Consider a three-firm supply chain consisting of a retailer, manufacturer, and supplier. The retailer's demand over an 8-week period was 110 units each of the first 2 weeks, 210 units each of the second 2 weeks, 310 units each of the third 2 weeks, and 410 units each of the fourth 2 weeks. The following table presents the orders placed by each firm in the supply chain. Notice, as is often the case in supply chains due to economies of scale, that total units are the same in each case, but firms further up the supply chain (away from the retailer) place larger, less frequent, orders Click the icon to view the orders placed by each firm in the supply chain. Click the icon to view the ways of calculating the variance. a) What is the bullwhip measure for the retailer? The bullwhip measure for the retaler is 1 (Enter your response rounded to two decimal places) b) What is the bullwhip measure for the manufacturer? The bullwhip measure for the manufacturer is (Enter your response rounded to two decimal places) More Info Recall that the sample varlance of a data set can be found by using the VARS function in Excel or by plugging each value x of the data set into the formula Σ(x-5)² (n-1) where is the mean of the data set and is the number of values in the set Variance More Info Week 2 3 4 5 6 7 Retailer 110 110 210 210 310 310 410 410 Print Manufacturer 220 420 620 Done Supplier 640 1,440 X
Consider a three-firm supply chain consisting of a retailer, manufacturer, and supplier. The retailer's demand over an 8-week period was 110 units each of the first 2 weeks, 210 units each of the second 2 weeks, 310 units each of the third 2 weeks, and 410 units each of the fourth 2 weeks. The following table presents the orders placed by each firm in the supply chain. Notice, as is often the case in supply chains due to economies of scale, that total units are the same in each case, but firms further up the supply chain (away from the retailer) place larger, less frequent, orders Click the icon to view the orders placed by each firm in the supply chain. Click the icon to view the ways of calculating the variance. a) What is the bullwhip measure for the retailer? The bullwhip measure for the retaler is 1 (Enter your response rounded to two decimal places) b) What is the bullwhip measure for the manufacturer? The bullwhip measure for the manufacturer is (Enter your response rounded to two decimal places) More Info Recall that the sample varlance of a data set can be found by using the VARS function in Excel or by plugging each value x of the data set into the formula Σ(x-5)² (n-1) where is the mean of the data set and is the number of values in the set Variance More Info Week 2 3 4 5 6 7 Retailer 110 110 210 210 310 310 410 410 Print Manufacturer 220 420 620 Done Supplier 640 1,440 X
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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only HANDWRITTEN answer needed ( NOT TYPED)
Transcribed Image Text:Consider a three-firm supply chain consisting of a retailer, manufacturer, and supplier. The retailer's demand over an 8-week period was 110 units each of the first 2 weeks, 210 units each of the
second 2 weeks, 310 units each of the third 2 weeks, and 410 units each of the fourth 2 weeks. The following table presents the orders placed by each firm in the supply chain. Notice, as is often the
case in supply chains due to economies of scale, that total units are the same in each case, but firms further up the supply chain (away from the retailer) place larger, less frequent, orders
Click the icon to view the orders placed by each firm in the supply chain.
Click the icon to view the ways of calculating the variance.
a) What is the bullwhip measure for the retailer?
The bullwhip measure for the retaler is 1 (Enter your response rounded to two decimal places)
b) What is the bullwhip measure for the manufacturer?
The bullwhip measure for the manufacturer is (Enter your response rounded to two decimal places)
More Info
Recall that the sample varlance of a data set can be found by using the VARS
function in Excel or by plugging each value x of the data set into the formula
Σ(x-5)²
(n-1)
where is the mean of the data set and is the number of values in the set
Variance
More Info
Week
2
3
4
5
6
7
Retailer
110
110
210
210
310
310
410
410
Print
Manufacturer
220
420
620
Done
Supplier
640
1,440
X
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