MODELLING as a basis for managerial or technical decision


Modelling is about building representations of things in
real world. Modeling obtain a set of equations that describes the behavior of
the system.

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Models are means of understanding the problem involved in
building something. They are classified into three, physical mathematical and
process models. Physical models looks and feels like the real thing for example
statues. Mathematical uses mathematical equations and relationships to describe
something. And lastly the process model which involves steps to be followed for
something to be done, for instance a flow chart. Simulation uses the
mathematical model to determine the response of the system in different

Then modelling and simulation involves the use of models as
a basis of simulations to develop data as a basis for managerial or technical
decision making. Also seen as the way of appreciating the world around us
through creativity and imagination. This can facilitate understanding a
system’s behavior without actually testing the system in real world.


Modelling and simulation was designed to promote awareness
to students about how technology has improved over the years. This includes
mathematical models technical decision making innovative applications, simply
appreciating how far they have been useful to representation of things over
time. This course was made to provide a powerful platform on how to familiarize
ourselves with modelling abilities so as to assess the dynamic behavior of real
systems which involves verifying and solving the model including construction
and modelling formalism among others. Anyone can learn it.



One importance of simulation is its ability to display a
practical feedback. As mentioned earlier, simulation help designers to measure
how correct the model is before it is develop hence taking into consideration
the medical field where the drug need to be tested by machines before it is
made ready for use. Simulation is used as a means of minimizing costs because
it is preferred to conduct experiments that are said to be impossible and very
expensive in real life. Modern systems such as high technology factories are too
complex that the interactions can be treated only by simulation. It offers
opportunities for firsthand experiments because learners explore what they
learnt in class and they tend to realize the relationship of mathematical

In cases of mathematical simulations, it becomes clearer to
learners to understand the methods behind every concepts making it easier for
them to prosper academically. This means if simulation can be taught at earlier
age there will be smarter problem solvers who will beat the latest technologies
moreover discovering their potentials in this industry.

It is very easy to identify constraints on a simulated model
which means they can be solved before the construction of a physical model.
This can also apply in the aircraft industry where a fault in a newly invented
aero-plane can be identified before its construction. This also save lives, in
general, simulation save lives

When dealing with simulated systems it is easy to upgrade it
into a better and more efficient product. Taking cars into consideration for
example, when a BMW want to produce better car, the don’t start afresh, they
just edit the simulated system, doing little touches, adding few qualities
corresponding to what they want to have at the end which a faster, less fuel
consuming car.

Even though simulation is used for many systems, there are cases where it is
not appropriate to use simulation for instance, if the problem can be solved
analytically or when it is easier to perform direct experiments.



Designing an automobile, the knowledge of simulation help in
designing a perfect aircraft that can withstand all the conditions like hash weather
and crashes. This is implemented through testing of a simulated system before
the actual model is created hence saving money because there will be no crashes.

Military application is one of the crucial fields of application
of simulation. Different powerful and more dangerous weapons are created
therefore before they are brought to production they go through analysis in the
simulated systems. How these weapons affect the environment can be minimized hence
the production of powerful but more environmentally friendly weapons.

One of the most important application of simulation is under
weather forecast. All the machines used to predict the weather where high
temperatures are simulated using powerful computers. If the model is correct,
then it can be used to tell future weather for up to the maximum of weeks if
not months.

Another application is for civil engineers, during the
constructions of big buildings and bridges. There is no need for an engineer to
actually build a bridge or a building to check if it can withstand hash
conditions. A computer model is built before, to test through hash weather then
if a problem occurs, the model is corrected appropriately.