need help with the bottom question A

A: Consider an office where people come to get their drivers' licenses. The process involves three steps for arriving applicants --- reception; a vision exam; and a written exam. Assume that applicants' arrivals are Poisson with a rate of 6 per hour(ie, inter arrival times are exponentially distributed with mean 10 minutes). The processing time distributions for the three processes are given in Table I below. The office has one person responsible for reception and one person responsible for administering the vision exams. The written exam is computer-based and there are three computer stations where applicants can take the exam Develop a Simio model of this system. Assume that the office opens at 9:00a.m. and closes at 5:00 p.m., use Path to link objects (instead of Connectors) and the distance between objects are 10 meters long (set drawn to scale false). The performance metrics of interest include the time in minutes) that applicants spend in the system, the utilizations of both office employees and the computer stations, and the average and maximum numbers of applicants in the reception queue, the vision exam queuc, and the written exam queue for 1000 replications (highlight these results). Table 1: Processing time parameters Process Processing time distribution I Reception triangular (5, 8, 11) Vision exam triangular (2, 4, 6) Written exam triangular (15, 15, 20) a. In general, how many replications should be run for an experiment in order to be confident about the simulation results? How do you make the decision, discuss your answer. For example, is 1000 replications above is good enough? Why or why not