A warehouse manager at Mary Beth Marrs Corp. needs to simulate the demand placed on a product that does not fit standard models. The concept being measured is "demand during lead time," where both lead time and daily demand are variable. The historical record for this product, along with the cumulative distribution, appear in the table. Demand During Lead Time Cumulaive Probability Probability 120 0.01 0.01 140 0.12 0.13 160 0.35 0.48 180 0.20 0.68 200 0.04 0.72 220 0.08 0.80 240 0.20 1.00 The following random numbers have been generated: 9, 78, 40, 41, and 99. (Note: Assume the random number interval begins at 01 and ends at 00.) Based on the given probabilty distribution, for the given random number the demand during the lead time is: Random Number 9 78 40 41 99 Demand The average demand during the lead time is (enter your response as an integer). The total demand during the lead time based on the five simulations is (enter your response as an integer).

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Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
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A warehouse manager at Mary Beth Marrs Corp. needs to simulate the demand placed on a product that does not fit
standard models. The concept being measured is "demand during lead time," where both lead time and daily demand are
variable. The historical record for this product, along with the cumulative distribution, appear in the table.
Demand During
Lead Time
Cumulaive
Probability
Probability
120
0.01
0.01
140
0.12
0.13
160
0.35
0.48
180
0.20
0.68
200
0.04
0.72
220
0.08
0.80
240
0.20
1.00
The following random numbers have been generated: 9, 78, 40, 41, and 99. (Note: Assume the random number interval
begins at 01 and ends at 00.)
Based on the given probabilty distribution, for the given random number the demand during the lead time is:
Random Number
9
78
40
41
99
Demand
The average demand during the lead time is
(enter your response as an integer).
The total demand during the lead time based on the five simulations is (enter your response as an integer).
Transcribed Image Text:A warehouse manager at Mary Beth Marrs Corp. needs to simulate the demand placed on a product that does not fit standard models. The concept being measured is "demand during lead time," where both lead time and daily demand are variable. The historical record for this product, along with the cumulative distribution, appear in the table. Demand During Lead Time Cumulaive Probability Probability 120 0.01 0.01 140 0.12 0.13 160 0.35 0.48 180 0.20 0.68 200 0.04 0.72 220 0.08 0.80 240 0.20 1.00 The following random numbers have been generated: 9, 78, 40, 41, and 99. (Note: Assume the random number interval begins at 01 and ends at 00.) Based on the given probabilty distribution, for the given random number the demand during the lead time is: Random Number 9 78 40 41 99 Demand The average demand during the lead time is (enter your response as an integer). The total demand during the lead time based on the five simulations is (enter your response as an integer).
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