• ISSN: 2010-0248
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: Google Scholar, Ulrich's Periodicals Directory,  Crossref and ProQuest, Electronic Journals Library.
    • E-mail: ijimt@ejournal.net
IJIMT 2021 Vol.12(1): 11-14 ISSN: 2010-0248
doi: 10.18178/ijimt.2021.12.1.902

Robust Optimization of Travel Management in Europe

Mason Chen
Abstract— The objective was to manage European travel plans by limiting the time to 28.8 hours and cost to $500 used in transportation. Design constraints were implemented, ensuring that the model was practical. There are 5 travel segments which have 2 choices: flight/train. Taking a train would better when traveling <500km while taking a flight is preferred when traveling >1,000km. 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. A multiple regression model was built on mean time & expense. The predictive DOE model shows that Paris-Munich by train is more desirable than flight. Although the neural model was conducted, it was not able to outperform the structured DOE model in terms of desirability. However, we should not exclude the neural method as the Structured DOE and the modern AI Algorithm should coexist. The robust design Monte Carlo simulation shows that there is an 8% risk of not meeting the $500 budget. By raising the importance of time, the new optimal route can meet requirements.

Index Terms— Travel, optimization, Europe, DOE, Monte Carlo simulation.

Mason Chen was with Stanford OHS, USA (e-mail: mason05@ohs.stanford.edu).


Cite: Mason Chen, " Robust Optimization of Travel Management in Europe," International Journal of Innovation, Management and Technology vol. 12, no. 1, pp. 11-14, 2021.

Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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