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Today, we are going to discuss about the “Components of a Decision Support System”.
(Refer Slide Time: 00:31)

We have basically discussed that decision support systems are basically a man computer
interactive system, mainly suited for solving semi structured problems. In here, the
manager interacts with the computer. The models inside the computer will help the
managers to give an initial output, which the manager will revise based on his
interpretation of the output.
Manager might give a fresh set of data, he might asks new questions. So, you see two
important components of a decision support systems are the manager and the model and
then the manager has to communicate with the computer, that is why it is an interactive
system and in an iterative manner.

So, computer and communication devices is a third component and the data which are
basically needed to solve the problem must reside in the computer data base. So, the
components of a decision support system are the manager, the models, the computer and
communication devices and as well as the data base. Components of a decision support
systems manager.
(Refer Slide Time: 02:20)

So, what we found out that the managers, they use their experience, intuition and
judgement to interpret the model output and also to provide a new set of input if it
requires. So, manager’s experience, intuition and judgement, they are very much
required. Along with that the planning decisions that are made by the managers are
strategic planning, management control and operational control.
So, we need to know, what is meant by that strategic planning, what is meant by
management control and what are the different aspects of operational control; because
manager is the primary component of a decision support system.

(Refer Slide Time: 03:50)

So, the planning decisions made by managers must be understood in totality. Strategic
planning, basically deals with long range plans, it is identifying or setting goals or
objectives, it might also involve changing the goals and also deciding or setting policies
for acquisition of resources to achieve the accomplished goal.
Management control deals with the decisions to ensure that those resources are obtained
and used effectively and in an efficient manner towards accomplishment of those
company objectives and goals. And in operational control, the manager is concerned
with efficient and effective execution of specific tasks. So, in operational control we are
bothered about efficient and effective execution of tasks specific tasks.
In the management control, we are basically trying to find out or ensure that the
resources which are needed they have been obtained and used in an effective and
efficient manner. And strategic planning deals with setting long range goals, changing
the goals if required, and setting the different kinds of policies for acquisition of
resources to solve the problem.

(Refer Slide Time: 05:54)

In each of these three classes of planning problems, the problem can again be classified
as structured, unstructured or semi-structured. Now, we had earlier discussed that in any
decision making problem we are trying to find out or select the best alternative among
the several set of alternatives that are available to solve a problem.
Now, several theories exist on the way, these particular alternative among that set of
alternatives is chosen that is the way the decisions are made in organizations depend on
several theories. Now, a knowledge of these theories may be of help to the designers of a
Decision Support System in planning their strategy of design and implementation.

(Refer Slide Time: 07:12)

Five different theories of decision making we are going to discuss. First one is the
rational manager view. According to this view the decision maker is rational, he is
completely informed of the various factors that are influencing the problem, he can
assimilate all the information that is at his disposal and wants to make always an optimal
So, in rational manager’s view, optimal decision making is the focus. Here, we are
assuming the decision maker is completely rational, he is well informed, he can
assimilate all the information that are there at his disposal and he will always try to make
an optimal decision.
Next, the satisficing view. According to this view, the manager can make use of only
limited knowledge and satisfies himself with good solutions, not necessarily the best
ones. He is not bothered about finding the optimal solution. He is trying to find out more
or less a good solution which will serve the purpose, because at a given point in time, the
manager has got only limited knowledge of the environment which basically govern the

(Refer Slide Time: 09:16)

Next, the organizational procedures view. According to this view the decisions made in
an organization can be understood as the culmination or output of certain led down
standard procedures invoked by those organizational units where the decision is been
The next theory on decision making is the political view. According to this view, the
outcomes of decisions in organizations are largely influenced by power of the individuals
who are involved in the decision making process.
(Refer Slide Time: 10:22)

And, then the last view or the class theory is that individual differences perspective.
Here, it is assumed that each individual has a different style of decision making and
hence, in designing a system, the DSS designer must understand its specific user; he
must try to understand the mental makeup of the manager who is taking the decision
rather than following some general assumptions.
(Refer Slide Time: 11:13)

The next component of any decision support system is another very important one that is
the models. Broadly speaking, anything that is used to represent something else is called
a model. Anything that is used to represent something else is called a model.
Models have been widely used in the field of science and engineering for conducting
several experiments, because models can be manipulated more easily than changing real
systems. Moreover, models do not contain all those unnecessarily details of the real
system and hence, we can understand the models much better.

(Refer Slide Time: 12:28)

In the study of management problems also, the same principle applies; however, the
models that are encountered in the field of management are mostly abstract in their
nature. Some of the categories of models often encountered in the field of management
are mathematical expressions, flow charts, simulation programs, and optimization
(Refer Slide Time: 13:19)

Models that are used in Decision Support System solve the following purposes: number
1; to forecast or project the trends of a given activity by finding patterns in historical
All those forecasting models they basically try to find out the relationship or the pattern
in data. To answer what if questions such as what happens to next year’s sales if we
increase the price by 10 percent. This class of problems are sometimes known as
sensitivity analysis problem. How sensitive is thus, total volume of sales when the price
is increased by some percentage.
Models are used to analyze a proposed solution in terms of its feasibility and its
effectiveness. Models sometimes suggest several alternative solutions for a given
problem and thereby, models they recommend a best course of action among the various
available alternatives.
(Refer Slide Time: 15:20)

So, in an interactive system where the managers in the process of communicating with
the computers, they are basically taking the help of these models to solve the problems
and hence, models must be easy to communicate with models must be very simple to
understand. The nature of models must be extremely simple so that the working
managers really understand what this model is about? How this model is working?

Simple models, may not always be very capable, but they have the advantage of being
comprehensible means managers can understand those models and hence the acceptance
rate of those models go up. Decision makers accept those models which they can
Models should be robust. What do we mean by robustness of a model? In case some
invalid conditions arise at any phase in the execution of that model, it should be able to
detect such conditions and then take meaningful action. For example, in a model
sometimes division by 0 comes in.
So, in that case under this exception condition what should be the recommended course
of action is in built into it? So, models robust models must take care of invalid
conditions, if they arise at any phase in the execution of a model.
(Refer Slide Time: 17:50)

A model should not be. So, rigid that if a small change occurs in the structure of the
original system, then it necessitates the building of the model completely from scratch
then the purpose gets defeated.
A model should be flexible enough such that you do not need to build another model
from scratch, if there is any change in the structure of the original system. A model
should be complete in all respect and for the issue being studied all major variables
should be incorporated in the model otherwise; the purpose will not be served.

(Refer Slide Time: 18:45)

Models define the relations between several important entities of the system and as we
have already discussed, these are valid only under some assumptions. The price
determination example that I was described earlier uses the set of four equations, as we
are showing it in this slides; Y 1 1 minus K 1 1 into X 1 minus K 1 2 equals K 1 3 that is
the first equation.
(Refer Slide Time: 19:16).

In this manner all these three equations and the last three questions the last equation
fourth equation the demand is related to all these three indices Y1, Y2 and Y3 with their
respective weights a, b and c.
(Refer Slide Time: 19:53)

In here, the computer asked the manager to provide input on values for X1 and
corresponding these, that is a demand price index or demand quality index or demand
advertising index, those are all Y1, Y2, Y3. These are overall demand for the product
and these D’s can be transformed into values of Y 1 and using some computational rules,
the computer determines the values of K11, K12, K13 as well as other constants.

(Refer Slide Time: 21:01)

Similarly, the constants in equation 2 and 3 are determined. These three equations define
the relation between a demand index and one independent variable while holding the
other independent variables constant. And the computer makes use of equation 4, the last
equation to determine the demand when more than one of the independent variables
change. And in that equation a, b and c are weights that determine the relative
importance of the three indices Y1, Y2 and Y3.
(Refer Slide Time: 21:57)

Using equations 1, 2 and 3, the weights a, b and c are determined by the computer and
for certain levels of the three variables and for certain changes in two of the three
variables, the demand is computed and output.
The manager can have the values of this weights revised, if the value given above does
not agree with what he intuitively expects.
(Refer Slide Time: 22:33)

So, that is why we want to say that the most important thing is that any decision support
system has to be acceptable to the user, the models used should be very simple, and
flexible. It is said that managers prefer to get poor solutions from models that they
understand, rather than good solutions from models that they do not understand. Models
that appear too esoteric for them, those models are never accepted by the managers.

(Refer Slide Time: 23:33)

In discussing the components of decision support system, the third one is the computer
and communication devices. The ability to interact with computer in an online mode is
the essence of conversational characteristics of any DSS. The information content of any
data is grasped by humans much more rapidly if it is displayed in the form of a diagram
rather than as a table of numbers. A picture is much more worth than a set of numbers.
In many decision support system, we find display of pictures through graphic terminals.
The user can specify positional input more easily and naturally through those graphic
terminals, through those graphic a, because he can position the mouse pointer there and
the coordinates get captured. So, these were can specify positional input more easily and
naturally and those coordinates will be captured by the model.

(Refer Slide Time: 25:20)

The graphic input devices permit the user to point at a certain point on the screen or
position a displayed object at any desired location on the screen, as I had rightly told you
earlier. And the you see, light pen is a well known hand held input device, which can be
used to point to any location of the screen and have the coordinates of that position
transferred to the computer. Some of the other input devices are joystick, tracking ball
and tablet. These devices can be used to move a cursor around that screen and to position
it at any desired location.
(Refer Slide Time: 26:08)

The graphic software consists of commands for erasing and displaying parts of a display
screen, to draw lines and circles on the screen, to display characters and the like. These
commands are available either in the form of special subroutine calls in any high level
Apart from the developments in the interactive devices availability of powerful, easy to
use, interactive, high level languages. For example, R and Python and powerful software
for data management systems play a very important role in the development of Decision
Support Systems.
(Refer Slide Time: 26:58)

Another important thing is that the dialogs in DSS. One of the factors that contribute
significantly to the effectiveness of a DSS is the type of dialog that it provides for the
computer user communication. In some systems, a major portion of the code is
consumed by the dialog component and once the DSS is in operation, the dialog
component demands a significant effort from the software maintenance team.

(Refer Slide Time: 27:31)

Four major styles into which the dialogs in DSS can be classified are the question and
answer dialogs, command language dialogs, menu dialogs input form and output form
dialogs. All of you are familiar with all these four major styles of dialogs.
(Refer Slide Time: 27:49)

Question answer dialogs here; the computer asks the user a question to which the user
gives the answer and this process is repeated till the computer has enough information to
give a solution to the user.

(Refer Slide Time: 28:04)

In the command language dialog, the language provides a set of verbs and nouns. User
invokes the desired action by giving a verb-noun combination from the command
(Refer Slide Time: 28:16)

In menu dialogs, the user points at a desired alternative out of the set of alternatives
available to him and the advantage here is that the user does not have to type in anything,
but as to merely select from the displayed alternatives.

(Refer Slide Time: 28:33)

And the input form and output form dialogs here, the computer displays an input form
similar to the paper forms familiar to the user. The user can enter values in the input
form; the output is also displayed in a form, familiar to the user. Then the user can
request for and fill in another input form to continue the dialog.
(Refer Slide Time: 28:57)

It has been observed that several of the systems use the dialog styles not belonging
exclusively to any of those above styles that I have mentioned, but combine features
from one or more of them.