Due to the close relation between object-oriented modelling and the domain of discrete event simulation (DES) the Unified Modelling Language (UML) has in the past been frequently applied for simulation modelling. However, most of this work is restricted to particular application domains or diagram types and based on the UML 1.x versions that had some drawbacks concerning dynamic modelling and f...

A Discrete Event System (DES) simulation and optimization model is proposed for the ambulance allocation problem in an Emergency Medical Service (EMS) system. The accuracy of was improved by estimation input parameters using Poisson mixture Expectation Maximization Algorithm. results were proven Mann–Whitney Kolmogorov–Smirnov tests. DES run OptQuest program embedded Arena software. response ti...

A modular approach for efficiently dealing with multiple tasks and multiple specifications in the supervisory control of composite discrete-event systems (DES) is presented. Colored marking generators are used to distinguish classes of tasks in supervisory control of DES, which allows the synthesis of optimal supervisors that are nonblocking with respect to multiple control objectives. A local ...

Discrete event systems (DES) are an important subclass of systems (in systems theory). They have been used, particularly in industry, to analyze and model a wide variety of real systems, such as production systems, computer systems, traffic systems, and hybrid systems. Our work explores an extension of DES with an emphasis on stochastic processes, commonly called stochastic discrete event syste...

The modelling and simulation of sophisticated technical systems is a demanding task. On the one hand, the physical part consists of a large number of subsystems which exhibit predominantly continuous dynamics, sometimes with (infrequent) discontinuities. On the other hand, the distributed computerised control systems constitute complex discretetime and discrete-event systems that require comple...

In order to make it possible to effectively represent deterministic uncertainties and vagueness as well as the human subjective observation and judgement inherent to many real-world problems, especially those in biomedicine, we introduce, in this paper, fuzzy states and fuzzy events and generalize (crisp) discrete event systems (DES) to fuzzy DES. The largely graph-based current framework of th...

The discrete-event system (DES) behavior of physical plants is often modelled as regular languages that can be realized by deterministic finite state automata (DFSA). The concept and construction of quantitative measures of regular languages have been recently reported in literature, and major applications of the language measure are: quantitative evaluation of the discrete-event dynamic behavi...

Today, discrete-event simulation (DES) use in the manufacturing industry has become widespread, but far from all companies use this technology.Often simulation is used on a `one-shot' basis only, or as a standalone tool, reflecting a low level of integration. At the same time, a majority of companies do not use simulation at all. It is argued here that these companies lack methodologies for ado...

This article is a brief exposure of the process approach to a newly emerging area called "discrete event systems" in control theory and summarizes some of the recent developments in this area. Discrete event systems is an area of research that is developing within the interstices of computer, control and communication sciences. The basic direction of research addresses issues in the analysis an...

This project seeks funding to support the research on expanding the knowledge of the software development process within the corporate environment in conjunction with QLabs. Software development today has a well defined workflow that can be optimized and explored through discrete event simulation in order to maximize resources and total profit of the process as a whole. The software development...