In-Class Portion of Final Exam

INTRODUCTION
The exam is from 6:00 pm to 9:15 pm. Answer both questions. Total of 50 points. This is an open book, open notes, and an open computer exam. This is an individual exam. No collaboration of any kind is permitted. No network connections until you post your answer files to Blackboard when you are done with the exam. Check with the instructor to see that the zip file is posted correctly. After this, you may leave the exam room.
QUESTIONS: If you have any questions during the exam – ask your instructor.

DIRECTIONS – READ THIS FIRST INTRODUCTION
The exam is from 6:00 pm to 9:15 pm. Answer both questions. Total of 50 points. This is an open book, open notes, and an open computer exam. This is an individual exam. No collaboration of any kind is permitted. No network connections until you post your answer files to Blackboard when you are done with the exam. You are on the honor system. You have your instructor’s implicit trust. But, you must still hear the consequences of any cheating: immediate failure of the course and a report to the School of Business Dean for possible expulsion from the university.
DELIVERY OF ANSWER FILES
QUESTIONS: If you have any questions during the exam – ask your instructor. Question #1 Airport Terminal Arena model (25 points total).
PART I: BASE MODEL (10 points). Management wants to study Terminal #1 at a hub airport with an eventual eye toward improvement. The first step is to model it as it is (i. e. , BASE model) during the eight hours of the busiest part of a typical weekday. You will create an Arena model of the check-in and the security operations, only. Once passengers get through security they are on their way to their departure gate and leave the system. Passengers arrive one at a time through the front entrance from curbside ground transportation with interarrival times distributed Expo(0. 5) minutes. [All time units are in minutes. ] Of these arriving passengers, 33% go left to an old-fashioned manual check-in counter. And, 57% of the arriving passengers go right to a new automated check-in counter. These two types of passengers take no time to move from the front entrance to their check-in locations. The remaining 10% of arriving passengers do not need to check-in at all and go directly from the front entrance to security.
It takes these passengers Unif(3, 5) to move from the front entrance to security. There are two agents at the manual check-in station, fed by a single first-come-first-server queue. Manual check-in service times are Triangular(1, 2, 5). After manual check-in, it takes passengers Unif(2. 5, 6. 5) to walk to the security area. The automated check-in consists of two kiosks and is fed by a single first-come-first-server queue. Automated check-in times are Triangular(0. 5, 1, 1. 5). After checking in, these automated check-in passengers take Unif(1, 3) to walk to the security area. Notice that all types of passengers eventually go to the security area where there are 6 check-in pods fed by a single first-come-first-serve queue. Security check-in times are Triangular(1, 2, 6). This time covers the many security activities in a pod-like: x-ray, metal detector, bag search, etc. Once through security, passengers head to their gates and leave the model. Simulate this system for 8 hours and 1 replication. The performance metric of interest is the average total time in the system of passengers (for all types combined). Place this average somewhere on the model in a text-box. Arena file name: YournameIT630Q1BASE. doe. Place file into folder: yourNameIT630InClassFinalExam. Warning: It is your responsibility to make sure that your files are present in your yourNameIT630InClassFinalExam folder and that they open properly. Question #1 (continued)
PART II: ALTERNATIVE MODEL (5 points) In PART I, the airline noticed that a lot of people who opt for the manual check-in really don’t need the extra services there and could have used the automated check-in.
Instead of the original 33% manual check-in and 57% automated check-in, suppose that the airline is able to encourage only 15% of the arriving passengers to go to the manual check-in and 70% to go to the automated check-in. The other 15% of the arriving passengers go right to security. Nothing else in the Part I model changes. Revise your Part I Arena model to reflect these changes and name it YournameIT630Q1ALT. doe. Simulate this system for 8 hours and 1 replication. The performance metric of interest is the average total time in the system of passengers (for all types combined). Place this average somewhere on the model in a text-box.
PART III: ARENA OUTPUT ANALYZER (10 points) You will need to run both models for 100 replications. Using the Arena Output Analyzer, compare the average total time in the system of the BASE model against the ALT model to determine whether or not the changes you made actually made a statistically significant difference. Hint: Use the Statistics module.

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