Question 2The Papaye fast-food restaurant has a drive-through window. Customers in cars arriveat the window at the rate of 10 per hour (Poisson distributed). It requires an average of4 minutes (exponentially distributed) to take and fill an order. The restaurant chain hasa service goal of an average waiting time of 3 minutes.a.) Will the current system meet the restaurant's service goal? If no why, showcalculationb) If the restaurant is not meeting its service goal, it can add a second drive-through window that willreduce the service time per customer to 2.5 minutes. Will the additionalwindow enable the restaurant?to meet its service goal?c) During the 2-hour lunch period, the arrival rate of drive-in customers increasesto 20 per hour. Willthe two-window system be able to achieve the restaurant's service goal duringthis rush periodd) What will be the utilization factor?

Answered: Image /qna-images/answer/594de9f6-403b-4849-be77-3fb8184d7cc5.jpg

Answered: Question 2 The Papaye fast-food…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

1. A manager at an ice cream store to determine how many customers to expect on any given day. Overall business has been relatively steady over the past several years, but the customer count seems to have ups and downs. He collects data over 30 days and records the number of customers, the high temperature (in degrees Fahrenheit), and whether the day fell on the weekend (weekend equals 1 if weekend, 0 otherwise). A portion of the data is shown in the accompanying table. Customers Temperature Weekend 385 70 0 423 75 1 505 74 0 343 68 1 519 73 1 595 81 1 656 90 0 584 82 1 438 74 1 447 69 1 360…
Q1) Emergency calls to the 911 system of Durham, North Carolina, for the past 24 weeks are shown in the following table: WEEK 1 4 5 6 7 8 9 10 11 12 CALLS 50 35 25 40 45 35 20 30 35 20 15 40 WEEK 13 14 15 16 17 18 19 20 21 22 23 24 CALLS 55 35 25 55 55 40 35 60 75 50 40 65 a) Compute the exponentially smoothed forecast of calls for each week. Assume an initial forecast of 50 calls in the first week, and use alpha = 0.2. What is the forecast for week 25? b) Reforecast each period using alpha = 0.6. c) Actual calls during week 25 were 85. Calculate tracking signal for each period. 3.
In his doctoral thesis, L. A. Beckel (University of Minnesota, 1982) studied the social behavior of river otters during the mating season. An important role in the bonding process of river otters is very short periods of social grooming. After extensive observations, Dr. Beckel found that one group of river otters under study had a frequency of initiating grooming of approximately 1.7 for each 10 minutes. Suppose that you are observing river otters for 40 minutes. Let r = 0, 1, 2, ... be a random variable that represents the number of times (in a 40-minute interval) one otter initiates social grooming of another. Lambda = 6.8 (b) Find the probabilities that in your 40 minutes of observation, one otter will initiate social grooming four times, five times, and six times. (Round your answers to four decimal places.) P(4) = P(5) = P(6) =
This exercise requires the use of technology.Four sectors of the Australian economy are (1) agriculture, (2) forestry, fishing, and hunting, (3) meat and milk products, and (4) other food products. Suppose in 1978-79 the input-output table involving these four sectors was as follows (all figures are in millions of Australian dollars). To 1 2 3 4 From 1 678.1 3.7 3,341.6 1,023.4 2 15.8 6.9 17.8 124.6 3 47.9 4.1 893.8 145.1 4 312.5 22.7 83.1 693.3 Total Output 9,401.7 685.6 6,997.3 4,818.1 (a) How much additional production by the meat and milk sector is necessary to accommodate a $100 increase in the demand for agriculture? (Round your answer to two decimal places.)$ million(b) Which sector requires most of its own product in order to meet a $1 increase in external demand for that product? agriculture forestry, fishing, and hunting meat and milk products other food products
Mariah Jacobsen is the marketing manager at ABC Electronics, a major consumer electronics supplier in the northwest. Over the last five years, sales of the company's flagship product - the Wizer Anonymizer (the WA) - have been 45000, 45500, 44500, 46000 and 44000 units. This rate of sales is considered average for the product over the last twenty years or so. Ms. Jacobsen believes that the distribution of the WA's sales is normal with a standard deviation of 1500 units. If she were asked to make a forecast of next year's sales to upper management, what is the likelihood that she would be correct if she predicts sales between 43000 and 46000?
Select one: a. time-series b. cross sectional c. panel Business School Full-Time Enrollment Students per Faculty Local Tuition ($) Foreign Tuitiion ($) English Test Work Experience Starting Salary ($) 1 Melbourne Business School 200 5 24,420 29,600 No Yes 71,400 2 University of New South Wales (Sydney) 228 4 19,993 32,582 No Yes 65,200 3 Indian Institute of Management (Ahmedabad) 392 5 4,300 4,300 No No 7,100 4 Chinese University of Hong Kong 90 5 11,140 11,140 No No 31,000 5 International University of Japan (Niigata) 126 4 33,060 33,060 Yes No 87,000 6 Asian Institute of Management (Manila) 389 5 7,562 9,000 No Yes 22,800 7 Indian Institute of Management (Bangalore) 380 5 3,935 16,000 No No 7,500 8 National University of Singapore 147 6 6,146 7,170 Yes Yes 43,300 9 Indian Institute of Management (Calcutta) 463 8 2,880 16,000 No No 7,400 10 Australian National University (Canberra) 42 2 20,300 20,300 Yes Yes 46,600 11 Nanyang Technological…
Suppose you are a production manager for a small firm that manufactures designer phone cases. Your production facility utilizes three machines. Quality is binary — each phone case is either defective or it is not defective. Each hour, Machines 1, 2, and 3 produce 10, 10 and 20 phone cases, respectively. But because the machines differ slightly in their technology, data on past production has shown that they differ in terms of their rates of defective output — specifically, Machines 1, 2, and 3 have rates of defective production of 2%, 4%, and 5%, respectively. If one phone case is selected randomly from one hour’s total output, and that phone case is found to be defective, what is the probability that it was produced by Machine 1? Machine 2? Machine 3?
A car rental agency in a major city has a total of 4600 cars that it rents from three locations: Metropolis Airport, downtown, and the smaller City Airport. Some weekly rental and return patterns are shown in the table (note that Airport means Metropolis Airport). Returned to AP DT CA 90% 10% 10% Airport (AP) Downtown (DT) 5% 80% 5% Rented from At the beginning of a week, how many cars should be at each location so that the same number of cars will be there at the end of the week (and hence at the start of the next week)? AP DT CA Need Help? cars cars cars Read It Watch t Talk to a Tutor
Question 4 Multi-Server QueueA supermarket manager is trying to decide how many cashers to employ for the peak time. The service times for check outs are exponentially distributed with a mean service time of 3 minutes. Customer arrivals to cashiers follow a Poisson arrival process with an average 110 customers per hour.a. What is the minimum number of cashers that would be needed to have the utilization less than one?b. If the waiting time is too long, customers might leave the store or even do not enter the store. It is estimated that for every minute of waiting time, the supermarket loses a potential profit of 50 HKD every hour from lost sales. The hourly wage for a casher is 80 HKD / hour. How many cashers should the supermarket employ to maximize its profit? (Keep four decimal places.

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS