Conceptual Modeling (CM) is a fundamental step in a simulation project. Nevertheless, it is only recently that structured approaches towards the definition and formulation of conceptual models have gained importance in the Discrete Event Simulation (DES) community. As a consequence, frameworks and guidelines for applying CM to DES have emerged and discussion of CM for DES is increasing. However...

Supply chains are difficult to plan because they involve complex relationships and dynamically changing variables that influence supply chain performance. In this paper, discrete-event simulation (DES) is evaluated in order to identify its appropriateness as a technique in supply chain planning. A DES model was developed as part of a case study, and is used in this paper to determine whether DE...

Digital twins (DT) form part of the Industry 4.0 revolution within manufacturing and related industries. A DT is a digital model (DM) real system that features continuous automated synchronisation feedback optimisations between domains. core technology for predictive capabilities from discrete event simulation (DES). The modelling cycle developing analysing DES models significantly different co...

In this thesis, stability of a class of discrete event systems (DES) is studied using the Lyapunov stability theoretic approach. The DES is modeled by an automata model with (possibly) an infinite number of states. It is assumed that more than one event can occur simultaneously. In fact, it is assumed that an enabled uncontrollable event can occur together with an enabled controllable event. Fi...

We propose a theory of abstraction of discrete-event systems (DES) formulated at the semantic level, i.e., as a function that maps event traces at the original (ground) level to traces at the abstract level. We study how diagnosis of DES can be performed using an abstract model, and under which conditions this process leads to a correct solution (i.e., a set of alternative diagnoses that includ...

To increase the availability of automated production systems, it is crucial to avoid unexpected downtimes.Model-based fault detection where the current evolution of the system is compared with its “ideal”evolution represented by a model should enable detecting faulty modes that can lead to a failure.This thesis is concerned with the construction of a fault-free behavioral model ...

Problem statement: The heterogeneity in the choice of simulation platforms for real time scheduling stands behind the difficulty of developing a common simulation environment. A Discrete Event Simulation (DES) for a real time scheduling domain encompassing event definition, time advancing mechanism and scheduler has yet to be developed. Approach: The study focused on the proposed and the develo...

Model-based diagnosis of discrete event systems (DESs) is more and more active in artificial intelligence. However, there has been always a very restrictive assumption in the previous works that the model of a given DES is complete, including all nominal behaviors and all possible failure behaviors of the system. In order to relax this so restrictive assumption, in this paper, model-based diagn...

Both system dynamics (SD) and discrete-event simulation (DES) are used to help understand and explain puzzling real world dynamics. But what are the similarities and differences between these two approaches and which should be used in a specific circumstance? These are questions few have ventured to answer. In this research the two approaches are compared by developing an SD and DES model of th...