[vc_row][vc_column width=”1/3″][vc_column_text]Advanced Tutorials
Agent-Based Simulation
Analysis Methodology
Aviation Modeling and Analysis
Case Studies
Complex, Intelligent, Adaptive and Autonomous Systems (CIAAS)
Cyber-Physical Systems
Environment and Sustainability Applications
Healthcare Applications[/vc_column_text][/vc_column][vc_column width=”1/3″][vc_column_text]Homeland Security Enterprise
Hybrid Simulation
Introductory Tutorials
Logistics, Supply Chain Management, Transportation
Manufacturing Applications
Military Applications
Modeling and Analysis of Semiconductor Manufacturing (MASM)
[/vc_column_text][/vc_column][vc_column width=”1/3″][vc_column_text]Modeling Methodology
Networks and Communications
Project Management and Construction
Simulation Education
Simulation Optimization
Simulation for a Noble Cause
Simulation Standards and Reproducibility

Advanced Tutorials

Track Coordinator: Adelinde Uhrmacher University of Rostock, and Susan Sanchez, U.S. Naval Postgraduate School

The Advanced Tutorials track is oriented toward more experienced practitioners and researchers who do not necessarily specialize in simulation research, but nevertheless seek the latest modeling and analysis tools and techniques for advanced applications. Special-focus sessions within the Advanced Tutorials Track give practitioners and researchers a survey of recent fundamental advances in the theory of simulation modeling and analysis.


Agent-Based Simulation

Track Coordinators: Bhakti Stephan Onggo, Trinity College Dublin, and Victor Chan, Tsinghua University

The Agent-Based Simulation (ABS) track is interested in theoretical, methodological and applied research that involves synergistic interaction between simulation and agent technologies. It covers multi-agent systems, agent-based simulation and agent-directed simulation. Contributions to the ABS track can be advancements of agent-based simulation modeling and/or analysis, studies of complex adaptive systems or self-organizing emergent phenomena using agent-based models, and applications of ABS to fields such as biomedical sciences, business, engineering, environment, individual, group, organizational behavior, social systems and intelligent transportation systems. Also, of interest are contributions that demonstrate the use of agents as support facilities to enable computer assistance in simulation-based problem solving (i.e., agent-supported simulation), or the use of agents for the generation of model behavior in a simulation study.Topics include, but are not limited to, the following:

Theory and Methodologies:

  • High-level specification or modelling languages for agent-based simulation
  • Advanced execution platform for agent-based simulation (e.g. cloud, edge computing)
  • Formal models of agents and agent societies
  • Verification, validation, testing; quality assurance; as well as failure avoidance in agent-based simulations
  • Experiments and output analysis of agent-based simulations
  • Advanced agent features for agent-directed simulation: e.g., agent-based simulation to monitor multi- simulation studies, agents in design and monitoring of simulation experiments and analysis of results
  • Interface with artificial intelligence and analytics
  • Incorporating big-data into agent-based models


  • Autonomous and adaptive systems
  • Complex adaptive systems modeling
  • Self-organizing systems
  • Applications in business or management (e.g. operations, supply chain, marketing, finance)
  • Applications in physical science and engineering (e.g. environment, biomedical, engineering)
  • Applications in social sciences
  • Simulation modeling of agent technologies at the organization, interaction (e.g., communication, negotiation, coordination, collaboration) and agent level (e.g., deliberation, social agents, computational autonomy)

Technology, Tools, Toolkits and Environments:

  • Agent infrastructures and supporting technologies (e.g., interoperability, agent-oriented simulation software engineering environments)
  • Agent architectures, platforms, and frameworks
  • Standard APIs for agent simulation programming


Analysis Methodology

Track Coordinator: Marko Hofmann, University of the German Armed Forces, and Wei Xie, Rensselaer Polytechnic Institute

The Analysis Methodology track is intended to cover a variety of empirical, computational, mathematical and statistical techniques in the context of their application to simulations. Papers covering the construction and calibration of simulation inputs that either improve upon standard approaches or introduce new methods are encouraged. Similarly papers covering the analysis of simulation output that aims to meaningfully interpret the information produced by simulations and allows modelers to make useful inferences regarding the simulated system are also included. Finally, papers that deal with the efficiency, accuracy and appropriateness of a simulation as a representative model of some actual system are also covered by the Analysis Methodology track. The main focus of this track is to explore methods for obtaining better inputs, estimates or inferences using practical or novel approaches. We also welcome suggestions for sessions on emerging topics. Nonconventional methods, methods dealing with non-stationary time series, and methods for dealing with nonlinear dynamics are welcome.

Topics of interest include, but are not limited to, the following:

  • Simulation methodologies for system design and control
  • Statistical issues of input and output analysis
  • Simulation for risk management
  • Constructing and calibrating non-stationary inputs
  • Theoretical and practical problems of simulation output interpretation
  • Calibration of simulation systems
  • Interpretation and handling of data variation in simulation models
  • Sensitivity analysis and robustness of simulation results
  • Metamodeling and Multimodeling
  • Epistemological issues of Simulation-based Analysis


Aviation Modeling and Analysis

Track Coordinators: Miguel Mujica Mota, HVA – Amsterdam University of Applied Sciences (NL)

The world’s air transportation system is preparing for an influx of new users with diverse needs, while simultaneously growing in its traditional areas. The Aviation Track aims to cover most of the important areas of the aviation industry where simulation alone or together with other techniques can provide solutions. Therefore, we invite researchers from research institutions, universities, airlines, air navigation service providers, and industry to submit original papers presenting results of their work.

Areas of interest are, but not limited to:

  • Human-in-the-Loop simulations for training and for evaluating new technologies
  • Airports
  • Capacity & efficiency improvement
  • Airport capacity forecast
  • Business intelligence for airports
  • Multi-Airport Systems
  • Small and regional airport development
  • Airline operations
  • Maintenance, Repair, and Overhaul and Lean MRO
  • Optimization of operational processes or specific problems in aviation
  • Air Traffic Management
  • ATC/AIRPORT systems
  • Predictability of air transportation operations
  • Unmanned airborne systems
  • Trajectory modeling
  • Safety of interactions with manned aviation
  • Air traffic control concepts
  • Development of incident investigation
  • Environmental effects of aviation
  • Cargo problems in aviation
  • Multimodality where aviation is involved
  • Economics of the air transportation system
  • Communications, Navigation, and Surveillance systems


Case Studies

Track Coordinator: Sven Spieckermann, SimPlan AG, and José Arnaldo B. Montevechi, Universidade Federal de Itajubá (UNIFEI)

The Case Studies Track serves as a multidisciplinary forum for professionals to share what they have learned modeling real world problems using simulation. The applications are open to all areas including, but not limited to:

  • Manufacturing
  • Logistics and distribution
  • Healthcare
  • Mining
  • Social and human behavior
  • Aerospace
  • Food services
  • Military
  • Data analytics
  • Standard implementations

The track will consist of 30-minute presentations, which should include time for questions and answers. The presentations should focus on a specific problem where simulation was utilized to conduct an analysis and provide recommendations for potential solutions. A two-page extended abstract is required to be submitted for consideration via the WSC submission site. No full length paper is required. The extended abstract should, at a minimum, describe the problem, the simulation methods used, the results, and the impact/benefits of the project. A separate shorter version of the abstract limited to 150 words must also be submitted. The abstracts will be reviewed and those case studies selected for presentation at WSC will have their abstract appear in the final program of WSC and on the WSC Archive website to share what they have learned modeling real world problems. If you are interested in having a relevant panel session in the case study track, a two-page extended abstract that described the panel needs to be submitted. A 90- mins panel slot will be allocated to those whose panel proposals have been accepted. Online submission for the Case Studies Track will open in June 2017.  Case Study track papers should use the standard template for submission, and submit papers 2 pages long only.


Complex, Intelligent, Adaptive and Autonomous Systems (CIAAS)

Track Coordinators: Saurabh Mittal, MITRE Corporation, Jose L. Risco Martin, Complutense University of Madrid, Spain, Marco Lutzenberger, DAI-Lab, TU Berlin, Germany, and Claudia Szabo, University of Adelaide, Australia

The increasing popularity of the Internet of Things, or IoT metaphor emphasizes that heterogeneous systems are the norm today. A system deployed in a netcentric environment eventually becomes a part of a system of systems (SoS). This SoS also incorporates adaptive and autonomous elements (such as systems that have different levels of autonomy and situated behavior). This makes design, analysis and testing for the system-at-hand a complex endeavor.

Testing in isolation is not the same as a real-system operation, since the system’s behavior is also determined by the input, which evolves from the environment. This exact factor is difficult to predict, due to an ever-increasing level of autonomy. Advanced Modeling and Simulation (M&S) frameworks are required to facilitate SoS design, development, testing, and integration. In more particular, these frameworks must provide methods to deal with intelligent, emergent, and adaptive behavior as well as autonomy.

The subject of emergent behavior and M&S of emergent behaviors takes the center stage in such systems as it is unknown how a system responds in the face of emergent behavior arising out of interactions with other complex systems. Intelligent behavior is also defined as an emergent property in some complex systems. Consequently, systems that respond and adapt to such behaviors may be called intelligent systems as well.  This track has two objectives.

The first objective aims to focus on M&S of the following aspects of complex SoS engineering and brings researchers, developers and industry practitioners working in the areas of complex, adaptive and autonomous SoS engineering that may incorporate human as an integral part of SoS operations. This objective covers the following topics:

  • Theory for adaptive and autonomous systems
  • Intelligence-based systems
  • Computational intelligence and cognitive systems
  • Human-in-the-loop systems
  • M&S Frameworks for intelligent behavior
  • Methodologies, tools, and architectures for adaptive control systems
  • Knowledge engineering, generation and management in CIAAS
  • Weak and Strong emergent behavior, Emergent Engineering
  • Complex adaptive systems engineering
  • Self-* (organization, explanation, configuration) capability and collaborative behavior in CIAAS
  • Applications to robotics, unmanned vehicles systems, swarm technology, semantic web technology, and multi-agent systems
  • Netcentric CIAAS
  • Live, Virtual and Constructive (LVC) environments
  • Simulator design for CIAAS systems
  • Modeling tools for CIAAS design
  • Modeling, engineering, testing and verification of complex behavior
  • Development and testing of complex and distributed systems
  • Modeling, simulating, and testing IoT environments and applications

The second objective is to incorporate Complexity Science to advance the M&S of CIAAS. Complexity is a multi-level phenomenon that exists at structural, behavioral and knowledge levels in such SoS. Emergent behavior is an outcome of this complexity. Understanding emergent behavior as an outcome of this complexity will provide foundation for resilient intelligent systems, and M&S thereof. Following are some of the topics related to this objective, but not limited to:

  • Complexity in Structure: network, hierarchical, small-world, flat, etc.
  • Complexity in Behavior: Micro and macro behaviors, local and global behaviors, teleologic and epistemological behaviors
  • Complexity in Knowledge: ontology design, ontology-driven modeling, ontology-evaluation, ontology transformation, etc.
  • Complexity in Human-in-the-loop: artificial agents, cognitive agents, multi-agents, man-in-loop, human-computer-interaction
  • Complexity in intelligence-based systems: Situated behavior, knowledge-based behavior, mnemonic behavior, resource-constrained systems, energy-aware systems
  • Complexity in adaptation and autonomy
  • Complexity in architecture: Flat, full-mesh, hierarchical, adaptive, swarm, transformative
  • Complexity in awareness: Self-* (organization, explanation, configuration)
  • Complexity in interactions: collaboration, negotiation, greedy, rule-based, environment-based, etc.
  • Complexity in Live, Virtual and Constructive environment
  • Complexity in artificial systems, social systems, techno-economic-social systems
  • Complexity in model engineering of complex SoS
  • Complexity in model specification using modeling languages and architecture frameworks such as UML, PetriNets, SysML, DoDAF, MoDAF, UAF, etc.
  • Complexity in Simulation environment engineering: distributed simulation, parallel simulation, cloud simulation, netcentric parallel distributed environments
  • Complexity in Testing and Evaluation (T&E) tools for SoS engineering
  • Complexity in Heterogeneity: Hardware/Software Co-design, Hardware in the Loop, Cyber Physical Systems, the Internet of Things
  • Metrics for Complexity design and evaluation
  • Verification, validation and accreditation of Complexity in SoS
  • Application of Complexity aspects in domain engineering: Financial, Power, Robotics, Swarm, Economic, Policy, etc.
  • SoS Failure due to Complexity


Cyber-Physical Systems

Track Coordinators: M. Teresa Higuera-Toledano, Complutense University of Madrid (SP), Nikos Arechiga, Toyota Research Institute, and Gabor Karsai, Vanderbilt University

Cyber Physical Systems (CPS) are complex engineered systems whose operations are controlled, coordinated, monitored, and integrated by computer-based algorithms. Examples of CPS include smart grids, autonomous automotive and avionics systems, medical monitoring and control, process control systems, robotic systems, and automatic pilot avionics. This computing power is embedded in the physical environment of a wide variety of objects and structures, and is interconnected using networks. Such tightly coupled computations and communication capabilities allow CPS to augment with physical processes with new capabilities. With the advent of low-cost programmable internet-ready hardware, CPS are rapidly becoming internet-connected. Such an Internet of Things (IoT) opens new possibilities for collecting, managing and processing large data sets to manage and control such systems at different temporal, physical, and geographical scales. Advances in the CPS and IoT domains are having great economic, social and technical impacts. Therefore, there is an emerging consensus that new methodologies and tools are needed for developing such systems.

Topics of interest include, but are not limited to:

  • Modeling and simulation of CPS
  • Multi-domain and multi-formalism modeling and analysis of CPS
  • Distributed and cloud computing for the design and analysis of complex CPS
  • Design automation tools and tool chains for model-based design of CPS
  • Design of networking systems for CPS
  • Control of (networked) CPS
  • Simulation-guided formal verification of safety-critical CPS
  • Resilient and robust system design of CPS and IoT
  • Security and privacy of CPS and IoT
  • Ubiquitous and pervasive computing for enhanced user interactions with CPS and IoT
  • Wearable and biomedical CPS


Environment and Sustainability Applications

Track Coordinators: Sigríður Sigurðardóttir, Arion Bank, and Jonathan Gilligan, Vanderbilt University

The Environmental and Sustainability Applications track focuses on the use of modeling and simulation for the analysis of the environment, of coupled natural-human systems, and of resilient and sustainable solutions to environmental and natural resource challenges. Application areas include ecological systems, natural disasters, renewable resources, sustainable manufacturing, sustainable infrastructure, urban planning, and human-environment interaction. We solicit papers presenting new ideas, concepts, models, methods, tools, standards, and applications pertaining to the evaluation and preservation of the natural environment and its resources.

Possible topics include, but are not limited to, the modeling, simulation, and analysis of:

  • Human-environment interaction
  • Ecological systems
  • Resilience in coupled natural-human systems
  • Natural disasters and their impact on society
  • Renewable resources and related processes
  • Human adaptation to climate
  • Sustainable power grids/smart grids
  • Energy efficient and sustainable urban planning and design
  • Sustainable infrastructure
  • Energy/resource efficient manufacturing
  • Environmental modeling, visualization, and optimization
  • Decision support and analytics for sustainability
  • Information modeling and interoperability for sustainability applications



Track Coordinator: Sebastiaan Arno Meijer, KTH Royal Institute of Technology

The Gaming track deals with the intersection of games and simulation in application domains such as education, business, management, entertainment, training, military, and medical sciences. The track focuses on the use of simulation techniques in game design and development. The natural tension between rigor in modelling and the free and playful interaction with a simulated system through gaming will be addressed. Gaming in combination with simulation has applications in entertainment, learning, training, policy making, decision support and design. The track also focuses on the use of gaming techniques and technologies to enhance the usability of simulations, for example with innovative visualization and interactive techniques.

This track invites papers that demonstrate the application of gaming approaches and technologies, supported by simulation for learning, training, design, planning and decision making. The track also encourages papers that address the use of modeling and simulation techniques in game design and development. In particular focus is the use of interactive techniques and visualization approaches in simulation, such as Augmented and Virtual Reality.

Topics include, but are not limited to, the following:

  • Gaming as a method in simulation projects
  • Game design approaches, methodologies, and techniques (prototyping, playtesting, evaluation, risk analysis)
  • Game architectures and environments for learning, training and decision support
  • Assessment and evaluation of games
  • Games with simulation content for Design, Policy Making and Decision Support
  • Validation of simulation with gaming methods.
  • AI in Games
  • VR/AR based interaction and visualization for simulations
  • Multi-agent or behavioral simulation in game environments (Intelligent agents, Agent
  • Technologies, ABMs in game engines and game development)


Healthcare Applications

Track Coordinators: Xiaolan Xie, Ecole Nationale Supérieure des Mines de Saint-Etienne and Maria Mayorga, NC State University

The Healthcare Applications track addresses an important area in which simulation can provide critical decision support for operational and strategic planning and decision making that individual providers (doctors/nurses, clinics, urgent care centers, hospitals) face, as well as for policy issues that must be addressed by administering systems (e.g., hospitals, insurance companies and governments). Traditionally, this track has been broad in focus, incorporating Discrete Event Simulation, System Dynamics, Agent-Based Simulation, and/or Monte Carlo simulations, with a variety of applications. A common thread is the use of simulation tools to provide insight into or to inform decisions for improved healthcare outcomes. New modelling tools that address challenges with the conceptualization or implementation of healthcare systems, and general healthcare simulations are welcome.

Topics include, but are not limited to, the following:

  • Admissions and control
  • Ancillary services
  • Appointment scheduling
  • Emergency room access
  • Epidemic modelling
  • General healthcare simulation
  • Global Health
  • Healthcare optimization
  • Healthcare systems
  • Medical decision making
  • Outpatient access
  • Outpatient capacity analysis
  • Payment/Payer models
  • Performance improvement models
  • Pricing models
  • Resource scheduling (e.g., nurse, doctor, anesthesiologist, residents, equipment, etc.)


Homeland Security Enterprise

Track Coordinator: Jalal Mapar, U.S. Department of Homeland Security, and Fredrik Bynander, Swedish Defense University

The Homeland Security and Emergency Response track includes papers reporting methods and applications of simulation to Homeland Security and Emergency Response. Applications may be in any area related to homeland security such as critical infrastructure, transportation security, bio-defense, and/or may address any phase of the emergency response lifecycle, i.e., preparation/training, response, recovery and mitigation.

Topics include, but are not limited to, the following:

  • Aviation security
  • Distribution of relief goods
  • Evacuation
  • GIS applications
  • Planning, training, and resource allocation
  • Preparedness and response to the needs of at-risk or injured populations
  • Terrorism and counter terrorism
  • Transportation network resiliency and reliability


Hybrid Simulation

Track Coordinator: Navonil Mustafee, Exeter University (UK), Tillal Eldabi, Brunel University (UK), and Anatoli Djanatliev, University of Erlangen-Nuremberg.

The Hybrid Simulation track welcomes submission from authors that have used a combination of analytical approaches, including simulation, with the objective of overcoming the limitations associated with individual methods and techniques. Unlike the conventional M&S approach, where particular techniques have often been applied in isolation, the submissions we wish to attract will have conducted original research in the combined application of multiple methods, with the objective of achieving synergies across individual approaches and, thereby, providing greater insights to problem-solving. More specifically, our track is interested in attracting submissions that have used either:

  • Hybrid Simulation (HS), which is the combined application of different simulation techniques, e.g., Discrete-Event Simulation, Monte Carlo simulation, System Dynamics, Agent-Based Simulation.
  • Hybrid Systems Modelling (HSM), which is the combined application of M&S with methods and techniques from disciplines such as Computer Science/Applied Computing, Business Analytics, Data Science, Operations Research, Systems Engineering, Economics, Humanities and Psychology. Examples include the combined application of qualitative system dynamics, problem structuring methods, forecasting, classical optimization techniques, process mining, data mining, machine learning, game-theoretic modelling, etc. with computer simulation. The mixed method approach could be applied to different stages of an M&S study (problem formulation, model implementation, V&V, experimentation, etc.).

Topics include, but are not limited to, the following:

  • Synthesis of existing literature in HS and HSM
  • Taxonomy of HS and HSM
  • Comparing HS and HSM
  • Methodology, e.g., papers presenting the conceptualization of HS or HSM through use of frameworks and modelling formalisms
  • Studies focusing on case studies that have applied HS and HSM in various domains
  • Technical papers on the development of software artefacts for facilitating HS or HSM
  • Conceptual modelling for HS and HSM
  • Papers on validation and verification of HS and HSM
  • The combined application of ABS-SD- DES
  • The combined use of Simulation with methods and techniques from other disciplines, e.g., ABS and metaheuristics, predictive analytics and simulation, DES and game theory.
  • Combined application of simulation with behavioral studies (commonly referred to as Behavioral Operations Research)

The track will be organized into specific themes, for example:

  • Hybrid Systems Modelling
  • Methodological aspects of HS and HSM
  • Modelling human behavior using HS
  • HS for healthcare planning
  • HS for planning and scheduling
  • HS for sustainable operations management


Introductory Tutorials

Track Coordinator: Anastasia Anagnostou, Brunel University London, and Jeff Joines, North Carolina State University

The Introductory Tutorials track is oriented toward professionals in modeling and simulation interested in broadening or refreshing their knowledge of the field. Tutorials cover all areas including mathematical and statistical foundations, methods, application areas and software tools.


Logistics, Supply Chain Management, Transportation

Track Coordinators: Markus Rabe, Technical University of Dortmund, and David Goldsman, Georgia Institute of Technology

The nature of highly dynamic and complex networks of supply, intralogistics, and distribution leads to decreasing transparency at increasing risk. Therefore, managers who are responsible for supply chain management and logistics require effective tools to provide credible analysis in this dynamic environment. In order to facilitate the discussion of the best applications of simulation in this area, this track includes papers in logistics simulation, supply chain simulation, and simulation for planning, analyzing, and improving logistics from the intralogistics view to global supply chains.

Topics of interest include, but are not limited to, the following:

  • Supply chain design
  • Supply chain responsiveness
  • Supply chain risk analysis
  • Statistical analysis of supply chains
  • Simulation-based optimization of supply chains
  • Lean supply chains
  • Green supply chains
  • Supply chain operations
  • Demand and order fulfillment
  • Inventory policies
  • Multi-modal logistics systems
  • Port operations
  • Rail operations
  • Traffic and routing
  • Intralogistics
  • Advanced material flow systems
  • Big data analytics for supply chains
  • Efficient transportation for supply chains


Manufacturing Applications

Track Coordinator: Christoph Laroque, WH Zwickau, and Leon McGinnis, Georgia Institute of Technology

Simulation is a well-established model-based methodology for analyzing dynamics and inter-dependencies in manufacturing systems. The Manufacturing Applications track is interested in research using simulation in industrial applications such as automotive, aircraft, shipbuilding, and consumer products manufacturing. Manufacturing applications relate to the model-based analysis of (i) all production and logistics processes within a manufacturing enterprise, (ii) across the hierarchical levels of factory, line, cell, workstation, machine and process, and (iii) across all phases of a system life cycle, such as system acquisition, system design and planning, implementation, start of operation, ramp-up, as well as the operation itself. A contribution shall describe the aims of investigation, the investigated system, the simulation model and its verification and validation, the experimental plan, the findings and any implementation results.

Topics include, but are not limited to, the following:

  • Manufacturing system design and operations
  • Applications of simulation-based optimization in production
  • Cyber-physical systems, Industrial Internet, Industry 4.0
  • Virtual Factory, Digital Factory
  • Production planning and scheduling
  • Lean manufacturing, Total quality management
  • Maintenance and Lifecycle-Assessment
  • Integration of energy and carbon footprint considerations


Military Applications

Track Coordinator: Robert Siegfried, aditerna GmbH, and Mariusz A. Balaban, US Army

The Military Applications track is interested in papers that describe the application of modeling and simulation methods to challenges in the military. Applications may be in any area relevant to military such as battlefield simulation, military logistics/transport, LVC federation and multi-architecture integration, LVC performance measures, VV&A, interoperability, composability, relevant standards, visualization, man power planning, unmanned systems, scenario generation, exercise execution and data management, etc. Submissions are encouraged for all military application areas like training, analysis, acquisition, testing, and experimentation.

Topics of special interest include, but are not limited to, challenges and innovations for representation and implementation of robotic swarms, cybersecurity operations and cyber threats, social media, hardware-in-the-loop simulations, future human-robot operations, future platforms and weapons prototyping, synthetic environments, instrumentation and sensors, complex behaviors of semi-automated forces, electronic warfare, mass casualty triage, medical operations, behaviors related to human body and wounds, range systems, automatic scenario planning and exercise data management, and multi-resolution models.

Papers investigating an innovative use of cloud technologies and services, gaming technology, mixed reality (MR) technology, artificial intelligence technology, big data technologies, and networking technology for military and homeland security applications are also welcome!


Modeling and Analysis of Semiconductor Manufacturing (MASM)

Track Coordinators: John W. Fowler, Arizona State University, Cathal Heavey, University of Limerick, and Jei-Zheng Wu, Soochow University, Taiwan

Click here for more information about MASM.


Modeling Methodology

Track Coordinators: Andreas Tolk, MITRE Corporation, and Andrea D’Ambrogio, University of Rome

The Modeling Methodology track is interested in methodological advances with respect to the theory and practice of modeling and simulation. These may include approaches to formal model development, data capture, model building, verification, validation, experimentation, and optimization. New modeling and simulation formalisms and extensions to current formalisms are welcome. We are also interested in contributions to the advancement of the technology, methods, and software used to support modeling. As such, our main topics of interest are:

  • Modeling and simulation formalisms
  • Metamodeling and model transformations
  • Automated model building
  • Data driven modeling

The Modeling Methodology Track overlaps with several other tracks that are addressing the application of the modeling methods of interest to this track. In this respect, the track is interested in contributions that specifically focus on methodological issues as applied to the following topics:

  • Modeling and simulation as a service
  • Modeling of and for Cyber Physical Systems
  • Modeling for multi-level approaches
  • Modeling for multi-resolution approaches
  • Modeling for multi-paradigm approaches
  • Modeling supporting parallel simulation
  • Modeling supporting data mining
  • Modeling supporting validation

Of special interest for the Modeling Methodology track at the WSC 2018 is the communication of modeling and simulation approaches and its results towards other disciplines, in particular the humanities and arts contributing to the noble course. Therefore, papers are called for that address methodological issues in the following areas:

  • Modeling for Communication of Challenges, Models, Simulations, and Results
  • Modeling for Social Science and the Humanities

If you have a proposal for a special session or a panel discussion of particular interest to the WSC participants, please send an email with a short description and references to related work to track chairs.


Networks and Communications

Track Coordinator: Bruno Tuffin, INRIA

The Networks and Communications track focuses on technologies for modeling and simulating computer and communication networks, networked systems and applications, wireless and mobile communications, and social networks.

Topics of interest include, but are not limited to, the following:

  • Network design and analysis
  • Network dependability
  • Distributed and networked applications and systems
  • Future internet architecture, clean-slate network design, software-defined networking
  • Wireless and mobile networks
  • Data center networking
  • Social networking
  • Network security, cyber defense applications
  • Traffic modeling and analysis
  • High-performance network modeling techniques
  • Large-scale network simulation
  • Network simulation tools and software
  • Network emulation, real-time simulation, online simulation, symbiotic simulation
  • Training and education



Track Coordinators: Masoud Fakhimi, University of Surrey and Giulia Pedrielli, Arizona State University

We are seeking outstanding extended abstracts (2 pages) submissions to be presented in a poster format at the conference. Competitive contributions will present interesting recent results, novel ideas or works-in-progress that are not quite ready for a regular full-length paper. Contributions from Ph.D. students are particularly welcome. To be considered, submitted manuscripts should follow the standard template, and should not exceed the 2 pages limit. Paper submissions are encouraged in all areas of modeling and simulation as mentioned in the Call for Papers. In particular, we are seeking contributions within, but not restricted to, the following areas:

  • Simulation Methodology, Theory and Philosophy
  • Hybrid Simulation and Hybrid System Modeling
  • Simulation-based Optimization
  • Environment and Sustainability Applications
  • Simulation for logistics, Supply chain Management and Transportation
  • Simulation Education
  • Simulation Languages, Tools, and Environments
  • Numerical Simulation and Optimization as Applied to Business and Industry
  • Use of Modeling and Simulation in the Area of Computer Security
  • Machine Learning, Artificial Intelligence, Image/Video Compression/Processing and Robotic Vision, real time and embedded systems, and Multimedia Applications and Systems
  • Any Aspect of Modeling and Simulation related to the Military
  • Modeling, Analysis and Simulation of Telecommunication Systems
  • Web-based Modeling and Simulation
  • High-performance Computing and Simulation
  • Network/Internet Traffic Modeling and Workload Characterization
  • Simulation of Clusters, Grids and Wireless Systems
  • Modeling and Simulation of Real-Time and Embedded Systems
  • Parallel and Distributed Simulators and Simulation Techniques
  • Modeling and Simulation in the area of Neural Networks


Project Management and Construction

Track Coordinator: Markus König, Ruhr University Bochum

The Project Management and Construction track includes innovative research as well as practical application papers that apply computer simulation to complex project and construction management problems. Topics include, but are not limited to, the following:

  • Applications and case studies such as:
    • Managing off-site production and modularization
    • Construction layout planning
    • Human behavior and organization in construction
    • Sustainable built environment
    • Net zero energy, water and carbon
    • Project planning and control
    • Simulation as a project management education tool
    • Lean production management systems
    • Sensed environments for simulation
    • Project portfolio management
    • System optimization and control
    • Construction safety
  • Combining simulation with
    • Building Information Modeling
    • Real-time monitoring
    • Virtual and augmented reality
    • Interactive planning environments
    • Construction robotics


Simulation Education

Track Coordinator: Saikou Diallo, Old Dominion University, and Antuela Tako, Loughborough University

Simulation Education: Training and Educating the Next Generation of Scientists, Engineers, Artists, Humanists and Social Scientists

The motto of this year’s Winter Simulation Conference is “Simulation for Noble Causes”. Simulation is indeed a staple of scientific inquiry and its applications are wide-ranging. However, in order to make simulation truly ubiquitous, the challenge is to not only train and educate simulation professionals to engage and apply their knowledge to various domains but most importantly to train students and professionals in every domain to incorporate simulation in their daily activities.


The Simulation Education track is seeking papers and panels from professionals in all disciplines including but not limited to engineering, sciences, arts, humanities and social sciences to share experiments, lessons learned, projects, methods, tools and case studies on how to train and educate students, scientists, and scholars at all levels and of all kinds to adopt and incorporate simulation in their work.

Topics include, but are not limited to, the following:

  • Simulation initiatives in the Arts, Humanities, Social Sciences and Special Education
  • Simulation educational initiatives in professional societies (e.g., NMSC, ACM SIGSIM, INFORMS)
  • Simulation curriculums in K-12, professional education, trade schools and academic education
  • The use of blended learning approaches in Simulation education
  • Approaches and tools for teaching conceptual model development and Simulation
  • Game-based learning
  • Concepts for design and improvement of simulation courses



Simulation Optimization

Track Coordinators: Angel A. Juan, Open University of Catalonia, and Jie Xu, George Mason University

The Simulation Optimization track focuses on algorithms that can be coupled with computer simulations to locate specific input parameter values for the simulation that maximize or minimize a simulation performance measure of interest.  This track is interested in papers on both theoretical aspects of algorithm development and applied aspects of simulation optimization pertaining to computational performance and algorithm evaluation.  New real-world applications of simulation optimization are also of interest with more desired areas including healthcare, military and homeland security, critical infrastructure systems, cybersecurity, network applications, communications, financial engineering, and energy systems.

In regard to the methodological topic areas of interest, some of the more notable areas are listed below, although this track will not be strictly limited to this list.

  • Global and black-box optimization
  • Discrete optimization via simulation
  • Random search methods
  • Sample average approximation
  • Stochastic approximation methods
  • Model-based methods
  • Metaheuristics and Simheuristics
  • Population-based methods
  • Response surface methodology
  • Ranking & selection
  • Stochastic programming
  • Approximate dynamic programming
  • Optimal learning
  • Stochastic gradient estimation
  • Metamodels
  • Robust simulation and optimization
  • Data-driven decision making
  • Multi-objective optimization


Simulation for a Noble Cause

Track Coordinators: David Poza, University of Valladolid (SP) and George Miller, MOSIMTEC LLC

Computer simulation has increasingly been adopted as a technique for achieving results in the social sciences. Formalized models provide Science with a generative approach that allows identifying what kinds of micro-level interactions are sufficient to produce the known macro-level patterns observed in real societies. Computer simulation has also been employed to help noble causes over the recent past but such efforts have received limited attention. We invite innovative and state-of-the-art contributions that feature the application of simulation for noble causes by analyzing and addressing issues facing humanity. Applications submitted to this track may be from various domains, including but not limited to: reducing poverty and world hunger, social causes, social problems, improving natural environment, and disaster response.


Simulation Standards and Reproducibility

Track Coordinators: Simon J E Taylor, Brunel University London, and Gordon Shao, U.S. National Institute of Standards and Technology

Simulation Standards are not only important in the advancement of M&S techniques and methods but also in the way we document and report our research.  The Simulation Standards and Reproducibility track is interested in standardized approaches to development and implementation relevant to M&S. Contributions to the track are not limited to published standards and approaches to reproducibility, but also to defacto approaches adopted by areas of M&S such as manufacturing, healthcare, business, engineering, environment, and social behavior. Topics of interest include, but are not limited to, the following:

  • Simulation standards
  • Standards used in simulation applications
  • Standard approaches for input data modeling
  • Standard approaches for model transfer
  • Standard approaches for output data analysis
  • Modular simulation design
  • Reusable simulation components library
  • New ideas, concepts, and methods on reproducibility
  • Open access data
  • Open source software
  • Open Science approaches to M&S
  • Generic simulation development methodology and prototypes
  • Information modeling and interoperability for simulation systems
  • Model reuse, repositories and retrieval
  • Standardization challenges
  • Reproducibility of simulation experiments



Track Coordinator: Miguel Mujica Mota, HVA – Amsterdam University of Applied Sciences (NL), and Edward Williams, University of Michigan

The Vendor Track provides an opportunity for companies that market modeling and simulation technology and services to present their innovations and successful applications. The track is open only to companies that have paid for exhibit space at the conference.  For each reserved booth, vendors get a 45-minute time slot in the track.

For each slot, you have two options: submit a complete paper; or submit just an abstract. Papers are subject to the standard WSC submission timeline and review process and appear in the archival proceedings.  Vendor track papers should use the abstract template for submission.  Abstracts are not peer reviewed and appear online and in the final program, but not the archival proceedings.

The links for submitting papers and abstracts will be provided when you make your commitment to exhibit.

The submission process is as below:

– September 1, 2018 –  Submission deadline for extended abstracts
– September 14, 2018 –  Reviews provided to authors.
– September 21, 2018 –  Revised abstracts due. Submissions earlier than due date appreciated.
– Early October 2018 – Editing changes required to meet the formatting guidelines provided to authors
– Early October 2018 – Final version due by the date specified by the editor-in-charge of the abstract[/vc_column_text][/vc_column][/vc_row]

Track Information Coming Soon