Projects

1. InventOpt   Discrete-event simulation models for supply chains and inventory networks and a case study.
   
   

   This Python project demonstrates how to optimize inventory levels across a five-node supply chain network to maximize overall net profit, using Metamodel-based Optimization approach. This work is published in SIMULTECH 2023.
   Visit GitHub repo to learn more.

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2. SupplyNetPy   An open source Python library for discrete-event simulation of supply chains.
   
   

   An open-source Python library designed specifically for modeling, simulating, and analyzing supply chains. The library features supply chain-specific components to model arbitrary supply chain networks easily. It is built on Python’s SimPy discrete-event simulation framework and is flexible and extensible, allowing users to customize and extend its functionality as needed.
   
   For more details, visit the GitHub repo or the documentation.

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