OPERATIONS MANAGEMENT
2nd Edition
ISBN: 9781260238877
Author: CACHON
Publisher: RENT MCG
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Textbook Question
Chapter 15, Problem 1CQ
When creating a time series–based forecast for the amount of soda to be sold in the cafeteria next week, which data sources can you include in your
- a. The opinion of the principal
- b. Old demand data
- c. Data about upcoming sports events
- d. The age of the cafeteria worker
Expert Solution & Answer
Summary Introduction
To determine: The data source to be included in time series-based forecast for the quantity of soda to be sold in cafeteria for next week.
Answer to Problem 1CQ
b. Old demand data.
Explanation of Solution
Data to be included in time series-based forecasting:
Option B which is old demand data is correct. Time series based forecasting method utilizes the data from the past to forecast the future demand. So, the past demand data must be included in time series forecasting methods.
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1) View the video Service Processing at BuyCostumes (10.41 minutes, Ctrl+Click on the link); what are your key takeaways (tie to one or more of the topics discussed in Chapter 3) after watching this video. (viddler.com/embed/a6b7054c)
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2) Orkhon Foods makes hand-held pies (among other products). The firm’s weekly sales of hand-held pies over the past seven weeks are given in the table. The firm’s operations manager, Amarjargal, wants to forecast sales for week 8.
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Answer all parts to question 4 and show all working
1) View the video Service Processing at BuyCostumes (10.41 minutes, Ctrl+Click on the link); what are your key takeaways (tie to one or more of the topics discussed in Chapter 3) after watching this video. (viddler.com/embed/a6b7054c)
Note: As a rough guideline, please try to keep the written submission to one or two paragraphs.
2) Orkhon Foods makes hand-held pies (among other products). The firm’s weekly sales of hand-held pies over the past seven weeks are given in the table. The firm’s operations manager, Amarjargal, wants to forecast sales for week 8.
Weeks
Sales of hand-held pies(000s)
1
19
2
18
3
17
4
20
5
18
6
22
7
20
Forecast the week 8 sales using the following approaches:
a) Naïve approach
b) 5-month moving average
c) 3-month weighted moving average using the following weights: 0.50 for week 7, 0.30 for week 6, and 0.20 for week 5.
d) Exponential smoothing using a smoothing constant of 0.30, assume a week 2…
Chapter 15 Solutions
OPERATIONS MANAGEMENT
Ch. 15 - When creating a time seriesbased forecast for the...Ch. 15 - Prob. 2CQCh. 15 - Prob. 3CQCh. 15 - Prob. 4CQCh. 15 - Prob. 5CQCh. 15 - Prob. 6CQCh. 15 - Prob. 7CQCh. 15 - Prob. 8CQCh. 15 - Using the moving average forecast, is it possible...Ch. 15 - Prob. 10CQ
Ch. 15 - Prob. 11CQCh. 15 - Prob. 12CQCh. 15 - Prob. 13CQCh. 15 - Deseasonalizing old demand data is the process of...Ch. 15 - Prob. 15CQCh. 15 - Prob. 1PACh. 15 - Prob. 2PACh. 15 - Prob. 3PACh. 15 - A police station had to deploy police officers for...Ch. 15 - MyApp is a small but growing startup that sees...Ch. 15 - Prob. 6PACh. 15 - Prob. 7PACh. 15 - Prob. 1CCh. 15 - CASE INTERNATIONAL ARRIVALS The U.S. Department of...Ch. 15 - Prob. 3C
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