https://github.com/thomasnield/customer-wait-queue-simulation

Using poisson distribution to optimize/simulate staffing count decisions to minimize wait times
https://github.com/thomasnield/customer-wait-queue-simulation

Last synced: 12 months ago
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Using poisson distribution to optimize/simulate staffing count decisions to minimize wait times

• Host: GitHub
• URL: https://github.com/thomasnield/customer-wait-queue-simulation
• Owner: thomasnield
• Created: 2018-12-30T15:09:02.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-02-03T14:32:53.000Z (over 7 years ago)
• Last Synced: 2025-04-08T14:38:27.950Z (about 1 year ago)
• Language: Kotlin
• Size: 3.06 MB
• Stars: 11
• Watchers: 2
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

          
# Poisson Optimizer and Simulator

Using poisson and normal distributions to simulate staffing headcount decisions and impact on wait times. Blog post/video coming soon.

## Abstract

This is a stochastic (controlled randomness) simulator that accepts probabilistic parameters (number of staff, average customer arrivals per hour, average minutes to process a customer) and animates the outcome over a specified period.

The animation was built with JavaFX/TornadoFX. 

![](animation.gif)