Two types of jobs (regular and high priority) arrive at two identical assembly machines. Regular jobs...
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Two types of jobs (regular and high priority) arrive at two identical assembly machines. Regular jobs arrive according to an exponential distribution with a mean interarrival time of 10 minutes. High priority jobs arrive according to an exponential distribution with a mean interarrival time of 20 minutes. One of two machines is selected by turn. Processing either entity is uniformly U(8,2) minutes. Upon completion, jobs are sent to a third machine where they wait for final assembly, which requires 5 minutes normally distributed with a standard deviation of 2 minutes. Jobs are selected from the waiting line for assembly based on the estimated assembly time (jobs with shorter assembly times having a high priority over jobs with longer assembly times). Completed jobs are promptly shipped to the customer. The final assembly machine is unreliable. It fails at intervals that may be described by an exponential distribution with a mean of 60 minutes. Repair time is uniformly distributed over the range 10 to 20 minutes. The high priority jobs have higher priority over regular jobs in terms of processing on the three assembly machines. The processing times are identical for both types of jobs. Simulate for 2,000 hours and determine: a) Utilization of the three machines. b) Average time in the shop for both types (average and max values). c) Average number of jobs (regular and high priority) processed per hour. Hints: • • Use the units in the locations table for the identical assembly machines Use Rules in location table to set by Turn. Location Table - set attribute to lowest assembly time for all queues • You will need separate queues for regular and high priority parts • Location table clock down time - first time set to "0" • You will need to use attributes. (3 of them) Two types of jobs (regular and high priority) arrive at two identical assembly machines. Regular jobs arrive according to an exponential distribution with a mean interarrival time of 10 minutes. High priority jobs arrive according to an exponential distribution with a mean interarrival time of 20 minutes. One of two machines is selected by turn. Processing either entity is uniformly U(8,2) minutes. Upon completion, jobs are sent to a third machine where they wait for final assembly, which requires 5 minutes normally distributed with a standard deviation of 2 minutes. Jobs are selected from the waiting line for assembly based on the estimated assembly time (jobs with shorter assembly times having a high priority over jobs with longer assembly times). Completed jobs are promptly shipped to the customer. The final assembly machine is unreliable. It fails at intervals that may be described by an exponential distribution with a mean of 60 minutes. Repair time is uniformly distributed over the range 10 to 20 minutes. The high priority jobs have higher priority over regular jobs in terms of processing on the three assembly machines. The processing times are identical for both types of jobs. Simulate for 2,000 hours and determine: a) Utilization of the three machines. b) Average time in the shop for both types (average and max values). c) Average number of jobs (regular and high priority) processed per hour. Hints: • • Use the units in the locations table for the identical assembly machines Use Rules in location table to set by Turn. Location Table - set attribute to lowest assembly time for all queues • You will need separate queues for regular and high priority parts • Location table clock down time - first time set to "0" • You will need to use attributes. (3 of them)
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a Utilization of the three machines The utilization of the three machines can be calculated by dividing the total time spent processing jobs by the total number of hours simulated For the two identica... View the full answer
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