OPERATIONS MANAGEMENT IN THE SUPPLY CHAIN: DECISIONS & CASES (Mcgraw-hill Series Operations and Decision Sciences)
7th Edition
ISBN: 9780077835439
Author: Roger G Schroeder, M. Johnny Rungtusanatham, Susan Meyer Goldstein
Publisher: McGraw-Hill Education
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Textbook Question
Chapter 10.S, Problem 4P
eXcel Management believes there is a seasonal pattern in the above data for the Donut-Hole Shop (see problem 2), with the first two days of a week representing one level; the third and fourth days representing a second level; and the fifth, sixth, and seventh days a third level. Thus, three seasonal factors have been suggested: R0 = .9, R-t = 1.3, and R-2 = .8.
- a. Simulate a
forecast of demand for days 1 to 7 using = 85, T0 = O, and α = β = y = .1. - b. Comment on the appropriateness of the forecasts developed.
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Students have asked these similar questions
1. Which of the following is indicative of the season of heaviest demand when seasonality is
measured on a quarterly basis?
a. Seasonal index = .75
b. Seasonal index = 1.0
c. Seasonal index = 1.25
d. Seasonal index = 3.1
Answer:
2. The forecast calculated at the end of period t for period t+k is always the same for any value
of k if the time series has systematic variability.
A) True
B) False
2-The correlation between rate and base are called the dynamic forecast. Select one:
O True O False
Here are the actual tabulated demands for an item for a nine-month period (January through September). Your supervisor wants to test
two forecasting methods to see which method was better over this period.
MONTH
АCTUAL
January
February
March
April
124
125
154
174
May
161
June
180
July
August
September
144
138
142
a. Forecast April through September using a three-month moving average. (Round your answers to 2 decimal places.)
Three-Month
Moving Average
134.33
Month
April
May
151.00
June
163.00
July
171.66
August
161.66
September
154.00
b. Use simple exponential smoothing with an alpha of 0.40 to estimate April through September, using the average of January
through March as the initial forecast for April. (Round your answers to 2 decimal places.)
Exponential
Smoothing
Month
April
142.20
May
154.92
June
157.35
July
166.41
August
157.45
September
149.67
Chapter 10 Solutions
OPERATIONS MANAGEMENT IN THE SUPPLY CHAIN: DECISIONS & CASES (Mcgraw-hill Series Operations and Decision Sciences)
Ch. 10.S - Ace Hardware sells spare parts for lawn mowers....Ch. 10.S - eXcel The daily demand for chocolate donuts from...Ch. 10.S - The SureGrip Tire Company produces tires of...Ch. 10.S - eXcelManagement believes there is a seasonal...Ch. 10.S - Management of the ABC Floral Shop believes that...Ch. 10 - Prob. 1DQCh. 10 - What is the distinction between forecasting and...Ch. 10 - Qualitative forecasting methods should be used...Ch. 10 - Describe the uses of qualitative, time-series, and...Ch. 10 - Qualitative forecasts and causal forecasts are not...
Ch. 10 - Prob. 6DQCh. 10 - What are the advantages of exponential smoothing...Ch. 10 - How should the choice of be made for exponential...Ch. 10 - Prob. 9DQCh. 10 - Prob. 10DQCh. 10 - Explain how CPFR can be used to reduce forecasting...Ch. 10 - Under what circumstances might CPFR be useful, and...Ch. 10 - Daily demand for marigold flowers at a large...Ch. 10 - The number of daily calls for the repair of Speedy...Ch. 10 - 3-The ABC Floral Shop sold the following number of...Ch. 10 - The Handy Dandy Department Store had forecast...Ch. 10 - 5-The Yummy Ice Cream Company uses the exponential...Ch. 10 - Using the data in problem 2, prepare exponentially...Ch. 10 - Compute the errors of bias and absolute deviation...Ch. 10 - eXcel At the ABC Floral Shop, an argument...Ch. 10 - Only a portion of the following table for...Ch. 10 - A candy store has sold the following number of...Ch. 10 - eXcel A grocery store sells the following number...Ch. 10 - Prob. 12PCh. 10 - The Easyfit tire store had demand for tires shown...Ch. 10 - Prob. 14P
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