Difference between revisions of "The Line of Least Resistance"

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== Project Overview ==
 
On a warm Saturday afternoon, Andrew found himself still waiting 30 minutes after his scheduled trip up the iconic St. Louis arch. Reflecting on the experience weeks later with fellow Systems Science and Engineering student Devon, they hypothesized there had to be a more efficient way to run the system by fixing how they manage the masses with their queues.  
 
On a warm Saturday afternoon, Andrew found himself still waiting 30 minutes after his scheduled trip up the iconic St. Louis arch. Reflecting on the experience weeks later with fellow Systems Science and Engineering student Devon, they hypothesized there had to be a more efficient way to run the system by fixing how they manage the masses with their queues.  
  
 
We aim to analyze the system and devise a method to decrease the waiting time for visitors by observing the current system and simulating both the current system and potential new ones, while keeping in mind restrictions such as cost, limited space in the capsules, and limited space at viewing area at the top. We hope to find a successful method for the Arch and to apply it to other tourist attractions or systems that also include queueing.  
 
We aim to analyze the system and devise a method to decrease the waiting time for visitors by observing the current system and simulating both the current system and potential new ones, while keeping in mind restrictions such as cost, limited space in the capsules, and limited space at viewing area at the top. We hope to find a successful method for the Arch and to apply it to other tourist attractions or systems that also include queueing.  
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== Team Members ==
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* Devon Essick
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* Andrew Sweren
  
 
[[Category:Projects]]
 
[[Category:Projects]]
 
[[Category:Fall 2016 Projects]]
 
[[Category:Fall 2016 Projects]]

Revision as of 15:57, 9 September 2016

Project Overview

On a warm Saturday afternoon, Andrew found himself still waiting 30 minutes after his scheduled trip up the iconic St. Louis arch. Reflecting on the experience weeks later with fellow Systems Science and Engineering student Devon, they hypothesized there had to be a more efficient way to run the system by fixing how they manage the masses with their queues.

We aim to analyze the system and devise a method to decrease the waiting time for visitors by observing the current system and simulating both the current system and potential new ones, while keeping in mind restrictions such as cost, limited space in the capsules, and limited space at viewing area at the top. We hope to find a successful method for the Arch and to apply it to other tourist attractions or systems that also include queueing.

Team Members

  • Devon Essick
  • Andrew Sweren