Published September 17, 2024 | Version v2

Process Integration Multi-Actor Multi-Criteria Optimization (PI-MAMCO) Framework: Case Study on Palm Oil Based Complex (POBC)

  • 1. ROR icon Universitat Politècnica de Catalunya

Description

The dataset includes the complete workflow for the PI-MAMCO method implementation, demonstrated on a POBC integration case study. The files are structured as follows:

  1. NOTEBOOKS Folder: This folder contains the Jupyter notebooks that constitute the entire workflow of our case study. These notebooks import necessary model equations, data, and functions from the "MODEL" folder. Running these notebooks with the correct Python package versions will reproduce the exact results presented in our submitted article.

  2. MODEL Folder: This folder includes all model equations, data, and functions required by the Jupyter notebooks. The scripts in this folder are integral to executing the PI-MAMCO method as outlined in our research.

  3. OUTPUTS Folder: The results generated by running the notebooks are saved in this folder. This includes all outputs reported in our manuscript as well as additional results not included in the paper.

  4. OUTPUTS_GENERATED Folder: The files contained in this folder are the expected results from executing the case study notebook.

Reproducibility: To ensure the reproducibility of our results, please ensure that you are using the correct versions of the required Python packages. Detailed instructions for setting up the Python environment are provided within the notebook and the readme.txt.

Contained are also outputs from the IRenE procedure, used for the literature review (01_extracted_keywords.xlsx02_sampling_results.csv)

Files

PI-MAMCO_POBC_v1.zip

Files (838.7 kB)

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md5:327f851b61831ea5c0305baa175b1245
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Additional details

Software

Programming language
Python , Jupyter Notebook