Applying simulation and analytical models for logistic performance prediction

Different types of models are used to describe the interdependencies between logistic performance measures of production systems in research and practice. The most widely known analytical models in this field are queuing theory models. Simulation, on the other hand, is a widespread technique for the exploration, design and optimisation of complex production systems. Due to the limitations of queuing and simulation models, a mathematical approximation approach developed at the Institute of Production Systems and Logistics is becoming more relevant: the Logistic Operating Curves. The paper introduces the theory of these three modelling methods and compares as well as differentiates them.