Modeling and optimizing large-scale production-level transportation systems

Large-scale economic modeling is becoming a reality for major businesses and it pushes their analytic and planning departments into very complicated areas of big data analytics and control. At the same time, it demands research communities in academia and else to develop adequate tools to operate models with millions of variables and gigabytes of data, where traditional off-the-shelf solutions fail. In this paper, we describe our experience with one rather common high-dimensional logistic problem and some of the mathematical and computational ideas we pursue to deal with it. Tab. 3, bibliogr. 21.