The Burger Dome waiting line model in Section 11.1 studies the waiting time of customers at its
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a. Use an Excel worksheet based on Figure 12.15 to simulate the operation of this waiting line. Assuming that customer arrivals follow a Poisson probability distribution, the interarrival times can be simulated with the cell formula - (1/λ)*LN(RAND()), where λ = 0.75. Assuming that the service time follows an exponential probability distribution, the service times can be simulated with the cell formula - m*LN(RAND()), where μ = 1. Run the Burger Dome simulation for 1000 customers. Discard the first 100 customers and collect data over the next 900 customers. The analytical model in Chapter 15 indicates an average waiting time of 3 minutes per customer. What average waiting time does your simulation model show?
b. One advantage of using simulation is that a simulation model can be altered easily to reflect other assumptions about the uncertain inputs. Assume that the service time is more accurately described by a normal probability distribution with a mean of 1 minute and a standard deviation of 0.2 minutes. This distribution has less service time variability than the exponential probability distribution used in part (a). What is the impact of this change on the average waiting time?
Figure 12.15
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Related Book For
Quantitative Methods For Business
ISBN: 272
12th Edition
Authors: David Anderson, Dennis Sweeney, Thomas Williams, Jeffrey Cam
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