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This is under Operations Management or Operations Research of Industrial Enginee

ID: 349955 • Letter: T

Question

This is under Operations Management or Operations Research of Industrial Engineering. Topic is called Queueing Theory. Manufacturing Systems Modeling and Analysis Second Edition. Please do process.

Let S be a random variable representing the sum of the dots showing on the top of a pair of dice. What is P(S S 4)? If we have an arrival process with a mean rate of 5 jobs/hr, what are the inter-arrival time characteristics (E[A], C2IA], Var[A]) under the following distributional assumptions: I. I1. a. Poisson arrivals b. Erland-3 arrivals c. Exponentially distributed inter-arrival times !

Explanation / Answer

I. The number of combinations in case of 2 dices is 36 (6 X 6) though a sum could be same for different combinations. For e.g. On one side, 2 on Dice 1 and 2 on Dice 2 will return the sum as 4 and on the other side, 1 on Dice 1 and 3 on Dice 3 will also return the sum as 4.

Minimum Sum possible = 2 ( 1 on both dice)

Maximum Sum possible = 12 ( 6 on both dice)

All numbers between 2 and 12 (both included) are possible returns [as sum] when the 2 dice are rolled. However, getting <=4 as sum is possible in the following conditions:

Therefore, there are a total of 6 combinations which can provide sum as <=4.

On the other side, total combinations [for Sum] possible when 2 dice are rolled are 36.

Hence P(S <= 4) = 6 / 36 (or 6 divided by 36) = 1 / 6 = 0.167

Therefore, P(S <= 4) = 0.167

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