribution betweem interval [a,b]

Author

Zsolt T. Kosztyan*, Aamir Saghir

e-mail: [e-mail]

Details

The changed demands are generated by the interval between [o+a,o+b], where o is the original value. The random generator can follow uniform (=default), or beta distribution.

References

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

See Also

tpc, tpq, tpt, tpr,maxscore_PEM,phase2,phase3, 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 negative percentage deviation from actual duration.
a=-0.20

# Define negative percentage deviation from actual duration.
b=0.40

# Simulate the effects of estimation uncertainty of a project scenario using MFPP package
# with default values.
 Res<-phase1(PDM)
 summary(Res)

# Simulate the estimation uncertainty of customer claims of a project scenario using MFPP package
# with specified values.
 Res<-phase1(PDM$PDM,a,b,"beta")
 summary(Res,w=2,Rs=2)