Hi, I'm Bhoomica.

Passionate about building the warehouses of the future, I work at the intersection of logistics engineering, data science, and automation. At GXO Logistics, I design and implement innovative solutions for customer implementations, warehouse (re)design, and mechanization projects across Europe, while collaborating on AI-driven initiatives such as digital twins and slotting optimization. My PhD at Eindhoven University of Technology complements this by advancing research on optimization and intelligent control algorithms for automated warehouse systems. I thrive on bridging research and practice to create efficient, resilient, and future-ready supply chains.

Latest launch: Udemy course - Learn SimPy from Scratch!

The course demonstrates simulation modeling in Python using SimPy with real-world examples. [click here]

Selected work

Inventory allocation in a two-stage system with advance demand information: Timing matters,
submitted to IISE transactions, 2023
Using Simulation to Assess the Reliability of Forecasts in High-Tech Industry,
submitted to Winter Simulation Conference, 2023
On-line Order Batching for Robot-based Order Picking Systems using Deep Reinforcement Learning,
presented at the European Conference on Operational Research (EURO), Helsinki, Finland, 2022
Integrated decisions for robot-based order fulfilment systems,
submitted to European Journal of Operations Research, 2021

Simulation of a Forward-Reserve Warehouse using AnyLogic

Conference presentation, INFORMS 2022

Simulating a Picking Robot with Push-Back Rack Using AnyLogic