https://github.com/neelsoumya/forecasting_port_throughput

Forecasting port throughput
https://github.com/neelsoumya/forecasting_port_throughput

forecasting logistics port supply-chain supply-chain-management throughput

Last synced: 4 days ago
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Forecasting port throughput

• Host: GitHub
• URL: https://github.com/neelsoumya/forecasting_port_throughput
• Owner: neelsoumya
• Created: 2022-01-03T09:55:21.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-05-15T05:01:36.000Z (over 2 years ago)
• Last Synced: 2024-01-29T16:07:20.804Z (10 months ago)
• Topics: forecasting, logistics, port, supply-chain, supply-chain-management, throughput
• Language: Jupyter Notebook
• Homepage:
• Size: 878 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md

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README

        
# forecasting_port_throughput

## Introduction

Code to perform forecasting of port throughput. Synthetic data is used here as an example.

## Installation

```r

install.packages('devtools')

library(devtools)

devtools::install_github('neelsoumya/forecasting_port_throughput')

```

## Code

Code applied to synthetic data 

https://bitbucket.org/neelsoumya/accident_prediction/src

R shiny application to perform forecasting and SQL like queries for a road accident forecasting and data exploration project

https://neelsoumya.shinyapps.io/accident_prediction/

## Manucript

https://www.repository.cam.ac.uk/handle/1810/304150

https://osf.io/c3av2/

## Citation

Forecasting Australian port throughput: Lessons and Pitfalls in the era of Big Data, Yuriy Tyshetskiy, Soumya Banerjee, George Mathews, Thomas Vitsounis, Proceedings of the Annual Conference of the International Association of Maritime Economists (2016)