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.
Partnerships for Innovative Logistics Solutions. 