Georgia Institute Of TechnologyISYE 6501hw6.+A GRADED

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Question 13.2 In this problem you can simulate a simplified airport security system at a busy airport. Passengers arrive according to a Poisson distribution with λ1 = 5 per minute (i.e., mean inter... arrival rate µ1 = 0.2 minutes) to the ID/boarding-pass check queue, where there are several servers who each have exponential service time with mean rate µ2 = 0.75 minutes. [Hint: model them as one block that has more than one resource.] After that, the passengers are assigned to the shortest of the several personal-check queues, where they go through the personal scanner (time is uniformly distributed between 0.5 minutes and 1 minute). Use the Arena software (PC users) or Python with SimPy (PC or Mac users) to build a simulation of the system, and then vary the number of ID/boarding-pass checkers and personal-check queues to determine how many are needed to keep average wait times below 15 minutes. [If you’re using SimPy, or if you have access to a non-student version of Arena, you can use λ1 = 50 to simulate a busier airport.] Answer 13.2 I created the simulation using ARENA software. (ARENA file - week6_13.2.doe) 1. Use the Basic Process -> Create block to simulate passenger arriving to airport security system. 2. Use Process block for ID/boarding pass check queue. Set the inter arrival rate of 0.2minutes. 3. Use the resource spreadsheet to add resources. [Show More]

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