Simulation with arena
please, I need the answer in way step by step.
Task 1.2 In the system that you have modeled in the preceding task it is intended to find out which is the best policy for the queue in front of the processing machine. The managers intend to determine which alternative among the ones below is the best one in order to minimize the flow time (time in the system, both average and maximum). Change the model run length to 720 minutes and run the model for 5 replications. To make model run for 5 replications choose menu Run Setup/Replication Parameters and change Number of Replications. Use "Category Overview" report that gives you the result averages across all replications. Create a similar table as on previous page for writing down your results for different experiments. The different policies proposed for the queue in front of the machine are: 1. First In First Out (entities go to the process in the same order as they arrived to the queue) 2. Last In First Out (entities that come last into the queue have priority, they are first to be processed) Shortest processing time first (the entities that require the shortest production time go first to the process) 4. Longest processing time first (the entities that require the longest processing time go first to the process) For accomplishing this task (mainly for trying the two last alternatives), attributes carrying the production time must be assigned to the entities in order to make it possible to decide which entity goes first into the process. In order to do this you can follow the following guidelines: Disconnect Create and Process modules. Place the "Assign" module between Create and Process modules and connect all of them again. Add one assignment in the Assign module) as follows: Assignment type Select "Attribute" Attribute: Processing time Value: TRIA(1,3,6) So far, you have assigned an attribute to the entities that enter the system. This attribute carries the time necessary to process them. Now you have to make the necessary changes in the Process module in order to set the processing time by means of this attribute. In order to accomplish this open the Process module and enter the following data (Note that the Expression field will now contain the name of the newly created attribute; make sure you type in the attribute name correctly): Delay Type: select Expression Expression: Processing time The policy adopted in the queue of parts waiting for being processed can be defined within the queue data module. In order to declare which alternative to use in each simulation run open the queue data in spreadsheet view, and change the Type for each of the 4 alternatives. Do not forget to specify the attribute name (Processing time) in last two of the queue disciplines, otherwise the queue will not be sorted and you will get the same results as in FIFO. Save your model for alternative 1, 2, 3 and 4 separately with filenames teamxx_taski_27.doe (where XX is your team number and Y is the alternative). Run your model for all 4 alternatives and compare the results. Write down your results. Write down your conclusions about comparing different queue disciplines. Task 1.2 In the system that you have modeled in the preceding task it is intended to find out which is the best policy for the queue in front of the processing machine. The managers intend to determine which alternative among the ones below is the best one in order to minimize the flow time (time in the system, both average and maximum). Change the model run length to 720 minutes and run the model for 5 replications. To make model run for 5 replications choose menu Run Setup/Replication Parameters and change Number of Replications. Use "Category Overview" report that gives you the result averages across all replications. Create a similar table as on previous page for writing down your results for different experiments. The different policies proposed for the queue in front of the machine are: 1. First In First Out (entities go to the process in the same order as they arrived to the queue) 2. Last In First Out (entities that come last into the queue have priority, they are first to be processed) Shortest processing time first (the entities that require the shortest production time go first to the process) 4. Longest processing time first (the entities that require the longest processing time go first to the process) For accomplishing this task (mainly for trying the two last alternatives), attributes carrying the production time must be assigned to the entities in order to make it possible to decide which entity goes first into the process. In order to do this you can follow the following guidelines: Disconnect Create and Process modules. Place the "Assign" module between Create and Process modules and connect all of them again. Add one assignment in the Assign module) as follows: Assignment type Select "Attribute" Attribute: Processing time Value: TRIA(1,3,6) So far, you have assigned an attribute to the entities that enter the system. This attribute carries the time necessary to process them. Now you have to make the necessary changes in the Process module in order to set the processing time by means of this attribute. In order to accomplish this open the Process module and enter the following data (Note that the Expression field will now contain the name of the newly created attribute; make sure you type in the attribute name correctly): Delay Type: select Expression Expression: Processing time The policy adopted in the queue of parts waiting for being processed can be defined within the queue data module. In order to declare which alternative to use in each simulation run open the queue data in spreadsheet view, and change the Type for each of the 4 alternatives. Do not forget to specify the attribute name (Processing time) in last two of the queue disciplines, otherwise the queue will not be sorted and you will get the same results as in FIFO. Save your model for alternative 1, 2, 3 and 4 separately with filenames teamxx_taski_27.doe (where XX is your team number and Y is the alternative). Run your model for all 4 alternatives and compare the results. Write down your results. Write down your conclusions about comparing different queue disciplines
