logistics-optimization

AI-powered pharmaceutical supply chain management using LangGraph agents, OpenAI GPT-4, and optimization algorithms.

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

大宗商品供应链管理系统，数字供应链

Hybrid evolutionary approach for multi-objective optimization in a real-life transportation problem

Opti-Logistix, deprem, sel, tsunami gibi geniş çaplı afetlerde kaynakların optimal dağıtımı ve acil yardım araçlarının en etkili rotasını bulmasını sağlayan Yapay Zeka destekli karar destek sistemidir.

Analyze shipping data to improve delivery performance, customer satisfaction, and logistics.

End-to-end Operations Research tool solving the Capacitated Vehicle Routing Problem with Time Windows (VRPTW) in Austin, TX using PuLP MILP optimization, OSMnx street networks, and Folium maps.

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.

Last-mile logistics optimization and scenario-based replanning system using OR-Tools, with KPI analysis, baseline comparison, and interactive Streamlit dashboard

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

A high-performance Power BI analytics suite for B2B supply chain optimization, tracking OTIF, LIFR, and delivery latency metrics for regional fulfillment hubs.

Lightweight, offline-first routing engine designed for edge logistics—maximizing ROI by anchoring routes around high-value priorities and cutting mileage by 13.26% via deterministic 2-Opt refinement.

Sub-Millisecond Zero-Dependency Industrial Operations Research & NP-Hard Optimization Engine in Pure Python

An interactive Dash web app that solves and visualizes complex vehicle routing problems for a simulated NYC medical supply chain, comparing Google OR-Tools optimization against a baseline greedy algorithm.

Universal Chromatic Engine (UCE™) | The Open Standard for Dry-Phase Biological Pigment Stabilization. Deleting liquid-phase logistics and synthetic dyes via a modular, micronized CMYK model.

Swift Logistics Warehouse Bottleneck Assessment

MVP for the Gurgaon supply-chain belt: labels pairs of Industrial Park and Logistics District nodes with a Highway-neighbor metapath whenever they are linked through the regional highway network, so that a construction/repair closure on that stretch of highway can be understood as affecting a specific Factory <-> Logistics supply-chain link.

A revenue optimization system combining Association Rule Mining and Logistics Simulation.

Quantum-inspired logistics optimization using QAOA for efficient routing, resource allocation, and cost minimization.

Solving the Traveling Tournament Problem (TTP) for the Brazilian Championship (Serie B). Genetic Algorithm optimization achieving 10.9% reduction in total travel distance.