What type of distribution are you proposing to use in your CREATE module
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What type of distribution are you proposing to use in your CREATE module

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I'd like you to review the subject of queues as you begin to develop project ideas. Consider this from your readings or prior discussion questions as well. For example, M/M/1 for example (on the left), is a basic queueing process where we have an arrival, queue processed in a single server (1), and its departure. You can see the image on the below where we have more servers (3) to accept arrivals. How many will you have? Our interest here is server utilization. (I'm sure you realize this but we aren't talking about a computer "server").


Also, think about the random arrivals in our theme parks with waiting times for customers, and waiting times for the servers. As you begin to use Arena more this week you will also become more familiar with queueing. For this discussion question, I would like you to outline in paragraphs the likely queues in your system based on your proposed simulation model.

1. What type of distribution are you proposing to use in your CREATE module?

2. How many entities per arrival are you assuming based on data or real-world insight?

3. What types of PROCESS modules will you enumerate in your model?

4. What Actions and Delay types in the PROCESS modules are you thinking of using in Arena?

5. How are these affected by the random arrivals, the likely queues you are likely to encounter, and how you could optimize your server utilization before its departure.

Hint
Management The queueing theory is an important theory in business. It is defined as the study of waiting in lines. It is important in business as it enables you to examine some processes in the business. These processes include the arrival process, the service process, the number of customers, and the number of servers that are in place. This then enables the business owners to make informed ...

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