Call for Papers and Other Useful Academic Information

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ISC2009
Loughborough, United Kingdom
June 1-3, 2009
FIRST CALL FOR PAPERS
7th Annual
INDUSTRIAL SIMULATION CONFERENCE 2009
Organised by
The European Technology Institute
and Sponsored by
EUROSIS
Loughborough University
Hosted by
Quality Hotel Lougborough
Co-Sponsored by
ENSAIT-UPV
KFKI-Ghent University
Delft University of Technology
MOBIUS-CREAX
For latest information see:

http://www.eurosis.org/cms/?q=3Dnode/905

AIM OF ISC’2009
The aim of the 7th annual Industrial Simulation Conference (ISC’2009,is t=
o give a complete overview of this year’s industrial simulationrelated re=
search and to provide an annual status report on present dayindustrial si=
mulation research within the European Community and therest of the world =
in line with European industrial research projects.
With the integration of artificial intelligence, agents and othermodellin=
g techniques, simulation has become an effective andappropriate decision =
support tool in industry. The exchange oftechniques and ideas among unive=
rsities and industry, which support theintegration of simulation in the e=
veryday workplace, is the basicpremise at the heart of ISC’2009 conferenc=
e.
The ISC’2009 conference consists of four major parts; the firstpart conce=
rns itself with discrete event simulation methodology, thesecond and bigg=
est part with industrial simulation applications, athird one with industr=
ial themed workshops, and last but not least thefourth part, namely the p=
oster sessions for students. The whole is thenillustrated by an exhibitio=
n.
This year’s conference will feature a number of new themes, which have be=
en proposed by Loughborough University.
The methodologies section covers: Modelling and AnalysisMethodologies, La=
nguages and Tools, Artificial Intelligence, KnowledgeBased Simulation, Vi=
rtual Reality, Synthetic Environments, Petri Netsand Performance Analysis=
related to industrial applications

MODELLING METHODOLOGY
Web Based Simulation, Optimization and Response Surfaces, Paralleland Dis=
tributed Systems, Virtual Worlds, Methods for SpecialApplications, Practi=
ce, Extensions, XML, Open Source, ModelDevelopment, Network Modeling, Dis=
tributed Simulation and Industry,Modeling Very Large Scale Systems, Aeros=
pace Operations, RevisingSimulations Components, Meta-Knowledge Simulatio=
n.
DISCRETE EVENT ANALYSIS METHODOLOGY
Advanced Input Modeling, Simulation Optimization, Cross Entropy,Output An=
alysis, Input Modeling, Simulation Optimization, InputAnalysis, Difficult=
Queueing Problems, New Output Analysis.
DISCRETE SIMULATION LANGUAGES AND TOOLS
Discrete simulation languages; Object oriented modeling languages;UML and=
simulation; Model libraries and modularity; Component-orientedsimulation=
; Special simulation tools and environments; Meta-models andautomatic mod=
el generation; Graphical simulation environments andsimulation software t=
ools; Intelligent simulation environments;Database management of models a=
nd results; Java and Web enabledsimulations, UML and OO Simulation.
AMBIENT INTELLIGENCE AND SIMULATION
Ambient Intelligence is an emerging research area that hasreceived much a=
ttention in recent years, concerned with theimplications of embedding com=
puting devices into the environment, andhow human and artificial agents c=
an interact in such technologicalcontexts. The infrastructure for ambient=
intelligence is coming online, Computational resources are becoming chea=
per, while ubiquitousnetwork access has started to appear.
Different devices equipped with simple intelligence and the abilitiesto s=
ense, communicate and act, will be unremarkable features of ourworld. The=
refore, one takes the view that ambient intelligence isimminent and inevi=
table and it may be of great interest in simulationscenarios.
APPLICATIONS AREA
The application section covers: Automation, CAD/CAM/CAE, DefenseElectroni=
cs, Design Automation, Simulation in industrial Design,Industrial Enginee=
ring, Industrial and Process Simulation,Manufacturing, Simulations, Logis=
tics and Transport, Power Plants,Multibody Systems, Aerospace, etc..
SIMULATION IN MANUFACTURING
The goal of this track is to exchange ideas, experiences, andresearch res=
ults between practitioners and researchers. It shall offerthe opportunity=
not only for presenting work done but also fordiscussing new challenges =
emerging in this area. It focuses oninnovative applications of simulation=
in the field of production andoperation management. State-of-the-art app=
lications covering any partof the value adding chain and any aggregation =
level are encouraged.This track will show the efficient utilization of si=
mulation techniquesand hybrid approaches for the optimization of manufact=
uring processes.
This session covers: Computer Assisted Learning and SimulationTrainers, C=
ustomizing of ERP Systems using Simulation, DistributedSimulation Approac=
hes, Hierarchical Simulation, Integrating ProcessMapping and Simulation, =
Manufacturing Consulting, ManufacturingControls, Model Integration Standa=
rds Optimization and Evaluation,Simulation Frameworks, Simulation of (Man=
ufacturing) Processes inVirtual Enterprises, Virtual Factories, and Virtu=
al ManufacturingSimulation Support Tools , Web-Based Workflow Modeling an=
d Simulation ,MRP systems; CAD; CAM; CIM; Process design; Process control=
; Embeddedintelligent control systems; Scheduling; Automotive simulation;=
Robotics and automation. Manufacturing Applications Transportation andMat=
erial Handling, Best Modeling Methods, Integrating Simulation andDesign, =
Manufacturing Modeling Architectures, Manufacturing ModelingMethods, Simu=
lation of Manufacturing Operations, Optical Engineeringand Thermofluids, =
Mechanotronics.
STEEL MANUFACTURING SIMULATION
Steel manufacturing production validation, steel productionplanning, abra=
sive surface modelling, surface grinding, profiling andturning processes.=

SIMULATION IN AUTOMOTIVE SYSTEMS
Automotive simulation of Car Design, car behaviour, vehicle driverinterac=
tion, collision tests, on board diagnostics, vision enhancementand collis=
ion warning systems, vehicle dynamics and simulation,off-road vehicle des=
ign and modelling, engineering propulsion controlssimulation, power train=
and fluid systems simulation, hydrogen andelectric engine simulation, ho=
mogeneous charge compression ignition,emissions control, brake simulation=

RACE CAR SIMULATION
Aerodynamics simulation, Atmosphere simulation, Lift-DragSimulation, Wind=
Tunnel Simulation, Flow Visualization, ComputationalFluid Dynamics
SIMULATION IN ROBOTICS
Robot Systems
Application of Industrial Robots, ServiceRobots, Control Technology, Deve=
lopment of Mechatronic Products,Innovation Management. Sensor Simulation,=
Simulation of NaturalEnvironments Simulation of Agent-Environment Intera=
ction /IntelligentAgents, Neural Networks and Simulation, Simulation of C=
ollectiveBehaviour and Emergent Phenomena, Simulation of Learning and Ada=
ptationProcesses, Assessment Criteria and Assessment Methods for Simulato=
rs,Quantitative and Qualitative Comparisons between Originals and theirSi=
mulations, Simulation of User-System Interaction. Simulating SLAM(Simulta=
neous Localisation and Mapping) in robotics.
Robots in Assembly Systems
Assembly Systems and Components, Processes Product Development and Design=
, Wiring Technology.
Robots in Technical Production Planning
Technical Production Planning, Device and Equipment Technology, Productio=
n processes and Sequences, Information Technology
SIMULATION IN ELECTRONICS, COMPUTERS AND TELECOMMUNICATIONS
Modeling and simulation of analogue circuits; Modeling and simulationof d=
igital circuits at switch and/or at logic level; Hardwareaccelerators for=
circuit-level simulation; Hardware accelerators forlogic simulation; Dis=
tributed simulation of circuits, components, andsystems; Modeling and sim=
ulation of computer systems; Fault simulation;Parallel and distributed sy=
stems; High-speed networks; Networksimulation software; Computer and tele=
communication systems;Telecommunication devices and systems; Intelligent =
telecommunicationnetworks; ISDN; ATM communications.
SIMULATION IN ELECTRONICS MANUFACTURING
Semiconductor Manufacturing Simulation
Recently, theelectronics industry has become the largest industry in the =
world. Oneimportant area of this industry is the manufacturing of integra=
tedcircuits (IC) on silicon wafers. Semiconductor wafer fabricationfacili=
ties (wafer fabs) are complex manufacturing systems that containhundreds =
of machines and thousands of lots. Currently, it seems thatthe improvemen=
t of operational processes creates the best opportunityto realize necessa=
ry cost reductions. Therefore, the development ofefficient planning and c=
ontrol strategies is highly desirable in thesemiconductor domain.
In order to create, implement and test the required novel strategies,it i=
s necessary to take new opportunities of information technologyinto accou=
nt. Modelling and Simulation are widely accepted tools inplanning and pro=
duction control in wafer fabs because they are able todeal with the huge =
complexity of modern wafer fabs.
The aim of the session consists in collecting papers from both industryan=
d academia that deal with interesting applications and newmethodologies i=
n modelling and simulation of manufacturing systems inthe electronics ind=
ustry.
Cleanroom Manufacturing
(Cleanroom suitability test, microsystem technology, cleaningtechnology, =
manufacturing technology for clean environments,information systems)
Manufacturing Technologies, Information Technology
(Information Processing, Metrology and Testing Technology, Production Met=
hods, Rapid Prototyping)
Surface Engineering
(Development, optimisation and modelling of coating processes,integrated =
process development and management, production-orientatedequipment, devel=
opment, integration of coating processes intoproduction, quality concepts=
for complex coating processes, surfacecharacterization)
Coating Technology
Simulation Based Scheduling, (Supply Chain Planning SemiconductorManufact=
uring, Maintenance and Repair, Scheduling and Control andSchedule Evaluat=
ion)
SIMULATION IN COMPUTER SCIENCE
Systems research, Operating systems, File System, Storage.
SIMULATION IN LOGISTICS, TRAFFIC, TRANSPORT, PORT, AIRPORT AND HOSPITAL L=
OGISTICS SIMULATION
Factory and Logistics Planning
Strategies and Concepts for Production and Logistics, Technical andOrgani=
zations Planning of Production and Logistics Systems, ValueStream Mapping=
, Integrated Factory and Logistics Planning, InnovativePlanning Methods, =
tools and systems
Logistics: logistics supply chains, inbound logistics, materialsmanagemen=
t, Manufacturing Supply Chain Management, physicaldistribution, productio=
n planning and control, outbound and inboundlogistics, Simulation of regi=
onal logistic systems, distributioncentres, inventory management, warehou=
sing decisions, materialsmanagement, handling and packaging, logistics in=
formation systems,information management in logistics systems, logistics =
network designand facility location, cost modelling, information systems =
(networkedManufacturing, Enterprise design and Control, etc=E2=80=A6)
Traffic: traffic flows, multi-modal systems, transit,transportation modes=
, urban city transport, transportation inlogistics, transportation manage=
ment, traffic demand, traffic control,traffic telematics, traffic perform=
ance, safety, macroscopic,mesoscopic and microscopic simulations;
Port Simulation (Bulk Terminals, Container Terminals, HarbourServices, In=
dustrial Facilities, Navigation Lines, MultimodalTransports, Oil Terminal=
s, Passenger Terminals, Railways, Ro-RoTerminals, Ships and Platforms, Su=
pply Chains and Warehouses, HarbourManagement, Safety in Maritime Environ=
ments, Vessel Traffic Systems)
Airport Simulation: Airport logistics simulation, passengertraffic throug=
hput simulation, Aircraft traffic and airport capacityoptimization.
Hospital Logistics
Decision support systems in medicine(diagnosis, prognosis, therapeutic, t=
reatment follow-up…) which arebased on medical knowledge representation=
, ontologies and cooperationof different knowledge sources. Organisation =
of health care units(hospital, …) which involves management, economics,=
law, deontology,ethics, social and information technology aspects…f ex=
. Patientwaiting time simulation, Emergency evacuation simulation, Branca=
rdage,hospital occupation simulation and optimization. Healthcare Network=
s,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 andCase Analysis o=
f Helicopter Usage, Information and SurveillanceSystems.
Simulation in Biology, Medicine and Health Care Management
HealthCare Management, Strategic Management & Resource Planning in Health=
Care, Operational Management in Health Care, Decision Support in HealthCa=
re, Disease Management and Emergency and Disaster Organization, CaseStudi=
es: Success Stories and Failures, Medical Informatics, MedicalInstruments=
and Devices, Fluid Flow and Transport Processes inBiological Systems, Dr=
ug Delivery Systems.
Call Centre and Supermarket Logistics
Using stochastic modelsto plan call center operations, schedule call cent=
er staff efficiently,and analyze projected performance is not a new pheno=
menon. However,several factors have recently conspired to increase demand=
for callcenter simulation analysis.
Increasing complexity in call traffic, coupled with the almostubiquitous =
use of Skill-Based Routing. Rapid change in operations dueto increased me=
rger and acquisition activity, business volatility,outsourcing options, a=
nd multiple customer channels (inbound phone,outbound phone, email,web, c=
hat) to support. Cheaper, faster desktopcomputing, combined with speciali=
zed call center simulationapplications that are now commercially availabl=
e.
COMPLEX SYSTEMS MODELLING
(- Design and Simulation, – Process Control and Optimisation, -Informatio=
n Technology Systems, – Space and Airborne Systems -Communication Network=
s, – Cybernetics and Control, – BuildingEngineering and Urban Infrastruct=
ures – Nonlinear Systems) Integrationof AI Techniques and Simulation, Kno=
wledge Elicitation andRepresentation for Complex Models, Drawing Understa=
nding and PatternRecognition, Machine Learning, Neural Networks and Genet=
ic Algorithms,Simulation in Robotics and Automation, Continuous Simulatio=
n ofTechnical Processes, Fuzzy Models in Simulation, WirelessCommunicatio=
n, Mobile Communication Networks, Satellite Communication,LAN and WAN Pro=
tocols, Simulation of Switching Equipment, Design andCoding of Communicat=
ion Handling Software
SIMULATION IN AEROSPACE
Low Cost Simulation Environments, Rapid Simulation Prototyping,Simulation=
Based Design, Simulation of Satellite Navigation, systems(space segment =
and terrestrial applications) simulation of satelliteconstellations, real=
-time hardware-in-the-loop nab-in-the-loopsimulation, flight simulation, =
distributed interactive simulation andHLA standards, Graphical simulation=
(virtual environments and virtualreality) applied to aerospace. Modellin=
g and Simulation standards,rationalisation efforts, repositories and reus=
e. Simulation in supportof system specification and design, simulation in=
support of systemassembly, integration and testing. Simulation in suppor=
t of flightsoftware validation, structural dynamics of Pylon Store Coupli=
ng,Flutter Prediction, volterra kernels to model nonlinear aero-elasticit=
y.
Aircraft Simulation:
Air Systems Simulation Modelling and Design (Airframe, Wing, LiftCoeffici=
ent, Parasitic Drag, Aircraft Stabilization, Aero-Acoustics andVibration,=
Impact Dynamics, Flight Controls and Aerodynamics, Avionics,Fit Control,=
Landing Gear, Large Eddy Simulation), Control SurfaceShaping, Active win=
g Morphing Control and Self-repair, Structurestechnology for future aeros=
pace systems, Aerospace Vehicle SystemsTechnology (AVST), Aviation Safety=
Analysis Software within theIntelligent Synthesis Environment, Aviation =
Systems Capacity,Bio-nanotechnology simulation, Aerospace Propulsion and =
Power(Combustion and Energy Conversion, Fluid Flow and Mass Transportbeha=
viour in Engines, Ultra Efficient Engine Technology, Fuel Cells,Hypersoni=
c Craft Simulation, Ramjet Simulation, AerothermoelasticEffects in Hypers=
onic Vehicles, Micro Air Vehicles Simulation, SmallAircraft Transportatio=
n Systems, Quiet Aircraft and Noise ReductionTechnology, CICT Simulation,=
Vision-Based Autonomous Flight,Aircraft-UAV-UCAV networked flight simula=
tion , Stealth and radarevasion technology, Thrust vectorization simulati=
on. Applications forfuture flight (f.ex.. Super Jumbos, Air-Taxis, All-el=
ectric Aircraft,Scramjets, Flying Wings….), Decreasing Systems Risk and=
ImprovingReliablity
Space flight Simulation:
Next generation launchers (f.ex future X-Pathfinder), reusable launchvehi=
cles (RLV), Aerospace Vehicle Systems, Technology, Payload LaunchSimulati=
on, Aerospace Autonomous Operations, System studies for futurespace trans=
port architectures, Rocket propulsion simulation, Spacematerials and stru=
ctures, Aerothermodynamics, launcher healthmanagement systems, avionics a=
nd in-flight experimentation. Space CryoElectronics, Innovative Concepts =
and Technologies for lunar exploration(in-situ resource utilization, nucl=
ear propulsion, habitation,nano-technology, modular architecture.
MARINE SIMULATION
Simulation in Ship design, ship propulsion unit simulation,simulation for=
high speed design, water turbulence simulation,submarine simulation, con=
trol of supercavitating underwater vehicles.Underwater detection systems =
simulation, Ship Handling Simulation,Navigation and Radar Simulation, Bri=
dge Team Management Simulation,Engine Room Simulation, Liquid Cargo Handl=
ing Simulation, CraneSimulation. Maritime Simulator Standards
SIMULATION IN INDUSTRIAL PRODUCT DESIGN
Simulation of product design; Planning and control; Reconfigurablerespons=
ive computing and process re-engineering; Integrated product andprocess m=
odelling; Modelling and simulation in virtual globalenterprises; Simulati=
on based design; Qualitative and fuzzy modellingand simulation in enginee=
ring design; Modal logistics in systemsdesign; Simulation in support of s=
ystem specification and design.
SIMULATION IN ENGINEERING PROCESSES
The Modelling in Engineering Processes track focuses on theapplication of=
simulation in mechanical and structural engineering.Oscilations and Wave=
s, Stability and Control, Computational Mechanics,Numerical Analysis, Mat=
hematical Methods in Engineering Sciences,Optimization Advanced simulatio=
n of dynamic systems, Simulation-baseddesign, Qualitative modelling and s=
imulation in engineering, Fuzzymodelling and simulation, Evolutionary syn=
thesis and evolutionarymethods in design, Rapid prototyping, CASE systems=
in engineeringdesign, Modal Logic systems in design, Simulation in suppo=
rt of systemspecification and design, Construction Engineering and Projec=
tManagement
SIMULATION IN CIVIL AND BUILDING ENGINEERING
Construction Technologies, Flooding and Erosion, InfrastructureEngineerin=
g, Measurement and Control of Building Performance, SolidWaste Management=
, Subsurface flow and transport and Water Supplies.
SIMULATION IN ENERGY AND POWER SYSTEMS
Simulators: Real-Time simulation methods, GUI, Advanced modellingtools, T=
rainees’ performance evaluation, Simulator Projects SimulationStudies: Si=
mulation during design, Safety and environmental hazardestimation, Produc=
tion optimisation. Methodology: Real-time simulationand visualisation too=
ls, Parallel and distributed simulation, FossilFuel and Nuclear Energy Si=
mulation, Solar Power Simulation, Windturbine simulation, Wave Energy Sim=
ulation
SIMULATION IN MULTIBODY SYSTEMS
General: FE-Methods and Modelling of Flexible Bodies,Non-holonomic System=
s and Geometrical Concepts in Multibody Dynamics,Numerical Aspects of Mul=
tibody Dynamics , Optimization and Control ofMechanisms , Articulated and=
Telescopic Multibody Systems, Air, Landand Sea Multibody Systems Applica=
tions
Special Sessions on: Multibody Systems in Space: Flexible Body Systems,Or=
bital Injection, Satellite Injection, Rendezvous and Docking ofSpacecraft=
, Simulation of Space Station Construction and Assembly
SIMULATION IN CHEMICAL AND PETROLEUM ENGINEERING AND THE MINING INDUSTRY
Adsorptionprocesses, Colloidal processes, Control and Optimization Method=
s inChemical Engineering, Crystallization processes, Electrochemicalproce=
sses,Ion Exchange, Membrane Seperation, Micro-fluidics in Chemicalprocess=
es, Multiphase Reactors, Particle Technology, PolymerisationReactions, Sc=
ale up in Chemical Processes and Fuel Cells.
Simulation of Chemical Plants, Flow simulation, Plant control systems,net=
work simulation, geological simulations, drilling simulations, oiltranspo=
rt simulations, mining simulations.
SIMULATION IN MILITARY AND DEFENSE
Simulation and Visualization (2D and 3D visualization ofsimulations). Adv=
anced concepts and Requirements (simulation of newconcepts, requirements =
development, predicted impacts of technologyintegration, intelligent syst=
ems simulation). Military EntertainmentConvergence (wargaming, serious ga=
mes). Research, Development andAcquisition (Design, development and acqui=
sition for new weaponssystems and equipment, Simulation and Modeling for =
acquisition,requirements, and training (SMART), Simulation-based acquisit=
ion).Training, Excercises and Military Operations (simulation in training=
,simulator/exercise Integration and Management, Mission Planning andRehea=
rsal, Embedded Training, Assessment. Physical Modelling andEffects (Letha=
lity, vulnerability and survivability, impact andpenetration modelling, c=
omputational fluid and molecular dynamics,structural and solid mechanics =
modelling, ballistics and propellantsimulation). Entity and System Modell=
ing and Behaviours (humanperformance modelling, entity behaviours, comput=
er generated forces,agent-based combat modelling, flock modelling and beh=
aviour). Domains(sea, Land, Air and Space (synthetic environments (f ex.D=
AWARS, JWARS),virtual realities, surface and sub-surface warfare, unmanne=
d roboticland, sea and aerial vehicle simulation (UAV, UCAV), avionics, f=
lightcontrol, flight simulation, simulation and control for spacecraft).O=
perations, Command and Control and Interoperability (battle field,battle =
theatre simulation, simulation during operations, CAIsimulation, counterf=
orce operations, airspace management, campaignanalysis). Military Network=
ing (network modelling and simulation,network centric warfare, informatio=
n assurance modelling andsimulation, simulations and the Global Informati=
on Grid). TerrainRecognition and Analysis Simulation Software, Image Anal=
ysis and ImageRecognition, Asymmetric Warfare and threats.
VERIFICATION, VALIDATION AND ACCREDITATION
The term validation is applied to those processes, which seek todetermine=
whether or not a simulation is correct with respect to the”real” system.=
More prosaically, validation is concerned with thequestion “Are we build=
ing the right system?”. Verification, on theother hand, seeks to answer t=
he question “Are we building the systemright?”
This track is interested in simulation validation methodologies:methodolo=
gies to support the process of constructing a simulation modeland then ai=
ding the validation of this model to the “real” system.These system model=
s can be discrete, continuous or hybrid. Applicationareas range from info=
rmation systems to engineering and scientificsystems. Relevant parameters=
include performance, properties given byformal or informal requirements,=
exception handling etc. In thisconference track, contributions from all =
areas of simulation andvalidation are solicited. Topics include, but are =
not limited to thosegiven below.
VV&A methodology (effective VV&A, VV&A planning, confidencelevels, risk e=
stimation, organisation, documentation, standards, costestimation, techni=
que application, result presentation, subject matterexpert (SME) selectio=
n, formal model specification, fidelity,automation potential), VV&A techn=
ology (documentation, CASE-tools,cross checking, requirements specificati=
on, knowledge based systems,configuration management, tool overview, simu=
lation environments)
SIMULATION AND TRAINING
Highly skilled staff is an essential prerequisite for the safe andeffecti=
ve operation of industrial production systems. Simulation-basedtraining p=
lays an increasingly important role in qualification of plantpersonnel. I=
n specific sectors such as aerospace or power stations,training simulator=
s have already been successfully employed for manyyears. Latest developme=
nts in industrial information technology as wellas the introduction of vi=
rtual product and process engineering providea new technological basis fo=
r the cost-effective implementation oftraining simulators. Therefore, in =
near future the general spread ofthese technology in a variety of industr=
ial sectors and applications isexpected. Today =C2=B4s best practice, lat=
est developments, and futureconcepts of simulation-based training in indu=
stry will be presented.
Topics
- 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
VIRTUAL REALITY AND GRAPHICAL SIMULATIONS IN INDUSTRIAL APPLICATIONS
Virtual reality and computer graphics simulations applied to industrial a=
pplications.
THE FUTURE OF INDUSTRIAL SIMULATION ROUNDTABLE
Simulation Standards, Future of Simulation Software, What’s VirtuallyPoss=
ible, Real-Time Control, Equipment Interface, Supply ChainOpportunities, =
Customer Focus, Making Simulation relevant
WORKSHOPS
WORKSHOP ON MODELLING AND SIMULATION IN THE TEXTILE INDUSTRY
Textileprocess simulation : Modelling and simulation in clothing, dyeing =
andfinishing process simulation, production units simulation, textilelogi=
stics, supply chain modelling, spinning mill, spinning simulation,sales f=
orecasting, weaving and knitting simulation=E2=80=A6
Textile products and materials simulations : Textile productssimulation a=
nd textile chemistry : composite materials, dynamicalbehaviour of textile=
structures, fireproofing simulation, flameretardant products, body morph=
ology, new textiles properties evaluationby simulation, smart and communi=
cating clothes, chemical processessimulation in textile, virtual clothing=
,=E2=80=A6
SIMULATION AND MODELLING IN SPORTS ENGINEERING
The workshop will cover simulation and modelling in:
* Behaviour, ergonomics, biomechanics
* Physical Activity and Well-Being
* Performance Enhancement and Sports Engineering
* Sports Dynamics
* Applications such as:
o Wearables (intelligent clothes, bioshirts and footwear)
o Mobile Motion Tracking Services
o Sensor Networks
o Training Equipment (instruments for prestation monitoring and
improvement)
o Sport stimulation (technological innovations)
o Bicycle, Racing Car and Sailing Yacht Design
RFID WORKSHOP
Radio Frequency IDentification has been a =E2=80=9Chype=E2=80=9D for the =
lastthree to five years in the logistics world. Almost every company hass=
tarted an initial research on how to apply RFID in its businessprocess un=
der pressure of large customers. However, it is now becomingclear that ap=
plication of RFID requires more than just attaching tagsand making connec=
tion with a reader in order to become profitable.Although the technology =
looks still very promising, the consequencesfor products and processes sh=
ould be known before even starting animplementation. The variety in RFID =
tags and the extended number ofpossibilities in combining these tags with=
other technologies (sensors,information systems), makes it hard to selec=
t an implementation whichis =E2=80=9Cfirst time right=E2=80=9D.
This session will highlight the problems that still exist with RFID anddi=
scuss both the capabilities and restrictions of the technology. Itwill tr=
y to answer the questions:
1. What is RFID?
2. How to apply RFID?
3. What are the new fields of application?
4. Should my company start with RFID?
WORKSHOP ON INTELLIGENT TRANSPORT SYSTEMS
A broad range of diverse technologies, known collectively asintelligent t=
ransportation systems (ITS), holds the answer to many ofour transportatio=
n problems. ITS is comprised of a number oftechnologies, including inform=
ation processing, communications,control, and electronics. Joining these =
technologies to ourtransportation system will save lives, time and money.=
ITS enablespeople and goods to move more safely and efficiently through =
astate-of-the-art, intermodal transportation system. Simulating thisaspec=
t of transportation is one of the major challenges of our time.
WORKSHOP NANOSIM
Simulation in long-term interdisciplinary research, simulation ofsupramol=
ecular and macromolecular architectures, simulation innanobiotechnologies=
, simulation of nanometric scale engineeringtechniques for creating mater=
ials and components, simulation ofmanipulator devices, simulation in nano=
applications related tochemicals and energy. Simulation of knowledge bas=
ed multifunctionalMaterials. Simulation of nano production processes and =
methods.
AUGMENTED REALITY AND PERVASIVE SYSTEMS IN FACTORIES
“Pervasive systems are likely to become the next programmingparadigm for =
the information society. They will allow us to implementthe augmented rea=
lity and the ubiquitous computing ideas. Pervasivesystems in factories en=
able operators and machines to interact on acommon virtual level which is=
also capable of simulating the real part.Among other related topics, thi=
s track includes: ubiquitous computing,augmented reality, mixed reality, =
wireless networks, hybrid systems,simulation models, human-computer inter=
action, artificial intelligence,security, scalability, fault tolerance, s=
mart devices, and pervasiveservices”
SIMULATION IN LEAN MANUFACTURING
Simulation has become a powerful tool to help manufacturersstreamline the=
ir production and output in order to more rapidly reactand play to the ev=
erchanging market place while reducing costs at everystep. Presentations =
are solicited that cover part or the whole of thislean production process=
such as simulation in: Work Standardization, 5SWorkplace Organization, V=
isual Controls, Batch Size Reduction, Pointsof Use Storage, Quality at th=
e Source, Workflow Practice, ImprovedInformation and Product Flow, Cellul=
ar Manufacturing, Pull &Synchronous Scheduling, Six Sigma & Total Quality=
, Rapid Setup,Work Teams for Cell Management & Process Improvement, Simpl=
ifiedscheduling and Kanban inventory management
CONFERENCE KEYNOTE
The keynote for the ISC2009 will be announced later
TUTORIALS
Tutorials can be proposed in the following three categories:
T1- Introductory tutorials
T2- State of the Art Tutorials
T3- Software and Modelware Tutorials
Tutorial proposals should be emailed to Philippe.Geril@eurosis.org
POSTER SESSION
The poster session only features work in progress. Next to theactual post=
er presentation, these submissions also feature as shortpapers in the Pro=
ceedings.
STUDENTS SESSION
This session is for students who want to present their work inprogress or=
part of their doctoral thesis as a paper. Student papersare denoted by t=
he fact that only the name of the student appears onthe paper as an autho=
r. They are published as short papers in theProceedings.
DIVERSE ACTIVITIES
For demonstrations or video sessions, please contact PhilippeGeril. Speci=
al session will be set up for vendor presentations inco-ordination with t=
he scientific program. User Group meetings forsimulation languages and to=
ols can be organised during the conference.
If you would like to arrange a meeting, please contact the ConferenceChai=
rs. We will be happy to provide a meeting room and other necessaryequipme=
nt.
Partners for projects session(s) will be organised by EUROSIS to givepote=
ntial project teams or individuals the opportunity to present theirresear=
ch in order to link up with fellow researchers for futureresearch project=
s. Those wishing to participate in this session need tosend a proposal to=
Philippe Geril.
EXHIBITION
A special software exhibition will be held during the conferencefocused o=
n industrial simulation tools. For more information pleasecontact EUROSIS=
for further details. Email: Philippe.Geril@eurosis.org
DEADLINES AND REQUIREMENTS
Send all submissions in an ELECTRONIC FORM ONLY in Microsoft Wordformat, =
PDF or Postscript format indicating the designated track andtype of submi=
ssion (full paper or an extended abstract) to EUROSIS(Philippe.Geril@euro=
sis.org).
Please provide your name, affiliation, full mailing address, telephone/ f=
ax number and Email address on all submissions as well. Forsubmissions pl=
ease put in the subject of your Email the followingindications: ISC2009 a=
nd designated track or USE THE ABSTRACT
SUBMISSION SITE OR ELECTRONIC SUBMISSION PAGE.
Only original papers, which have not been published elsewhere, will be ac=
cepted for publication
REGISTRATION FEES
Registration Fees
Author EUROSIS Other
Members Participants
Pre-reg before 495 EURO 495 EURO 545 EURO
May.15th 2009
Registration after Pre-Reg 545 EURO 555 EURO
May 15th 2009 required
The registration fee includes one copy of the Conference Proceedings,coff=
ee and tea during the breaks, all lunches, a welcome cocktail, aconferenc=
e dinner and a visit to the
national space centre (www.findmeaconference.com/nationalspacecentre)
PAPER SUBMISSION TYPES
FULL PAPER (including abstract, conclusions, diagrams, references)During =
review,the submitted full papers can be accepted as a regular 5page paper=
. If excellent,full papers can be accepted by the programcommittee as an =
extended (8-page) paper.
Each submission will be reviewed by at least three members of the Interna=
tional Program Committee.
EXTENDED ABSTRACT (at least five pages)
Participants may also submit a 5 page extended abstract for a regular(5 p=
ages) or short (3 pages) paper or poster, which will be reviewed bythe In=
ternational Program Committee. All accepted papers will bepublished in th=
e ISC’2009 Conference Proceedings.
SHORT ABSTRACT (at least three pages)
Participants may alsosubmit a 3 page abstract for a short paper or poster=
, which will bereviewed by the International Program Committee. All accep=
ted paperswill be published in the ISC’2009 Conference Proceedings.
ONE PAGE ABSTRACTS ARE NOT ACCEPTED.
CORRESPONDENCE ADDRESS
Philippe Geril
EUROSISE-ETI
Greenbridge NV
Wetenschapspark 1
Plassendale 1
B-8400 Ostend, Belgium
Tel: +32 59 255.330
Fax: + 32 59.255.339
Email: philippe.geril@eurosis.org
OUTSTANDING PAPER AWARD
The 2009 Industrial Simulation Conference Committee will selectthe Outsta=
nding Paper of the Conference. The author of this paper willbe awarded a =
free registration for a EUROSIS conference. Only papersSUBMITTED AS FULL =
papers will be eligible for the Outstanding PaperAward.
LANGUAGE
The official conference language for all papers and presentations is Engl=
ish.
IMPORTANT DEADLINES
EARLY SUBMISSION DEADLINE JANUARY 25TH 2009
SUBMISSION DEADLINE FEBRUARY 20TH, 2009
February 20, 2009:
Submit contributed full-papers
(5 to 8 proceedings pages) not previously published. These submissions,wh=
en accepted will be published as regular or extended papers,depending on =
their quality.
Submit extended abstracts (5 abstract pages) or short papers (3abstract p=
ages), reports of industrial projects and summaries ofposters. These subm=
issions, when accepted, will be published asregular, of up to 5 proceedin=
gs page papers.
Submit one -to -three page proposals to present tutorials, to organiseand=
chair panel sessions, to organise user meetings, vendor sessions orto ex=
hibit software
February 20, 2009:
Submit abstracts for student and poster session
LATE PAPER SUBMISSION MARCH 15TH,
2009
APRIL 1, 2009:
Notification of Acceptance or Rejection
MAY 5, 2009:
Authors provide camera-ready manuscript
JUNE 1-3, 2009:
Conference
VENUE: Quality Hotel Loughborough

http://www.qualityhotelloughborough.co.uk/

REPLY CARD
First Name:
Surname:
Occupation and/or Title:
Affiliation:
Mailing Address

Zip code:

City:
Country.
Telephone:
Fax:
E-Mail:
Yes, I intend to attend the ISC’2009:
[ ] Presenting a paper, by submitting a full paper
[ ] Presenting a short paper (by submitting an extended abstract)
[ ] Participating in the industrial program
[ ] Organizing a vendor session
[ ] Proposing a panel discussion (please mention names of panelists)
[ ] Contributing to the exhibition
[ ] Without presenting a paper
The provisional title of my paper / exhibited tool is:
With the following highlights:
The paper belongs to the category (please tick only one):
[ ] Modelling Methodology
[ ] Analysis Methodology
[ ] Ambient intelligence and Simulation
[ ] Discrete Simulation Languages and Tools
[ ] Simulation in Manufacturing
[ ] Simulation in Steel Manufacturing
[ ] Simulation in Automotive Systems
[ ] Simulation in Robotics
[ ] Simulation in Electronics, Computers and Telecommunications
[ ] Simulation in Electronics Manufacturing
[ ] Simulation in Computer Science
[ ] Simulation in Logistics, Traffic and Transport Simulation
[ ] Simulation in Harbour and Airport Logistics
[ ] Hospital Logistics and Health Care Simulation
[ ] Call Centre Simulation
[ ] Complex Systems Modelling
[ ] Simulation in Aerospace
[ ] Marine Simulation
[ ] Simulation in Industrial and Product Design
[ ] Simulation in Engineering Processes
[ ] Simulation in Civil and Building Engineering
[ ] Simulation in Energy and Power Systems
[ ] Simulation in Multibody Systems
[ ] Simulation in Chemical and Petroleum Engineering
[ ] Simulation in Military and Defense
[ ] Verification, Validation and Accreditation
[ ] Simulation and Training
[ ] Virtual Reality and Graphical Simulations in Industrial Applications
[ ] The Future of Simulation Roundtable
[ ] Workshop on Modelling and Simulation in the Textile Industry
[ ] Simulation and Modelling in Sports Engineering
[ ] Workshop on RFID
[ ] Workshop on Intelligent Transport Systems
[ ] Workshop NANOSIM
[ ] Augmented reality and Pervasive Systems in Factories
[ ] Lean Manufacturing Simulation
[ ] Tutorials
[ ] Exhibition
[ ] Poster session
[ ] Student Session
Other colleague(s) interested in the topics of the conference is/are:
Name:
Address:
Name:
Address:

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