A warehouse manager 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 suggests the following probability distribution. Convert this distribution into random number intervals.
$$\begin{array} { | c | c | }
\hline \text { Demand during lead time } & \text { Probability } \
\hline 100 & .02 \
\hline 120 & .15 \
\hline 140 & .25 \
\hline 160 & .15 \
\hline 180 & .13 \
\hline 200 & .30 \
\hline
\end{array}$$

Question

A warehouse manager 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 suggests the following probability distribution. Convert this distribution into random number intervals.
 $$\begin{array} { | c | c | } 
\hline \text { Demand during lead time } & \text { Probability } \
\hline 100 & .02 \
\hline 120 & .15 \
\hline 140 & .25 \
\hline 160 & .15 \
\hline 180 & .13 \
\hline 200 & .30 \
\hline
\end{array}$$

Quizplus · Accepted Answer

The Answer of A warehouse manager 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 suggests the following probability distribution. Convert this distribution into random number intervals.
 $$\begin{array} { | c | c | } 
\hline \text { Demand during lead time } & \text { Probability } \
\hline 100 & .02 \
\hline 120 & .15 \
\hline 140 & .25 \
\hline 160 & .15 \
\hline 180 & .13 \
\hline 200 & .30 \
\hline
\end{array}$$

A Warehouse Manager Needs to Simulate the Demand Placed on a Product