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for k = 0, 1, , n, where p = /( + ) (b) Argue that the limiting distribution in (a) becomes a Poisson distribution with mean when n and 1/ 0 such that n/ remains equal to the constant Can you explain the similarity of this result with the insensitivity result (116) for the M/G/ queue in Section 113 212 A production process in a factory yields waste that is temporarily stored on the factory site The amounts of waste that are produced in the successive weeks are independent and identically distributed random variables with nite rst two moments 1 and 2 Opportunities to remove the waste from the factory site occur at the end of each week The following control rule is used If at the end of a week the total amount of waste present is larger than D, then all the waste present is removed; otherwise, nothing is removed There is a xed cost of K > 0 for removing the waste and a variable cost of v > 0 for each unit of waste in excess of the amount D (a) De ne a regenerative process and identify its regeneration epochs (b) Determine the long-run average cost per time unit (c) Assuming that D is suf ciently large compared to 1 , give an approximate expression for the average cost 213 At a production facility orders arrive according to a renewal process with a mean interarrival time 1/ A production is started only when N orders have accumulated The production time is negligible A xed cost of K > 0 is incurred for each production set-up and holding costs are incurred at the rate of hj when j orders are waiting to be processed (a) De ne a regenerative stochastic process and identify its regeneration epochs (b) Determine the long-run average cost per time unit (c) What value of N minimizes the long-run average cost per time unit 214 Consider again Exercise 213 Assume now that it takes a xed set-up time T to start a production Any new order that arrives during the set-up time is included in the production run Answer parts (a) and (b) from Exercise 213 for the particular case that the orders arrive according to a Poisson process with rate 215 How do you modify the expression for the long-run average cost per time unit in Exercise 214 when it is assumed that the set-up time is a random variable with nite rst two moments 216 Consider Example 131 again Assume that a xed cost of K > 0 is incurred for each round trip and that a xed amount R > 0 is earned for each passenger (a) De ne a regenerative stochastic process and identify its regeneration epochs (b) Determine the long-run average net reward per time unit (c) Verify that the average reward is maximal for the unique value of T satisfying the equation e T (R T + R / ) = R / K when R / > K 217 Passengers arrive at a bus stop according to a Poisson process with rate Buses depart from the stop according to a renewal process with interdeparture time A Using renewal-reward processes, prove that the long-run average waiting time per passenger equals E(A2 )/2E(A) Specify the regenerative process you need to prove this result Can you give. asp.net c# read pdf file read pdf content into text file using c# . net - MSDN - Microsoft
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