https://github.com/ejw-data/sim-queue

Basic waiting line queuing system
https://github.com/ejw-data/sim-queue

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Basic waiting line queuing system

• Host: GitHub
• URL: https://github.com/ejw-data/sim-queue
• Owner: ejw-data
• Created: 2023-07-18T18:02:32.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-07-21T06:35:48.000Z (almost 3 years ago)
• Last Synced: 2025-01-22T06:47:09.683Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 956 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# sim-queue

Author:  Erin James Wills, ejw.data@gmail.com  

![Queueing Simulation](./images/queue-simulation.png)  

Photo by Adrien Delforge on Unsplash




## Overview  

  

Basic waiting line queueing system  


## Excel Simulations

1.  `queue-sim.xlsm` - Queue system that calculates arrivals and service time based on a normal distribution and generates the wait time, leaving time, and number of people in the queue.  

## R Simulations

1.  `queue_sim.ipynb` - Python (utilizing R package) version of the Excel `queue-sim.xlsm`

1.  `chained_queue_sim.ipynb` - Continuation of the `queue_sim.ipynb` that illustrates how one queue can feed into multiple other queues.  

## Python Simulations

1.  `queue_sim.ipynb` - Python version of the Excel `queue-sim.xlsm`.  Uses basic Python specifically scipy and numpy.  

## Technologies

* Excell

* Python

* R

## Installations

* R

    1.  Ensure R is installed

    1.  Ensure R is added to the Path (PC):  `C:/Program Files/R//bin`

    1.  Open Gitbash and type `r` to open the r terminal

    1.  Install package:  `install.packages('quequecomputer')`

    1.  Select download region from popup

    1.  Check that package is now available:  `libary('quequecomputer')` - no errors should occur

    1.  Close terminal and open new Gitbash and install `pip install rpy2` into your environment

```Note:  rpy2 requires R 4.0+ and Python 3.7+ and older version of Visual Studio Build Tool (like 2019) can cause install errors.  I needed to uninstall the older tool and reinstall the most recent version.  Visual Studio Build Tools 2022 works fine with R 4.2 and Python 3.10 for my setup```  

## Improvements

* use quequecomputer and for loop over the number of servers but to make it better find the average of at least 20 points for each observer.  Then plot it.  

* use quequecomputer and simulate something like a covid processing center to determine the number of people and building size.