biostudies-literatureHu YIntramural EPA107911https://www.ebi.ac.uk/biostudies/studies/S-EPMC9610445biostudies-literatureUnknown165Modeling and optimization are essential tasks that arise in the analysis and design of supply chains (SCs). SC models are essential for understanding emergent behavior such as transactions between participants, inherent value of products exchanged, as well as impact of externalities (e.g., policy and climate) and of constraints. Unfortunately, most users of SC models have limited expertise in mathematical optimization, and this hinders the adoption of advanced decision-making tools. In this work, we present ADAM, a web platform that enables the modeling and optimization of SCs. ADAM facilitates modeling by leveraging intuitive and compact graph-based abstractions that allow the user to express dependencies between locations, products, and participants. ADAM model objects serve as repositorComputers & chemical engineeringADAM: A web platform for graph-based modeling and optimization of supply chains.PMC9610445EPA999999Zhang WShen MMartin-Hernandez EHu YZavala VMRuiz-Mercado GJGoreke DMartin MTominac PfalseADAM: A web platform for graph-based modeling and optimization of supply chains.Modeling and optimization are essential tasks that arise in the analysis and design of supply chains (SCs). SC models are essential for understanding emergent behavior such as transactions between participants, inherent value of products exchanged, as well as impact of externalities (e.g., policy and climate) and of constraints. Unfortunately, most users of SC models have limited expertise in mathematical optimization, and this hinders the adoption of advanced decision-making tools. In this work, we present ADAM, a web platform that enables the modeling and optimization of SCs. ADAM facilitates modeling by leveraging intuitive and compact graph-based abstractions that allow the user to express dependencies between locations, products, and participants. ADAM model objects serve as repositor2022-01-01T00:00:00Z2022 Sep2025-04-04T09:41:36.562Z2025-04-04T09:41:36.562ZS-EPMC96104453631145910.1016/j.compchemeng.2022.107911