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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Chapter 10.S, Problem 2P
eXcel The daily demand for chocolate donuts from the Donut Hole Shop has been recorded for a two week period.
| Day | Demand | Day | Demand |
| 1 | 80 | 8 | 85 |
| 2 | 95 | 9 | 99 |
| 3 | 120 | 10 | 110 |
| 4 | 110 | 11 | 90 |
| 5 | 75 | 12 | 80 |
| 6 | 60 | 13 | 65 |
| 7 | 50 | 14 | 50 |
- a. Simulate a
forecast of the demand using trend adjusted exponential smoothing Use values of Ao = 90. T0 = 25, and α = β = .2. - b. Plot the data and the forecast on a graph.
- c. Does this appear to be a good model for the data?
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Students have asked these similar questions
. Given the following data for demand at the XYZ Company, calculate the monthly forecast using a 4-month moving average. Calculate the Forecast, Error, MAD (mean absolute percentage error), Bias and the TS (tracking signal) .
Period
Demand
Forecast
Error
MAD
Bias
TS
2-Oct 2020
850
2-Nov 2020
950
2-Dec 2020
900
2-Jan 2021
1000
2-Feb 2021
950
2-Mar 2021
1050
2-Apr 2021
850
2-May 2021
800
2-June 2021
900
2-July 2021
1000
Bradley's Copiers sells and repairs photocopy machines. The manager needs weekly forecasts of service calls so that he can schedule service personnel. Use the actual demand in the first period for the forecast for the first week so error measurement begins in the second week. The manager uses exponential smoothing with alpha = 0.5
Forecast the number of calls for week 6, which is next week.
Week
Actual service calls
1
28
2
36
3
38
4
25
5
25
The forecast for week 6 is ___ service calls (round to two decimals and show your work)
The following tabulations are actual sales of units for six months and a starting forecast in January.
FORECAST
80
January
February
March
April
May
June
ACTUAL
100
94
106
80
68
94
a. Calculate forecasts for the remaining five months using simple exponential smoothing with a = 0.2.
February
March
April
May
June
Forecasts
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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