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Question:
(a) Discuss briefly the four basic components of any queueing system.
(b) Explain what you understand by the following models:
(i) (M| M | 1 : N | FCFS)
(ii) (M| M | S : ∞| SIRO)
(iii) (M| Ek | 1 : ∞ | FCFS)
(c) A supermarket has two ladies at the sales counters. Given that the service for each customer is exponential with mean 6 minutes and customers arrive in a Poisson fashion at the counter at the rate of 15 per hour, Determine
(i) the expected percentage of idle time for each lady at the sales counter.
(ii) The probability of having to wait for service.
Telephone calls arrive at a switchboard in a Poisson process at the rate of 2 per minute. A random one-tenth of the calls are long distance. (a) What is the probability of at least
A paper mill produces two grades of paper viz., X and Y. Because of raw material restrictions, it cannot produce more than 400 tons of grade X paper and 300 tons of grade Y paper i
Solve the following Linear Programming Problem using Simple method. Maximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0
Discus and explain both probability and none probability sampling techniques
Question: (a) (i) What do you understand by the term ‘queueing theory'? Give two real life examples to illustrate your answer. (ii) Outline the five components involved in
RANGE Range is the difference between the highest and the lowest value is series. This is the simplest absolute measure of dispersion. Symbolically : R= L- S
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