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Posted Date: 19 Dec 2009      Posted By:: lakshmi    Member Level: Silver  Points: 5 (Rs. 1)

# 2009 Bharathiar University Administration M.B.A QUANTITATIVE TECHNIQUES FOR MANAGEMENT Question paper

 Course: M.B.A University/board: Bharathiar University

Reg. no:
D2126 Q.P. Code: [07 DMB 06]

(for the candidates admitted from 2007 onwards)

M.B.A. DEGREE EXAMINATION, DECEMBER 2009.

First Year

QUANTITATIVE TECHNIQUES FOR MANAGEMENT

Time: Three hours Maximum: 100 marks

Answer any FIVE questions.

All questions carry equal marks.

(5 x 20 = 100)

1.What do you understand by a Linear Programming Problem? What are its limitations? Discuss briefly the applications of linear programming in any functional area of management.

2.Solve the following transportation problem for optimal solution.

W1 W2 W3 W4 W5 quantity

P1 20 28 32 55 70 50

Plants P2 48 36 40 44 25 100

P3 35 35 22 45 48 150

Demand 100 70 50 40 40

3.What do you understand by a waiting line model? Explain some of the basic characteristics of a queuing system? What are some of the important assumptions queuing models?

4.A small assembly plant assembles PCS through 9 interlinked stages according to adjoining precedence table:

Activities Duration
(Days)

1-2 2

1-3 2

1-4 1

2-5 4

3-6 8

3-7 5

4-6 3

5-8 1

6-9 5

7-8 4

8-9 3

(a)Draw a diagram representing above assembly work.

(b)Calculate ES, EF, LS, LF timings.

(c)Find the critical path and duration.

(d)Also calculate Total float, free float and independent float.

5.State addition and multiplication rules of probability. Discuss the concepts of theoretical probability distributions and their characteristics.

6.What are the various costs involved in an inventory problem? How are they inter related? How do these costs and their variations affect total inventory cost for any given period?

7.Define simulation. What are the advantages and disadvantages of simulation models? Explain the basic steps of Monte Carlo Simulation with a suitable example.

8.Describe how would you determine the best decision using EMV criterion with a decision tree.

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