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Supporting data and analysis scripts for the paper "Intelligent Sustainable Multi-Agent Coordination (ISMAC): A Synergistic Algorithm for Resilient and Carbon-Efficient Supply Chain Management".

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ISMAC

Supporting data and analysis scripts for the paper "Intelligent Sustainable Multi-Agent Coordination (ISMAC): A Synergistic Algorithm for Resilient and Carbon-Efficient Supply Chain Management".

Supporting Data for "Intelligent Sustainable Multi-Agent Coordination (ISMAC)"

This repository contains the simulation logs and analysis scripts supporting the findings of the paper, "Intelligent Sustainable Multi-Agent Coordination (ISMAC): A Synergistic Algorithm for Resilient and Carbon-Efficient Supply Chain Management." The data provided enables the full replication of all tables and figures presented in the manuscript. The repository is organized by experimental scenario, with raw .csv log files located in the /data subdirectories.

The analysis is performed using the Python scripts located in the /analysis_scripts folder. To reproduce the results, first install the required packages using pip install -r analysis_scripts/requirements.txt. Then, run the primary processing script 01_process_raw_logs.py to parse the detailed event logs and generate an aggregated summary file. Subsequent scripts can then be run to generate the specific figures and tables, which will be saved in the /generated_outputs directory.

The core ISMAC simulation source code is not publicly available but may be requested from the corresponding author for academic, non-commercial research purposes. The data and analysis scripts herein are distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

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Supporting data and analysis scripts for the paper "Intelligent Sustainable Multi-Agent Coordination (ISMAC): A Synergistic Algorithm for Resilient and Carbon-Efficient Supply Chain Management".

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