1.
Correct Answer:
False
As per the formula of the number of customers waiting in line is infinite or undefined.
For example, if service rate = arrival rate = 5 customers per hour
Then,
number of customers waiting in line = 5/(5-5) = 5/0 or undefined
============
2.
Correct answer:
False
It is the delivery reliability and process flexibility among the others, that work as competitive dimensions of the operations strategy.
QUESTION 20 In an M/M/1 when the arrival rate is the same as the service rate...
****Please show step-by-step, work, and explanation to better grasp and learn the concept. M/M/2 Mean Arrival Rate: 20 customers/hour Mean Service Rate: 12 customers/hour Number of Servers: 2 Server wage $10/hour Customer waiting cost $20/hour Probability of zero customers in system: 0.280 According to the information provided in the table, on average, how many customers are in the line?
3. For a single-server, single-line, single-phase waiting line system, where l represents the mean arrival rate of customers and m represents the mean service rate, what is the formula for the average utilization of the system? a) l / m b) l / (m-l) c) l2 / m(m-l) d) 1 / (m-l) e) l / m(m-l) 4. For a single-server, single-line, single-phase waiting line system, where l represents the mean arrival rate of customers and m represents the mean service...
Consider the M/M/1/GD/∞/∞ queuing system where λ and μ are the arrival and server rate, respectively. Suppose customers arrive according to a rate given by λ = 12 customers per hour and that service time is exponential with a mean equal to 3 minutes. Suppose the arrival rate is increased by 20%. Determine the change in the average number of customers in the system and the average time a customer spends in the system.
please help!! please answer all! thank you!!! When blocked customers are cleared, an important decision is how many channels to provide. O True O False (2pts) 1) 2) Before waiting lines can be analyzed economically, the arrivals' cost of waiting must be (2pts) estimated O True O False With no waiting allowed, operating characteristics Lq and Wq are automatically zero regardless of the number of servers. 3) O True O False In developing the total cost for a waiting line,...
In R Programming The simulation of an M/M/1 Queuing System uses the service rate of 1.0 and the arrival rate of 0.5 to find the mean waiting time as described in Section 7.8.3. You need to change the “print() statement” at line 60 on page 169 to a return statement of the mean waiting time. You can develop three independent R scripts to answer the following questions. If the arrival rate is always 0.5, draw a graph using the plot(serviceRate,...
For an infinite-source, single server system with an arrival rate of 15 customers per hour (Poisson) and service time of 2 minutes per customer (exponential), the average number waiting in line to be served is: a. 0.1 b. 0.133 c. 0.50 d.0.250
Consider the M/G/1 queue with FIFO service (see Homework 6) Assume that (1) the arrival rate is 1 customer per minute, and (2) the service times are exponentially distributed with average service time 45 seconds. 07. Find the server utilization 88. Find the average value of the waiting time (in minutes). 9. Find the probability that an arriving customer will wait in the queue for at least 1 minute. 10. Find the probability that an arriving customer who finds the...
Question 2 Customers arrive at the checkout counter (shown in the figure below) at random from 1 to 8 minutes apart. Each possible value of inter-arrival time has the same probability of occurrence, as shown in Table 2.6. The service times vary from 1 to 6 minutes with the probabilities shown in Table 2.7. Departure Arrival Checkout Counter Table 26 Distribution of TIme Between Amivals Time baweerm Arrivals Table 27 Service-Time Distribution Minutesy) Prohablity Service Tme 0.125 0.125 0.125 125...
QUESTION 8 Oakland post office uses a multiple channel queue, where customers wait in a single line for the first available window. The average service time is 1 minute per cust, and the arrival rate is 1.4 cust. per minute, and # of channels, S-2 True/False PO Probability zero customers in the system between 0.17 and 0.18 True False
The purpose of this assignment is to apply a waiting line model to a business service operation in order to recommend the most efficient use of time and resources.(This assignment has been adapted from Case Problem 2 in Chapter 15 of the textbook.)Use the information in the scenario provided to prepare a managerial report for Office Equipment, Inc. (OEI). Scenario Office Equipment, Inc. (OEI) leases automatic mailing machines to business customers in Fort Wayne, Indiana. The company built its success...