Research Tool

Realistic large-scale multi-echelon supply chain networks consist of thousands of stock keep units (SKUs), which make the analysis by mathematical models problematic. The purpose of this project is to design a cloud computing architecture that facilitates the computational performance of large-scale multi-echelon supply chain network simulations.

This project presents an object-oriented software framework for intermittent demand forecasting and inventory analysis.

The purpose of this project was to change the process structure and culture of a company with world-class supply management concepts to enable it to improve capability and reliability.