A waiting-line problem that cannot be modelled by standard distributions has been simulated. The table below shows the result of a Monte Carlo simulation. (Assume that the simulation began at 8:00 a.m. and there is only one server.
$$\begin{array} { | c | c | c | c | }
\hline \text { Customer Number } & \text { Arrival Time } & \text { Service Time } & \text { Service Ends } \
\hline 1 & 8 : 06 & 2 & 8 : 08 \
\hline 2 & 8 : 07 & 10 & 8 : 18 \
\hline 3 & 8 : 12 & 10 & 8 : 28 \
\hline 4 & 8 : 24 & 11 & 8 : 39 \
\hline 5 & 8 : 30 & 5 & 8 : 44 \
\hline
\end{array}$$ a. What is the average waiting time in line?
b. What is the average time in the system?

Question

A waiting-line problem that cannot be modelled by standard distributions has been simulated. The table below shows the result of a Monte Carlo simulation. (Assume that the simulation began at 8:00 a.m. and there is only one server.
 $$\begin{array} { | c | c | c | c | } 
\hline \text { Customer Number } & \text { Arrival Time } & \text { Service Time } & \text { Service Ends } \
\hline 1 & 8 : 06 & 2 & 8 : 08 \
\hline 2 & 8 : 07 & 10 & 8 : 18 \
\hline 3 & 8 : 12 & 10 & 8 : 28 \
\hline 4 & 8 : 24 & 11 & 8 : 39 \
\hline 5 & 8 : 30 & 5 & 8 : 44 \
\hline
\end{array}$$ a. What is the average waiting time in line?
b. What is the average time in the system?

Quizplus · Accepted Answer

The Answer of A waiting-line problem that cannot be modelled by standard distributions has been simulated. The table below shows the result of a Monte Carlo simulation. (Assume that the simulation began at 8:00 a.m. and there is only one server.
 $$\begin{array} { | c | c | c | c | } 
\hline \text { Customer Number } & \text { Arrival Time } & \text { Service Time } & \text { Service Ends } \
\hline 1 & 8 : 06 & 2 & 8 : 08 \
\hline 2 & 8 : 07 & 10 & 8 : 18 \
\hline 3 & 8 : 12 & 10 & 8 : 28 \
\hline 4 & 8 : 24 & 11 & 8 : 39 \
\hline 5 & 8 : 30 & 5 & 8 : 44 \
\hline
\end{array}$$ a. What is the average waiting time in line?
b. What is the average time in the system?

A Waiting-Line Problem That Cannot Be Modelled by Standard Distributions