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Risk is
the variability of outcome. For any
project, the estimates of time and costs
that are made during the initial and continuing
stage always change. Accepting the fact
that the estimate would change and to encounter
the difficulty caused by the change is the risk
analysis
.The Project Management Institute (PMI) defines
Project Risk Management as the “systematic
process of identifying, analyzing, and
responding to uncertain events or conditions in
a project.” Quantitative risk analysis is
defined as, “the process of analyzing the
consequences of risk on project objectives”.
Monte Carlo simulation is commonly used to
assess the project risk.
The risks associated with the cost or resources
can be managed in a generic simulation software
described elsewhere. In case of a project,
the scheduling is not a simple additive
algorithm. The concept of the critical
path is the central theme in any scheduling
algorithm. A
few project management software is designed
specifically to estimate the scheduling risk.
Examples are presented.
@ risk for project
:
It is an exhaustive package for serious
investigation about the risk. A
number of probability distribution can be
assumed. Concepts like probabilistic
branching that allows to assume multiple
critical path during simulation is allowed in
the algorithm. Similarly probabilistic
calendar to account for the weather can be
assumed. A view of the types of the risk
distribution in @ Risk is presented

Pert Master:
Pert master is one of the premium program
for risk analysis. MS Project data can be
easily imported for further study. An
output from Pert Master is presented

Risky Project:
This is also a
standard package for risk analysis. The
result after the simulation is presented in the
following manner.

The Gantt chart in Risky project shows the risk
distribution of each task as pointed out in the
figure. Like the previous package the
software is capable to import data from MS
Project and others with ease. Risky
project can also send results to Vanguard - a
quantitative optimization software for further
analysis like decision tree.
Ranger:
Ranger is an economical solution for risk
analysis. It is a MS Project add-on.
It can be called from the MS project. It
uses several custom fields of MS Project to
store data. It uses a triangular
distribution for time or cost variation as
presented here that should be adequate for most
purpose.


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