Datasets for manuscript: ADAM: A Web Platform for Graph-Based Modeling and Optimization of Supply Chains

# ADAM-Data-Repository This repository contains all the data needed to run the case studies for the ADAM manuscript. ## Biogas production The directory "biogas" contains all data for the biogas production case studies (Figs 13 and 14). Specifically, "biogas/biogas_x" contains the data files for the scenario where "x" is the corresponding Renewable Energy Certificates (RECs) value. ## Plastic waste recycling The directory "plastic_waste" contains all data for the plastic waste recycling case studies (Figs 15 and 16). Different scenarios share the same supply, technology site, and technology candidate data, as specified by the "csv" files under "plastic_waste". Each scenario has a different demand data file, which is contained in "plastic_waste/Elec_price" and "plastic_waste/PET_price". ## How to run the case studies In order to run the case studies, one can create a new model in ADAM and upload appropriate CSV file at each step (e.g. upload `biogas/biogas_0/supplydata197.csv` in step 2 where supply data are specified). This dataset is associated with the following publication: Hu, Y., W. Zhang, P. Tominac, M. Shen, D. Göreke, E. Martín-Hernández, M. Martín, G.J. Ruiz-Mercado, and V.M. Zavala. ADAM: A web platform for graph-based modeling and optimization of supply chains. COMPUTERS AND CHEMICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 165: 107911, (2022).

                                            [
  "020:00"
]
                                        

                                            {
  "fn": "Gerardo Ruiz-Mercado",
  "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
}
                                        

                                            [
  {
    "title": "https://github.com/gruizmer/ADAM-Data-Repository",
    "accessURL": "https://github.com/gruizmer/ADAM-Data-Repository"
  }
]
                                        

                                            [
  "nutrient pollution",
  "organic waste",
  "supply chain",
  "water pollution"
]
                                        

                                            [
  "020:000"
]
                                        

                                            {
  "name": "U.S. EPA Office of Research and Development (ORD)",
  "subOrganizationOf": {
    "name": "U.S. Environmental Protection Agency",
    "subOrganizationOf": {
      "name": "U.S. Government"
    }
  }
}
                                        

                                            [
  "https://doi.org/10.1016/j.compchemeng.2022.107911"
]
                                        

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