Chinasa Onyenkpa

Link to Design Journal
Journal Entry For
Module 8 - Make Your Pitch
ACC Folder Link

My proposed tool will be a generative design study. I will be expanding on the study I created for module 7, in which I optimize the airplane seat configuration. I will be expanding the study by adding inputs and defining new evaluation metrics to develop a tool that better accounts for the cabin geometries of different passenger-carrying planes and the desires of different airlines such as the fuel usage, passenger comfort, or seat/class types in their planes.

Intended users

This tool is intended for airlines who are aiming to improve the inflight experience of their passengers by ensuring their comfort and safety, while still being profitable. The airlines will have access to this tool and be able to use it during two stages in their acquisition of an airplane. They can use the tool to help decide what type of plane to order due to the dimensions of the cabin space to ensure that they meet their seat size and number goals while maximizing comfort, profit, and safety. This tool could also be used after an airline has already ordered a plane and it is in the last stage of construction in which the interior and seats are installed. This tool could help them decide what spacing should be used between seats to maximize legroom and what size of the seat should be used in each class of the plane.

Need you’re trying to provide a solution or support for

This tool can be used in the beginning and end stages of acquiring an airplane to add to an airline’s fleet. The tool can help airlines decide what cabin dimensions and types of classes available on a plane would be most profitable or the tool can help decide what seat sizes and the number of rows and sections would be most profitable after the cabin dimensions have already been determined.

Inputs

  • Cabin length
  • Cabin width
  • Number of exit rows
  • Number of aisles
  • Aisle width
  • Number of classes
  • Average flying hours per trip

Underlying logic of the model you’ll implement

The tool will use the inputs to determine the average legroom for each class in the plane, the average width of the seat, and the average amount of obstructions between a passenger and their line of sight to the air hostess. The tool will also compute the number of passengers, and the fuel required to fly the number of passengers for the specified flight length. The tool will optimize the airplane configuration by maximizing the number of seats and the legroom while minimizing the number of obstructions and minimizing the fuel requirement.

Outputs

  • Average legroom
  • Number of seats
  • Fuel requirement
  • Amount of obstructions