Operations Management: Sustainability and Supply Chain Management (12th Edition)
12th Edition
ISBN: 9780134130422
Author: Jay Heizer, Barry Render, Chuck Munson
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Question
Chapter F, Problem 1P
Summary Introduction
To determine: The sales of sandwich for 10 days.
Introduction: Simulation is the model that can be used in operations, which would imitate the real world process. Simulation uses random sampling for the generation of realistic variability.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
QUESTION 4
Suppose the following are the seasonal indices for the first three quarters of the year for a quarterly series:
Quarter
Seasonal Index
Q1
72.4
Q2
85.3
Q3
109.6
Remember that the seasonal indices should average 100 so you should be able to infer the seasonal index for Q4. Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series on Time are given below:
Coefficients
Intercept
2,506
Time
71.3
If the original value of the series in a Q1 was 2,040, then what is the seasonally adjusted value? (please round your answer to 1 decimal place)
QUESTION 3
A department store has recorded the sales of the best selling can opener model during the last 6 months. Observed values of the can opener sales are:
Period
1
2
3
4
5
6
Sales
25
22
26
33
28
30
Use Holt’s double exponential smoothing with smoothing coefficients α=0.3, β=.15, S1=24.13 and G1=1.484 to calculate F1,2, G2 and S2.
F1,2 =
S2 =
G2 =
Question 3:
Jane is trying to forecast demand for her store, using moving average with n=2,
Fill in the missing cells with correct values and find average error for first quarter and second quarter of year
2000
E
Enroll-
Year
Quarter
ment
Forecast
Error
Abs Error
1997
313
3.
2
285
4
3
312
5.
4
339
6.
1998
1
359
7
320
356
385
6.
10
1999
396
367
11
397
12
423
13
14
2000
1
15
2000
3412M4
Chapter F Solutions
Operations Management: Sustainability and Supply Chain Management (12th Edition)
Ch. F - Question: 1 State the seven steps, beginning with...Ch. F - Question: 2. List the advantages of simulation.Ch. F - Prob. 3DQCh. F - Question: 4. Explain the difference between...Ch. F - Question: 5. What is the role of random numbers in...Ch. F - Prob. 6DQCh. F - Question: 7. What is Monte Carlo simulation? What...Ch. F - Question: 8. List six ways that simulation can be...Ch. F - Question: 9. Why is simulation such a widely used...Ch. F - Prob. 10DQ
Ch. F - Prob. 11DQCh. F - Prob. 12DQCh. F - Prob. 13DQCh. F - Prob. 1PCh. F - Prob. 2PCh. F - Prob. 3PCh. F - Prob. 4PCh. F - Question F.5 Arnold Palmer Hospital is studying...Ch. F - Prob. 6PCh. F - Question: F.7 A warehouse manager at Mary Beth...Ch. F - Prob. 8PCh. F - Question: F.10 The number of cars arriving at...Ch. F - Prob. 10PCh. F - Prob. 11PCh. F - Question: F.14 Refer to the data in Solved...Ch. F - Prob. 16PCh. F - Prob. 17PCh. F - Question: F.15 Connecticut Tanning has two...Ch. F - Prob. 19PCh. F - Prob. 20PCh. F - Prob. 21PCh. F - Prob. 1CSCh. F - Prob. 2CS
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 7 Delphi method is used for judgmental forecast True Falsearrow_forwardQuestion 2 Mr. Ferdinand is a well known entrepreneur who sells fresh organic beef to persons in the local community. Customers love the quality of meet that Mr. Ferdinand sells so they tend to recommend his product to other persons. Recently, Mr. Ferdinand has been running out of beef to sell to his customers. One customer suggests to him that he must use past sales records to forecast demand for his beef so that he can meet his customers demand. I Using a numerical example, demonstrate to Mr. Ferdinand how he can use a three- week and a four-week weighted moving average to forecast demand for his beef. II. Show how Mr. Ferdinand can test the accuracy of his forecast. II. Explain to Mr. Ferdinand two ways in which he can benefit from doing forecast for his beef.arrow_forwardQuestion 2 Mr. Ferdinand is a well known entrepreneur who sells fresh organic beef to persons in the local community. Customers love the quality of meet that Mr. Ferdinand sells so they tend to recommend his product to other persons. Recently, Mr. Ferdinand has been rumning out of beef to sell to his customers. One customer suggests to him that he must use past sales records to forecast demand for his beef so that he can meet his customers demand. Using a numerical example, demonstrate to Mr. Ferdinand how he can use a three- week and a four-week weighted moving average to forecast demand for his beef. I. II. Show how Mr. Ferdinand can test the accuracy of his forecast. III. Explain to Mr. Ferdinand two ways in which he can benefit from doing forecast for his beef. 日正arrow_forward
- QUESTION TWOGM Motors of Lusaka produces electronic motors for power actuated values for block makers in Lusaka. The GM Motors has been in operational for a year now and Mr. Banda, the plant manager, thinks that the growth in sales will continue for the years to come. Mr. Banda wants to develop a long range forecast to be used to plan facility requirements for the next three years. The sales records for the past ten years have been accumulated; Years Annual Sale (K’000)2007 10002008 13002009 18002010 20002011 20002012 20002013 22002014 26002015 29002016 3200 Required:a) Develop a regression equation for predicting the sales for the electronic motors. b) Use the regression equation to predict the sales for the next three year. c) Find the relationship between the sales and the years. Explain what your finding means. 2. A firm uses simple exponential smoothing with a=0.1…arrow_forwardQuestion 11 Time series forecast analyze data obtained from past experience True Falsearrow_forwardQuestion 4 Listen Your Algebra 2 teacher collected data on the number of days each student was absent during a semester and their score, in percent, on the semester exam. The linear regression equation that models the data is ŷ=97.769-3.828x where x represents the number of days absent and y represents the exam score, in percent. The correlation coefficient is r=-0.707 and the coefficient of determination is =0.500. What are the appropriate interpretations of the slope, y-intercept, correlation coefficient, and coefficient of determination? **HINT** Slope: -3.828 y-intercept: 97.769 Correlation coefficient: r = -0.707 The rate the predicted semester exam score decreases for every stu- dent absence. The predicted % score a student will achieve based on having zero absences in a semester. a. correlation coefficient b. y-intercept c. slope The relationship be- tween the number of days a student was ab- sent and their corre- sponding exam score.arrow_forward
- Question 21 Using the moving average can create some problems in the forecast. Which of the following is NOT a problem related to using the moving average? Increasing n smooths the forecast but makes it less sensitive to changes The forecast is created with very little data, likely not reflecting the requirements very accurately Requires extensive historical data O Does not forecast trends wellarrow_forwardQuestion 4 (a) With reference to your department or one in a company or organization that you are familiar with that is involved in generating forecasts of air cargo traffic, propose the purposes for which the forecasts can be employed. In the process of generating air cargo traffic forecasts, appraise the forces that will promote air freight growth and the constraints the air cargo market are likely to face.arrow_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_forward
- QUESTION 2:The manager of YTL Computers wants to develop next year’s quarterly forecasts of salesrevenue for its brand laptops. The sales are seasonal and the company believes that thefollowing most recent eight quarters of sales should be representative of next year’ssales: Year Quarter Sales (millions of dollars) 1 1 9.2 1 2 5.4 1 3 4.3 1 4 14.1 2 1 10.3 2 2 6.4 2 3 5.4 2 4 16.0 Determine the forecast of next year’s quarterly sales revenue for this line of laptops.Show all your workings.arrow_forwardQuestion 40 A company buys medium grade carpet in 100-foot rolls. The average number of defects per roll is 1.8. Assuming that these data follow a Poisson distribution, what is the probability of finding exactly seven defects in a carpet roll chosen at random? 0.001 O 0.002 O 0.003 O 0.004arrow_forwardquestion aarrow_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 Education
Operations 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 Learning
Production 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