Exponential Distribution - Runway And Terminals - Arena Simulation Assignment Help

Internal Code : 2AFCE

Arena Simulation Assignment Help

Task : Aircrafts arrive at an airport according to an exponential distribution of time between arrivals with ? =40 minutes. Upon arrival, planes wait in the air for a signal from the control tower before they are able to land. The airport has two runways, one for landing and the other for taking off. The time it takes for an aircraft to clear the runway follows a Triangular distribution of TRIA (1, 3, 5) minutes. The taxi time between the runways and the terminal gates follows an Exponential distribution of ? = 10minutes. The delay for unloading the aircraft from passengers and luggage follows an Exponential distribution of ? = 15 minutes. From the total of all arriving flights to the airport, Terminals 1 takes 20%, Terminal 2 takes 30%, and Terminals 3 and 4 each take 25%. Each terminal has a capacity of five (i.e. 5 gates). Aircraft departures also follow the Exponential distribution of ? =35 minutes. The ratio of aircraft departure from each terminal is the same as arrivals (i.e. T1: 20%, T2: 30%, T3: 25%, and T4: 25%). The loading time for all departing aircrafts at each terminal follows an Exponential distribution with ? = 35 minutes. The runway maintenance team has to check for external objects on the runways they therefore conduct routine manual inspections on each Runway. Due to safety guidelines both runways are closed during the detection. The inspection and cleaning process takes place every 5.5 hours and follows a Normal distribution with mean of (?=15) and standard deviation of ? =3. The Meantime between failures follows the wait rule. In this example ignore passenger check-ins etc. 1.Develop a simulation model with appropriate animations of the airport operation system focusing on the use of the runways. Simulate the airport operation for 5, 48hr replications. 2.On average, what percentage of the time are the runways in the idle or busy state? 3. Discuss the Utilisation of each Runway and Terminals on daily basis during the simulation run. 4. Display the WIP for arriving planes, departing planes and the total WIP on one plot over a simulated time of 60hrs (for each simulation run). Do not initialize the statistics between your simulation runs. You can initialize the system at each run. 5. Assuming the Level of Sound Exposure from each aircraft is given by a triangular distribution with values 50, 60 and 100 decibels, display on a plot, over a simulated time of 60hrs, the total number of aircrafts in process that have a sound level above a specified threshold of 80 decibels. [Hint: You need to look at the WIP, also assign sound levels to airplanes when they are created] 6. Write a report that explains your modelling approach and process, explaining how key concepts such as waiting for signal from the control tower were modelled. 7. Discuss the results of your simulation with regard to key performance factors: runway and terminal utilisation, WIP, noise pollution, waiting times and queues both in the air and on the ground to access terminals. 8. Offer suggestions of how to improve the performance of this report with respect to the key performance indicators: runway and terminal utilisation, WIP, noise pollution, waiting times and queues both in the air and on the ground to access terminals. Your suggestions should be simulated and results compared to the original model. 9. The airport management wishes to double the number of aircraft that arrive and depart from the airport. Offer suggestions on how this could be possible with respect to maintaining or minimising the emission levels. Discuss your various suggestions by creating simulation models and comparing the results with one another. Use Run conditions defined as: Warm-up Period = 12 hours, Replication Length = 72 hours and Number of Replication = 5. The system requires initialisation between replications but statistics should not be initialised.