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## (MBA)QUANTITATIVE TECHNIQUES-ALAGAPPA UNIVERSITY

Started by monishav, May 05, 2020, 12:51 AM

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#### monishav

##### May 05, 2020, 12:51 AMLast Edit: May 05, 2020, 12:57 AM by monishav
Common for M.B.A. (G)/B & F/EM/HM/IB/T/PM/HRM/CS/RM/
LM/TM/CM/MM/SM/FM/P & OM DEGREE EXAMINATION,
MAY 2018.
First Semester
QUANTITATIVE TECHNIQUES
(2013-14 Academic Year and 2014 Calendar Year onwards)
Time : Three hours Maximum : 100 marks

SECTION A -- (5 × 8 = 40 marks)
All questions carry equal marks.

1. What are linear functions? Comment on the slope of linear functions.

2. An animal feed company must produce 200 kg of a mixture consisting of ingredients x1 and
x2 daily.x1 costs Rs. 3 per kg and x2 Rs. 8 per kg. No more than 80 kg
of x1 can be used and atleast 60 kg of x2 , must be used. Formulate a Linear
programming model to minimize the cost.

3. Solve the transportation problem using north-west corner method.
D    E    F    G   Supply
A  11  13  17   14    250
B  16  18  14   10    300
C  21  24  13   10    400
Demand   200 225 275 250

4. Explain the role of probability in business decision making.

5. Explain the role of simulation in business decision making.

6. Describe the concept of Minimax-Maximin principle.

7. Explain the steps in determination of Break Even Point.

8. A candidate is selected for interview for three post for the first post there are 3 candidates,for the
second post there are 4 candidates and for the third post there are 2 candidates. What is the chance
of his getting atleast one post?

SECTION B -- (4 × 15 = 60 marks)
All questions carry equal marks.

9. Argue for and against "profit maximisation".

10. Solve the following LP using Graphical method.

Maximize Z = 6X1 = 8X2

Subject to

5X1 +10X2 < 60
4X1 +4X2 < 40
X1,X2 > 0.

11. Obtain an initial basic feasible solution, to the following transportation problem using Vogel's
approximation method

A  B   C  D  Supply
1 40 25 22 23  100
2 44 35 30 30  30
3 38 38 28 30  70
Demand   40 20 60 80

12. A company uses 3 machines A, B and C. The proportion of products produced by the machines
are 0.3, 0.48 and 0.22.The percent defective for each machine is 1%, 2% and 3%of their individual
output. A defective output is drawn from a day's production. What is probability that it was not
produced by A?

13. Discuss the use of simulation in managerial decision
making.

14. Describe the criteria for decision making under
uncertainty.

15. What is probability? Describe the theories of probability.

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