ISC 2007, June 11-13, 2007, Delft University of Technology, Delft, The Netherlands, Conference Themes

Modelling Methodology

The methodology part of the ISC'2007 conference covers:

Discrete Event Modelling Methodology

Web Based Simulation, Optimization and Response Surfaces, Parallel and Distributed Systems, Virtual Worlds, Methods for Special Applications, Practice, Extensions, XML, Open Source, Model Development, Network Modeling, Distributed Simulation and Industry, Modeling Very Large Scale Systems, Aerospace Operations, Revising Simulations Components, Meta-Knowledge Simulation.

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Discrete Event Analysis Methodology

Advanced Input Modeling, Simulation Optimization, Cross Entropy, Output Analysis, Input Modeling, Simulation Optimization, Input Analysis, Difficult Queueing Problems, New Output Analysis.

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Discrete Simulation Languages and 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, UML and OO Simulation.

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Application Areas

The application section covers: Automation, CAD/CAM/CAE, Defense Electronics, Design Automation, Simulation in industrial Design, Industrial Engineering, Industrial and Process Simulation, Manufacturing, Simulations, Logistics and Transport, Power Plants, Multibody Systems, Aerospace, etc..

Simulation in Manufacturing

The goal of this track is to exchange ideas, experiences, and research results between practitioners and researchers. It shall offer the opportunity not only for presenting work done but also for discussing new challenges emerging in this area. It focuses on innovative applications of simulation in the field of production and operation management. State-of-the-art applications covering any part of the value adding chain and any aggregation level are encouraged. This track will show the efficient utilization of simulation techniques and hybrid approaches for the optimization of manufacturing processes.

This session covers: Computer Assisted Learning and Simulation Trainers, Customizing of ERP Systems using Simulation, Distributed Simulation Approaches, Hierarchical Simulation, Integrating Process Mapping and Simulation, Manufacturing Consulting, Manufacturing Controls, Model Integration Standards Optimization and Evaluation, Simulation Frameworks, Simulation of (Manufacturing) Processes in Virtual Enterprises, Virtual Factories, and Virtual Manufacturing Simulation Support Tools , Web-Based Workflow Modeling and Simulation , MRP systems; CAD; CAM; CIM; Process design; Process control; Embedded intelligent control systems; Scheduling; Automotive simulation; Robotics and automation. Manufacturing Applications Transportation and Material Handling, Best Modeling Methods, Integrating Simulation and Design, Manufacturing Modeling Architectures, Manufacturing Modeling Methods, Simulation of Manufacturing Operations

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Steel Manufacturing Simulation

Steel manufacturing production validation, steel production planning, abrasive surface modelling, surface grinding, profiling and turning processes.

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Simulation in Automotive Systems

Automotive simulation of Car Design, car behaviour, vehicle driver interaction, collision tests, on board diagnostics, vision enhancement and collision warning systems, vehicle dynamics and simulation, off-road vehicle design and modelling, engineering propulsion controls simulation, power train and fluid systems simulation, hydrogen and electric engine simulation, homogeneous charge compression ignition, emissions control, brake simulation

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Race Car Simulation

Aerodynamics simulation, Atmosphere simulation, Lift-Drag Simulation, Wind Tunnel Simulation, Flow Visualization, Computational Fluid Dynamics

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Simulation in Robotics

Robot Systems

Application of Industrial Robots, Service Robots, Control Technology, Development of Mechatronic Products, Innovation Management. Sensor Simulation, Simulation of Natural Environments Simulation of Agent-Environment Interaction /Intelligent Agents, Neural Networks and Simulation, Simulation of Collective Behaviour and Emergent Phenomena, Simulation of Learning and Adaptation Processes, Assessment Criteria and Assessment Methods for Simulators, Quantitative and Qualitative Comparisons between Originals and their Simulations, Simulation of User-System Interaction. Simulating SLAM (Simultaneous Localisation and Mapping) in robotics.

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Robots in Assembly Systems

Assembly Systems and Components, Processes Product Development and Design, Wiring Technology.

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Robots in Technical Production Planning

Technical Production Planning, Device and Equipment Technology, Production processes and Sequences, Information Technology.

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Simulation in Electronics, Computers and Telecommunications

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.

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Simulation in Electronics Manufacturing

Semiconductor Manufacturing Simulation

Recently, the electronics industry has become the largest industry in the world. One important area of this industry is the manufacturing of integrated circuits (IC) on silicon wafers. Semiconductor wafer fabrication facilities (wafer fabs) are complex manufacturing systems that contain hundreds of machines and thousands of lots. Currently, it seems that the improvement of operational processes creates the best opportunity to realize necessary cost reductions. Therefore, the development of efficient planning and control strategies is highly desirable in the semiconductor domain.

In order to create, implement and test the required novel strategies, it is necessary to take new opportunities of information technology into account. Modelling and Simulation are widely accepted tools in planning and production control in wafer fabs because they are able to deal with the huge complexity of modern wafer fabs.

The aim of the session consists in collecting papers from both industry and academia that deal with interesting applications and new methodologies in modelling and simulation of manufacturing systems in the electronics industry.

A Special Call for Papers for this track is linked here .

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Cleanroom Manufacturing

Cleanroom suitability test, microsystem technology, cleaning technology, manufacturing technology for clean environments, information systems.

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Manufacturing Technologies, Information Technology

Information Processing, Metrology and Testing Technology, Production Methods, Rapid Prototyping

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Surface Engineering

Development, optimisation and modelling of coating processes, integrated process development and management, production-orientated equipment, development, integration of coating processes into production, quality concepts for complex coating processes, surface characterization.

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Coating Technology

Simulation Based Scheduling, Supply Chain Planning Semiconductor Manufacturing, Maintenance and Repair, Scheduling and Control and Schedule Evaluation.

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Simulation in Logistics, Traffic, Transport, Port, Airport and Hospital Logistics Simulation

Factory and Logistics Planning

Strategies and Concepts for Production and Logistics, Technical and Organizations Planning of Production and Logistics Systems, Value Stream Mapping, Integrated Factory and Logistics Planning, Innovative Planning Methods, tools and systems.

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Logistics supply chains, inbound logistics, materials management, Manufacturing Supply Chain Management, physical distribution, production planning and control, outbound and inbound logistics, Simulation of regional logistic systems, distribution centres, inventory management, warehousing decisions, materials management, handling and packaging, logistics information systems, information management in logistics systems, logistics network design and facility location, cost modelling.

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Traffic flows, multi-modal systems, transit, transportation modes, urban city transport, transportation in logistics, transportation management, traffic demand, traffic control, traffic telematics, traffic performance, safety, macroscopic, mesoscopic and microscopic simulations;.

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Port Simulation

Bulk Terminals, Container Terminals, Harbour Services, Industrial Facilities, Navigation Lines, Multimodal Transports, Oil Terminals, Passenger Terminals, Railways, Ro-Ro Terminals, Ships and Platforms, Supply Chains and Warehouses, Harbour Management, Safety in Maritime Environments, Vessel Traffic Systems

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Hospital Logistics

Decision support systems in medicine (diagnosis, prognosis, therapeutic, treatment follow-up...) which are based on medical knowledge representation, ontologies and cooperation of different knowledge sources. Organisation of health care units (hospital, ...) which involves management, economics, law, deontology, ethics, social and information technology aspects...f ex. Patient waiting time simulation, Emergency evacuation simulation, Brancardage, hospital occupation simulation and optimization. Healthcare Networks, Modelling of Clinical Environments, Clinical Information Flows, Patient Flows in Hospitals, Wards Planning, Drugs Inventory Management, Logistics Flow, Long and Short Time Tables of Personnel, Utility and Case Analysis of Helicopter Usage, Information and Surveillance Systems.

Simulation in Biology, Medicine and Health Care Management

Health Care Management, Strategic Management & Resource Planning in Health Care, Operational Management in Health Care, Decision Support in Health Care, Disease Management and Emergency and Disaster Organization, Case Studies: Success Stories and Failures.

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Call Centre and Supermarket Logistics

text to follow soon

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Complex Systems Modelling

Design and Simulation, Process Control and Optimization, Information Technology Systems, Space and Airborne Systems, Communication Networks, Cybernetics and Control, Building Engineering and Urban Infrastructures - Nonlinear Systems) Integration of AI Techniques and Simulation, Knowledge Elicitation and Representation for Complex Models, Drawing Understanding and Pattern Recognition, Machine Learning, Neural Networks and Genetic Algorithms, Simulation in Robotics and Automation, Continuous Simulation of Technical Processes, Fuzzy Models in Simulation, Wireless Communication, Mobile Communication Networks, Satellite Communication, LAN and WAN Protocols, Simulation of Switching Equipment, Design and Coding of Communication Handling Software.

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Simulation in Aerospace

Aerospace Simulation Methodology

Low Cost Simulation Environments, Rapid Simulation Prototyping, Simulation Based Design, Simulation of Satellite Navigation, systems (space segment and terrestrial applications) simulation of satellite constellations, real-time hardware-in-the-loop nab-in-the-loop simulation, flight simulation, distributed interactive simulation and HLA standards, Graphical simulation (virtual environments and virtual reality) applied to aerospace. Modelling and Simulation standards, rationalisation efforts, repositories and reuse. Simulation in support of system specification and design, simulation in support of system assembly, integration and testing. Simulation in support of flight software validation, structural dynamics of Pylon Store Coupling, Flutter Prediction, volterra kernels to model nonlinear aeroelasticity.

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Aircraft Simulation

Air Systems Simulation Modelling and Design (Airframe, Wing, Lift Coefficient, Parasitic Drag, Aircraft Stabilization, Impact Dynamics, Flight Controls, Avionics, Fit Control, Landing Gear), Control Surface Shaping, Active wing Morphing Control and Self-repair, Structures technology for future aerospace systems, Aerospace Vehicle Systems Technology (AVST), Aviation Safety Analysis Software within the Intelligent Synthesis Environment, Aviation Systems Capacity, Bio-nanotechnology simulation, Aerospace Propulsion and Power (Ultra Efficient Engine Technology, Hypersonic Craft Simulation, Ramjet Simulation, Aerothermoelastic Effects in Hypersonic Vehicles, Micro Air Vehicles Simulation, Small Aircraft Transportation Systems, Quiet Aircraft and Noise Reduction Technology, CICT Simulation, Vision-Based Autonomous Flight, Aircraft-UAV-UCAV networked flight simulation , Stealth and radar evasion technology, Thrust vectorization simulation. Applications for future flight (f.ex.. Super Jumbos, Air-Taxis, All-electric Aircraft, Scramjets, Flying Wings....)

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Space Flight Simulation

Next generation launchers (f.ex future X-Pathfinder), reusable launch vehicles (RLV), Aerospace Vehicle Systems, Technology, Payload Launch Simulation, Aerospace Autonomous Operations, System studies for future space transport architectures, Rocket propulsion simulation, Space materials and structures, Aerothermodynamics, launcher health management systems, avionics and in-flight experimentation. Space Cryo Electronics, Innovative Concepts and Technologies for lunar exploration (in-situ resource utilization, nuclear propulsion, habitation, nano-technology, modular architecture.

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Marine Simulation

Simulation in ship design, propulsion unit simulation, high speed design, water turbulence simulation, control of supercavitating underwater vehicles. Underwater detection systems simulation.

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Simulation in Industrial and Product Design

Simulation of product design; Planning and control; Reconfigurable responsive computing and process re-engineering; Integrated product and process modelling; Modelling and simulation in virtual global enterprises; Simulation based design; Qualitative and fuzzy modelling and simulation in engineering design; Modal logistics in systems design; Simulation in support of system specification and design.

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Simulation in Engineering Processes

The Modelling in Engineering Processes track focuses on the application of simulation in mechanical and structural engineering. Oscillations and Waves, Stability and Control, Computational Mechanics, Numerical Analysis, Mathematical Methods in Engineering Sciences, Optimization Advanced simulation of dynamic systems, Simulation-based design, Qualitative modelling and simulation in engineering, Fuzzy modelling and simulation, Evolutionary synthesis and evolutionary methods in design, Rapid prototyping, CASE systems in engineering design, Modal Logic systems in design, Simulation in support of system specification and design, Construction Engineering and Project Management.

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Simulation in Energy and Power Systems

Simulators: Real-Time simulation methods, GUI, Advanced modelling tools, Trainees' performance evaluation, Simulator Projects Simulation Studies: Simulation during design, Safety and environmental hazard estimation, Production optimisation. Methodology: Real-time simulation and visualisation tools, Parallel and distributed simulation.

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Simulation in Multibody Systems

General: FE-Methods and Modelling of Flexible Bodies, Non-holonomic Systems and Geometrical Concepts in Multibody Dynamics, Numerical Aspects of Multibody Dynamics , Optimization and Control of Mechanisms , Articulated and Telescopic Multibody Systems , Air, Land and Sea Multibody Systems Applications.

Multibody Systems in Space: Flexible Body Systems, Orbital Injection, Satellite Injection, Rendezvous and Docking of Spacecraft, Simulation of Space Station Construction and Assembly.

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Simulation in Chemical, Petroleum and Mining Engineering

Simulation of Chemical Plants, Flow simulation, Plant control systems, network simulation, geological simulations, drilling simulations, oil transport simulations, mining simulations.

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Simulation in Military and Defense

Simulation and Visualization (2D and 3D visualization of simulations). Advanced concepts and Requirements (simulation of new concepts, requirements development, predicted impacts of technology integration, intelligent systems simulation). Military Entertainment Convergence (wargaming, serious games). Research, Development and Acquisition (Design, development and acquisition for new weapons systems and equipment, Simulation and Modeling for acquisition, requirements, and training (SMART), Simulation-based acquisition). Training, Excercises and Military Operations (simulation in training, simulator/exercise Integration and Management, Mission Planning and Rehearsal, Embedded Training, Assessment. Physical Modelling and Effects (Lethality, vulnerability and survivability, impact and penetration modelling, computational fluid and molecular dynamics, structural and solid mechanics modelling, ballistics and propellant simulation). Entity and System Modelling and Behaviours (human performance modelling, entity behaviours, computer generated forces, agent-based combat modelling). Domains (sea, Land, Air and Space (synthetic environments (f ex.DAWARS, JWARS), virtual realities, surface and sub-surface warfare, unmanned robotic land, sea and aerial vehicle simulation (UAV, UCAV), avionics, flight control, flight simulation, simulation and control for spacecraft). Operations, Command and Control and Interoperability (battle field, battle theatre simulation, simulation during operations, CAI simulation, counterforce operations, airspace management, campaign analysis). Military Networking (network modelling and simulation, network centric warfare, information assurance modelling and simulation, simulations and the Global Information Grid). Terrain Recognition and Analysis Simulation Software, Image Analysis and Image Recognition.

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Virtual Reality and Graphical Simulations in Industrial Applications

Virtual reality and computer graphics simulations applied to industrial applications in production processes and on the factory floor.

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Verification, Validation and Accreditation

The term validation is applied to those processes, which try to determine whether or not a simulation is correct with respect to the "reality". More prosaically, validation is concerned with the question "Are we building the right system?" Verification, on the other hand, seeks to answer the question "Are we building the system right?" Accreditation considers efforts to meet use case criteria. Here the question to answer is "Are the model and the system acceptable for use for a specific purpose?"

This track focuses general modelling aspects: model design methods, model representation forms and languages, model interpretation for verification, efforts and approaches for validation of model itself and as a part of simulation system. Application areas may range from archiving and communication technologies over industrial solutions to scientific systems.

Special attention is paid to formal approaches for verification and validation. Here, algebraic methods for the model constructing and generating as well as semantic dependent model interpreting are considered. In this context, XML-based model specification, transformation, and interpretation techniques are also significant.

The track handles VV&A methodology (VV&A planning, confidence levels, risk estimation, organisation, documentation, standards, cost estimation, technique application, result presentation, subject matter expert selection, fidelity, automation potential) as well as VV&A technology (documentation, CASE-tools, cross checking, requirements specification, knowledge based systems, configuration management, tool overview, simulation environments).

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Simulation and Training

Motivation & Objectives

Highly skilled staff is an essential prerequisite for the safe and effective operation of industrial production systems. Simulation-based training plays an increasingly important role in qualification of plant personnel. In specific sectors such as aerospace or power stations, training simulators have already been successfully employed for many years. Latest developments in industrial information technology as well as the introduction of virtual product and process engineering provide a new technological basis for the cost-effective implementation of training simulators. Therefore, in near future the general spread of these technology in a variety of industrial sectors and applications is expected. Today ?s best practice, latest developments, and future concepts of simulation-based training in industry will be presented.


Training simulator technology. Scenarios and procedures for operator training. Modelling approaches, tools and virtual environments for training. e-Training in distributed environments. HMI and cognitive performance. Certification and standardisation issues. Industrial applications and best practice. Requirements on R&D.

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The Future of Industrial Simulation: Roundtable

Simulation Standards, Future of Simulation Software, What's Virtually Possible, Real-Time Control, Equipment Interface, Supply Chain Opportunities, Customer Focus, Making Simulation relevant.

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