Arena Process Simulation

Create the models for the scenario.

Create and run the simulation for three replications of three days. The factory operates 8 hours per day.

Problem 1 The factory produces two types of toys, airplane and taxi. An airplane toy arrives according to an exponential distribution with interarrival-time mean 5 minutes. A taxi toy arrives according to an exponential distribution with interarrival-time mean 8 minutes. Both toys go to the preparation process. An airplane has the processing time follows a triangular distribution with minimum 2, mode 3, and maximum 5 minutes. A taxi has the processing time follows a triangular distribution with minimum 4, mode 5, and maximum 8 minutes. The preparation process has two operators (prep workers) working on 1 part at a time. After that, a toy is sent to the painting process with the processing time of exponential distribution with mean 2.5 minutes with one painting machine. After the painting machine has painted 100 toys, it must be shut down for cleaning, which lasts TRIA(5,7,10) minutes. During this time, the toys in the queue for the painting machine wait for it to become available. After the painting process, toys are sent to inspection process. There are three inspectors. An inspector seizes one toys at a time to inspect. The inspection time is uniformly distributed with minimum of 4 minutes and maximum of 6 minutes. Only 95% of the airplane toys pass the inspection and 85% of the taxi toys pass the inspection. The rejected toys are sent out as dispose rejected toys. The pass toys are sent out as completed toys. Create and run your simulation for three replications of three days. The factory operates 8 hours per day. o Save your Arena file 1. Capture the complete model flow from Arena Use the results from the model and report to answer the following questions. 2. What is the average cycle time for airplane and taxi toys? 3. How many completed toys? 4. How many rejected toys? 5. How many airplane toys pass and fail the inspection? 6. How many taxi toys pass and fail the inspection? 7. Average waiting time at each process 8. Average number waiting at each process 9. Resource utilization Problem 1 The factory produces two types of toys, airplane and taxi. An airplane toy arrives according to an exponential distribution with interarrival-time mean 5 minutes. A taxi toy arrives according to an exponential distribution with interarrival-time mean 8 minutes. Both toys go to the preparation process. An airplane has the processing time follows a triangular distribution with minimum 2, mode 3, and maximum 5 minutes. A taxi has the processing time follows a triangular distribution with minimum 4, mode 5, and maximum 8 minutes. The preparation process has two operators (prep workers) working on 1 part at a time. After that, a toy is sent to the painting process with the processing time of exponential distribution with mean 2.5 minutes with one painting machine. After the painting machine has painted 100 toys, it must be shut down for cleaning, which lasts TRIA(5,7,10) minutes. During this time, the toys in the queue for the painting machine wait for it to become available. After the painting process, toys are sent to inspection process. There are three inspectors. An inspector seizes one toys at a time to inspect. The inspection time is uniformly distributed with minimum of 4 minutes and maximum of 6 minutes. Only 95% of the airplane toys pass the inspection and 85% of the taxi toys pass the inspection. The rejected toys are sent out as dispose rejected toys. The pass toys are sent out as completed toys. Create and run your simulation for three replications of three days. The factory operates 8 hours per day. o Save your Arena file 1. Capture the complete model flow from Arena Use the results from the model and report to answer the following questions. 2. What is the average cycle time for airplane and taxi toys? 3. How many completed toys? 4. How many rejected toys? 5. How many airplane toys pass and fail the inspection? 6. How many taxi toys pass and fail the inspection? 7. Average waiting time at each process 8. Average number waiting at each process 9. Resource utilization