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    Reg. No. :

    M.E./M.Tech. DEGREE EXAMINATION, JANUARY 2011.

    First Semester

    Computer Science and Engineering

    (Common to Information Technology, Software Engineering and

    Network Engineering)

    281110 OPERATIONS RESEARCH

    (Regulation 2010)

    Time : Three hours Maximum : 100 marks

    Answer ALL questions.

    PART A (10 2 = 20 marks)

    1. What are the different parts of solution of queuing models?2. Write down the Littles formulae in queuing model.3. Write down the Pollaczek-Khinchin (P K) transform in non Poisson

    queuing system.

    4. Explain queues in Tandem and classify the above.5. Explain the elements of a simulation model.6. Explain the different types of simulation.7. Determine the initial basic feasible solution to the following transportation

    problem using north west corner rule.

    To

    5 2 4 3 22

    From 4 8 1 6 15 Availability

    4 6 7 5 8

    7 12 17 9

    Demand

    Question Paper Code : 20142

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    8. Explain degenerate solution in LPP.9. Obtain the necessary conditions for the non-linear programming problem.

    Max z2

    3

    2

    2

    2

    1 53 xxx ++=

    Subject to the constraints

    .0,,,525,23 321321321 =++=++ xxxxxxxxx

    10. State sufficient condition of Kuhn - Tucker conditions.PART B (5 16 = 80 marks)

    11. (a) At a railway station, only one train is handled at a time. The railwayyard is sufficient only for two trains to wait while other is given signal to

    leave the station. Trains arrive at the station at an average rate of 6 per

    hour and the railway station can handle them on an average of 12 per

    hour, Assuming Poisson arrivals and exponential service distribution,

    find the steady state probabilities for the number of trains in the system.

    Also find the average waiting time of a new train coming into the yard. If

    the handling rate is reduced to half, what is the effect of the above

    results?

    Or

    (b) At a port there are 6 unloading berths and 4 unloading crews. When all

    the berths are full, arriving ships are diverted to an over flow facility

    20 kms down the river. Tankers arrive according to a Poisson process

    with a mean of 1 for every 2 hours. It takes for an unloading crew, on theaverage, 10 hours to unload a tanker; the unloading time follows an

    exponential distribution. Determine

    (i) How many tankers are at the port on the average?

    (ii) How long does a tanker spend at the port on the average?

    (iii) What is the average arrival rate at the overflow facility?

    12. (a) A roofing company installs single roofs on new and old residences in apart of city. Prospective customers request the service randomly at the

    rate of nine jobs per 30 day month and are placed on the waiting list to be

    processed on a FCFS basis. Homes sizes vary, but it is fairly reasonable

    to assume that the roof areas are uniformly distributed between 150 and

    300 squares. The work crews can usually complex 75 squares a day.

    Determine the following.

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    (i) Companys average backlog of roofing jobs.

    (ii) The average time a customer waits until a roofing job is completed.

    (iii) If the work crew is increased to the point where they can complete

    150 squares a day, how would this affect the average time until a

    job is completed?

    Or

    (b) A barber shop has space to accommodate only 10 customers. He can

    server only one person at a time, If a customer comes to his shops and

    finds it full he goes to the next shop. Customers randomly arrive at an

    average rate at d = 10 per hour and the barbers service time is negative

    exponential with an average of 5/1 = minutes per customer.

    (i) Write recurrence relations for the steady state queuing system

    (FIFO) for above.

    (ii) Determine oP and nP probability of having O and n customersrespectively in the shop.

    13. (a) Use MonteCarlo technique to estimate the area of a circle whoseequation is given by 25)2()1( 22 =+ yx .

    Or

    (b) Customers arrive at a milk booth for the required service. Assume that

    inter-arrival and service times are constants and given by 1.8 and 4 time

    units, respectively. Simulate the system by hand computations for 14

    time units. What is the average waiting time per customer? What is thepercentage idle time of the facility?

    [Assume that the system starts at t = 0).

    14. (a) Solve the following LPP by using simplex method.Max 4321 534 xxxxz +++=

    Subject to the constraints

    .0,,,

    202338

    10423

    204564

    4321

    4321

    4321

    4321

    ++

    ++

    +++

    xxxx

    xxxx

    xxxx

    xxxx

    Or

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    (b) Solve the following LPP by using Two-Phase method.

    Max z 3212 xxx ++=

    Subject to the constraints

    ,8364 321 ++ xxx ,1463 321 xxx

    ,4532 321 + xxx 0,, 321 xxx .

    15. (a) Solve the following NLPP by using Kuhn-Tucker conditions.Max z 21

    2

    3

    2

    2

    2

    1 64 xxxxx ++=

    Subject to the constraints

    ,221 + xx ,1232 21 + xx .0, 21 xx

    Or

    (b) Solve the following QPP.

    Max z 212

    2

    2

    121 4102510 xxxxxx +=

    Subject to the constraints

    ,102 21 + xx ,921 + xx 0, 21 xx .

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