11th Annual International Conference on Industrial Engineering and Operations Management

Optimizing Car Safety and Function using Mixture DOE and Physics

Arhan Surapaneni & Mason Chen
Publisher: IEOM Society International
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Track: High School STEM Competition
Abstract

People all over the world have come to see automobiles as the preferred way to travel. They allow independence: point to point transportation without having to rely on others to get where we want to go. In a world that is quickly becoming ever dependent on technology, car manufacturers are constantly coming up with new technologies to get people to buy their products/vehicles. However, as Manufacturers break all boundaries of mechanical development, simple things like tire to terrain adaptation, and suspension optimizations for different scenarios are often overlooked, even though these small but vital acknowledgements could drastically change this billion dollar industry. Utilizing the gaming tool Hill Climber 2, in realistic modeling of sand dunes, hills and motor vehicles, different tire types and utilization of ranging variables in the components of Suspension, Engine Power, and Tires will allow us to make Lasting Claims for the Efficiency and Effectiveness of Motor Vehicles. The goal of this game is to optimize the previously mentioned components so that the vehicle is not only able to collect the most points but travel the most distance. Using a Mixture DOE Method, wthe authors determined ideal conditions for our aforementioned components so that the driving experience can be optimized for all users, not only for bountiful return in game, but also the extensive real life applications that can be applied on the road by car manufacturers. This same Mixture DOE, analyzes and optimizes business strategies like ROI, so that not only time is saved, but so is money.

Published in: 11th Annual International Conference on Industrial Engineering and Operations Management, Singapore, Singapore

Publisher: IEOM Society International
Date of Conference: March 7-11, 2021

ISBN: 978-1-7923-6124-1
ISSN/E-ISSN: 2169-8767