Modeling and Simulation of Computer Networks and Systems: Methodologies and Applications

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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, MISRA standard Compliance.

Submit your proposal for the Automotive track here. Choice modelling attempts to model the decision process of an individual or segment in a particular context. Choice modelling may be used to estimate non-market environmental benefits and costs. Choice modelling comprises a number of specific techniques that contribute to its power. Some or all of these may be used in the construction of a Choice Model. Orthogonality; Experimental design; Stated preference; Preferences as choice trade-offs; Sampling and block allocation and Model Generation.

Choice modelling is particularly useful for:.

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Submit your proposal in Choice Modelling here. Submit your proposal in Multibody System here. Submit your proposal in organization and management here. Submit your proposal in supporting technologies here. Submit your proposal in formal methods here. Submit your proposal in embedded systems here. Submit your proposal in EDM here. Submit your proposal in CE Process Management here. Submit your proposal in CE Virtual Teams here.

5th International Conference on Control, Modeling and Computing (CMC )

Submit your proposal in CE Lean Manufacturing here. Submit your proposal in CE practical Applications here. In this way, the knowledge and experience in new methods and approaches can be shared amongst participants. Submit your proposal in Factory Planning here. Data Driven Tradespace Exploration and Analysis is a new methodology aimed at transforming the conventional engineering process, which is unable to account for today's challenges of increasing system complexity, increasing pace of technology development, uncertain political futures, and the global availability of technology to potential competitors.

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The methodology aims to link the following key technical thrusts: Systems representation and Modelling physical, logical structure, behaviour, interactions and interoperability Characterizing Changing Operational Tasks Deep understanding of technical needs, impacts of alternative designs Cross Domain Coupling Model Interchange and Composition across scales, disciplines Data-Driven Tradespace Exploration and Analysis Multidimensional Generation, evaluation of alternative Designs Collaborative Design and Decision Support Enabling well-informed, low overhead discussion, analysis and assessment among engineers and decision makers thus resulting in improved engineering and design capabilities or so-called Engineered Resilient Systems ERS.

Submit your proposal in Trade Space here. There are presently about 25 3D printing technologies. The oldest is layered object manufacturing, followed by stereolithography.


More recent technologies include selective laser sintering, Direct Metal Laser Sintering DMLS , inkjet technologies, fused deposition modeling, Polyjet matrix and many variations. All of these technologies take a 3D model, compute cross-sections of that model, and then deposit the cross-sections sequentially on top of each other until the final geometry is achieved. Applications using this technology include direct parts for a variety of industries including Aerospace, Dental, Medical and other industries that have small to medium size, highly complex parts and the Tooling industry to make direct tooling inserts.

Applied System Simulation

As this methodology and technique is used more and more frequently in the manufacturing process we therefore solicit papers in:. Submit your proposal in Additive Manufacturing here. Smart Factory 1. It also aims at interoperability and information standardization of the main equipment while embracing flexible production.

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Industry 4. Technological basis are cyber-physical systems and the Internet of Things. Submit your proposal in Smart Factory here. 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. Submit your proposal in Manufacturing here. Steel manufacturing production validation, steel production planning, abrasive surface modelling, surface grinding, profiling and turning processes, welding, friction stir welding and roboforming. Ceramic, ceramic resins, epoxy, fiberglass, Kevlar, polymer, silicon carbide, Tenslyon, Graphene, Spidrex, Nano Ceramics, Nanometric Steel, High Strength Alloys, titanium and ultra-high-molecular-weight polyethylene production and usage simulation. Submit your proposal in Steel Manufacturing here.

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This track covers: 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. Cleanroom Manufacturing Cleanroom suitability test, microsystem technology, cleaning technology, manufacturing technology for clean environments, information systems. Submit your proposal in Cleanroom Manufacturing here. Submit your proposal in Manufacturing Technologies here. 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.

Submit your proposal in Coating Technology here. Simulation models are by nature evaluative instead of suggesting any optimal solutions, a simulation model evaluates a given set of design variables and generates the required performance measures.

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For a decision maker, the process of finding a sufficiently good design setting could be too time-consuming and in many cases impossible if the search space is huge. Simulation-based optimization SBO is a relatively new technique that can be applied to seek the optimal setting for a complex system model based on one or multiple performance measures generated from simulation by using various searching methodologies. On one hand, it has been noticed from the recent publications that SBO has been successfully applied to address a wide range of real-world industrial problems with very promising results.

On the other hand, it is believed that the potential benefits offered by SBO and related tools are not yet fully explored or understood on the part of industrial prospective users. The aim of this track is to bring scientists, researchers and industrial practitioners working in simulation from various disciplines with interest in optimization together to share their experiences in applying SBO technologies to a wide range of industrial applications.

Submit your proposal in Optimization here. Textile and apparel performance modelling, Planning and control, Integrated product and process modelling, Industrial applications. Submit your proposal in Textile Manufacturing here. Submit your proposal in Logistics here. Supply Chain Optimization and Network Design, 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 theory and management, warehousing decisions, strategic inventory management, 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, Inter-Firm Collaborations for Logistics, Web based logistics, Military Logistics, Strategic and Operational Carrier Selection in Transportation Auctions.

Submit your proposal in Supply Chains here. Decision support systems in medicine diagnosis, prognosis, therapeutic, treatment follow-up Organisation of health care units hospital, Patient waiting time simulation, Emergency evacuation simulation, Brancardage, hospital occupation simulation and optimization. Submit your proposal in Hospital Logistics here. Submit your proposal in Humanitarian Logistics here. Using stochastic models to plan call center operations, schedule call center staff efficiently, and analyze projected performance is not a new phenomenon.