Reference no: EM131669184
Question: One advantage of simulation is that a simulation model can be altered easily to reflect a change in the assumptions. Refer to the Burger Dome analysis in Problem. Assume that the service time is more accurately described by a normal distribution with a mean of 1 minute and a standard deviation of 0.2 minute. This distribution has less variability than the exponential distribution originally used. What is the impact of this change on the output measures?
Problem: Burger Dome is a fast-food restaurant currently appraising its customer service. In its current operation, an employee takes a customer's order, tabulates the cost, receives payment from the customer, and then fills the order. Once the customer's order is filled, the employee takes the order of the next customer waiting for service. Assume that time between each customer's arrival is an exponential random variable with a mean of 1.35 minutes. Assume that the time for the employee to complete the customer's service is an exponential random variable with mean of 1 minute. Use the Burgerdome file to complete a simulation model for the waiting line at Burger Dome for a 14-hour workday. Note that you will need to use native Excel functionality to solve this problem because the educational version of ASP has a limit of 100 random variables. Recall the formula 5LN(RAND())*(-m) generates a value for an exponential random variable with mean m. Using the summary statistics gathered at the bottom of the spreadsheet model, answer the following questions.
a. What is the average wait time experienced by a customer?
b. What is the longest wait time experienced by a customer?
c. What is the probability that a customer waits more than 2 minutes?
d. Create a histogram depicting the wait time distribution.
e. By pressing the F9 key to generate a new set of simulation trials, one can observe the variability in the summary statistics from simulation to simulation. Typically, this variability can be reduced by increasing the number of trials. Why is this approach not appropriate for this problem?
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