Chapter 13, Problem 1.6C

Explain in a queueing analysis what are the most typical measurements of system performance?

A fast-food restaurant offers a variety of products: from pre-made packaged sandwiches to milkshakes with different flavors. Many customers order one item time, other customers order multiple items. Sometimes customers buy the pre- made items, and some customers actually ask the restaurant to cook their food while they wait. The restaurant manager has kept careful records of some queuing statistics over several weeks. According to this data, the staff needs 4 minutes on average to serve a random customer. On average, the restaurant served 120 customers on a given day. This restaurant is open from 9 AM to 9 PM every day, and has a single service counter. If you want to help the manager measure this restaurant's waiting line performance, which of the following should you use? Exponential Service Rate Model The Finite Source Model Constant Service Rate Model O The multi phase single channel model

Please do not give solution in image format thanku There are approximately 300 customers shopping in Fackert Department Store in Mexico City between 9 A.M. and 5 P.M. on Saturdays. All those entering the store will make purchases. When deciding how many cash registers to keep open each Saturday, owner Susanna Fackert considers 2 factors: customer waiting time (and the associated waiting cost) and the service costs of employing additional checkout clerks. Checkout clerks are paid an average of $4 per hour. When only 1 is on duty, the waiting time to checkout per customer is about 10 minutes (or 1/6 of an hour); when 2 clerks are on duty, average waiting time is 6 minutes per person; 4 minutes when 3 clerks are working; and 3 minutes with 4 clerks. Ms. Fackert has conducted customer satisfaction surveys and has been able to estimate that the store suffers approximately $5 in lost sales and goodwill for every hour of customer time spent in line waiting to checkout. Using the information…

. A computer server experiences large fluctuations in the amount of data requests itreceives throughout the day. Because of this variation, Little’s Law does not apply. Trueor false?

A series of thefts from your pharmacy area have occurred in the last six weeks. The director of security and the head of pharmacy services now require all persons working in the pharmacy department with access to drugs to clock out after their shifts and then go through a security check before leaving the building. Several employees have complained that they should be paid for this time because the security check is for the employer’s benefit. The director of security and the head of pharmacy services have responded that this security check is for the benefit of the employees to ensure that no one is unjustly accused. Is either party correct?  If so, which one and why?

Two methods are used to predict how many customers will call in for help in the next four days. The first method predicts the numbers of callers to be 49, 42, 46, and 50 for the four respective days. The second method predicts 48, 43, 47, and 49 for the four respective days. The actual numbers of callers turn out to be 50, 40, 45, and 48. Which method has the smaller mean absolute error (MAE)? O Both methods have the same MAE The second method. The first method O Cannot be determined

When you are connected to a representative, it will be, with equal probability, somebody from the billing department, customer retention department, or marketing department. When talking to a billing representative, the time until the issue is resolved is distributed uniformly from 10 to 20 minutes. Customer retention specialist will resolve you issue in exactly 2 minutes. Marketing person will first discuss with you promotions and new offers (this time will be normally distributed with average 10 minutes and standard deviation 2 minutes) and then transfer you to a new representative, who will, again be from one of the three departments with equal probability. What is the expected time that you will spend on the phone?

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Patxiko just opened his website, where he sells his Patxaran online. His websites gatheres all kinds of data from customers navigation (time spent on each page, how long the customer has products in his cart before purchasing, what he purchased, etc). He is trying to optimize the website to increase the probability of a purchase. First, he wants to predict whether a customer will purchase or not. What model would you advise him to use? Suggest two methods and explain how one of them works.