This paper deals with a tutorial study of applied system simulation. We present the applications of system simulation, simulation types, and elaborate on discrete-event simulation, DES. Then we explain the level of details needed in a simulation model. We investigate the signi®cance of simulation experiments and explain in detail the standard methodology used in the development of a simulation ...

This paper gives a decentralized approach to the problem of failure prognosis in the framework of fuzzy discrete event systems (FDES). A notion of co-predictability is formalized for decentralized prognosis of FDESs, where several local agents with fuzzy observability rather than crisp observability are used in the prognosis task. An FDES is said to be co-predictable if each faulty event can be...

in this paper, a discrete event simulation model of iranian railway system is used for analyzing performance of the system in freight sector. the model analysis shows more sensitivity of the system on loading and unloading facilities than on number of wagons and locomotives. system optimization through simulation optimization technique, shows that more than 4% of all wagons available in the net...

 Artifact-Centric Business Process Synthesis Framework Using Discrete Event Systems Theory Yin Wang, Ahmed Nazeem HP Laboratories HPL-2011-40 Business Process Synthesis, Service Composition, Artifact, Supervisory Control, Discrete Event Systems Artifact-centric design principle promotes business artifacts to the central role. Services in an artifact system are operations that change the state ...

Many discrete event systems (DESs) such as manufacturing systems, database management systems, communication networks, traffic systems, etc., can be modeled as input-output discrete event systems (I/O DESs). In this paper we formulate and study the problem of stable realization of such systems in the logical setting. Given an input and an output language describing the sequences of events that ...

According to Shapiro (2007), simulation models permit the study of the dynamic behaviour of a supply chain. Simulation models can describe how all parts of the supply chain will operate over time in respect to a set of parameters and policies defined by managers/analysts. Understanding the dynamics of the supply chain in a safe computer environment is the main value of computer simulation model...

Many discrete event systems (DESs) such as manufacturing systems, data base management systems, communication networks, tra c systems, etc., can be modeled as input-output discrete event systems (I/O DESs). In this paper we formulate and study the problem of stable realization of such systems in the logical setting. Given an input and an output language describing the sequences of events that o...

Many discrete event systems (DESs) such as manufacturing systems, database management systems, communication networks, tra c systems, etc., can be modeled as input-output discrete event systems (I/O DESs). In this paper we formulate and study the problem of stable realization of such systems in the logical setting. Given an input and an output language describing the sequences of events that oc...

A model combining Discrete Event System (DES) and Multi-Agent System (MAS) is proposed to simulate a real-time job shop so that it can work as a test bed to systematically study the performance of control rules and algorithms in dynamic job shop scheduling. A definition of a generic job shop is given considering dynamic events, shop floor layout and the Material Handling System (MHS). It is fir...