Petri nets (PN) as a base for modelling and simulation (M&S) constitute a combination in constant development, based on advances in computing and in the development of different artificial intelligence techniques; but this advance opens up new lines of research aimed at achieving the new opportunities that appear, demanded from both the scientific community, as a base for other issues, and from industry, as a natural way of development towards efficiency and competitiveness.
Petri nets constitute a well-known formal paradigm for modelling, simulation, analysis and optimization of the dynamic systems that can be seen as discrete, with different interpretations (autonomous, timed, stochastic, …) and abstraction levels (ordinary, generalized, coloured, …). Their double interpretation, graphic/mathematical, allows developing efficiently not only the modelling and simulation of complex concurrent discrete systems, such as production or logistic industrial systems, but also their performance analysis. Much effort has been devoted to formal analysis techniques in PN, which represent a solid theoretical basis that can be applied to industrial systems (state space exploration, model reduction, graph based techniques, mathematical programming, …). But not always these formal techniques can be applied to models in practice, and then simulation can be a powerful tool in order to improve and optimize the system.
Thus, the main topic of this track is the contribution to M&S in Industry through Petri nets based modelling and simulation (at different interpretations and abstraction levels) and the knowledge and optimization of discrete event dynamic systems.