Demos

Defining the Project object

We start by defining the Project object.

using ProjectManagement

proj = Project(
    (
        start=0,
        a = PertBeta(0,1,2),
        finish=0,
    ),
    [
        :start => :a,
        :a => :finish,
    ]
)

Project{NamedTuple{(:start, :a, :finish), Tuple{Int64, PertBeta{Int64}, Int64}}}((start = 0, a = PertBeta{Int64}(a=0, b=1, c=2), finish = 0), [:start => :a, :a => :finish])

Visualizing the PERT Chart

visualize_chart(proj; fontsize=4)

Critical Path

We can compute the critical path and it's cost using the critical_path function.

critical_path(proj)

[:start, :a, :finish] => 1.0

We can compute all the path costs using path_durations. For example we can find the critical path and near critical paths as:

path_durations(proj)[1:min(3, end)]

1-element Vector{Pair{Vector{Symbol}, Float64}}:
 [:start, :a, :finish] => 1.0

Sampling Durations

Using that Project object we can sample possible durations of the project. Which allows for statistical analysis of possible outcomes.

julia> using Statistics

julia> duration_samples = rand(proj, 100_000);

julia> mean(duration_samples)
1.0014490004047627

julia> minimum(duration_samples)
0.023555872199459864

julia> quantile(duration_samples, 0.25)
0.7190595387390734

julia> median(duration_samples)
1.0017416198478775

julia> quantile(duration_samples, 0.75)
1.283662665210795

julia> maximum(duration_samples)
1.9774393508288015

We can plot the distribution showing the probability density function for project completion duration.

density(proj)