This paper promotes a unique system dynamics-discrete event simulation hybrid modelling framework.

This paper reviews the components of a symbiotic simulation system from the perspective of hybrid systems modeling and highlights research questions needed to advance symbiotic simulation study.

We explore how to use conceptualization boards to familiarize students, teachers, parents, and the community in general with discrete-event simulations.

This paper presents a novel agent-based simheuristic approach that combines simheuristic and multi-agent system to efficiently solve stochastic combinatorial optimization problems.

The present work proposes a generic simulation model for radial networks in order to take into account data which is normally available at buses networks and, then, apply this model to the case of Caieiras city bus network redesign.

We propose to ensure the semantic validity of the fused models by carefully interlinking composition and validation steps exploiting earlier simulation experiments.

The aim of this paper is to demonstrate practical problems and benefits while applying Validation and Verification techniques, even if takes a lot of project time, as an indispensable step in guiding the modeler to solving any missed issue.

This study details a modular development of hardware and software models executing on disparate environments instead of employing a monolithic modeling method supported with a monolithic simulation engine.

In this paper, the authors describe a novel concept for reducing the number of actions by grouping similar actions together, leading to faster convergence and shorter response time of the logistics assistance system.

In this paper, the authors present an approach for utilizing domain-specific information to guide the search for promising actions and, therefore, reduce the logistics assistance systems response time.

The aim of this paper is to evaluate possible business opportunities for collaborative freight operation via discrete event simulation.

This paper focuses on the exploration of key factors contributing to designing M&S user experiences as an approach to mitigate existing thresholds and establish M&S as a means to improving people’s lives.

We present concepts and solutions for generating high-quality data using a flexible agent-based simulation tool.

We present a discrete-event simulation model to predict the effectiveness of various make-ahead drug policies utilizing data from our collaborators at the University of Michigan Rogel Cancer Center.

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This paper describes the simulation modeling of bulk petroleum supply chains through an object-oriented simulation library.

Based on a template-based approach and documentations, we show how simulation experiment specifications can be generated and executed for experiments, such as statistical model checking and sensitivity analysis, and we identify crucial challenges.

This paper describes a prototype agent-based model used to explain why and how a norm of humanitarianism diffuses through a population.

In this tutorial, we demonstrate the basic concepts important for designing and conducting simulation experiments, and provide references to other resources for those wishing to learn more. This tutorial will prepare you to make your next simulation study a simulation experiment.

In this paper, we propose a simulation model of a virtual operational technology network in power system automation for cybersecurity assessment.

In this paper, we discuss the modelling approach that we have taken to represent this dynamic feature, where resources are adjusted in simulation based on WIP situation.

In this paper, we define digital surrogate, explore their relationships to simulation, digital thread, artificial intelligence, and IoT.

This paper presents these agent-based models implementations and performance measurements over a cluster system.

In this study, we propose a model that helps to analyze the behavior of chronic disease patients with a focus on heart failure patients based on their lifestyle.

This paper describes a framework for ethical analysis of the practice of computer Modeling & Simulation (M&S). The paper concludes with a summary of guidelines for using this ethical framework when preparing, executing, and analyzing M&S activities.

This work explores automated hyperparameter optimization for approximate Bayesian computation using Bayesian optimization as an alternative to time consuming manual selection.

This paper illustrates how groups collectively search for solutions in a space under the presence of dynamic structures and individual-level learning.

This paper presents an application example for a Siemens Plant Simulation extension that makes holistic material flow and energy flow studies of factories possible.

This paper discusses many aspects of modeling that are often missed by new and aspiring simulationists.

A discrete-event simulation was built to estimate the impact e-consults have on Rheumatology clinics at Duke Health; specifically considering lead time, queue length, and specialists’ workload.

This paper introduces an extension of the well-established resource-constrained project scheduling problem to apply it to maintenance problems of highly frequented infrastructure.

This tutorial introduces PartiSim by describing the PartiSim framework and tools, some applications and example tools, a roadmap to adopting it and concludes with some tips for potential users.

In this paper, we develop an agent-based model using a bottom-up approach to build disaggregated energy demand estimates at the household level at an hourly interval.

This paper gives an overview of the current approaches to simulation interoperability, including the standardized approaches as well as contributions of simulation formalism.

This paper describes the design and application of a model simulating the passenger flows on the highspeed rail line Rail Baltica.

This paper offers an advanced tutorial on an array of recently developed algorithms that seek to tame the complexity of these models by aggregating their constituting systems of equations, leading to lower-dimensional systems that preserve the original dynamics in some appropriate, formal sense.

This paper presents a case study where simulation based optimization was employed as a step within a Value Stream Mapping event.

This paper addresses the motivation for the panel, and presents panelists’ “positions” about the way forward for education on simulation model simplification.

This tutorial introduces modeling, simulation, and testing with Statecharts. As a running example, the behaviour of a traffic light, a simple timed, autonomous, and reactive system is modeled.

This tutorial introduces the Classic Discrete Event System Specification formalism in a bottom-up fashion, using a simple traffic light example. The syntax and operational semantics of atomic (i.e., non-hierarchical) models are introduced first. Coupled models are introduced to structure and couple Atomic models.

This paper provides an overview of a hybrid, discrete event simulation agent based model, simulation model of the overdue pregnancy outpatient clinic at the Obstetrics department of Akershus University Hospital, Norway.

In this tutorial, we introduce the core concepts of Discrete Event System Specification. First, we introduce a set of informal requirements from which a formal specification is to be developed. Then, we present different modeling conventions at different levels of abstraction.

We present a cellular model solution to solve PDEs as an extension of classical numerical methods combined with the Cell-DEVS formalism.

In this tutorial we introduce Simulation Experiment Specification via a Scala Layer, a domain specific language for setting up simulation experiments.

This paper aims to provide a comprehensive introduction to the state of the art in modeling of energy and emissions in simulation of manufacturing systems.

This study proposes a Bayesian-based approach to incorporate real-time project data into simulation-based ground prediction models to improve prediction accuracy.

In this tutorial, we focus principally on discrete-event simulation – its underlying concepts, structure, and application.

This paper surveys existing literature on emergency management in China and summarizes different evacuation models, in particular, agent-based models and other models.

This paper describes the design, implementation, and early experiences with a novel agent-based simulator of online media streams, developed under DARPA’s SocialSim Program to extract and predict trends in information dissemination on online media.

We propose a methodology to simulate a cyber activity dataset, containing both cross-sectional and temporal correlations, also called Panel dataset.

Large solution space is one of the main features of simulation–optimization problems. Reducing the cardinality of the set of alternatives is a key point for increasing the efficiency of simulation–optimization methods. In this work, a new cutting approach is proposed for this purpose.

In this paper, we propose a computationally efficient method to incorporate online data in real time for input uncertainty quantification of parametric models.