Time minimization of warehouse work shift

Supply Chain Process Design using the Queueing Theory

Warehouse path optimization using Reinforcement Learning (RL) enables agents to learn efficient routes by interacting with the environment. The system improves over time by minimizing travel distance and adapting to dynamic warehouse conditions, leading to smarter and faster logistics operations.

My Bachelor's final project

Warehouse Optimizer is a web-based tool designed to streamline warehouse operations by optimizing product placements based on customer orders. It enables warehouse managers to upload warehouse maps, manage product storage, and analyze order data to enhance efficiency.

A project showcasing a scheduling algorithm to optimize warehouse robot coordination for efficient product delivery and order fulfillment.

Three Wheel Holonomic Drive for Warehouse Automation Capstone Project, made by final year students at MITWPU '23.

LogiTrack is a Python & Streamlit-powered inventory management system for real-time warehouse optimization. It offers multi-warehouse planning, interactive maps, and supply chain analytics, supporting global coordinates, CSV/SQL data, and customizable parameters.

Predictive optimization model designed to improve logistics efficiency for Lavazza by identifying cost-effective warehouse locations and distribution strategies, ultimately saving 15% on transportation costs.

AI-Enhanced Supply Chain Optimization (AIESCO) is an AI-based algorithm designed to optimize supply chain operations and logistics.

This project is the final internship project, which is a web-based application developed to meet the needs of PT Telkom Akses Palembang for maintaining the flow of incoming and outgoing NTE materials.

This project helps reduce walking time in warehouses using a Python tool that simulates picking routes. Users can test strategies like wave picking and clustering on a 2D layout to find the most efficient method.

This project helps reduce walking time in warehouses using a Python tool that simulates picking routes. Users can test strategies like wave picking and clustering on a 2D layout to find the most efficient method.