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PRINCIPLES OF OR
The following principles must be kept in mind
while formulating models.
PRINCIPLE OF SIMPLICITY
Mathematicians are of the habit of making complex
models whereas one should go in for simple model. It
means model must be kept simple models.
UNDERSTAND THE PROBLEM, ONLY THEN APPLY THE
APPROPRIATE TECHNIQUE
If we do not understand the problem properly, we cannot
apply the appropriate technique of operation research.
For example, in case of allocation of scarce resources,
the technique of LPP may be applied.
IMPLEMENTATION
Model must be validated before implementation
otherwise it can be implemented in phases for
validation, example Two-Phase simplex method.
ANALYSIS
A model can analyse the data but it cannot be better
than the information that goes into it. It means data
can be interpreted but cannot be generated.
MODELS ARE FOR THE DECISION
MAKERS
OR models are to aid the decision maker but not to
replace them. The decision is to be taken by the
management e.g.
In LPP X1 = 0 X2 = 9
X1 = 6 or X2 = 3
Say, in the above multiple optimal solution is provided
by LPP giving same total profits. It is for the
management to decide whether to discontinue the
product X1 or continue to produce X1 because the
total profits are the profits are the same.
A MODEL SHOULD NEVER BE TAKE TOO
LITERALLY
It means it does not provide unique answer. In
sensitivity analyses, or under simulation, we can find
still better results.
FLEXIBLE MODEL
A model should be flexible enough to incorporate
changes. It should give range where one solution is
valid as in case of sensitivity analysis
SEEK COOPERATION FROM OR EXPERTS
As we know the tested results of the model are
implemented. It is to be done by OR expert results.
USE OF COMPUTERS
Use of computers is made where ever possible in case
of implementation of models. OR techniques are
usually complex and only computers can solve them.
Hence, steps should be clearly stated to unable the OR
researcher to develop computer software for future
implementation of the techniques.
THANK
YOU
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