maxscore_PEM: Function to calculate maximal score value (PMAX) of possible...

In mfpp: 'Matrix-Based Flexible Project Planning'

Function to calculate maximal score value (PMAX) of possible project scenarios.

Description

Calculate maximal score value (PMAX) of possible project scenarios.

Usage

maxscore_PEM(PEM, P=PEM, Q=1-PEM)

Arguments

PEM	N by N upper triangular adjacency matrix of logic network (a numeric matrix).
P	N by N score matrix of task/dependency inclusion (a numeric matrix). The default P matrix is P=PEM
Q	N by N score matrix of task/dependency exclusion (a numeric matrix). The default Q matrix is Q=1-PEM

Value

score

The maximal score value of the project scenario (a scalar).

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, tpr, tpt.

Examples

# Calculatation of the maximal score value of the project scenario using MFPP package.


# Define a 3 by 3 upper triangular adjacency matrix (PEM) of logic domain of a project.

PEM <- rbind(c(0.8,0.4,0.8),
             c(0.0,0.7,0.7),
             c(0.0,0.0,0.4))

# Define a 3 by 3 score matrix of task/dependency inclusion.
P <- PEM

# Define a 3 by 3 score matrix of task/dependency exclusion.
Q <- 1-P

# Calculation of the maximal score value of the project using MFPP package.
maxscore_PEM(PEM,P, Q)

mfpp documentation built on June 22, 2024, 9:35 a.m.