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Customers arrive to chipotle with an exponentially distributed interarrival time of 2 minutes. The number of customers who arrive at a time follows a uniform

Customers arrive to chipotle with an exponentially distributed interarrival time of 2 minutes.
The number of customers who arrive at a time follows a uniform distribution with a minimum of
1 and maximumm of 4.(Hint: You will need to put a distribution function in the cell for Entities
per Arrival in your Create module.)
After they arrive, they enter a queue for the Order Server who is responible for taking their
order and beginning to prepare the food. The Order Server adds the base and meats to each
order. This process takes an exponentially distributed .9 minutes to complete.
After ordering their food, the customer moves on to the Toppings Server who puts the salsas
and other toppings on their order(s) and finishes preparing the food. This activity takes
triangular distribution with a minimum of 0.4, model of 0.6, and maximum of 1 minutes to
complete.
The final step in the process is for the customer to check-out and pay for their food. A Cashier is
available for this task that takes a uniformly distributed 0.5 to 1 minutes to complete.
The store is open for 12 hours per day. Create a simulation model for this system and run 50
replications of the model. Make the base time units minutes. Answer the questions below.
a. Fill in the following table:
Measure Average Halfwidth Maximum
Average
Maximum
Value
Customers Served
Time in the System
Waiting Time
Order Server Utilization
Topping Server Utilization
Cashier Utilization
b. If you could add 1 more resource to the system, which of the 3 processes would you add
them?
c. Were there out output statistics or results that might seem unrealistic from the original
model?

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