October 17-20, 2004
Budapest, Hungary





Simulation Methodologies, Methods and Techniques (code: METH)
Discrete and combined discrete/continuous, simulation methodology; Modeling formalisms (DEVS, DAE, ); Visual modeling; Methods and techniques in simulation and optimization; Validation and verification techniques; Parallel processing in simulation and optimization systems; simulation and optimization tools; Artificial Intelligence in simulation and optimization; Intelligent simulation and optimization in Internet Environments; Multiparadigm or multiparadigm simulation.
There is a special minitrack on: Simulation Optimization

Discrete Simulation Languages and Tools (code: TOOLS)
Discrete simulation languages; Object oriented modeling languages; UML and simulation; Model libraries and modularity; Component-oriented simulation; Special simulation tools and environments; Meta-models and automatic model generation; Graphical simulation environments and simulation software tools; Intelligent simulation environments; Database management of models and results; Java and Web enabled simulations.

Simulation in Business, Economy, Finance and Commerce (code: BUS)
Macroeconomic systems simulations; Simulation of national economies;; Business process engineering and simulation; Computer communication networks in business and finance; Simulation in finance and risk management; Simulation in finance and financial services; Simulation in service industries; Dynamic business objects; Simulation in workflow; management games; Simulation in project management; Simulating information systems and database processes; Geographic information systems; Performance modeling of information systems and data bases; ERP; CRM; data mining.

Microsimulation (code: MICRO)
Simulation and decision support in social policy, industrial policy and regional development; Microsimulation models of the household and enterprise sector; Multi-country models; Macro-micro models; Agent-based microsimulation models.; General framework and software architecture of microsimulation models; Usage of geographic information systems for microsimulation; Verification and validation of microsimulation models.

Simulation in Manufacturing (code: MANUF)
Simulation of Production and Logistic Systems, Virtual Engineering, Digital / Virtual Factories, Virtual Production and Manufacturing Simulation Support Tools, MRP Systems, Process Design and Control, Embedded Intelligent Control Systems, Scheduling, Automotive Simulation, Robotics and Automation, State-of-the-art Applications, Simulation Frameworks, Modeling Architectures, e-Simulation Services

Simulation in Electronics, Computers and Telecom (code: ELEC)
Modeling and simulation of analogue circuits; Modeling and simulation of digital circuits at switch and/or at logic level; Hardware accelerators for circuit-level simulation; Hardware accelerators for logic simulation; Distributed simulation of circuits, components, and systems; Modeling and simulation of computer systems; Fault simulation; Parallel and distributed systems; High-speed networks; Network simulation software; Computer and telecommunication systems; Telecommunication devices and systems; Intelligent telecommunication networks; ISDN; ATM communications.

Simulation in Logistics, Traffic and Transport (code: LOG)
Logistic Supply Chains; Supply Chain Management; Inbound logistics; Materials management; Physical distribution; Production planning and control; Outbond logistics; Simulation of regional logistic systems; Distribution centers; Inventory management; Warehouse decisions; Materials handling and packaging; Logistics network design and facility location; Traffic flows; ulti-modal systems; Air, water, and land transportation; Transit; Transportation modes; City transport; Transportation in logistics; Transportation management; Traffic control; Traffic telematics; Traffic performance; safety.

Alternative Approaches in Simulation Technique:
Methods and Applications (code: ALT)

For many years in simulation technique the time domains analysis was dominating. Primary purpose was to analyze some dynamic nonlinear behavior, and solutions in the time domain played the major and only role, based on classical state space descriptions (in case of continuous processes) or on classical process flow descriptions (in case of discrete event processes).
Today with the help of increased computer power and algebraic and symbolic software tools alternative approaches and solutions can be introduced, supporting or replacing classical time domain analysis.
This section will discuss such alternative modeling and simulation approaches, e.g. cellular automata, pure symbolic or semi-symbolic approaches, variational principles, Markov chains, - in comparison with the classical time domain analysis.
It is intended to have introductory papers to alternative methods and application papers showing the benefits of such approaches - any applications are welcome

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