Modelling and simulatiom of logistic and transportation systems

The objective of this project is the development of computational models for the simulation of production, transportation and logistics systems. The main technique used is stochastic simulation, also known as Monte Carlo simulation. In this technique, random numbers generated on the computer are used to simulate the variability of real systems.

The main areas of application are the simulation queuing systems and inventory control. These are common in production systems, such as factories, supermarkets, banks, hospitals, stores, drive-thrus, and in logistics and transportation systems, such as ports, airports, railways, bus terminals and road networks.

Algorithms are implemented in the Python language, and in commercial software such as Rockwell Arena and SUMO (Simulation of Urban Mobility).