Problem 1. Consider a fast food restaurant where customers arrive and get in line according to a Poisson process with an average rate of 120 customers per hour. The restaurant has one line and the amount of time it takes the cashier to serve a customer is exponentially distributed with a mean of 2 minutes. Let X_t denote the number of customers in line at time t.
1. Give the state space of the chain (X_t)t≥0.
2. For each state i,
a) find the hold time parameter i,
(b) find the embedded chain jump probabilities P_ij , (c) find the transition rates q_ij .
3. Make a transition rate diagram for the chain.
4. Assume that there are initially no customers in the system. Find the probability that there are 2 customers after 5.5 minutes
Problem 1. Consider a fast food restaurant where customers arrive and get in line according to...
7.4 During lunch hour, customers arrive at a fast-food restaurant at the rate of T20 customers per hour. The restaurant has one line, with three workers taking food orders at independent service stations. Each worker takes an exponentially dis- tributed amount of time-on average 1 minute-to service a customer. Let X, denote the number of customers in the restaurant (in line and being serviced) at time t. The process (Xt)PO Is a continuous-time Markov chain. Exhibit the generator matrix
The number of customers arriving at a fast food restaurant are modelled on a Poisson random variable X with parameter A = 1. The total time that it takes to serve k customers, k> 1, is modelled on a continuous random variable T that is uniform in 0,k+ 1]. (a) (2 points) Compute the probability P(T 1 (b) (2 points) Compute the expected value of T
The number of customers arriving at a fast food restaurant are modelled on a...
During lunchtime at a certain fast food restaurant, customers arrive at an average rate of 7 customers every 5 minutes. assume a poisson distribution to find the probability that: A) exactly 12 customers arrive in a given 10 minute interval (perform this calculation using an appropriate formula, showing the setup.) b) between 5 and 10 customers (inclusive) arrive in a given 5 minute interval (show how you can answer this from the table) c) after a customer arrives, find the...
3. Customers arrive at the drive-through lane of a fast food restaurant at a rate of one every 3 minutes. Use the Poisson probability distribution to answer the following (12 Marks) a. What is the expected number of customers in one hour? b. What is the probability that exactly two customers arriving at the drive-through lane in a nine-minutes interval? c. What is the probability that less than two customers arrive at the drive through lane a nine-minutes interval? d....
Really need helps! Thanks!
2. Customers arrive to a coffee cart according to a Poisson process with constant rate 12 per hour. Each customer is served by a single server and this takes an exponentially-distributed amount of time with mean 2 minutes irrespective of ev- erything else. When the coffee cart opens for service, there are already 7 people waiting. Denote by X = (X+,t> 0) the number of people waiting or in service at the coffee cart t hours...
3. A fast food restaurant has a drive-thru window. On average 40 customers arrive at the window every hour. It takes 1 minute on average to serve a customer. a. What is the average number of customers that will be in line and in service at any time? b. On average, how long will a customer spend in the system?
A Fast Food drive-through Restaurant with a single check-out counter opens six days a week, but its heaviest day of business is on Saturdays. Customers arrive at an average rate of 20 per hour on Saturdays. Customers can be provided service at the rate of one every two minutes. Assuming Poisson arrivals and exponential service times, find: The average number of customers in line The average time a car waits before being served The average time a customer spends in...
Jim McDonald, manager of the fast-food hamburger restaurant McBurger, realizes that providing fast service is a key to the success of the restaurant. Customers who have to wait very long are likely to go to one of the other fast-food restaurants in town next time. He estimates that each minute a customer has to wait in line before completing service costs him an average of 30 cents in lost future business. Therefore, he wants to be sure that enough cash...
customers arrive according to a Poisson process at rate λ > 0. Assume that service crew start serving a service and it takes a fixed amount of time τ to serve. For t ≧ 0, let X(t) denote the number of customers being served at time t. What is the distribution of X(t)? What is E[X(t)]?
Assume customers arrive at a computer repair shop as a Poisson process with rate of 20 per hour. For each of the following, identify the distribution including its parameters, and find the indicated probabilities. Let X be the number of customers that arrive in the next hour. Find P(X=16) . Let Y be the number of customers that arrive in the next 30 minutes. Find P(Y>6) . Let T be the waiting time until the next customer arrives. Find P(T...