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Activity Number: 29 - SPEED: Survey Methods, Transportation Studies, SocioEconomics, and General Statistical Methods Part 1
Type: Contributed
Date/Time: Sunday, July 28, 2019 : 2:00 PM to 3:50 PM
Sponsor: Quality and Productivity Section
Abstract #304858 Presentation 1 Presentation 2
Title: DOE Optimization of Managing Trip in Europe
Author(s): Charles Chen* and Mason Chen and Brianna Zheng
Companies: Applied Materials and Mission San Jose High School, Stanford OHS and Basis School
Keywords: DOE; Transportation; Statistics; Physics

The objective of this project was to better manage European travel plans by limiting the time to 28.8 hours and cost to $500 used in transportation while attending as many conferences as possible. The input variables used were the intra-city time and expense; the response variables were the total time and expense. Design constraints were implemented, ensuring that the model was practical while defining the project scope. Only the fastest route, clockwise & counterclockwise, were studied. There are 5 variables (5 cities) and each segment has 2 choices: flight or train. Based on research, taking a train would better when traveling < 500km while taking a flight is preferred when traveling>1,000km (both are possible choices when the distance is in between). Research was further done on the aerodynamics involved in helping an airplane fly such as lift and drag and physics involved in trains such as friction and acceleration. Based on the costs & durations, only the Paris-Munich route is debatable on which transportation to use. Based on a multiple regression model built on mean time & expense, the predictive DOE model shows that Paris-Munich by train is more desirable than flight.

Authors who are presenting talks have a * after their name.

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