Using Big Data for the Optimization of Internal Supply Chains of Multinational Companies
In the modern global economy the rise of globalization accentuates the problems of effective management of international companies. The models of after tax profit maximization are widely studied. There are several approaches to this problem. We point out their shortcomings and propose an approach based on the graph of production and logistics system of the company. This approach of model formation allows to generate models for companies with any number of stages and with any number of distribution centers in the supply chain. We showcase the platform on which the future model can be realized.