Operations Management
11th Edition
ISBN: 9780132921145
Author: Jay Heizer
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Question
Chapter D, Problem 4P
a)
Summary Introduction
To determine: Probability that person T is idle.
Introduction: The mathematical study which analyses the causes of delay in the waiting line is known as queuing theory. The theory examines all components in the waiting line such as arrival process, service process, and number of servers, system and customers.
b)
Summary Introduction
To determine: The portion of time person T is busy.
c)
Summary Introduction
To determine: The average number of dogs being vaccinated and waiting to be vaccinated.
d)
Summary Introduction
To determine: The average number of dogs waiting to be vaccinated.
e)
Summary Introduction
To determine: The average waiting time for a dog before getting vaccinated.
f)
Summary Introduction
To determine: The average time dog spent waiting in line and being vaccinated.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
2
Question 4
A petrol station in the capital Kingstown has a single pump manned by one attendant.
Vehicles arrive at the rate of 20 customers per hour and petrol filling takes 2 minutes on an
average. Assume the arrival rate is Poisson probability distribution and service rate is
exponentially distributed. Arrivals tend to follow a Poisson distribution, and service times
tend to be exponential. The attendant is paid $10 per hour, but because of lost goodwill and
sales, station loses about $15 per hour of customer time spent waiting for the attendant to
service and order.
Part A
Answer the following questions based on single channel model:
a. What is the probability that no customers are in the system (Po)?!
b. What is the average number of customers waiting for service (Lq)?
c. What is the average number of customers in the system (L)?…………..
d. What is the average time a customer waits for service (Wq)?!
e. What is the average time in the system (W)?❤❤
s
f. What is the probability that a…
Question 8
(Atlantic Video) Atlantic Video, a small video rental store in Philadelphia, is open 24 hours a
day, and—due to its proximity to a major business school—experiences customers arriving
around the clock. A recent analysis done by the store manager indicates that there are 30
customers arriving every hour, with a standard deviation of interarrival times of 2 minutes. This
arrival pattern is consistent and is independent of the time of day. The checkout is currently
operated by one employee, who needs on average 1.7 minutes to check out a customer. The
standard deviation of this check-out time is 3 minutes, primarily as a result of customers taking
home different numbers of videos.
a. If you assume that every customer rents at least one video (i.e., has to go to the
checkout), what is the average time a customer has to wait in line before getting served
by the checkout employee, not including the actual checkout time (within 1 minute)?
b. If there are no customers requiring…
Chapter D Solutions
Operations Management
Ch. D - Prob. 1DQCh. D - Prob. 2DQCh. D - Question 3. Name the three factors that govern the...Ch. D - Prob. 4DQCh. D - Prob. 5DQCh. D - Prob. 6DQCh. D - Prob. 7DQCh. D - Prob. 8DQCh. D - Prob. 9DQCh. D - Question 10. Describe the behavior of a waiting...
Ch. D - Question 11. Discuss 1he likely outcome of a...Ch. D - Prob. 12DQCh. D - Prob. 13DQCh. D - Prob. 14DQCh. D - Question 15. What happens if two single-server...Ch. D - Prob. 16DQCh. D - Prob. 17DQCh. D - Prob. 1PCh. D - Prob. 2PCh. D - Question D.3 Paul Fenster owns and manages a...Ch. D - Prob. 4PCh. D - Prob. 5PCh. D - Prob. 6PCh. D - Question D.7 Automobiles arrive at the...Ch. D - Question D.8 Virginias Ron McPherson Electronics...Ch. D - Question D.9 Neve Commercial Bank is the only...Ch. D - Question D.10 Beate Klingenberg manages a...Ch. D - Question D.11 Bill Youngdahl has been collecting...Ch. D - Question D.12 The wheat harvesting season in the...Ch. D - Prob. 13PCh. D - Prob. 14PCh. D - Prob. 15PCh. D - Prob. 16PCh. D - Prob. 17PCh. D - Prob. 18PCh. D - Question D.19 One mechanic services 5 drilling...Ch. D - Prob. 20PCh. D - Prob. 21PCh. D - Prob. 22PCh. D - Prob. 23PCh. D - Prob. 24PCh. D - Question New England Foundry For more than 75...Ch. D - Prob. 1.2CSCh. D - New England Foundry For more than 75 years, New...Ch. D - Question The Winter Park Hotel Lori Cook, manager...Ch. D - Question The Winter Park Hotel Lori Cook, manager...
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.Similar questions
- Question 5 We have a dataset of different countries and we want to generate an indicator that indicates whether the country is in Africa or not. We also have a variable named "continent" that is a categorical string variable indicating the continent of the country. What is the correct syntax to generate an indicator variable named Africa that is equal to 1 if the country is in Africa and 0 otherwise: gen Africa = (continent=="Africa") gen Africa = (continent==Africa) gen Africa= (continent = "Africa") gen Africa = 1 if continent == "Africa"arrow_forwardQuestion 21 Binary variables are best suited to be the decision variables when dealing with yes-or-no decisions. O True Falsearrow_forwardQUESTION 1 (a) An art dealer's client is willing to buy the Sunflower painting at $50,000. The dealer can buy the painting today for $40,000 or can wait a day and buy the painting tomorrow (if it has not been sold) for $30,000. The dealer may also wait another day and buy the painting (if it is still available) for $26,000. At the end of the third day, the painting will no longer be available for sale. Each day, there is a 0.60 probability that the painting will be sold. Construct a decision tree and determine the strategy that will maximize the dealer's expected profit.arrow_forward
- Question related to queing theory An overhead crane of ABC Ltd. moves jobs from one machine to another and must be used every time a machine requires loading or unloading. The demand for service is random. Data taken by recording the elapsed time between service calls followed an exponential distribution having a mean of a call every 26 minutes. In a similar manner, the actual service time of loading or unloading took an average of 10 minutes. If the machine time is valued at Rs. 8.50 per hour, how much does the downtime cost per day?arrow_forwardExplain it early and correctlyarrow_forwardQ. Cypress River Landscape Supply is a large wholesale supplier of landscaping materials in Georgia. Cypress River's sales vary seasonally; sales tend to be higher in the spring months than in other months.a. Suppose Cypress River estimates a linear trend without accounting for this seasonal variation. What effect would this omission have on the estimated sales trend?b. Alternatively, suppose there is, in fact, no seasonal pattern to sales, and the trend line is estimated using dummy variables to account for seasonality. What effect would this have on estimation? Thank you for providing answer.arrow_forward
- Chapter 5. (M/M/s/K Model). Leia is responsible for 13 data units in the IT offices in a small business called DataWish. Each data unit runs on an average for 3 weeks and requires an average of ½ or 0.5 weeks to get reset by Leia before it can start up again. If we assign the Poisson distribution to the “arrival” of each data unit for service and an exponential distribution to the actual service provided, answer the following questions: a. The arrival rate would be units per week and the service rate would be units per week. b. Calculate the following operating characteristics for the M/M/s/K system: Utilization Factor (ρ) % Performance Measures P0 (probability that sytem is empty) % L (average units in system) units Lq (average units waiting in queue) units W (average time in the system) weeks Wq (average time in the queue) weeks c. If we assign a cost of waiting as $400 per week per data unit and $800 per…arrow_forwardQuestion 1 Consider a consumer living during a time of civil war. In order to maximise her utility, the consumer can purchase goods by paying cash or by using coupons that the government hands out (also referred to as “rationing"). Suppose you wish to model the consumer's behaviour as a constrained maximisation problem. To simplify matters, you assume that there are only two goods in the economy, x and y, and that the consumer's utility function is given by U(x, y) = xy². You further assume the price of good x and y in the cash market is 20. However, in the coupon market you assume the price of good x is 40, while the price of good y is 20. You also make the assumption that the consumer has a cash budget of 2000 and a total allotment of coupons of 2400. Last, you assume that the consumer cannot consume negative quantities of goods, so that x >0 and y > 0 (the non-negativity constraints). 1.1. First set up the consumer's constraint functions as inequality constraints (in other words,…arrow_forwardPlease help with constraints. Question provided below with data. Not sure why the dummy constraint is incorrect.arrow_forward
- Help me pleasearrow_forwardQuestion Help Tract Tract Coorainates 101 2,000 5,000 10,500 (24,44) (25,24) (52.45) (52,18) (80,48) (70,20) (90,25) 102 103 104 7.200 105 10,000 21,000 106 107 12,000 a) The center-of-gravity coordinates for the location of the proposed outlet in Mobile, Alabama should be: x = 65.63 (round your response to two decimal places). y = 29.69 (round your response to two decimal places). %3D b) Census tracts 103 and 105 are each projected to grow by 30% in the next year The new center-of-gravity coordinates for the location of the proposed outlet in Mobile, Alabama should be: orrect: 0 (round your response to two decimal places). Enter vour answer in the answer box and then click Check Answerarrow_forwardY9arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Practical Management ScienceOperations ManagementISBN:9781337406659Author:WINSTON, Wayne L.Publisher:Cengage,Operations ManagementOperations ManagementISBN:9781259667473Author:William J StevensonPublisher:McGraw-Hill EducationOperations and Supply Chain Management (Mcgraw-hi...Operations ManagementISBN:9781259666100Author:F. Robert Jacobs, Richard B ChasePublisher:McGraw-Hill Education
- Purchasing and Supply Chain ManagementOperations ManagementISBN:9781285869681Author:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. PattersonPublisher:Cengage LearningProduction and Operations Analysis, Seventh Editi...Operations ManagementISBN:9781478623069Author:Steven Nahmias, Tava Lennon OlsenPublisher:Waveland Press, Inc.
Practical Management Science
Operations Management
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:Cengage,
Operations Management
Operations Management
ISBN:9781259667473
Author:William J Stevenson
Publisher:McGraw-Hill Education
Operations and Supply Chain Management (Mcgraw-hi...
Operations Management
ISBN:9781259666100
Author:F. Robert Jacobs, Richard B Chase
Publisher:McGraw-Hill Education
Purchasing and Supply Chain Management
Operations Management
ISBN:9781285869681
Author:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson
Publisher:Cengage Learning
Production and Operations Analysis, Seventh Editi...
Operations Management
ISBN:9781478623069
Author:Steven Nahmias, Tava Lennon Olsen
Publisher:Waveland Press, Inc.
Introduction to Forecasting; Author: Ekeeda;https://www.youtube.com/watch?v=5eIbVXrJL7k;License: Standard YouTube License, CC-BY