Need the answer in ARENA Simulation Model with this problem. Pleaseee I'm begging youuu.

Based on the information obtained by a senior librarian at the library of Cyber Putra College, a student arrives at the library with minimum 10 minutes and maximum 45 minutes (all times in this problem are in minutes). From the information, as a modeller, you are needed to use the Input Analyzer to generate a new data file containing 500 points. Use an appropriate distribution with the given values as the parameters to generate a new data file for interarrival time. Once you have the data file, perform a Fit All to find the "best" fit from among the available distributions (hint: typically using an exponential distribution as interarrival time). Upon arrival, they are initially screened by biometric access control flap barriers following a uniform distribution between 0.05 and 0.1 for identity identification and security protection. Two control barriers are provided. The barrier with the shortest queue will be selected by the students. The student can then choose three types of facilities provided by the library. The collected data showed that 10% of the students firstly travel to the help desk counter, 50% travel to return/lend material counters while the others travel to the upstairs to find and/or read relevant library materials. At the help desk counter, two help desk representatives are available for providing help and advice to the students on various kinds of library information and services. However, the students are required to wait in a single queue until one of the representatives is available to serve them. The consultation process typically follows a triangular distribution with minimum 4 , mode 6 and maximum 7. Upon completion, 30% of them directly exit the library, 20% travel to the return/lend material counters while the other travel to the upstairs. At the return/lend material counters, two assistant librarians are assigned to collect/lend library materials. The students choose the shortest queue of the two available queues. The collecting/lending process follows a triangular distribution with minimum 3, mode 5 and maximum 6. Upon finishing, 25% of the student directly exit the library while the others continue to travel to the upstairs. At the upstairs, two section are provided. The first section locates spaces and rooms for reading and discussion activities. The data showed that 60% of the student directly travel to this section and spend on the activities following a uniform distribution between 60 and 180 . They then directly exit the system. The other students meanwhile travel to the second section locating racks of various books and other reading materials. The students spend time when traveling in this section following a 95 plus WEIB (7.8,4.0). After finding relevant materials, 70% of them then travel to the first section while the others travel to the return/lend material counters before exiting the system. You are also required to consider resource schedule (with break time) in all the resources involved in this case study. The resources are classified into normal shift (8am- 5pm), day shift (8am 3:30pm) and night shift (3pm-10pm). Run the simulation for five replications of five days where hours per day operations in 14 hours. Discuss the relevant performance measures. Do the full animation, including a Resource animation and layout, and a change in the appearance of entities (if related). Develop an Arena simulation model for this system. Based on the information obtained by a senior librarian at the library of Cyber Putra College, a student arrives at the library with minimum 10 minutes and maximum 45 minutes (all times in this problem are in minutes). From the information, as a modeller, you are needed to use the Input Analyzer to generate a new data file containing 500 points. Use an appropriate distribution with the given values as the parameters to generate a new data file for interarrival time. Once you have the data file, perform a Fit All to find the "best" fit from among the available distributions (hint: typically using an exponential distribution as interarrival time). Upon arrival, they are initially screened by biometric access control flap barriers following a uniform distribution between 0.05 and 0.1 for identity identification and security protection. Two control barriers are provided. The barrier with the shortest queue will be selected by the students. The student can then choose three types of facilities provided by the library. The collected data showed that 10% of the students firstly travel to the help desk counter, 50% travel to return/lend material counters while the others travel to the upstairs to find and/or read relevant library materials. At the help desk counter, two help desk representatives are available for providing help and advice to the students on various kinds of library information and services. However, the students are required to wait in a single queue until one of the representatives is available to serve them. The consultation process typically follows a triangular distribution with minimum 4 , mode 6 and maximum 7. Upon completion, 30% of them directly exit the library, 20% travel to the return/lend material counters while the other travel to the upstairs. At the return/lend material counters, two assistant librarians are assigned to collect/lend library materials. The students choose the shortest queue of the two available queues. The collecting/lending process follows a triangular distribution with minimum 3, mode 5 and maximum 6. Upon finishing, 25% of the student directly exit the library while the others continue to travel to the upstairs. At the upstairs, two section are provided. The first section locates spaces and rooms for reading and discussion activities. The data showed that 60% of the student directly travel to this section and spend on the activities following a uniform distribution between 60 and 180 . They then directly exit the system. The other students meanwhile travel to the second section locating racks of various books and other reading materials. The students spend time when traveling in this section following a 95 plus WEIB (7.8,4.0). After finding relevant materials, 70% of them then travel to the first section while the others travel to the return/lend material counters before exiting the system. You are also required to consider resource schedule (with break time) in all the resources involved in this case study. The resources are classified into normal shift (8am- 5pm), day shift (8am 3:30pm) and night shift (3pm-10pm). Run the simulation for five replications of five days where hours per day operations in 14 hours. Discuss the relevant performance measures. Do the full animation, including a Resource animation and layout, and a change in the appearance of entities (if related). Develop an Arena simulation model for this system