Operations Management: Processes and Supply Chains (12th Edition) (What's New in Operations Management)
12th Edition
ISBN: 9780134741062
Author: Lee J. Krajewski, Manoj K. Malhotra, Larry P. Ritzman
Publisher: PEARSON
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Textbook Question
Chapter 8, Problem 9P
Consider the sales data for Computer Success given in Problem 7.
- Use a 3-month weighted moving average to
forecast the sales for the months April through December. Use weights of - Use exponential smoothing with
- Compare the performance of the two methods by using the mean absolute deviation as the performance criterion, with error measurement beginning in April. Which method would you recommend?
- Compare the performance of the two methods by using the mean absolute percent error as the performance criterion, with error measurement beginning in April. Which method would you recommend?
- Compare the performance of the two methods by using the mean squared error as time performance criterion, with error measurement beginning in April. Which beginning would you recommend?
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The following data are for calculator sales in units at an electronics store over the past nine weeks:
Week
Sales
Week
Sales
1
45
53
2
50
7
59
3
44
8.
59
4
51
9
64
5
57
Use trend projection with regression to forecast sales for weeks 10 - 13. What are the error measures (CFE, MSE, o, MAD, and MAPE) for this forecasting procedure? How about ?
Obtain the trend projection with regression forecast for weeks 10 – 13. (Enter your responses rounded to two decimal places.)
Period
Forecast, F,
10
64.81
11
67.06
12
69.31
13
71.56
Obtain the error measures. (Enter your responses rounded to two decimal places.)
CFE
MSE
MAD
МАРЕ
The following data are for calculator sales in units at an electronicsstore over the past 9 weeks:Week Sales Week Sales1 46 6 582 49 7 623 43 8 564 50 9 635 53Use trend projection with regression to forecast sales for weeks 10–13. What are the error measures (CFE, MSE, s, MAD, and MAPE) for this forecasting procedure? How about r2?
The monthly sales for Yazici Batteries, Inc., were as follows:
Month
Jan
Feb
Mar
Apr May
Jun
Jul
Aug Sept
Oct
Nov
Dec
Sales
20
21
16
14
11
16
17
19
22
20
20
24
This exercise contains only parts b and c.
b) The forecast for the next month (Jan) using the naive method =
sales (round your response to a whole number).
The forecast for the next period (Jan) using a 3-month moving average approach =
sales (round your response to two decimal places).
The forecast for the next period (Jan) using a 6-month weighted average with weights of 0.10, 0.10, 0.10, 0.20, 0.20, and 0.30, where the heaviest
weights are applied to the most recent month = sales (round your response to one decimal place).
sales (round your response
Using exponential smoothing with a = 0.30 and a September forecast of 18.00, the forecast for the next period (Jan) =
to two decimal places).
Using a method of trend projection, the forecast for the
month (Jan) = sales (round your response to two decimal places).
c) The method…
Chapter 8 Solutions
Operations Management: Processes and Supply Chains (12th Edition) (What's New in Operations Management)
Ch. 8 - Figure 8.9 shows summer air visibility...Ch. 8 - Kay and Michael Passe publish What‘s...Ch. 8 - Demand for oil changes at Garcia’s Garage has...Ch. 8 - Prob. 2PCh. 8 - Ohio Swiss Milk Products manufactures and...Ch. 8 - A manufacturing firm has developed a skills test,...Ch. 8 - The materials handling manager of a manufacturing...Ch. 8 - Marianne Kramer, the owner of Handy Man Rentals,...Ch. 8 - Sales for the past 12 months at Computer Success...Ch. 8 - Bradley’s Copiers sells and repairs photocopy...
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