1) SIMPLE PRODUCTION SYSTEM a. CURRENT SYSTEM A production system consists of four serial automatic workstations as illustrated in Figure a1. The first part arrives at time zero, and then (exactly) every 9.8 minutes thereafter. All transfer timesare assumed to be zero and all processing times are constant. There are two types offailures: major and jams. The data for this system are given in the table 1 (all times arein minutes). Use exponential distributions for the uptimes and uniform distributionsfor repair times (for instance, repairing jams at workstation 3 is Uniform (2.8, 4.2)). Run your simulation for a single replication of 10,000 minutes to determine the percent oftime each resource spends in the failure state and the ending status of each workstationqueue. Animate your Resources, and put a text box in your Arena file with the numericalresults requested. Figure a1 Workstation number Process Time Major Failure Means Uptimes\Repair Jam Means Uptimes\Repair 1 8.5 475\(20,30) 47.6\(2,3) 2 8.3 570\(24,36) 57\(2.4,3.6) 3 8.6 665\(28,42) 66.5\(2.8,4.2) 4 8.6 475\(20,30) 47.5\(2,3) Table 1: Uptime\Repair Time Distribution Parameters b. Modifications on the System The company wants to modify the system and try different configurations for workstations and they provided you the formations in table 2. Also, you can find an illustration of configuration 1 in Figure b1. Try all the configurations for a single replication of 10,000 minutes to determine the percent oftime each resource spends in the failure state and the ending status of each workstationqueue. Comment about the differences between original setup in terms of measures provided. Figure b1 WS number Number of Machines in Configuration 1 Number of Machines in Configuration 2 Number of Machines in Configuration 3 Number of Machines in Configuration 4 Number of Machines in Configuration 5 Number of Machines in Configuration 6 1 2 1 2 1 2 1 2 1 1 2 2 1 2 3 2 2 1 1 1 2 4 1 2 1 2 2 1