Question: Please answer the following question with regards to ARENA Software. In your answer, include all the necessary stages of entering data into ARENA modules, stating
Please answer the following question with regards to ARENA Software. In your answer, include all the necessary stages of entering data into ARENA modules, stating module names and their properties and if possible, share the stages as images of what you would have entered in your answer to help me understand better:
Question 2
Consider a small pharmacy that has a single line for waiting customers and only one pharmacist. Assume that customers arrive at a drive-through pharmacy window according to a Poisson distribution with a mean of 10 per hour. The time that it takes the pharmacist to serve the customer is random and data has indicated that the time is well modelled with an exponential distribution with a mean of 3 minutes. Customers who arrive to the pharmacy are served in the order of arrival and enough space is available within the parking area of the adjacent grocery store to accommodate any waiting customers. The drive-through pharmacy system can be conceptualized as a single server waiting line system, where the server is the pharmacist. If the pharmacist is busy serving a customer, then additional customers will wait in line but assume that if there are 4 or more customers in queue when a customer arrives they decide to go to another pharmacy. In such a situation, management might be interested in how long customers wait in line, before being served by the pharmacist, how many customers balk and management might want to predict if the number of waiting cars will be large. Finally, they might want to estimate the utilization of the pharmacist in order to ensure that he or she is not too busy.

Consider a small pharmacy that has a single line for waiting customers and only one pharmacist. Assume that customers arrive at a drive-through pharmacy window according to a Poisson distribution with a mean of 10 per hour. The time that it takes the pharmacist to serve the customer is random and data has indicated that the time is well modelled with an exponential distribution with a mean of 3 minutes. Customers who arrive to the pharmacy are served in the order of arrival and enough space is available within the parking area of the adjacent grocery store to accommodate any waiting customers. The drive-through pharmacy system can be conceptualized as a single server waiting line system, where the server is the pharmacist. If the pharmacist is busy serving a customer, then additional customers will wait in line but assume that if there are 4 or more customers in queue when a customer arrives they decide to go to another pharmacy. In such a situation, management might be interested in how long customers wait in line, hefore heing served by the pharmacist, how many customers balk and management might want to predict if the number of waiting cars will be large. Finally, they might want to estimate the utilization of the pharmacist in order to ensure that he or she is not too busy
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