Practical Operations Management
2nd Edition
ISBN: 9781939297136
Author: Simpson
Publisher: HERCHER PUBLISHING,INCORPORATED
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Chapter 4, Problem 22P
Summary Introduction
Interpretation: Based on the
Concept Introduction: The procedure of predicting the future value on the basis of the previous prediction and a segment of the errors in the earlier prediction is called as Simple exponential smoothing forecast.
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Over the past 12 months, Super Toy Mart has experienced a demand variance of
10,250
units and has produced an order variance of
12,050
units.
Part 2
a) The bullwhip measure for Super Toy Mart is
______
(round your response to two decimal places).
Part 3
b) If Super Toy Mart had made a perfect forecast of demand over the past 12 months and had decided to order 1/12 of that annual demand each month, the bullwhip measure would have been
______
(round your response to the nearest whole number.)
A popular brand of tennis shoe has had the following demand history by quarters over a three-year period.
a. Determine the seasonal factors for each quarter.b. Based on the result of part (a), determine the deseasonalized demand series.c. Predict the demand for each quarter of Year 4 for the deseasonalized series from a six-quarter moving average.d. Using the results from parts (a) and (c), predict the demand for the shoes for each quarter of Year 4.
Problem 20-10 (Algo)
You are a newsvendor selling San Pedro Times every morning. Before you get to work, you go to the printer and buy the day's paper
for $0.30 a copy. You sell a copy of San Pedro Times for $1.10. Daily demand is distributed normally with mean = 265 and standard
deviation = 53. At the end of each morning, any leftover copies are worthless and they go to a recycle bin.
a. How many copies of San Pedro Times should you buy each morning? (Use Excel's NORMSINV() function to find the correct critical
value for the given a-level. Round your z-value to 2 decimal places and final answer to to 2 decimal places.)
Optimal order quantity
b. Based on a, what is the probability that you will run out of stock? (Round your answer to the nearest whole number.)
Probability
Chapter 4 Solutions
Practical Operations Management
Ch. 4 - Prob. 1DQCh. 4 - Prob. 2DQCh. 4 - Prob. 3DQCh. 4 - Prob. 4DQCh. 4 - Prob. 1PCh. 4 - Prob. 2PCh. 4 - Prob. 3PCh. 4 - Prob. 4PCh. 4 - Prob. 5PCh. 4 - Prob. 6P
Ch. 4 - Prob. 7PCh. 4 - Prob. 8PCh. 4 - Prob. 9PCh. 4 - Prob. 10PCh. 4 - Prob. 11PCh. 4 - Prob. 12PCh. 4 - Prob. 13PCh. 4 - Prob. 14PCh. 4 - Prob. 15PCh. 4 - Prob. 16PCh. 4 - Prob. 17PCh. 4 - Prob. 18PCh. 4 - Prob. 19PCh. 4 - Prob. 20PCh. 4 - Prob. 21PCh. 4 - Prob. 22PCh. 4 - Prob. 23PCh. 4 - Prob. 24PCh. 4 - Prob. 25PCh. 4 - Prob. 26PCh. 4 - Prob. 27PCh. 4 - Prob. 28PCh. 4 - Prob. 29PCh. 4 - Prob. 30PCh. 4 - Prob. 31PCh. 4 - Prob. 32PCh. 4 - Prob. 1.1QCh. 4 - Prob. 1.2QCh. 4 - Prob. 1.3QCh. 4 - Prob. 1.4QCh. 4 - Prob. 2.1QCh. 4 - Prob. 2.2QCh. 4 - Prob. 2.3QCh. 4 - Prob. 2.4QCh. 4 - Prob. 3.1QCh. 4 - Prob. 3.2QCh. 4 - Prob. 3.3Q
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