Publications

Simulation is an established methodology for planning and evaluating manufacturing and logistics systems. Usually simulations experts conduct experiments for a prior defined goal and by minimizing the number of simulation runs. In contrast to that, data farming describes an approach for using the simulation model as a data generator for broad scale experimentation with a broader coverage of system behaviour. This paper demonstrates how to apply data farming methodologies on simulation models in the context of production and logistics and how to analyse massive amounts of simulation data using data mining and visual analytics.

This article aims to provide a detailed analysis of the concept of economic dependence and exploitative abuse through their evolution in competition law and economics and in European case law. First, while the theoretical roots of these concepts may be found in economic theory, we show that the issue has long been ignored or only reluctantly considered in competition law enforcement, mainly because of a lack of available and reliable economic criteria. Second, although its primary objective was to measure market power in an oligopoly context, we examine how current empirical industrial organization methodology allows a sophisticated measure of the economic dependence among suppliers and distributors. Third, we discuss the possibility of relying on the industrial organization approach to address these issues.