Table of Content
1. Introduction. 3
2. Process of developing a
decision tree. 3
2.1. Drawing
decision tree that represents investment options to the operation manager 3
2.2. Adding
Chance Nodes, Probability & Outcomes. 4
2.3. Evaluating
the expected values. 4
2.4. Evaluating
the Net Expected Value. 4
3. Final Decision for
Operation Manager. 5
4. Conclusion. 6
5. References. 7
Decision
Tree
1. Introduction of Decision Tree
The
aim of this paper is to provide deep insights regarding the decision tree
approach and how decision tree helps the management of the organization to take
right decision. In the paper the whole process of making a decision tree is
described. The decision tree approach is adopted in the response of the
situation which is experienced by the operational manager of cereal producer. Through
creating the decision tree, the operation manager will have enough information
regarding which option should be selected and how that option will create
profit for the organization. Below is the complete process of developing a
decision tree in detail.
2. Process of developing a decision tree
The
management of the deepdrill oil rig has three options to choose from, which
include deepdrill modification of old rig, renting from the pacific search, and
renting from the Houston. In order to take the best project the operation
manager has decided to utilize the decision tree approach. A decision tree is a
decision support instrument that helps the manager of the organization to make
the right decision. The decision tree approach includes various steps which are
explained in detail as follows:
2.1. Drawing decision tree that represents investment
options to the operation manager
The
first phase of the design tree development process is to begin tree by creating
the decision point and node. It means that the tree begins with a square. As
there are three options available to the operation manager, three lines will be
radiating from the square that will represent three options that are available
to the manager (Mittal, Khanduja, & Tewari, 2017). The first can be
easily understood from the following figure which represents decision options.
2.2. Adding Chance Nodes, Probability & Outcomes
The
second phase of the decision tree is to add chance nodes. In the decision tree,
the options have different outcomes. So the option will end with outcome (Mittal, Khanduja, & Tewari, 2017). This is marked by
creating circle. The operation manager has two outcomes for the investment
options, whereas the third option of no change as no outcome, so its outcome
will not be shown in the decision tree (Mittal, Khanduja, & Tewari, 2017). The below figure is
showing the decision tree with options & their respective probabilities.
2.3. Evaluating the expected values of
Decision Tree
The
third step in the decision tree making process is evaluating the expected
values of the options. At the right side of the decision tree, the expected values
are calculated by multiplying the probability of the options with the outcome
of the option. After this the answers should be added for every option. The
answers should be mentioned in the appropriate circle in the decision tree (SONG & LU, 2015). The figure below is
showing the decision trees diagram with returns and outcomes.
2.4. Evaluating the Net Expected Value of
Decision Tree
The
last step of the decision tree process is to find out the net expected value of
the options or the actual costs of the options. The initial investor, the cost
of each option, is subtracted from the expected value of each option. After
subtracting the cost calculations are presented on the decision tree (Mittal, Khanduja, & Tewari, 2017). Those options will be rejected which have
lower net expected value and that option will be selected which has the highest
net expected value. The decision regarding the option is taken on the basis of
net expected value of the option (SONG & LU, 2015). The below figure is
showing a complete decision tree diagram.
3.
Final Decision for Operation Manager
of Decision Tree
If
the complete decision tree is analyzed critically than it can be seen that the
large scale investment have the net expected value of 0.56 million which is
higher than the net expected value of small scale project that is Houston 0.075
million (Mittal, Khanduja, & Tewari, 2017). Therefore it is
advised to the operational manager to pacific rent because it has a higher net
expected value than the Houston rent option. The small scale project and continue
without change options should be rejected, and large scale investment should be
perused because this decision will be more profitable than other decisions (Mittal, Khanduja, & Tewari, 2017).
It is recommended to the management of the deep drill to go with the
decision of pacific rent because it will be more economical for the deep drill.
The pacific rent will be less expensive for the deepdrill as compare to other
alternatives. If all the alternatives are analyzed than it is evident that
pacific rent option is the cheapest of all of the other options. After
selecting this alternative it is clear that the cost of the organization won’t
increase up to lot of extent. If any other option is going to be selected than
there is chance that the expenses of the company will increase dramatically.
The aim of every business is to generate profit and the organization
can generate profit only when it makes rational and economical decisions.
Selecting pacific would be an economical decision because through this not only
the corporation can save expenses significantly but also will be able to
increase its profit as well no other option will provide this opportunity to
the company to increase its profit up to that much of an extent. Therefore the
decision tree have provided the answer of the problem which the organization
was facing.
4.Conclusion of Decision Tree
It
is concluded that the management of the deepdrill oil rig has three options to
choose from, which include deep drill modification of old rig, renting from the
pacific search, and renting from the Houston. In order to take the best project
the operation manager has decided to utilize the decision tree approach. A
decision tree is a decision support instrument that helps the manager of the
organization to make the right decision. If the complete decision tree is
analyzed critically than it can be seen that the large scale investment have the
net expected value of 0.56 million which is higher than the net expected value of
small scale project that is Houston 0.075 million. Therefore it is advised to
the operational manager to pacific rent because it has a higher net expected value
than the Houston rent option. . The decision tree approach is adopted in the
response of the situation which is experienced by the operational manager of
cereal producer. Through creating the decision tree, the operation manager will
have enough information regarding which option should be selected and how that
option will create profit for the organization.
5. References of Decision Tree
Mittal, K., Khanduja, D., & Tewari, P. C. (2017).
An Insight into “Decision Tree Analysis.” World Wide Journal of
Multidisciplinary Research and Development, 3(12), 111-115.
SONG, Y.-y., & LU, Y.
(2015). Decision tree methods: applications for classification and prediction. 27(2),
130–135.