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Notify me of new posts via email. Get me outta here! Customer places the order — After completing the wait in queue, the customers reach the cash counter and places the order.
Here is the dialog box of the Process module for Cash counter. If the product is not available, the customer leaves the system else he continues further in the process.
Here is the dialog box — 4. Customer waits in queue for food item The customers who opted for Food items wait in queue of the food items customers before they are served the food items.
Here is the dialog box of the Process module for Food item. Here is the dialog box — Here is the dialog box — 6. Here are the dialog boxes of the Process modules for Beverage Servers — After the customers are served, they pass through a record module where the number of customers for each type are counted.
Then they pass through another record module where the total time of the customer in the system is noted. Here are the dialog boxes for each of the modules — Customer leaves the system A Dispose module is placed at the end of the model where all the entities depart from.
The entities have to go into the dispose module when their role in the model is over. Here is the dialog box for it — The entities that were created at the beginning of the model were disposed off in the above module.
Apart from these steps, another important feature of this model are the Resources and the Queues as mentioned earlier. Resources As given in the table earlier, there are 4 resources in the model.
Each resource has its own service time which was fitted by the distributions. Here is a table of the resources — 1. Resource 4 Cold Beverage Server Seize Delay Release Arena has a display of all the resources in the resource module where all the information about the resources is displayed.
Here is a snapshot of the resource information — Queues — There are 3 queues in the model. We will analyze the waiting time in each queue after we run the model.
Here is a snapshot of the queue information from Arena — The model prepared here was run for 3 hours and 30 replications were made to consider variabilities.
Here is a snapshot of the Run dialog box — The entities were given an animation of persons so the entities could actually be seen when the model is in run mode.
The category overview has a pre-defined KPI as the Number out. This gives the number of entities which successfully left the system. For the Starbucks model, which was run for a replication length of 3 hours, the Number Out value was , for 30 replications.
Arena gives a detailed output with Average value, Minimum, Maximum, Half width etc. In Starbucks model, the main output is the Total time in system, the wait time and the service time.
It also gives the number of entities in and out of the system. Here is the output from Arena — The average waiting time for a customer is 3.
This makes the average total time spent by a customer in the system to be 4. We want to reduce this quantity in order to increase the efficiency of the Starbucks system.
We will observe the results for the maximum waiting time and this is where we need to bring some changes to reduce the waiting time of that particular queue.
Here is the output for queue — It can be seen that the waiting time is maximum, 2. This gives the utilization of all the resources in the Model.
Here is the output — It can be observed that the Cash Counter and Hot Beverage Resource is used up for a maximum time while the utilization of other two resources is very less comparatively.
By User Specified Arena specially gives an output for any other user specified attribute. In this model, we specified the Average Customer Time and it is recorded to be 4.
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