Lab_3_ie453_Sp2024 (1)
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School
Pennsylvania State University *
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Course
453
Subject
Industrial Engineering
Date
Feb 20, 2024
Type
Pages
3
Uploaded by ewangbball23
Laboratory #3: Airport operations IE 453, Spring 2024 Harmonosky
Main Learning Objective of This Lab: The simulation using Simio in today’s lab will allow you to: •
apply modeling skills to a system with more complex routing logic •
translate new types of logic from the “real world” to the modeled world Overview of Lab:
You will model part of an airport terminal operation to address the concerns of the operations manager about complaints from passengers regarding the amount of time it takes to get through check-in and security. You will need to identify what types of data you need to develop your model and ask the operations manager for the needed data. Read Prior to Lab,
in Smith & Sturrock (2021) ”Simio and Simulation: Modeling, Analysis, Applications 6
th
Ed.” textbook
:
Chapter 5: Section 5.1.7, Expressions, including distributions and mathematical expressions Section 5.3.4, Failures Chapter 6: Section 6.3 particularly paragraphs 4 and 5 on p. 192, Random number streams Chapter 4: Section 4.2.3, Reminder for Pivot Grid output data for multiple replications, what columns mean and how calculated. Do Prior to Lab:
See “Methodology” Step #1 System Description: You have been hired as an Industrial Engineering consultant for a small airport to analyze part of their airport operations, which includes passenger check-in, baggage check and gate security. They have received some passenger complaints regarding the amount of time it takes to get through these operations with passengers worried they may miss their flight. Passengers arrive one at a time through the terminal front door. Of these passengers, some go to a traditional manual check-in counter staffed by an airport employee, some go to an automated check-in area, and the remaining passengers don’t need to check in at all and proceed directly to the gate security area. The manual check-in counter and the automated check-in area each have a single FIFO customer queue. After either manual check-in or automated check-in, passengers proceed with the bags they are checking to a TSA employee station to be inspected. Because both the manual and automated check-in areas have a TSA employee station directly in front of that check-in area, passengers naturally walk toward the station directly in front of them. However, when they look at the queues for both TSA stations, they may decide to enter the other TSA station queue if the other queue has at least 2 fewer passengers waiting in line. Also, these bag inspection stations do have periodic failures. After passengers have their bags inspected, they then walk to the gate security area. In the gate security area, all passengers go through a metal detector and some fraction of the passengers set it off. These passengers step aside and after a brief delay to empty pockets, remove jewelry, etc., go to the front of the metal detector line to walk through again. (NOTE: while one customer is emptying pockets, other customers may continue to process through the metal detector.) These passengers take less time to go through the metal detector than passengers going through the first time.
Once they pass the metal detector, some fraction of the passengers are selected for more detailed search and they move to the search area. Finally, all passengers will walk to their gates. The operations manager is very concerned about the amount of time it takes each of their 3 types of customers (manual check-in, automated check-in and no check-in) to get through the operations described above. They expect that you will also analyze 1 modification to the system that you think will help reduce the time in system, justified by your analysis of the output data. Methodology 1. Before lab
: Identify your objective. Then, develop: 1)
a list identifying the entities, resources and system performance measures you will need to analyze, 2)
a logic flow diagram of the current system from your understanding of the description, 3)
a list of input data you will need to obtain from the manager. During Lab: 2. Finalize the logic flow diagram. 3. Build your model of the original system: make sure you verify
that it is running correctly before running multiple replications! 4. Based on your output data analysis, make one system change to your model that you believe, based on your output data, might
make an improvement. Your suggestion MUST BE JUSTIFIED by your data analysis
. Note: It is possible the change you make, even though justified by your data
, might not make the positive change that you anticipated. That is perfectly fine!
That is why we test a system change using the simulation model before
spending money on implementing a change to learn whether or not it is effective. If we learn the change is not effective from the simulation model, we save the money and do not make the change! Expectations for what to include in your lab report specific to Lab 3 are on the next page.
Lab 3 Spring 2024
Include in your Lab Report 1
. Executive Summary:
Brief description of the system/problem, report of key performance measures, your recommendation whether or not the system change you modeled should be made justified with numerical data.
2.
Procedure:
Limit to how you translated the following real world system logic: •
choosing between 2 different resource queues •
equipment failure •
different metal detector times for first-time through customers and returning customers. •
getting the performance measure for time in the system per customer type and overall Make sure to include both the object information and key specific input/data values necessary. 3. Results & Discussion:
a.
Results – means and 95% confidence intervals (CIs) for the key performance measures of interest to the manager (time in system by customer type). Report all these measures for both (1) the current system and (2) the system with your one proposed change that is justified by your analysis of the output data. b.
Discussion:
i.
For the one system change you made to your model, describe the change and explain why you believe it might make an improvement and this MUST BE JUSTIFIED by your data analysis
.
ii.
Comparing Means and CIs of key performance measures for current system and your proposed change, specifically discuss the similarities and differences.
Remember this Note: It is possible the change you make, even though justified by your data
, might not make the positive change that you anticipated. That is perfectly fine!
That is why we test a system change using the simulation model before
spending money on implementing a change to learn whether or not it is effective. If we learn the change is not effective from the simulation model, we save the money and do not make the change! 4. Conclusion:
Include key data values for the key performance measures of interest to the operations manager. Make a conclusion based on your data – do you think the one system change you suggested makes an improvement that is significant enough that you strongly recommend the company make the change?
5. Submit
: Your Lab Report and your Simio model
files for both
(1) original model, and (2) model with the change you made to the Dropbox on Canvas by the lab due date and time. Point % distribution by section of report for this lab: Executive Summary 10 Procedure 17 Results & Discussion 50 total •
Results – confidence intervals (CIs) for the key performance measures, current and with proposed changes – 25 •
Discussion – comparing CIs; also your suggested one system change – 25 Conclusion 10 Model correctness (based on model submitted to dropbox) 10 Appendix - Logic Flow Diagram 3 NOTE:
Reminder: the models in the Drop box must
match the model code and output data submitted in your report. Remember, if the output data from the model in the Drop box does NOT match the output data submitted in your report, it an automatic
20% deduction from your grade.
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