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rtn_scheduling

https://github.com/javalvyas2000/rtn_scheduling

Science Score: 67.0%

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Repository

Basic Info
  • Host: GitHub
  • Owner: JavalVyas2000
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: main
  • Size: 80.1 KB
Statistics
  • Stars: 8
  • Watchers: 1
  • Forks: 2
  • Open Issues: 0
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Created almost 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

🧠 rtn_scheduling

pytest

rtn_scheduling is a Python-based package for solving scheduling problems using the Pyomo optimization modeling language. It is designed to assist in solving scheduling problems with resource task networks as input and is aided by visualization tools such as the Gantt chart, resource levels, and the network.

🚀 Installation

Download or clone rtn_scheduling from this github site.

Navigate to the rtnscheduling folder using a terminal (or Anaconda prompt or VS code terminal) and run setup.py to install rtnscheduling as follows:

python pip install -e .

📦 Requirements

The requirements are listed in the requirements.txt file. To install them, run the following command in the terminal:

python pip install -r requirements.txt

✅ Testing the Installation

To test the successful installation, navigate to the tests folder using a terminal (or Anaconda prompt or VS Code terminal), and then execute the following command.

python pytest mixing_test.py

📝 How to Cite

If you use this package in your research, please cite the following publication:

(https://www.sciencedirect.com/science/article/abs/pii/B9780443288241502490?via%3Dihub) Ovalle, D., Vyas, J., Laird, C.D., & Grossmann, I.E. (2024). Integration of Plant Scheduling Feasibility with Supply Chain Network Under Disruptions Using Machine Learning Surrogates. In 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, pp. 1489–1494. Elsevier. https://doi.org/10.1016/B978-0-443-28824-1.50249-0

📚 Reference

[1] Hector D. Perez, Satyajith Amaran, Shachit S. Iyer, John M. Wassick, Ignacio E. Grossmann, Chapter 14 - Applications of the RTN scheduling model in the chemical industry, Simulation and Optimization in Process Engineering, Elsevier, 2022, https://doi.org/10.1016/B978-0-323-85043-8.00006-4

Owner

  • Login: JavalVyas2000
  • Kind: user

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "rtn_scheduling: A Pyomo-based Framework for Resource Task Network Scheduling"
authors:
  - family-names: "Vyas"
    given-names: "Javal"
    email: javalvyas2000@gmail.com
  - family-names: "Ovalle"
    given-names: "Daniel"
    email: dovallev@andrew.cmu.edu
  - family-names: "Laird"
    given-names: "Carl D."
    email: claird@andrew.cmu.edu
repository-code: "https://github.com/JavalVyas2000/rtn_scheduling"
license: BSD-3-Clause
license-url: "https://opensource.org/licenses/BSD-3-Clause"
keywords:
  - Resource Task Network
  - Batch Scheduling
  - Optimization
  - Pyomo
  - Gantt Chart
  - Industrial Engineering
abstract: >
  rtn_scheduling is a Python-based package for solving plant scheduling problems 
  using the Resource Task Network (RTN) formulation. It utilizes Pyomo for modeling 
  and supports visualizations such as Gantt charts and resource profiles.
preferred-citation:
  type: article
  authors:
    - family-names: "Ovalle"
      given-names: "Daniel"
    - family-names: "Vyas"
      given-names: "Javal"
    - family-names: "Laird"
      given-names: "Carl D."
    - family-names: "Grossmann"
      given-names: "Ignacio E."
  title: "Integration of Plant Scheduling Feasibility with Supply Chain Network Under Disruptions Using Machine Learning Surrogates"
  booktitle: "34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering"
  publisher: "Elsevier"
  year: 2024
  pages: "1489–1494"
  doi: "10.1016/b978-0-443-28824-1.50249-0"
  url: "https://doi.org/10.1016/b978-0-443-28824-1.50249-0"

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Dependencies

.github/workflows/pytest.yml actions
  • actions/checkout v3 composite
requirements.txt pypi
  • gurobipy *
  • matplotlib *
  • networkx *
  • openpyxl *
  • pandas *
  • pyomo *
  • pytest *
  • scipy *
setup.py pypi