Kits of ceiling fans arrive at an assembly system with TRIA (2, 5, 10) interarrival times (all times are in minutes). There are four assembly locations and one operator at each location, and the kits are automatically sent to the first available operator for assembly. The fan assembly time is operator-dependent as given. Operator Assembly Time Operator Number Assembly Time 1 TRIA(15, 18, 21) 2 TRIA(16, 19, 22) 3 4 TRIA(16, 20, 24) TRIA(17, 20, 23) Upon completion of the assembly process, the fans are inspected with approximately 7% being found defective. A defective fan is sent back for repair to the same operator who assembled it. These defective fans have higher priority over in coming kits. Since the fan needs to be disassembled and then reassembled, the repair time is assumed to be 30% greater than the normal assembly time. A. Run your model for 20,000 minutes and collect and report statistics on operator utilization and the time in system. B. Suppose you could hire one more person and that person could be a second (identical) operator at any of the four locations (the service time for this person depends on the location she is working). Which one should it be? Use PAN with 50 replications per scenario and select the best in terms of lowest average time in system. Why do you think the operator should work on that location?