I use the tool that used to be called Pertmaster.
Its powerful but has limited flexibility unless you have a version issued before Oracle removed VBA capability
and you have good VBA skills. For straightforward uncertainty in durations and network branching Its fine and
it interfaces well with Primavera of course, which is useful. The fact that the Gantt charts look like Primavera
assists in gaining acceptance for the analysis from the main schedulers and project managers.
There is a VBA risk factors module that implements independent distributions, which can be applied as multipliers
to designated tasks, but Its not a fully worked up commercial product and Oracle dont support it.
Oracle claim that Pertmaster can be used for cost modelling as well as schedules but its cost modelling
capabilities are limited compared to what one can achieve in @Risk for Excel. In addition, just as having
a Primavera look and feel assists in gaining acceptance from planners, Excel goes over well with estimators.
Many costs on large capital projects are more or less independent of duration, although escalation is subject
to phasing, and cost risk modelling constructs are not a good fit for a schedule based tool.
Im usually working with a set of risk drivers that overlap and apply separately to specific components of the
cost, eg. uncertainty in a bulk material quantity affects the bulk material supply cost and the labour hours
for installation while uncertainty in the supply rate affects only the bulk material supply cost and then
productivity and the labour rate affect the cost of the the labour.
Even if predictable relationships such as this were accommodated, odd things crop up that are a moments
work in Excel. eg. uncertainty about the balance between precast and in situ poured concrete was important
on a recent job and implemented in a couple of minutes.
I usually confine the schedule modelling to a summary view that represents the overall envelope within
which the work will be executed and import the distribution into Excel where I use @Risk to model costs
and link the schedule drivers to relevant time dependent costs such as overheads and temporary facilities.
Not only does this provide a sound set of modelling capabilities, it lends itself to a relatively concise
analysis that limits the time the project team have to devote to the risk assessment. Its also transparent
enough that they can be talked through the models inner workings easily, which is crucial to gaining acceptance
of the results.
Id like one tool that was a fully functional planning system linked to a rich open modelling environment that clients
project teams could understand but it doesnt exist at the moment and the combination of a planning tool and @Risk for Excel works well. Im not sure if the tool that was Pertmaster will maintain its favoured position though. Its extremely expensive and Oracle is similar to Microsoft when it comes to client relationships and support.