Flying High
Build It!
| Ages | Cost | Time |
|---|---|---|
| 14+ | Low | Half day |
28th March 2026 at 9am EST | 1pm GMT | 2pm CET | 3pm SAST
Riverside International Airport (RTA) is a regional international airport serving both domestic and international flights. Passenger demand is growing, but the airport is already experiencing significant delays during peak periods.
You are part of an industrial engineering team contracted by the management to analyze current airport operational data, identify the most significant bottleneck(s), and propose system, process, flow, and/or layout changes to alleviate current congestion and possibly accommodate future expected demand.
This challenge is part of the Next Engineers: Engineering Academy Collaboration series of events.
This challenge will give you opportunities to practice all the engineering habits of mind, but especially problem-finding, systems thinking, and improving.
Your team has been asked to assist with the design of systems, processes, passenger flows, and internal terminal layouts to reduce current peak congestion and allow the airport to accommodate future expected capacity demands.
Below, you will find data about current capacity and operations that RTA has compiled for you. Use these data to:
You may make any reasonable assumptions where needed, so long as these are clearly stated and justified.
At the end of the time, you will present your proposals to the CEO of the airport. You may present your thinking in whatever form you choose. You will have 5 – 10 minutes for this presentation.
NOTE: Your task is NOT to design buildings or aesthetics, and you are not (re)designing the whole airport.
Because time on the day is limited, you and your team should try and make a start on the challenge if you can. Read through the operational data and start analyzing it to begin identifying the most significant bottleneck(s).
The data below was compiled by the management team of RTA to assist you in your analysis.
Current passenger volumes
Target passenger wait times
Expected required capacity by 2034
Fixed constraints (non-negotiable)
Typical passenger flow
Key operational metrics
The length of time passengers need to wait before proceeding through an airport transition, e.g., check-in/bag-drop, security, or passport control.
All gate tasks are strictly done one after another (e.g., deplane then clean then refuel then board). This requires simple co-ordination, is stable and reliable, and reduces the number of ground-staff needed. But it is slow.
At least some gate tasks are performed in parallel (e.g., clean and refuel). This requires more complicated co-ordination, is less stable and reliable, and increases the number of ground-staff needed. But it is faster.
Each landing and taxi to gate is 1 movement. Each taxi from gate and take-off is another movement.
Click on each image to see a larger version.
Use the following step-by-step guide to help you think through the problem, interpret the data that you have, identify the assumptions you may need to make, and structure and justify your responses.
Remember:
Use the data you have been provided to explore where current congestion issues are likely to occur and where the most significant bottleneck(s) exist. To do this, you will need to do some simple calculations.
For example, if the current peak demand is 5,750 passengers/hour and this includes arriving and departing passengers, how many passengers do you expect the security checkpoint needs to deal with? What assumption(s) do you need to make? Refer to the Assumption bank below to check that your assumptions are realistic.
Here are some possible bottlenecks you might investigate.
Choose what you consider are the most important bottleneck(s) to focus on. Make sure you have a well-reasoned justification for why you chose this bottleneck/these bottlenecks, making all your assumptions explicit. You will have to rely on the calculations you did and the assumptions you made to make this decision. Remember that you can choose more than one bottleneck to work on, if you like.
Dig deeper into your chosen bottleneck(s) by mapping the systems around them and identifying things like:
Once again, you might need to do some calculations and make some assumptions.
Based on your analysis of the existing bottleneck(s), what kind of interventions seem most promising? Indicate whether you believe your proposal serves as a short-term stabilization only or as a long-term capacity solution as well. This is another point at which doing some calculations would be helpful.
For example, if you think adding new passport control lanes would be helpful, do the calculations that demonstrate what quantitative effect this will have. Check the Assumption bank including the section on Operational improvements to make sure that your proposals are grounded in reality.
Here are some examples of the kinds of changes you could propose, but it is certainly not all of them.
Remember, you must be able to justify whatever design proposal(s) you make, again making sure that all your assumptions are explicit and reasonable.
What specific performance improvements can your design proposal(s) be expected to deliver? Do the calculations so that you can convince the CEO that your proposals will work. Some examples include:
If you have not yet done this, explicitly examine whether your design proposal(s) is(are) sufficient to also meet expected future demand. You will probably need to do some calculations based on the passenger and aircraft demand estimates provided. For example, if peak demand rises at the same percentage as overall passengers, how would your proposals cope with this new demand?
If not, what additional proposals could you make? What other bottleneck(s) are likely to emerge that will need to be addressed in the future?
There is no set format for your presentation. You can create a PowerPoint presentation or other document if you wish. The most important thing is that you justify your proposals. This means you need to explain your thinking and describe how and why you arrived at your conclusions, including making all your assumptions explicit. For the CEO to take your recommendations seriously, they need to understand why you are making them and why they make sense.
Here is a helpful checklist you can use to make sure that your presentation is as complete as possible:
You have 5 – 10 minutes to present your recommendations. Thereafter, the CEO is likely going to want to ask you some questions and have you explain in more detail how you arrived at these conclusions.
It is important that everyone on your team participates in the presentation.
The operational data you have been given, on its own, is not enough to do a proper analysis. You need perform some simple calculations to understand what is really happening in the airport.
If you know the demand for a service per hour and how many people that service can process in an hour, you can calculate the amount of time someone can expect to stand in the queue. See the example below.
Passenger throughput and gate utilization
The following are international benchmarks for airport passenger throughputs and gate utilization. There is no “right” value, but you should remain within these ranges so that your assumptions and proposals are anchored in reality. In most cases there is a trade-off between conservative but stable and reliable throughputs and highly efficient but fragile throughputs. You still need to justify all your assumptions.
Operational improvements
You may not assume operational improvements from the following interventions beyond the ranges indicated. You still need to justify all your assumptions.
The length of time passengers need to wait before proceeding through an airport transition e.g., check-in/bag-drop, security, or passport control.
All gate tasks are strictly done one after another (e.g., deplane then clean then refuel then board). This requires simple co-ordination, is stable and reliable, and reduces the number of ground-staff needed. But it is slow.
At least some gate tasks are performed in parallel (e.g., clean and refuel). This requires more complicated co-ordination, is less stable and reliable, and increases the number of ground-staff needed. But it is faster.
Each landing and taxi to gate is 1 movement. Each taxi from gate and take-off is another movement.
Calculating expected queue times based on how many passengers (pax) arrive at a point per hour and how many passengers can be processed per hour is simple to do. Here is an example.
Service rate = 15 lanes x 35 pax/hr/lane = 525 pax/hr
Arrival rate = 800 pax/hr
Utilization = arrival rate / service rate = 800/525 = 1.5
A utilization greater than 1 indicates an unstable queue. In other words, the time to process one hour’s arrivals is greater than one hour. In this case, it would take 1.5 hours. If high volumes persisted, queues would get longer and longer until the arrival rate falls below the service rate.