Статьи 2018 года (A...N)
Alabdulkarim A.A. Simulating different levels of car class upgrades in a car rental company’s operations // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.15391550.This paper describes a generic discrete event simulation tool for studying the complex nature of a car rental company’s operations. Ahlstrand E., Buetti‐Dinh A., Friedman R. (2018). An interactive computer lab of the galvanic cell for students in biochemistry. Biochemistry and Molecular Biology Education, 46(1), pp. 5865. Ali A., Shah G., Aslam M. (2018). Model for autonomous agents in machine‐to‐machine navigation networks. International Journal of Communication Systems, 31(4), e3491.Aljazaery I.A. (2018) Developed energy protocol PWMAC to MPWMAC to save energy in Wireless Sensor Networks. Allen T.T., Liu E. Forecasting cyber maintenance costs with improved scan analytics using simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P. 12181225.This article proposes a discrete event simulation model of an organization that maintains computer hosts and incurs several millions of dollars in maintenance and incident response costs. Allen D.J.G., Murphy A., Butterfield J.M., Drummond J.S., Robb S.J., Higgins P.L., Barden J.P. Simulating the impact of external demand and capacity constraints in aerospace supply chains // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.31083119.This paper demonstrates a combined simulation and analytical modeling approach to simulate the operational and financial implications of capacity constraints in aerospace supply chains. Almagor J., Benenson I., Czamanski D. (2018). The Evolution of the Land Development Industry: An AgentBased Simulation Model. In Trends in Spatial Analysis and Modelling (P. 93120). Springer, Cham. Al Subhi N.N., Bell D. Hybrid user experience (UX) modelling in a heritage setting // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.12981309.This paper proposes a methodological framework supporting museum and collection managers in their design and simulation of heritage experiences. Al Subhi N.N., Bell D. Hybrid user experience (UX) modelling in a heritage setting // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.12981309.This paper proposes a methodological framework supporting museum and collection managers in their design and simulation of heritage experiences. Alvi M.S.Q., Mahmood I., Javed F., Malik A.W., Sarjoughian H. Dynamic behavioural modeling, simulation and analysis of household water consumption in an urban area: a hybrid approach // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.24112422.Our approach provides dualresolution expressiveness suitable for replicating realworld urban infrastructure scenarios. Andelfinger P., Chen Y., Su B., Cai W., Zehe D., Eckhoff D., Knoll A. Incremental calibration of seat selection preferences in agentbased simulations of public transport scenarios // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.833844.Anderson T., Dragicevic S. (2018). Deconstructing Geospatial AgentBased Model: Sensitivity Analysis of Forest Insect Infestation Model. In AgentBased Models and Complexity Science in the Age of Geospatial Big Data (P. 3144). Springer, Cham. Anderson W., Kobold K., Yakimenko O. (2018). Employing Systems Engineering Tools to Analyze Green Microgrids for Remote Islands. World Academy of Science, Engineering and Technology, International Journal of Energy and Power Engineering, 5(6).Antoniou V., Schlieder C. (2018). Addressing Uneven Participation Patterns in VGI Through Gamification Mechanisms. In Geogames and Geoplay (pp. 91110). Springer, Cham. Aringhieri R., Bocca S., Casciaro L., Duma D. A simulation and online optimization approach for the realtime management of ambulances // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.25542565.Aros S.K., Gibbons D.E. Developing an agentbased simulation model of the use of different communication technologies in interorganizational disaster response coordination // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.6879.This research focuses on communications among a variety of organizations that coordinate their rapid responses to catastrophic disasters. Augusto V., Viallon A., Murgier M. A modelling and simulation framework for intelligent control of emergency units in the case of major crisis // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.24952506.Aurambout J.P., Endress A.G. (2018). A model to simulate the spread and management cost of kudzu (Pueraria montana var. lobata) at landscape scale. Ecological Informatics, 43, pp.146156.Bae J.W., Paik E., Kang D., Jung J., Lee C.H. Simulation framework for selfevolving agentbased models: a case study of housing market model // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P. 11201131.This paper introduces a housing agentbased modeling, and the case study using this model shows that the accuracy of the model prediction was significantly increased through the selfevolving process. Baeza A., Janssen M.A. (2018). Modeling the decline of laborsharing in the semidesert region of Chile. Regional Environmental Change, 18(4), pp. 11611172.Barring M., Johansson B., FloresGarcía E., Bruch J., Wahlstrom M. Challenges of data acquisition for simulation models of production systems in need of standards // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.691702.In this paper, we analyze the challenges in data acquisition for simulation models of production systems based on two cases from the robotics and aerospace industries. Barros F.J. Composition of numerical integrators in the HyFlow formalism // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P. 12381249.Barros F.J. Modular simulation of 2ndorder energy preserving systems // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.13101321.Barton R.R., Lam H., Song E. Revisiting direct bootstrap resampling for input model uncertainty // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.16351645.Batata O., Augusto V., Xie X. Mixed machine learning and agentbased simulation for respite care evaluation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.26682679.In this article we propose a mixed machine learning and agentbased simulation for respite care evaluation taking into account smart admission policies. Bazan P., Djanatliev A., Pruckner M., German R., Lauer C. Rebalancing and fleet sizing of mobilityondemand networks with combined simulation, optimization and queueing network analysis // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.15271538.We present a simulation model combined with optimization and queueing network analysis for mobilityondemand networks with oneway car sharing. Berea A. (2018). Constructed Language Versus Biochemical Communication: An AgentBased Model and Applications. In Emergence of Communication in SocioBiological Networks (pp. 3149). Springer, Cham. Benedicto M.I., Morales R.M.G., Marino J., de los Santos F. A decision support tool for port planning based on Monte Carlo simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.28852896.Berg B., Longley G., Dunitz J. Use of simulation to evaluate resource assignment policies in a multidisciplinary outpatient clinic // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.26462655.We present a discreteevent simulation model based on the daily operations of an outpatient clinic where multiple specialties share resources including support staff, exam rooms, and ancillary providers. Berndt J.O., Rodermund S.C., Timm I.J. Social contagion of fertility: an agentbased simulation study // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.953964.Bicher M., Urach C., Popper N. GEPOC ABM: a generic agentbased population model for Austria // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.26562667.Biller B., Mokashi A.C. Propagation of input uncertainty in manufacturing process flow simulations // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.31443155.We consider a discreteevent stochastic simulation that represents a generic manufacturing process flow and assume the availability of limited knowledge about part interarrival times and machine processing times. Biswas A., Fujimoto R., Hunter M. Energy efficient middleware for dynamic data driven application systems // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.628639.This work describes the Green Runtime Infrastructure, an energyefficient client server based middleware developed to support distributed Dynamic Data Driven Application Systems simulation, emulation and deployment. Blas M.J., Gonnet S.M., Leone H.P., Zeigler B.P. A conceptual framework to classify the extensions of DEVS formalism as variants and subclasses / Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.560571.This paper presents a conceptual modeling perspective applied to DEVS extensions that structure a framework over the traditional modeling and simulation approach. Blasch E. DDDAS advantages from highdimensional simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.14181429.The paper provides a motivation, explanation, and literature review of Dynamic Data Driven Applications Systems (DDDAS). Bonaventura M., Castro R. Fluidflow and packetlevel models of data networks unified under a modular/hierarchical framework: speedups and simplicity, combined // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.38253836.In this work, we present a novel modeling methodology and simulation tool to unify the experience of designing network simulation models both with fluidlevel and packetlevel techniques under a single modular and hierarchical formal framework. Bonaventura M., Castro R., Jonckheere M. Simulation study of dynamic load balancing for processor sharing servers with finite capacity under generalized HalfinWhitt regimes // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.38853896.Bortolussi L., Sanguinetti G., Silvetti S. Bayesian statistical parametric verification and synthesis by machine learning // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.381394.We consider the problem of parametric verification, presenting a recent statistical method to perform parametric verification of linear time properties of stochastic models, estimating the satisfaction probability as a function of model or property parameters. Botev Z., Chen Y.L., Lecuyer P., MacNamara S., Kroese D.P. Exact posterior simulation from the linear LASSO regression // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.17061717.In this paper we construct a method that yields an independent and identically distributed (iid) draws from the LASSO posterior. Boyd R., Roy S., Sibly R., Thorpe R., Hyder K. (2018). A general approach to incorporating spatial and temporal variation in individualbased models of fish populations with application to Atlantic mackerel. Ecological Modelling, 382, 917.Brelsford J., Parakh S. A systems modeling approach to analyzing human trafficking // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.1221.This paper offers a process for understanding and analyzing the most effective interventions for eliminating human trafficking. Brilliantova A., Pletenev A., Doronina L., Hosseini H. (2018). An agentbased model of an endangered population of the Arctic fox from Mednyi Island. Moscow University, University of Munster, Rochester Institute of Technology. Broniatowski D.A., Moses J. (2018). The Flexibility of Generic Architectures: Lessons from the Human Nervous System. In Disciplinary Convergence in Systems Engineering Research (pp. 585598). Springer, Cham. Burrows A., French D. (2018). Evidence of Science and Engineering Practices in Preservice Secondary Science Teachers’ Instructional Planning Journal of Science Education and Technology, (p. 114). Carillo M., Cordasco G., Serrapica F., Scarano V., Spagnuolo C., Szufel P. (2018). Distributed simulation optimization and parameter exploration framework for the cloud. Simulation Modelling Practice and Theory, 83, pp. 108123.Castillo E.A., Trinh M.P. (2018). In search of missing time: A review of the study of time in leadership research. The Leadership Quarterly, 29(1), pp. 165178.Ceresoli J.D., Kuhl M.E. A simulation framework for the design and analysis of healthcare clinics // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.26362645.In this paper, we focus on the operational aspects of clinics that will impact clinic design decisions relative to productivity, efficiency, and quality of patient care. Chareunsy A.K. (2018). Diffusion of development initiatives in a southern Lao community: An agent based evaluation. Journal of Asian Economics, 54, pp. 5368.Chaudhari K.S., Kandasamy N.K., Krishnan A., Ukil A., Gooi H.B. (2018). Agent Based Aggregated Behavior Modelling For Electric Vehicle Charging Load. IEEE Transactions on Industrial Informatics.Chen H., Schmeiser B. MISEoptimal grouping of pointprocess data with a constant dispersion ratio // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.15631574.Chen Y., Wu C.L., Lau P.L., Tang N.Y.A. Simulating passenger’s shopping behavior at airport with a conceptual agentbased model // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.23422353.This paper presents a conceptual agentbased simulation model on passengers shopping behavior in the airport context. This model attempts to investigate the relationship between terminal design and retail performance through different scenarios studies. Chennupathi G., Eidenbenz S., Long A., Tkachenko O., Zerr J., Liu J. IMCSim: parameterized performance prediction for implicit Monte Carlo codes // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.491502.In this paper, we design an application model (IMCSim) of an Implicit Monte Carlo (IMC) particle code using the Performance Prediction Toolkit, a discreteevent simulationbased modeling framework for predicting code performance on a large range of parallel platforms. Chumachenko D., Dobriak V., Mazorchuk M., Meniailov I., Bazilevych K. (2018, February). On agentbased approach to influenza and acute respiratory virus infection simulation. In Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET), 2018 14th International Conference on (P. 192195). IEEE.Clapp J.D. (2018). The Promise of Systems Science in Health Behavior Research: The Example of Studying Drinking Events. Health Behavior Research. Vol. 1: No. 2. https://doi.org/10.4148/25721836.1019.Comer K.T. An agentbased computational model of the individual health insurance market // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.9891000.This paper focuses on constructing an abstract baseline model of agents, simulating buyers and sellers of health insurance, in the individual health insurance market. Condro A., Pawitan H., Risdyanto I. (2018). Predicting drought propagation within peat layers using a three dimensionally explicit voxel based model (pp. 149). IOP Conference: earth Envionmental Science. Crittenden J., Fujimoto R., Lu Z., Pecher P. (2018). Granular Cloning: IntraObject Parallelism in Ensemble Studies Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, Pages 165176.CucartMora C., Lozano S., de Pablo J. F. L. (2018). Biocultural interactions and demography during the Middle to Upper Palaeolithic transition in Iberia: An agentbased modelling approach. Journal of Archaeological Science, 89, pp. 1424.Currie C.S.M., Monks T. Modeling diseases: prevention, cure and management // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.440454.In this article, we describe modeling of both communicable and noncommunicable diseases, and provide a review of the relevant literature. Daeichian A., Haghani A. (2018). Fuzzy QLearningBased Multiagent System for Intelligent Traffic Control by a Game Theory Approach. Arabian Journal for Science and Engineering, 17. David I., Vangheluwe H., Van Tendeloo Y. Translating engineering workflow models to DEVS for performance evaluation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.616627.In this paper, we provide an automated translation from engineering workflow models to DEVS (Discrete Event System Specification) models, useful for simulation and subsequent performance evaluation. Davis B. (2018). Complexity as a Discourse on School Mathematics Reform. In Transdisciplinarity in Mathematics Education (P. 7588). Springer, Cham.De la Fuente R., Erazo I., Smith R.L. Enabling intelligent processes in simulation utilizing the tensorflow deep learning resources // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.11081119.This paper demonstrates the integration of discrete event simulation with a deep learning resource, known as TensorFlow, to enable intelligent decision making in the form of smart processes. Derennes P., Morio J., Simatos F. Estimation of moment independent importance measures using a copula and maximum entropy framework // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.16231634.This paper aims at presenting a new estimation scheme valid for dependent model inputs. De Rouck R., Debacker M., Hubloue I., Koghee S., Utterbeeck F.V., Dhondt E. SIMEDIS 2.0 : on the road toward a comprehensive mass casualty incident medical management simulator // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.27132724.In this paper a discrete event simulation model is described, designed to analyze prehospital policies and commonly made decisions. de Souza R., William L., Timperio G., Rahim Z.B.A. Simulation model and simulationbased serious gaming in humanitarian logistics // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.5767.We develop a simulation model for humanitarian logistics preparedness and a simulationbased serious game to raise awareness and provide accessibility on humanitarian logistics research to a wider audience. The simulation model aims to optimize the network configuration for prepositioning stocks of lifesaving goods in Indonesia. Despeisse M. Games and simulations in industrial engineering education: a review of the cognitive and affective learning outcomes // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.40464057.Diallo S.Y., Lynch C.J., Rechowicz K.J., Zacharewicz G. How to create empathy and understanding: narrative analytics in agentbased modeling // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P. 12861297.In this paper we propose a different approach for interacting and analyzing agentbased models. Dingec K.D., Alexopoulos C., Goldsman D., Meterelliyoz M., Wilson J.R. Multiply reflected variance estimators for simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.16701681.Dorsey J.W., Hardy L.C. (2018). Sustainability factors in dynamical systems modeling: Simulating the nonlinear aspects of multiple equilibria. Ecological Modelling, 368, pp.6977.Drezewski R. (2018). The AgentBased Model and Simulation of Sexual Selection and Pair Formation Mechanisms. Entropy 20(5), p. 342. doi:10.3390/e20050342.Du X., Chen Y., Bouferguene A., AlHussein M. Multiagent based simulation of elderly egress process and fall accident in senior apartment buildings // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.929940.This paper first applies Multiagent Based Simulation supported by NetLogo to simulate the evacuation scenarios where evacuees are all elderly people, then statistical analysis is utilized to interpret results, and comparative analysis is conducted to offer some suggestions for egress design and crowd management. Dubovi I., Dagan E., Mazbar O.S., Nassar L., Levy S.T. (2018). Nursing students learning the pharmacology of diabetes mellitus with complexitybased computerized models: A quasiexperimental study. Nurse education today, 61, pp. 175181.Eckman D.J., Henderson S.G. Guarantees on the probability of good selection // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.351362.This tutorial provides an overview of guarantees on the probability of good selection (PGS), i.e., statistical guarantees on selecting – with high probability – an alternative whose expected performance is within a given tolerance of the best. We discuss why PGS guarantees are superior to more popular, related guarantees on the probability of correct selection under the indifferencezone formulation. Elbattah M., Molloy O., Zeigler B.P. Designing care pathways using simulation modeling and machine learning // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.14521463.This paper presents a framework that incorporates simulation modeling along with machine learning for the purpose of designing pathways and evaluating the return on investment of implementation. Elbert R., Friedrich C. Simulationbased evaluation of urban consolidation centers considering urban access regulations // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.28272838.This paper presents an agentbased simulation to assess the impact of urban access regulations on the costattractiveness of Urban Consolidation Centers for carriers. Eldabi T., Brailsford S., Djanatliev A., Kunc M., Mustafee N., Osorio A.F. Hybrid simulation challenges and opportunities: a lifecycle approach // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.15001514.This paper reports on a comprehensive review conducted by the panelists on hybrid simulation and its applications. El Hachami K., Tkiouat M. (2018, April). An approach for modeling the economy as a complex system using agentbased theory. In Intelligent Systems and Computer Vision (ISCV), 2018 International Conference on (pp. 16). IEEE.EL Hachem W., De Giovanni P. Transition to alternative fuel vehicles: a distributive justice perspective // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.111122.In this paper, we build a system dynamics model to investigate the ongoing endeavor to transition from conventional nonrenewable transportation systems to renewable ones. The model focuses on light to mid duty vehicles in the private transportation sector. Erickson C.B., Ankenman B.E., Plumlee M., Sanchez S.M. Gradient based criteria for sequential design // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.467478.In this paper we present an algorithm that adaptively runs a simulation experiment that focuses on finding areas of the response surface with a large gradient while also gathering an understanding of the entire surface. Felberbauer T., Hubl A., Altendorfer K., Gattringer J. Strategic supply chain design for an austrian winter road service provider // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.31203131.In this paper, the strategic supply chain design of a winter service provider in Austria is investigated. Feldkamp N., Bergmann S., Strassburger S., Borsch E., Richter M., Souren R. Combining data farming and data envelopment analysis for measuring productive efficiency in manufacturing simulations // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.14401451.We developed a concept of combining our existing approach of data farming and visual analytics with data envelopment analysis, which is used to investigate efficiency in operations research and economics. Feldman T. (2018). Unwinding ZIRP: A simulation analysis. Finance Research Letters, 24, pp.278288.Feng K., Chen S., Lu W. Machine learning based construction simulation and optimization // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.20252036.Feng M. B., Maggiar A., Staum J., Wachter A. Uniform convergence of sample average approximation with adaptive multiple importance sampling // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.16461657.We study sample average approximations under adaptive importance sampling in which the sample densities may depend on previous random samples. Frigerio N., Matta A., Lin Z. Multifidelity models for decomposed simulation optimization problems // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.22372248.
Frohlich A.A., Resner D. Datacentric cyberphysical systems design with SmartData // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P. 12621273. In this paper, we propose a strategy to design complex CyberPhysical Systems by modeling their data using the SmartData construct, which, besides encompassing means to handle the aforementioned requirements, also defines the concept of data expiry to guide scheduling decisions.
Frydenlund E., Foytik P., Padilla J.J., Ouattara A. Where are they headed next? Modeling emergent displaced camps in the DRC using agentbased models // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.2232. The paper describes a prototype agentbased model used to predict the spontaneous settlements that can arise among internally displaced forced migrants in the Democratic Republic of the Congo.
Fu M.C. Monte Carlo tree search: a tutorial // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.222236. In this tutorial, we provide an introduction to Monte Carlo tree search, including a review of its history and relationship to a more general simulationbased algorithm for Markov decision processes published in a 2005 Operations Research article; a demonstration of the basic mechanics of the algorithms via decision trees and the game of tictactoe; and its use in AlphaGo and AlphaZero.
Fujimoto R., Barjis J., Blasch E., Cai W., Jin D., Lee S., Son Y.J. Dynamic data driven application systems: research challenges and opportunities // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.664678.
Galán S.F., Mengshoel O.J. (2018). Neighborhood beautification: Graph layout through message passing. Journal of Visual Languages & Computing, 44, pp.7288.
Gaku R., Takakuwa S. Simulation analysis of largescale shuttle vehicletype miniload AS/RS systems // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.29662976.
Galpin V., Georgoulas A., Loreti M., Vandin A. Statistical analysis of carma models: an advanced tutorial // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.395409. This advanced tutorial will introduce some of the theory behind Collective Adaptive Resourcesharing Markovian Agents) and MultiVeStA as well as demonstrate its application to collective adaptive system modeling.
Gamber T., Zulch G. Proach to improve the worklife balance of employees using agentbased planning and simulationbased evaluation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.977988.
Gao X., Li K., Chen B. (2018). Invulnerability Measure of a Military Heterogeneous Network Based on Network Structure Entropy. IEEE Access, 6, pp.67006708.
Garee M.J., Wan H., Chan W.K.V. Regressionbased social influence networks and the linearity of aggregated belief // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.941952.
Gerrits B., Mes M., Schuur P. A simulation model for the planning and control of agvs at automated container terminals // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.29412952. This paper presents a scalable and flexible agentbased simulation model for the planning and control of AGVs at automated container terminals.
Ghasemi A., Heavey C., Laipple G. A review of simulationoptimization methods with applications to semiconductor operational problems // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.36723683. In this paper, we first distinguish between different users of simulation optimization then consider different approaches of simulation optimization applied to semiconductor and other manufacturing problems.
Glasserman P., de Larrea E.L. Simulation of bipartite or directed graphs with prescribed degree sequences using maximum entropy probabilities // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.16581669. We propose an algorithm for simulating bipartite or directed graphs with given degree sequences, motivated by the study of financial networks with partial information.
Glynn P.W., Lam H. Constructing simulation output intervals under input uncertainty via data sectioning // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.15611562. We study the problem of constructing confidence intervals (CIs) for simulation outputs in the presence of input uncertainty, where the constructed CIs capture both the statistical noises from the simulation replications and the input data.
Goldstein R., Breslav S., Khan A. A symmetric formalism for discrete event simulation with agents // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.584595. This paper defines the mathematical elements of Symmetric DEVS and presents an example of each of the four types of nodes.
GómezCruz N.A., Loaiza Saa I., Ortega Hurtado F.F. (2018). Agentbased simulation in management and organizational studies: a survey. European Journal of Management and Business Economics, 26(3), pp.313328.
Gongora D.A., Baquero J.J.D., Franco J.F., Mura I. Simulation to predict cyclists’ exposure to air pollution along bikeways // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.23872398. This study aims at producing estimates for Quinto Centenario users exposure to particulate matter. We simulated the movement of bikers along the planned route, and we used air quality data collected by a monitoring network to estimate the pollution concentration bikers will be exposed to.
Granberg T.A., Nguyen H.T.N. Simulation based prediction of the nearfuture emergency medical services system state // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.25422553. An ambulance dispatcher decides which ambulances to allocate to new calls, and how to relocate ambulances in order to maintain a good coverage. Doing this, it is valuable to have information about the future expected response times in different parts of the area of responsibility, as well as the expected number of available ambulances. We present a simulation model that can be used to predict this, and compare the results to a naïve forecasting model.
Gutenschwager K., Wilhelm B., Volker S. Speeding up simulationbased optimization of supply networks by means of a multipopulation genetic algorithm and reuse of partial solutions // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.30363047. The paper discusses the use of simulationbased optimization for solving this task in a performant manner.
Haidai B., Artiukh R., Maleeva O. Analysis and modelling the preferences of social networks users (Анализ и моделирование предпочтений пользователей социальных сетей) // Innovative technologies and scientific solutions for industries. 2018. N. 1 (3). P. 5–12. Предметом исследования в статье являются модели и технологии анализа процессов формирования лояльности и предпочтений пользователей социальных сетей. Используются следующие методы исследования – методы имитационного моделирования, методы Laravel и YouTube Data and Analytics API.
Han S., Huang H., Luo Z., Foropon C. (2018). Harnessing the power of crowdsourcing and Internet of Things in disaster response. Annals of Operations Research, 116. https://doi.org/10.1007/s1047901828841.
Hannon C., Jin D., Santhi N., Eidenbenz S. Justintime parallel simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.640651. In this paper, we explore some challenges and design strategies in developing a high performance parallel discrete event simulation engine, called Simian, written with interpreted languages with JIT capabilities, including Python, Lua, and Javascript.
Haris M., Mahmood I., Badar M., Alvi M.S.Q. Modeling safest and optimal emergency evacuation plan for largescale pedestrians environments // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.917928. We propose a modeling framework for largescale evacuation of pedestrians during emergency situation.
Head B., Wilensky U. (2018). Agent cognition through microsimulations: Adaptive and tunable intelligence with NetLogo LevelSpace. In: Morales A., Gershenson C., Braha D., Minai A., BarYam Y. (eds) Unifying Themes in Complex Systems IX. ICCS 2018. Springer Proceedings in Complexity. Springer, Cham.
Hebert G. A., Perez L., Harati S. (2018). An AgentBased Model to Identify Migration Pathways of Refugees: The Case of Syria. In AgentBased Models and Complexity Science in the Age of Geospatial Big Data (P. 4558). Springer, Cham.
Herajy M., Heiner M. An improved simulation of hybrid biological models with many stochastic events and quasidisjoint subnets // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.13461357. In this paper, we present an improved hybrid simulation method which takes advantage of the hybrid rejectionbased stochastic simulation algorithm, a variant of the hybrid simulation approach.
Higgins M., Ladbrook J. Ford’s power train operations: changing the simulation environment 2 // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.33083318. At the 2001 Winter Simulation Conference, the progress of simulation in Ford Motor Company’s PowerTrain Manufacturing Engineering (PTME) department was documented in a paper that focused on the contributions of the department in changing the simulation environment at Ford. This paper reviews the progress, changes, and issues in the intervening years experienced by the UKbased PTME simulation team.
Hofmann M.A., MeyerNieberg S., Uhlig T. Inferential statistics and simulation generated samples: a critical reflection // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.479490.
Huang L., Chen J., Zhu Q. Distributed and optimal resilient planning of largescale interdependent critical infrastructures // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.10961107.
Huang Z., Lam H., Zhao D. Designing importance samplers to simulate machine learning predictors via optimization // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.17301741.
Humann J., Jin Y., Madni A.M. (2018). Scalability in SelfOrganizing Systems: An Experimental Case Study on Foraging Systems. In Disciplinary Convergence in Systems Engineering Research (pp. 543557). Springer, Cham.
Ionesi A., Jouffroy J. Online parameter estimation of reducedorder models for buildings energy dynamics using the modulating function method // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.503514. This paper considers parameter estimation of a reducedorder model for building energy dynamics using the modulating function method.
Jia M., Srinivasan R.S., Ries R., Bharathy G. Exploring the validity of occupant behavior model for improving office building energy simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.39533964. This paper proposes an approach to modeling occupant behaviors in office buildings via the design of a novel agentbased modeling and relevant data collection for model testing and validation.
Jiang W.X., Nelson B.L. Better input modeling via model averaging // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.15751586. In this paper we show that frequentist model averaging can also be implemented in the quantile space, leading to fits that emphasize tail behavior.
Jianyu Z., Baizhou L., Xi X., Guangdong W., Tienan W. (2018). Research on the characteristics of evolution in knowledge flow networks of strategic alliance under different resource allocation. Expert Systems with Applications, 98, pp.242256.
Jing L., Chen B., Zhang B., Ye X. (2018). Modeling marine oily wastewater treatment by a probabilistic agentbased approach. Marine pollution bulletin, 127, pp.217224.
Jones K., Morris J., Bobashev G., Subramanian S. Parameterization and calibration of microsimulation model for cervical cancer and HIV in Zambia // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.10131024.
Jones A., Shao G., Riddick F. Enabling control system and cloudbased simulation service interoperability // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.703714. In this paper, we focus on the control problems, which we represent as a multilayer process graph. The nodes in this graph are control functions, which are cognitive in nature and can be executed by different agents.
Jove J.F., Petit A.G., CasanovasGarcía J. Modelling and analysis of intermodal passenger operations in a cruise terminal // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.15151526. In this paper we present a discrete event simulation model of a cruise terminal for decision support and strategic planning.
Kaligotla C., Lindau S., Ozik J., Abramsohn E., Collier N., Huang E., Macal C.M. Modeling an informationbased community health intervention on the south side of Chicago // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.26002611. We describe the development and application of a model that simulates the impact of CommunityRx, an informationbased health intervention, on the utilization of communitybased resources.
Kaligotla C., Macal C.M. A generalized agent based framework for modeling a blockchain system // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.10011012. We describe an agentbased conceptual model of a Blockchain system.
Karanci A., VelásquezMontoya L., PaniaguaArroyave J.F., Adams P.N., Overton M.F. (2018). Beach Management Practices and Occupation Dynamics: An AgentBased Modeling Study for the Coastal Town of Nags Head, NC, USA. In Beach Management ToolsConcepts, Methodologies and Case Studies (pp. 373395). Springer, Cham.
Kashefi A., Alwzinani F., Bell D. Perspectives on teaching modeling and simulation in a department of computer science // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.40584068. In this paper, we share our approach to teaching conceptual model development and simulation modeling at a Department of Computer Science in the UK.
Klein I., Levy N., BenElia E. (2018). An agentbased model of the emergence of cooperation and a fair and stable system optimum using ATIS on a simple road network. Transportation research part C: emerging technologies, 86, pp.183201.
Koch A. (2018). Dynamic Relationships Between Human Decision Making and Socionatural Systems. In Trends in Spatial Analysis and Modelling (P. 121141). Springer, Cham.
Konovalov M., Razumchik R. Revisiting M/D/1/N FIFO queue with renovation // Технологии и математическое моделирование (ИТММ2018): Материалы XVII Международной конференции имени А.Ф. Терпугова (10−15 сентября 2018 г.). – Томск: Издво НТЛ, 2018. – 442 с. ISBN 9785895036211. С.2225.
Korb S., Sacks R. Towards multiproject simulation of a lean production system for customized apartment buildings // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.38973908.
Kraub D., Paus F., Vahrenkamp N., Asfour T., Andelfinger P. Evaluating and optimizing componentbased robot architectures using network simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.10611072.
Kulkarni K., Lau H.C., Wang H., Sivabalasingam S., Tran K.T. Design and implementation of decision support for traffic management at multipurpose port gates // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.29092920. In this paper, we describe the design and implementation of a decision support tool to help gate operators plan for future scenarios with fluctuating demand and limited resources.
Kurahashi S. (2018, June). AgentBased Gaming Approach for Electricity Markets. In KES International Symposium on Agent and MultiAgent Systems: Technologies and Applications (pp. 311320). Springer, Cham.
Kusturica W., Laroque C., Gliem D., Stolipin J., Wenzel S. Estimating process duration and safeguard project planning in a oneofakind production environment by the use of simulation techniques // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.39093920. This paper covers some ideas of the joint research project SimCast of the Universities of Kassel and the University of Applied Sciences Zwickau. The paper describes possible scenarios for the use of simulation techniques in this setting, based on gained experience.
Laipple G., DauzerePeres S., Ponsignon T., Vialletelle P. Generic data model for semiconductor manufacturing supply chains // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.36153626. This paper presents a common conceptual data model for semiconductor supply chains, developed in close collaboration by three European semiconductor manufacturers.
Lalbakhsh P., MakHau V., Seguin R., Nguyen V., Novak A. Capacity analysis for aircrew training schools  estimating optimal manpower flows under time varying policy and resource constraints // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.22852296. This paper describes such an approach for a flexible, interactive capacity analysis simulator with an embedded integer linear programming optimiser.
Lam H., Qian H. Subsampling variance for input uncertainty quantification // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.16111622. This paper investigates a subsampling framework as a computation saver.
Lather J.I., Messner J.I. Framework for a hybrid simulation approach for an integrated decision support system in healthcare facilities // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.14061417. In this paper, we discuss three techniques: mathematical optimization, discrete event simulation, and virtual visualization, and present a framework for using them in an integrated hybrid simulation modeling approach in the healthcare planning process.
Lauer T., Schoner M., Jankowiak F., Ehm H. Application of hysteresis for stable segmentation within digitalized supply chain management // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P. 11441155.
LazarovaMolnar S., Markoska E., Mohamed N. A zoning framework for enhanced smart building automation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.39773986. In this paper we define a Zoning Framework for enhanced and, potentially, optimal automation of buildings that utilizes the potential of human interaction and its multifaceted nature in optimizing on the various performance metrics of buildings.
Leathrum J. F., Mielke R.R., Shen Y., Harry J. Academic/industry educational lab for simulationbased test & evaluation of autonomous vehicles // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.40264037. This paper discusses the benefits of a collaborative laboratory being developed in support of the modeling and simulation engineering program at Old Dominion University.
Lebherz D.S., Lorig F., Timm I.J. Agentbased modeling and simulation of individual elderly care decisionmaking // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.10251036.
Lecuyer P., Botev Z.I., Kroese D.P. On a generalized splitting method for sampling from a conditional distribution // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.16941705. We study the behavior of a splitting method for sampling from a given distribution conditional on the occurrence of a rare event.
L’Ecuyer P., Gustavsson K., Olsson L. Modeling bursts in the arrival process to an emergency call center // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.525536.
Lee J.Y., Dietz J.E., Ostrowski K. Agentbased modeling for casualty rate assessment of large event active shooter incidents // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.27372746. Our model represents a general densely populated area, such as public transportation terminal or indoor arena.
Lemos C.M. (2018). Model Exploration and Computer Experiments. In AgentBased Modeling of Social Conflict (P. 65111). Springer, Cham.
Lemos C.M. (2018). ABM of Civil Violence: ODD Description. In AgentBased Modeling of Social Conflict (P. 5163). Springer, Cham.
Li X., Khattak A.J. Largescale incidentinduced congestion: enroute diversions of commercial and noncommercial traffic under connected and automated vehicles // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P. 11321143.
Li X., Kizito R., Paula T.I. An agentbased simulation framework for supply chain disruptions and facility fortification // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.821832.
Li M.P., Sankaran P., Kuhl M.E., Ganguly A., Kwasinski A., Ptucha R. Simulation analysis of a deep reinforcement learning approach for task selection by autonomous material handling vehicles // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.10731083.
Lidberg S., Pehrsson L., Ng A.H.C. Using aggregated discrete event simulation models and multiobjective optimization to improve realworld factories // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.20152024. This paper shows how a realworld factory flow can be optimized by applying the previously mentioned aggregation techniques in combination with multiobjective optimization using an experimental approach.
Liew C.W., Phuong T., Jones C.B., Evans S., Hoot J., Weedling K., ... & Kurt R.A. (2018). A computational approach to unraveling TLR signaling in murine mammary carcinoma. Computers in biology and medicine, 93, pp.5665.
Liu S., Xu J.C., Liu G., Xue H., Bishai D., Wang Y. Evaluating costeffectiveness of treatment options for diabetes patients using system dynamics modeling // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.25772588. We developed a system dynamic model to study the costeffectiveness of different diabetes treatment options.
Liukkonen L., Ayllón D., Kunnasranta M., Niemi M., NabeNielsen J., Grimm V., Nyman A.M. (2018). Modelling movements of Saimaa ringed seals using an individualbased approach. Ecological Modelling, 368, pp.321335.
LopezParez A., RuizMartin C., Wainer G. (2018). Formal Abstract Modeling of Dynamic Multiplex Networks. Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, pp.6172. Rome, Italy.
Lu M., Hasan M. Productivity improvement in operating autonomous plants subject to random breakdowns in construction // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.38853896. This paper presents a practical Monte Carlo simulationbased method to develop autonomous plants operations and maintenance programs.
Lugaresi G., Matta A. Realtime simulation in manufacturing systems: challenges and research directions // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.33193330. This paper analyses the current research context with a brief state of the art on existing approaches, includes considerations about the issues for implementing RealTime Simulation concepts and their current state of development.
Lyi U., Fu M.C. European option pricing with stochastic volatility and jumps: comparison of Monte Carlo and fast fourier transform methods // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.16821693. In this paper, European option prices are computed analytically, as well as simulated, for underlying asset price models with stochastic volatility and jump discontinuities.
Macal C.M. Tutorial on agentbased modeling and simulation: ABM design for the zombie apocalypse // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.207221. This brief tutorial introduces agentbased modeling by describing key concepts of ABM and addressing toolkits and methods for developing agentbased models.
Macal C.M., Collier N.T., Ozik J., Tatara E.R., Murphy J.T. ChiSIM: an agentbased simulation model of social interactions in a large urban area // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.810820. We discuss technical approaches to largescale urban modeling including development of synthetic populations, efficiency gains through distributed processing, logging and analysis of simulation results, and visualization.
Malishev M., Bull C.M., Kearney M.R. (2018). An individual‐based model of ectotherm movement integrating metabolic and microclimatic constraints. Methods in Ecology and Evolution, 9(3), pp.472489. https://doi.org/10.1111/2041210X.12909.
Marcosig E.P., Castro R. DEVSoverROS (DoveR): a framework for simulationdriven embedded control of robotic systems based on model continuity // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P. 12501261.
Martin N. Bringing students to practice: performing a reallife simulation study in an introductory simulation course // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.40144025.
Martin N., Depaire B., Caris A. A synthesized method for conducting a business process simulation study // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.276290. In this tutorial, a method to perform a simulation study is proposed, which consists of nine steps and uses continuous assessment as a central feedback mechanism.
MartinezMoyano I.J. A primer for system dynamics modeling and simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.261275. This paper discusses the use and applications of system dynamics modeling, general lessons related to how and when to use this approach, and relevant tools.
Matkovic K., Gracanin D., Hauser H. Visual analytics for simulation ensembles // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.321335. In this work, we describe the basics of interactive visual analysis, several approaches to interactive ensemble steering, and means for results quantification and analysis reproducibility.
Mayangsari L., Pasaribu N. (2018). Understanding Unlawful Behavior in Music Industry Using AgentBased Modelling and Simulation: A Complementary of Misconception in Value CoCreation. World Academy of Science, Engineering and Technology, International Journal of Industrial and Manufacturing Engineering, 5(4).
Mayer T., Uhlig T., Rose O. Simulationbased autonomous algorithm selection for dynamic vehicle routing problems with the help of supervised learning methods // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.30013012.
McHaney R. Simulation education in nonsimulation courses // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.40384045. In many curricula and degree programs, simulation courses are not required, but these tools and techniques could be beneficial to students preparing for a variety of careers. The paper describes two examples of simulation education embedded into broader course topics from a development perspective.
Mesabbah M., McKeever S. Presenting a hybrid processing mining framework for automated simulation model generation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.13701381. This paper presents a novel approach to the hybridization of process mining techniques with business process modelling and simulation methods.
Meyer T., Helms T., Warnke T., Uhrmacher A.M. Runtime code generation for interpreted domainspecific modeling languages // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.605615.
Mielczarek B., Zabawa J., Dobrowolski W. The impact of demographic trends on future hospital demand based on a hybrid simulation model // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.14761487. This study examines how changes in the age structure of Polish population inhabiting an administrative region, the Wrocław region, will affect the demand for healthcare services during the period 2016–2017.
Moallemi E.A., Elsawah S., Turan H.H., Ryan M.J. Multiobjective decision making in multiperiod acquisition planning under deep uncertainty // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.13341345. The article incorporates robust optimization for the treatment of uncertainty inside the simulation multiobjective optimization process where the robustness of different acquisition strategies in future scenarios is analyzed by running many simulations.
Moallemi E.A., Elsawah S., Ryan M.J. Towards an analytical framework for experimental design in exploratory modeling // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.455466. This article investigates which dimensions and what methods should be considered for an appropriate design of experiments in exploratory modeling.
Moore T.A., McConnell B.M., Wilson J.R. Simulationbased evaluation on integrating additive manufacturing capability in a deployed military environment // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.37213729. This article develops a datadriven forecast of repair parts for the M109A6 Paladin selfpropelled 155 mm howitzer, and this forecast drives a discreteevent simulation to assess requirements for Additive Manufacturing to be a feasible part of the U.S. Army’s expeditionary supply chain.
Morrice D.J., Bard J.F., Mehta H., Sahoo S., Arunachalam N.B., Venkatraman P. Using simulation to design a worklife integrated practice unit // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.26242635. In this paper, we use simulation to design a WorkLife Integrated Practice Unit that treats medical issues arising in the workplace from minor illnesses to acute nonurgent injuries. More specifically, we determine a patient appointment schedule and the number of resources required.
Mueller C., Klein U., Hof A. (2018). An easytouse spatial simulation for urban planning in smaller municipalities. Journal «Computers, Environment and Urban Systems». Pp.111. https://doi.org/10.1016/j.compenvurbsys.2018.05.002.
Muller M., Reggelin T., Schmidt S., Weigert D. Simulationbased planning and dimensioning of an automatic laundry storage and retrieval unit with dynamic storage location sizes abstract // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.29772988. This paper shows how the planning and dimensioning of an automated Laundry Order Consolidation System can be supported by simulation modelling, already beginning in the early conception stage of the system.
Mustafee N., Powell J.H. From hybrid simulation to hybrid systems modelling // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.14301439. The paper contributes to the debate on what constitutes hybrid simulation and offers a unifying conceptual representation for mixing simulation approaches with hybrid systems modelling methods and techniques.
Mustafee N., Powell J.H., Harper A. RHRT: A data analytics framework for reducing wait time at emergency departments and centres for urgent care // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.100110. The paper presents an architecture for the implementation of RHRT (Right Hospital – Right Time) that is specific to the authors’ current work on a digital platform that makes available live waiting time from multiple centers of urgent care in Devon and Cornwall. The focus of the paper is on the development of a Hybrid Systems Model comprising of healthcare business intelligence, forecasting techniques and computer simulation.
Nambiar S., Mayorga M.E., O’Leary M.C., Lich K.H., Wheeler S.B. A simulation model to assess the impact of insurance expansion on colorectal cancer screening at the population level // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.27012712. We present the development of an individualbased discreteevent simulation model to estimate the impact of insurance expansion scenarios on colorectal cancer screening, incidence, mortality, and costs.
Newton D., Pasupathy R., Yousefian F. Recent trends in stochastic gradient descent for machine learning and big data // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.366380. This tutorial covers the basics of Stochastic Gradient Descent (SGD) with an emphasis on modern developments. The tutorial starts with examples where SGD is applicable, and then details important flavors of SGD and reported complexity calculations.
Nirenberg S., Daw A., Pender J. The impact of queue length rounding and delayed app information on disney world queues // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.38493860. We show that rounding or delaying information can result in oscillations in the queue length process.

