this is a project in simulation material

Project 1 - 10 Marks Section 1: Manufacturing System with Inspection You will be modeling the following multi-stage manufacturing system: Rework Arrivals Good Bad N Description Parameter Processing times at each Min station follow a triangular Mode distribution with the given parameters (in minutes) Max S 1 2 3 S 2 4 5 Station S 0.25 0.50 0.75 SU 1 2 Ss 0.25 0.35 1.00 A single part type is produced in this system. Raw material arrives to Station 1 at a rate of 50 per hour, with a Poisson arrival process. Routing through the system for producing the part uses the sequence S. Sand S. All parts go through the inspection station (represented as 1 above). The inspection station has a processing time following a triangular distribution with parameters (0.25, 0.30, 0.5) in minutes if a part does not pass inspection, then it will be sent to Station 2 followed by Station 4 for rework. Following processing at Station 4, I will immediately go back to inspection. If the reworked part does not pass inspection after one time rework, then it will be classified as a bad part, Parts that pass inspection will be classified as good parts. Use a fixed probability of 80% that a part will pass inspection Historical records show that S, fais after about 8 hours of uptime and that time required to repair that machine after it fails is approximately 15 minutes. As both the uptime and repair durations are highly variable, assume that both are exponentially distributed 1 Assume Stations 2-5 and inspection have a capacity of one (1). Use a reference property to represent the capacity of Station 1 When completing this assignment, incorporate the following functionality in your model a Parts (entities should move from machine to machine instantaneously (zero simulated time) Create a user-defined statistic that tracks the number of reworks in the system (entities that go through the process in station 2. at least once) c. Use an add-on process to incorporate the inspection process logic d Incorporate a status label to represent the number of Good Parts produced, and another to represent the number of reworks in the system. e. When an entity goes to station2 change its color to red. Section 2: Experiment Conditions Create and run an experiment with the following conditions: a) Run length: 14 hours b) Warm-up period: 2 hours c) Replications: 25 d) Evaluate scenarios with Station 1 capacities: 3, and 5 Section 3: Experiment Responses Create experimental responses for the following: a) Average number of parts in the system b) Average number of parts in queue for S. c) The utilization of S, d) The rate that good parts are finished (in parts/hour) e) Average number of reworks in the system Section 4: Assignments 1. Provide a complete Simio model with all the aspects described above. 2. Describe what you would take into consideration, from the Simio model, when determining the appropriate capacity for S. All of the files should be zipped together and submitted via elearning. Make sure that you all submit the exact same zip file and indicate the name of your partner as a comment