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Process Simulation is the quantitative evaluation and experimentation
of a process model in order to find ways to improve it. By using
process simulation, organizations can ask themselves “what
would happen if” they changed the model parameters in various
ways. This enables them to arrive at the parameters required
for an optimal process.
Most process simulation is done using digitized
processes which
explicitly define time, cost, resources, and events. A process
simulation then uses test data made up of several process
scenarios to evaluate the model. This test data can come from an organization’s
historical process data to most closely reflect real experience.
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For example, the
process of coordinating airplane arrival and departure scheduling
with gate utilization and an integrated worldwide flight control
system could use historical flight experience as an input to
the simulation.
Advanced business process
analysis and modeling tools provide
a set of simulation capabilities that process designers can use.
Very complex problems often require simulation from statisticians
using specialized simulation and optimization tools.
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