You have determined that waiting times at a toll booth are uniformly distributed over the interval 30 to 80 seconds. Your simulationgenerates the following random numbers. Complete the table with the waiting time associated with each random number. (Round youranswers to the nearest whole number.)Random NumberWaiting Time0.490.230.743.

ANSWER : Given intervals 30 to 80 seconds Range Value = 80 - 30 = 50 Waiting time = Lower range…

Answered: You have determined that waiting times…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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You are wondering what is the optimal number of servers to have to minimize the cost? Assume that the arrival rate is 12 per hour and the service rate is 10 per hour for each server. Your analysis has determined that servers are $30 per hour and the cost of customers waiting is $40 per hour. What is the server cost, wait cost and total cost per hour for 2 servers? What is the server cost, wait cost and total cost per hour for 3 servers?
What is the answer in this number 5?
On average, 100 customers arrive per hour at theGotham City Bank. The average service time for eachcustomer is one minute. Service times and interarrivaltimes are exponentially distributed. The manager wantsto ensure that no more than 1% of all customers willhave to wait in line for more than five minutes. If thebank follows the policy of having all customers join asingle line, how many tellers must the bank hire?
please answer within 30 minutes.
suppose tht a queueing system has two identical servers, and an exponential service-time distribution with a mean of 1/u=10minutes. furthermore, a customer has just arrived to find two in the system. how long would you expect him to wait before being able to start service? Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.
Consider a bank where potential customers arrive at rate of 60 customers per hour. However, because of limited space, one out of every four arriving customers finds the bank full and leaves immediately (without enteringthe bank). Suppose that the average number of customers waiting in line in the bank is 3.5. How long will a typical entering customer have to wait in line? (Hint: In Little’s formula, l refers only to customers who enter the system.)
CPU-on-Demand (CPUD) offers real-time high-performance computing services. CPUD owns 1 supercomputer that can be accessed through the Internet. Their customers send jobs that arrive, on average, every 4 hours. The standard deviation of the interarrival times is 4 hours. Executing each job takes, on average, 3 hours on the supercomputer and the standard deviation of the processing time is 3.6 hours. On average, how long will it take to complete a job (from the time it is submitted by the customer until the time it is completed)?
Consider a Poisson queue with the following steady-state probabilities: po = 1/3, p1 = 1/2, p2 = 1/6, and pn = for n = 3,4,5, ... . What is the minimum number of stools that would accommodate all customers in the system at least 75% of the time in steady state? 3 stools O 2 stools none of the other choices O 1 stool
a. The probability that the time between any two successive arrivals exceeds20 minutes
. For the MyMy1 queueing model, why do the following results hold? (Hint: Remember that 1ym is the meanservice time. Then think how long a typical arrival must wait in the system or in the queue.) a. W 5 (L 1 1)ym b. WQ 5 Lym
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The likely be used to describe the distribution of time between arrivals of customers at the grocery store. Multiple Choice O O distribution would most O O normal uniform binomial exponential

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You have determined that waiting times at a toll booth are uniformly distributed over the interval 30 to 80 seconds. Your simulation generates the following random numbers. Complete the table with the waiting time associated with each random number. (Round your answers to the nearest whole number.)