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CONFERENCE WORKSHOPS
Activity-based travel demand modelling and simulation
More info to follow
Submit your proposal on Activity Based Travel here
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Decision Models for Intermodal Transport
Intermodal transport refers to the movement of goods in a single loading unit which uses successive various modes of transport (road, rail, water) without handling the goods during mode transfers. Intermodal transport has become an important policy issue, mainly because it is considered to be one of the means to lower the congestion caused by single-mode road transport and to be more environmentally friendly than the single-mode road transport. Both considerations have been followed by an increase in attention towards intermodal freight transportation research.
Various intermodal freight transport decision problems are in demand of mathematical models of supporting them. As the intermodal transport system is more complex than a single-mode system, this fact offers interesting and challenging opportunities to modellers in applied mathematics. This special issue aims to fill in some gaps in the research agenda of decision-making in intermodal transport.
The mathematical models may be of the optimisation type or of the evaluation type to gain insight in intermodal operations. The mathematical models aim to support decisions on the strategic, tactical and operational levels. The decisions-makers belong to the various players in the intermodal transport world, namely drayage operators, terminal operators, network operators, or intermodal operators.
Topics of relevance to this type of decision-making both in time horizon as in terms of operators are:
- intermodal terminal design
- infrastructure network configuration
- location of terminals
- cooperation between drayage companies
- allocation of shippers/receivers to a terminal
- pricing strategies
- capacity levels of equipment and labour
- operational routines and lay-out structure
- redistribution of load units, railcars, barges, ..
- scheduling of trips or jobs
- allocation of capacity to jobs
- loading orders
- selection of routing and service
Track Organizer
Cathy Macharis
Department MOSI - Transport and Logistics
Vrije Universiteit Brussel
Pleinlaan 2
B-1050 Brussel, Belgium
e-mail: Cathy.Macharis@vub.ac.be
Submit your proposal on Intermodal here
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, In-Plant Logistics, Integrated Factory and Logistics Planning, Innovative Planning Methods, tools and systems.
Submit your abstract/paper proposal for this track here
Logistics
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, Merge-in-Transit and Consolidation Centers.
Submit your abstract/paper proposal for this track here
Traffic
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. Tools for risk assessment analysis and monitoring of container traffic.
Submit your abstract/paper proposal for this track here
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.
Submit your abstract/paper proposal for this track here
Airport Simulation
Airport logistics simulation, passenger traffic throughput simulation, Aircraft traffic and airport capacity optimization
Submit your abstract/paper proposal for this track here
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, Medical Informatics, Medical Instruments and Devices, Fluid Flow and Transport Processes in Biological Systems, Drug Delivery Systems.
Submit your abstract/paper proposal for this track here
Call Centre and Supermarket Logistics and Services
Using stochastic models to plan call center operations, schedule call center staff efficiently, and analyze projected performance is not a new phenomenon. However, several factors have recently conspired to increase demand for call center simulation analysis.
Increasing complexity in call traffic, coupled with the almost ubiquitous use of Skill-Based Routing. Rapid change in operations due to increased merger and acquisition activity, business volatility, outsourcing options, and multiple customer channels (inbound phone, outbound phone, email,web, chat) to support. Cheaper, faster desktop computing, combined with specialized call center simulation applications that are now commercially available.
Submit your abstract/paper proposal for this track here
Workshop Simulation with Petri Nets
Petri nets were introduced by C.A. Petri as a "finitary combinatorial model of event topology which, is in close correspondence with the models of modern physics, is capable of describing total information flow, and has proven superior to some conventional models both in construction and in analysis of systems of complex organization". Although many other models of concurrent and distributed systems have been developed, Petri nets are still considered "a central model for concurrent systems with respect to both the theory and the applications" due to the natural way they allow to represent reasoning on concurrent active objects which share resources and their changing states.
The huge amount of work invested in making the modelling power of Petri nets formalism more and more intensive, led to a continuous evolution of this area, such that "Petri nets" is currently a generic name for a whole class of models divided into three main layers (ranging from Elementary Net Systems and Place/Transition nets to traditional High Level nets and High Level nets with abstract data types). For the performance evaluation of the modelled system, time execution and/or stochastic processes have also been considered, leading to important extensions to the above general Petri nets classification: Timed and Stochastic Petri nets.
Petri nets are widely considered as an operational (rather than denotational) formalism for Discrete Event Systems. They have proven to be useful in solving difficult discrete-event problems in a variety of application domains such as in software engineering, operating systems, databases, communication and co-operation protocols in distributed systems, manufacturing systems, defence command and control, business processes and telecommunications, etc.
As investigations in this area show, Petri nets also cover a large number of currently active research areas. Despite the great amount of work and achievements, much effort is still to be done to meet the applications requirements.
This workshop is intended to provide a forum for the presentation and discussion of original ideas, recent results and achievements by researchers, students and system developers on issues and challenges related to the above domain.
We invite to submit original contributions addressing, but not limited to one of the following topics:
-- Simulation using Petri Net Systems,
-- Place/Transition nets,
-- High-level Petri nets,
-- Timed and Stochastic Petri nets,
-- Temporal and real-time logics with respect to Petri nets,
-- Analysis methods of High Level nets and their time extensions,
-- Modular Petri nets,
-- Object-oriented Petri nets (OOPNs),
-- Computer tools based on OOPNs,
-- Applications of OOPNs.
Submit your proposal on Petri Nets here
Workshop Modelling and Simulation with Bond Graphs
The Bond Graph Workshop will bring experts together for the purpose of discussing new concepts, methods, techniques, tools and applications of this energy-based modelling methodology. Papers dealing with all aspects of the use of bond graphs in system design, analysis, and control are welcome. The workshop will provide a forum for the presentation and discussion of recent research and applications of the Bond Graph methodology. Research papers are welcome in the following categories of presentation: Tutorials, Panel Discussions, Software and Tools, Bond Graph Theory, Advanced Bond Graph Methodology, Bond Graphs and Block Diagrams, Computer Graphics and Bond Graph Modelling, Qualitative Modelling, Mechatronics Systems, Mechanical Systems and Robotics, Electrical and Power Systems, Control Systems, Thermal and Chemical Systems, Biomechanics and Prosthetics, Ecological Systems, Biological and Medical Systems, Social and Economic Systems, Industrial Applications, Large, Nonlinear Models.
Submit your proposal in bond graph simulation here
DEVS Workshop
The DEVS Workshop will cover: Extensions to the DEVS formalism, DEVS and Distributed DEVS frameworks, DEVS-based next generation VHDL, DEVS standardization, DEVS applications.
Submit your proposal in DEVS here
Fluid Flow Modelling Simulation Workshop
Papers are solicited in:Conventional fluid dynamics, New developments in boundary tracking, adaptive multiscale meshes, algorithm stability, turbulence.
Atomistic methods
Ab-initio and classical molecular dynamics, direct simulation Monte Carlo.
Mesoscopic methods
Lattice gases, lattice-Boltzmann, smoothed particle dynamics, \dissipative particle dynamics, discrete simulation automata, etc.
Hybrid methods
Atomistic-mesoscopic and mesoscopic-continuum: direct simulation Monte Carlo, adaptive-mesh dissipative-particle dynamics, etc.
Multidisciplinary and industrial applications
Chemical and biomedical engineering, automotive, oil extraction and aeronautic industry, flow in porous media, Fluid Dynamics Simulation, Fluid Dynamics Simulation in Turbomachinery Flow Analysis of Pump Turbines, Water, air, vibration analysis through fluid flow modelling, Electromagnetic Field Simulation, Virtual Wind Tunnels, Structural analysis Statics (Stress, Deformation), Dynamics (Vibration), Eigen value, Fatigue, Thermal load Electric power plants, General plant components Computational fluid dynamics Compressible flow, Incompressible flow, Heat transfer, Multiphase/multi component flow, Combustion, Reaction,, Noise (Flow-induced sound) Gas turbines/Steam turbines,Combustors, Nuclear plant components, Hydro turbines, Pumps, Heat exchangers, Piping systems Computational electro-magnetics Static elecromagnetics, Eddy current, Electromagnetic wave, Electric circuit Nuclear fusion reactor, Transformers, Switch gear, Rotating machinery, Inverters/Converters Coupled problems Fluid-structure coupled analysis, (Flow-induced vibration), Fluid-electric field coupled analysis, (Insulation) Heat exchangers, Electric power transmission components.
Submit your proposal in fluid flow simulation here
CoSSoM'10 - Complex systems and self-organization modelling
The aim of this workshop is to concern itself with the use of emergent computing and self-organization modelling within various applications of complex systems. We focus our attention both on the innovative concepts and implementations to model self-organizations, but also the relevant applicative domains which can use them in an efficient way. The first part covers, collective intelligence and dynamic combinatorics are conceptual tools which can be used to model self-organization processes. The second part covers, geographical information systems (GIS), cognitive sciences and natural ecosystems are some relevant applicative domains on which we propose to focus our attention.
Check out the website
Submit your proposal in complex systems simulation here
Models and simulations for Emergency and Risk Management
Multiple and unexpected failures but also catastrophes waiting to happen are built into our "society's complex systems". This is a matter of increasing concern. How should we understand, control or avoid such potential crisis on a local/global scale, where local interactions play a major role?
Simulations are powerful tools in a context where risk is the product of probability of accident by the losses per accident. This risk can be major when it is collective, the occuring frequency is low, the impacts on humans or environment are very important. In this kind of risk, it is necessary to engage exceptional resources to prevent, to forsee and to help. This aspect is very important, but some crises have demonstrated that the problems can be in upstream and it is also necessary to consider the detection, the defects diagnosis and the supervision of risk systems.
We solicit contributions on (not exhaustive):
- Modeling risk (including technical, environmental and human factors) to prevent and to manage
- Tools of analysis, detection and early diagnosis
- Population flow before, during and after the crisis
- Information flow for the emergency
- .....
Submit your proposal in Emergency and Risk management here
