Padilla J.J., Shuttleworth D., O’Brien K. Agent-based model characterization using natural language processing // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.560-571.
This paper reports on Natural Language Processing as a technique to analyze phenomena towards specifying agent-based models.

Párraga-Alava J., Garzon G.M., Valarezo R.V. (2019). Multi-Objective genetic algorithms: are they useful for tuning parameters in Agent-Based Simulation? // Revista Ibérica de Sistemas e Tecnologias de Informacao, (E19), 172-184.

Pawlewski P. Built-in lean management tools in simulation modeling // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2665-2676.
The paper presents an approach for integrating Lean management tools, value-added analysis and Yamazumi charts, with simulation modeling in order to analyze the behavior of certain types of production systems.

Peck W.J., Finke D.A. Systems dynamic modeling: planning beyond the worker // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2606-2616.

Peeters K., Adan I., Martagan T. Throughput control and giveaway minimization of a poultry product batcher // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2131-1929.
Poultry plants have to operate under challenging deadlines due to recent developments in the industry. They have expressed the need for improved control over their batching process to deal with these changes. In particular, they wish to achieve a target throughput to ensure deadlines are made, while minimizing the giveaway. This paper proposes an algorithm that is capable of controlling such a poultry product batcher, and aims to achieve a target throughput and minimize the giveaway.

Pereira A.I., Barbosa J., Leitao P. (2019). Hybrid system for simultaneous job shop scheduling and layout optimization based on multi-agents and genetic algorithm // In Hybrid Intelligent Systems: 18th International Conference on Hybrid Intelligent Systems (HIS 2018) Held in Porto, Portugal, December 13-15, 2018 (Vol. 923, p. 387). Springer.

Perraudat A., Dauzere-Peres S., Vialletelle P. Evaluating the impact of dynamic qualification management in semiconductor manufacturing // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2336-2347.

Pflaum A., Szabo C., Coyle A. Communication collective: an adaptive multiagent communication platform // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.690-701.

Phetheet J., Heger W., Hill M.C. (2019, December). Evaluating use of water and renewable energy in agricultural areas: A coupled simulation of DSSAT and Agent-Based Modeling // In AGU Fall Meeting 2019. AGU.

Piccione A., et al. (2019). An Agent-Based Simulation API for Speculative PDES runtime environments // 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, Chicago, Il, USA, June 03-05. New York, NY, USA: ACM.

Plikynas D., Lauzikas R., Sakalauskas L., Miliauskas A., Dulskis V. (2019, September). Agent-based simulation of cultural events impact on social capital dynamics // In Proceedings of SAI Intelligent Systems Conference (pp. 1138-1154). Springer, Cham.

Plikynas D., Miliauskas A., Lauzikas R. (2019, December). Simulation of social capital dynamics: impact of cultural events // In Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence (pp. 315-319).

Plinere D., Merkuryev Y. Designing a multi-agent system for improving supply chain performance // 2019 IEEE 7th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), Liepaja, Latvia, Nov. 2019, pp. 62-68.

Poeting M., Prell B., Rabe M., Uhlig T., Wenzel S. Considering energy-related factors in the simulation of logistics systems // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1849-1858.
In the paper presented here, as a complement we are focusing on the application of energy simulation in logistics to give a comprehensive overview and present exemplary case studies.

Poeting M., Schaudt S., Clausen U. A comprehensive case study in last-mile delivery concepts for parcel robots // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1779-1788.
The purpose of this publication is to compare different time slot selection options for customers, namely due window and on demand selection, in the context of city logistics measures such as access regulations and driving bans for city centers.

Protalinskiy O., Khanova A., Shcherbatov I. Simulation of power assets management process // Studies in Systems, Decision and Control. 2019. V. 199. P. 88–501.

Quan J., Liu Y. (2019, January). Construction and simulation analysis of cooperative game model of hospital group in medical Waste Stream System // In 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018). Atlantis Press.

Raba D., Juan A.A., Panadero J., Bayliss C., Estrada-Moreno A. Combining the internet of things with simulation-based optimization to enhance logistics in an agri-food supply chain // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1894-1905.
This paper discusses how the Internet of Things and simulation-based optimization methods can be effectively combined to enhance refilling strategies in an animal feed supply chain.

Rabe M., Schmitt D. Domain-specific language for modeling and simulating actions in logistics networks // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1579-1590.
Making adjustments to a logistics network to keep it in good condition is a major challenge. Logistics assistance systems are regularly used to support this process. The authors have developed such a logistics assistance system that identifies, evaluates, and proposes promising actions to the decision-maker.

Rai S., Carter T., Sharma B. (2019). Using NetLogo to simulate building occupancy of a university building // ASEE 2019 Annual Conference.

Raglin A., Metu S. (2019, May). Agent based simulation of decision making with uncertainty // In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications (Vol. 11006, p. 110060M). International Society for Optics and Photonics.

Ramos A., Calado M., Antunes L. (2019, June). A Gift-Exchange model for the maintenance of group cohesion in a telecommunications scenario // In International Symposium on Distributed Computing and Artificial Intelligence (pp. 189-196). Springer, Cham.

Rehman Khan S. A., Yu Z. Strategic Supply Chain Management, EAI // Springer Innovations in Communication and Computing, Springer Nature Switzerland AG. 2019. 291 p.

Reinhardt O., Uhrmacher A.M., Hinsch M., Bijak J. Developing agent-based migration models in pairs // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2713-2724.

Rippel D., Jathe N., Lutjen M., Szczerbicka H., Freitag M. Simulation and optimization of operations for offshore installations planning using a model predictive control scheme // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1719-1730.
This article presents an approach for the installation planning, which uses the model predictive control scheme to combine short-term control with model-based simulations.

Roach A.R., Dennison E.M., Hyrich K L., MacGregor A.J. (2019). The impact of early referral and lowering clinical thresholds of biologic access on the disease course and costs in RA: results from the SiMSK study // Rheumatology, 58(Supplement_3), kez105-023.

Rodemann T., Eckhardt T., Unger R., Schwan T. (2019). Using Agent-Based Customer Modeling for the evaluation of EV charging systems // Energies, 12(15), 2858.

Roemer A.C., Strassburger S. Hybrid system modeling approach for the depiction of the energy consumption in production simulations // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1366-1377.
This paper presents a hybrid simulation approach combining system dynamics, discrete-event and agent-based simulation for energy efficiency analysis in production, considering the energy consumption in the context of planning and scheduling operations and applying it to a use-case scenario of mechanical processing of die-cast parts.

Romanowska I., Crabtree S., Harris K., Davies B. (2019). Agent-Based Modeling for archaeologists: Part 1 of 3 // Advances in Archaeological Practice, 7(2), 178-184.

Ross B., Pilz L., Cabrera B., Brachten F., Neubaum G., Stieglitz S. Are social bots a real threat? An agent-based model of the spiral of silence to analyse the impact of manipulative actors in social networks // European Journal of Information Systems. 2019. Vol. 28, N 4. P. 394-412. DOI: https://doi.org/10.1080/0960085X.2018.1560920.

Rossetti M. D., Bright J. Analyzing pre-positioning within a disrupted bulk petroleum supply chain // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1813-1824.
This paper examines the modeling of disruption events within a bulk petroleum supply chain through the use of an object-oriented simulation library. We describe how the library models disruption events and their effects on supply chain operations.

Şahin C., Rokne J., Alhajj R. Human behavior modeling for simulating evacuation of buildings during emergencies // Physica A: Statistical Mechanics and its Applications. 2019. Vol. 528. P. 121432. DOI: 10.1016/j.physa.2019.121432.

Savage S.L., Doheney S., Smith C. Advanced tutorial: networking simulations across platforms and enterprises with virtual SIPS // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.105-117.

Scherjon F., Romanowska I., Lambers K. (2019). Digitally teaching digital skills: lessons drawn from a Small Private Online Course (SPOC) on ‘modelling and simulation in archaeology’ at Leiden University // Journal of Computer Applications in Archaeology, 2(1), 79–88.

Scheller S. (2019). Steven F. Railsback and Volker Grimm, Agent-Based and Individual-Based Modeling. A Practical Introduction. Economia. History, Methodology, Philosophy, (9-2), 407-413.

Schier S. (2019) Sparring partners for human-in-the-loop simulations: The potential of virtual agents in air traffic simulations // CEAS Aeronautical Journal, 10 (2). P. 553-564.

Shirazia E., Jadida S. A multiagent design for self-healing in electric power distribution systems // Electric Power Systems Research, 171, 2019. P.230-239.
This paper proposes an agent-based approach for service restoration in smart distribution systems with distributed generations.

Schmidt A.H., Zhang K. (2019). Agent-Based Modelling: A new tool for legal requirements engineering: Introduction and use case (KEI) // European Quarterly of Political Attitudes and Mentalities, 8(1), 1-21.

Schultz M., Reitmann S., Alam S. Classification of weather impacts on airport operations // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.500-511.
This paper serves to illustrate the potential of classifications with machine learning methods and is the basis for further investigations on this topic.

Seidel G., Preuss P., Canbolat C., Low S.L., Chan C.W., Gan B.P., Lee C.F., Manogaran P., Tang A.Y. An integration of static and dynamic capacity planning for a ramping fab // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2304-2311.

Sender J., Klink S., Flugge W. Method for integrated logistics planning in shipbuilding // 13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2019. P.122-126.

Serhatlı U., Yucesan E. Impact of climate change on agricultural production decisions // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1930-1940.
We analyze the optimal production and inventory assortment decisions of a seed manufacturer facing increased yield variability triggered by extreme weather conditions in addition to long supply lead times as well as supply and demand uncertainty.

Shah A., Wikum A., Pender J. Using simulation to study the last to enter service delay announcement in multiserver queues with abandonment // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2595-2605.

Shen Y., Guo Y., Chen W. (2019). Safety analysis of China’s marine energy channel based on Multi-Agent simulation // Energy Procedia, 158, 3259-3264.

Shen W., Achar R., Lopes C.V. A simulation analysis of large contests with thresholding agents // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.181-192.
We present the first simulation analysis on how parameters of the contest success function, the population dynamics, and the agents’ cutoff policies influence the outcomes of the contests with thresholding agents that are non-cooperative.

Shetty S., Ray I., Ceilk N., Mesham M. Bastian N., Zhu Q. Simulation for cyber risk management – where are we, and where do we want to go? // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.726-737.
This paper is a collection of position papers of the participating experts supporting their viewpoints that will be captured in the panel discussion.

Shirkhodaie G., Rahman A. (2019). Investigating the effects of the spread of contagious disease and immunization of population on social welfare using Agent Based Modeling // Social Welfare Quarterly, 18(70), 181-208.

Silva J., Varela N., Lezama O.B.P. (2019, September). Optimizing street mobility through a NetLogo simulation environment // In International Conference On Computational Vision and Bio Inspired Computing (pp. 48-55). Springer, Cham.

Singh N., Herps K., Martagan T., Adan I.J.B.F. Simulation-based performance evaluation of a manufacturing facility with vertical AS/RS // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2001-2012.
In this study, we show how hybrid simulation modelling was used to assess the impact of input uncertainties (such as operator productivity, vertical storage height) on the throughput performance of Tool Service Center.

Sopin E.S., Ageev K.A., Samouylov K.E. Approximate analysis of the limited resources queuing system with signals // In: 33rd International ECMS Conference on Modelling and Simulation, ECMS 2019 Caserta, Italy, June 11-14, 2019. Proceedings; 2019: pp. 462-465. ECMS proceedings.

Spitznagel B., Weigal J., Rodriguez J. (2019). Visualizing viscous flow and diffusion in the circulatory system // The Physics Teacher, 57(8), 529-532.

Starling J.K., Choe Y., Mastrangelo C. Optimal technology refresh strategies for strategic DMSMS management using ranking and selection // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2524-2535.

Stogniy I., Scholl W. Using delays for process flow simplification // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2372-2383.

Strubelt H., Trojahn S., Lang S. Transparency and training in manufacturing and logistics processes in times of Industry 4.0 for SMEs // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2013-2024.

Sturrock D.T. Avoid failures! tested success tips for simulation project excellence // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1430-1438.

Suslov K. Development of the methodological basis of the simulation modelling of the multi-energy systems / K. Suslov, V. Piskunova, D. Gerasimov, E. Ukolova, A. Akhmetshin, P. Lombardi, P. Komarnicki // E3S Web of Conferences. EDP Sciences, 2019. vol. 124. P. 1049.

Szabo C. Complex systems modeling and analysis // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1495-1503.
In this tutorial, we explore three main complex systems properties and how they can be modelled in well known scenarios.

Tako A.A., Eldabi T., Fishwick P., Krejci C.C., Kunc M. Panel - towards conceptual modeling for hybrid simulation: setting the scene // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1267-1279.
This panel paper discusses the state of art of conceptual modelling for hybrid simulation and further developments needed to support the design of hybrid simulations.

Talafuse T., Champagne L., Gilts E. A simulation approach to address MQ-9 flying training unit manning shortfalls // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2503-2514.

Tang P., Wang Y., Sun Z., Liu Y. Data-driven spatiotemporal simulation of ground movements of aircraft for preventive airport safety // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2992-3000.
This paper synthesizes four scenarios of aircraft operations around ramp areas during air traffic peak time for supporting the development of a quantitative spatiotemporal simulation that can help predict air traffic control risks based on historical data.

Taves A. (2019). Modeling theories and modeling phenomena: A humanist’s initiation // In Human Simulation: Perspectives, Insights, and Applications (pp. 83-94). Springer, Cham.

Tolk A. Tutorial on the engineering principles of combat modeling and distributed simulation // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.18-32.
Tutorial starts with the historical context and introduces terms and definitions as well as guidelines of interest in this domain. The combat modeling section introduces the main concepts for modeling of the environment, movement, effects, sensing, communications, and decision making. The distributed simulation section focuses on the challenges of current simulation interoperability standards that support dealing with them.

Tomasella M., Clare A., Gok Y.S., Guimarans D., Ozturk C. STTAR: A simheuristics-enabled scheme for multi-stakeholder coordination of aircraft turnaround operations // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.488-499.

Triastanto A.N.D., Utama N.P. (2019, September). Model study of traffic congestion impacted by incidents // In 2019 International Conference of Advanced Informatics: Concepts, Theory and Applications (ICAICTA) (pp. 1-6). IEEE.

Tubadji A., Angelis V., Nijkamp P. (2019). Micro-cultural preferences and macro-percolation of new ideas: A NetLogo simulation // Journal of the Knowledge Economy, 10(1), 168-185.

Urnauer C., Bosch E., Metternich J. Simulation-based optimization of sequencing buffer allocation in automated storage and retrieval systems for automobile production // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1602-1611.

Utomo D.S., Gripton A., Greening P. Modeling home grocery delivery using electric vehicles: preliminary results of an agent-based simulation study // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1625-1636.

Van Mierlo S., Vangheluwe H. Introduction to statecharts modeling, simulation, testing, and deployment // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1504-1518.
This tutorial introduces modeling, simulation, testing, and deployment of Statecharts. We start from the basic concepts of states and transitions and explain the more advanced concepts of Statecharts by extending a running example (a traffic light) incrementally.

Van Mierlo S., Vangheluwe H., Denil J. The fundamentals of domain-specific simulation language engineering // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1482-1494.
This tutorial provides an introduction to modelling language engineering, which allows one to explicitly model all aspects in particular, syntax and semantics of a (domain-specific) modelling and simulation language and to subsequently synthesize appropriate tooling.

Van Tendeloo Y., Vangheluwe H., Franceschini R. An introduction to modeling and simulation with (Python(P)) DEVS // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1415-1429.

Vereshchaka A., Margaglio N., Dong W. Reducing risks during natural disasters with optimal resource allocation by multi-agent optimization // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.714-725.
Natural disasters are notable for the high costs associated with responding to and recovering from them. In this paper we address the issue of critical resources allocation during natural disaster, that incorporates the level of importance of the effected region and cost parameter.

Verghelet P., Mocskos E. First steps in creating a methodology to develop and test scheduling policies for internet of things // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2629-2640.
In this work, we show the initial steps in developing a tool to support the creation of scheduling policies combining simulation and validation. We show the details to be considered when selecting and configuring the different layers of software.

Vicino D., Wainer G.A., Trabes G.G. Investigation of versatile datatypes for representing time in discrete event simulation // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2701-2712.

Voropai N. Simulation approach to integrated energy systems study based on energy hub concept / N. Voropai, D. Gerasimov, E. Ukolova, K. Suslov, P. Lombardi, P. Komarnicki // 2019 IEEE Power Tech, Milan, Italy. IEEE, 2019. P.5.

Waddell B., Leathrum J.F. A multithreaded simulation executive in support of discrete event simulations // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2677-2688.
This work focuses instead on identifying available parallelism within the simulation executive, thus removing the burden from the developer.

Wainer G.A. An introduction to cellular automata models with Cell-DEVS // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1534-1548.

Walker B., Johnson T.V. NetLogo and GIS: A Powerful Combination // Proceedings of 34th International Conference on Computers and Their Applications. Vol. 58, 2019, Pages 257-264.
This paper describes the necessary steps for incorporating GIS within a NetLogo project and the primitive commands used for associating shape properties to NetLogo patches.

Walton R., Miller J.O., Champagne L. Simulating maritime chokepoint disruption in the global food supply // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1708-1718.

Wang H.H., Grant W.E., Elliott N.C., Brewer M.J., Koralewski T.E., Westbrook J.K., ... & Sword G.A. (2019). Integrated modelling of the life cycle and aeroecology of wind-borne pests in temporally-variable spatially-heterogeneous environment // Ecological modelling, 399, 23-38.

Wang B., Xie W., Martagan T., Akcay A., Corlu C.G. Stochastic simulation model development for biopharmaceutical production process risk analysis and stability control // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1989-2000.
In this paper, we develop a stochastic simulation model for biomanufacturing risk analysis by focusing on the production process from raw materials to finished drug substance.

Warnke T., Uhrmacher A.M. (2019, October). Reproducible parallel simulation experiments via pure functional programming // In 2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT) (pp. 1-8). IEEE.

Weintrop D., Bau D., Wilensky U. (2019). The Cloud is the Limit: A case study of programming on the web, with the web // International Jounal of Child-Computer Interaction. (2019), https://doi.org/10.1016/j.ijcci.2019.01.001.
In this paper, we present theoretical and practical arguments for online introductory programming environments as powerful learning tools and present data showing various ways young learners take advantage of features of the environment enabled by being situated online.

Wen G., Huang N., Zhu J. (2019, November). A node-centric network congestion estimation method considering average spatio-temporal scale // In Journal of Physics: Conference Series (Vol. 1345, No. 4, p. 042062). IOP Publishing.

Wenzel S., Stolipin J., Rehof J., Winkels J. Trends in automatic composition of structures for simulation models in production and logistics // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2190-2200.
This paper presents challenges in the field of automatic generation of simulation models in production and logistics. For this purpose, we first present existing approaches in this field, we then analyze them, and we present trends in the field of automatic composition of structures for simulation models.

Wilsey P.A. Time warp simulation on multi-core platforms // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1454-1468.

Witwytzkyj J., Valle Filho A., Santana A.L.M. (2019, November). Modelagem bifocal aplicada à engenharia mecânica: desenvolvimento de um modelo computacional de conducao térmica para uso educacional no ensino superior // In Anais dos Workshops do Congresso Brasileiro de Informática na Educacao (Vol. 8, No. 1, p. 1084).

Xanthopoulou T.D., Prinz A., Shults F.L. (2019, September). Generating executable code from high-level social or socio-ecological model descriptions // In International Conference on System Analysis and Modeling (pp. 150-162). Springer, Cham.

Xi Jing Yang (Sunny), Chan Wai Kin (Victor). Simulation of knife attack and gun attack on university campus using agent-based model and GIS // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.263-272.
This paper computationally examines the consequences of people’s actions during a university campus attack using a combination of agent-based simulation and GIS mapping.

Xia H., Zhang S., Li Y., Pan Z., Peng X., Cheng X. (2019). An attack-resistant trust inference model for securing routing in vehicular ad hoc networks // In IEEE Transactions on Vehicular Technology, vol. 68, no. 7, pp. 7108-7120, July 2019. doi: 10.1109/TVT.2019.2919681.

Xie W., Wang B., Ye Z., Wu W., You J., Zhou Q. Simulation-based blockchain design to secure biopharmaceutical supply chain // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.797-808.
We introduce stochastic simulation to guide the blockchain design so that we can protect drug products from theft, temperature diversion, and counterfeiting, while improving the supply chain reliability, efficiency, and responsiveness. The preliminary empirical study demonstrates that our approach has promising performance.

Xie S., Zhang T., Rose O. Nested-simulation-based approach for real-time dispatching in job shops // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2099-2107.

Yang F., Vereshchaka A., Dong W. Optimizing complex interaction dynamics in critical infrastructure with a stochastic kinetic model // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1672-1683.

Yang T., Gao W., Zhang F. (2019, September). Summary of research on power boosting technology of distributed mobile energy storage charging piles // In 2019 IEEE 3rd International Electrical and Energy Conference (CIEEC) (pp. 1770-1776). IEEE.

Yarkova O.N., Renner A.G. (2019) Modeling the Ruin Probability of a Non-state Pension Fund Taking into Account Risky Investments // In: Solovev D. (eds) Smart Technologies and Innovations in Design for Control of Technological Processes and Objects: Economy and Production. FarEastСon 2018. Voume 1. Smart Innovation, Systems and Technologies, vol 138. Springer, Cham. P. 528-539.

Yoginath S.B., Alam M., Perumalla K.S. Energy conservation through cloned execution of simulations // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2572-2582.

Yu B., Guo Z., Peng Z., Wang H., Ma X., Wang Y. (2019). Agent-based simulation optimization model for road surface maintenance scheme // Journal of Transportation Engineering, Part B: Pavements, 145(1), 04018065.

Yue T., Long R., Chen H., Liu J., Liu H., Gu Y. (2019). Energy-saving behavior of urban residents in China: a multi-agent simulation // Journal of Cleaner Production, 119623.

Yuhong Z.H.A O., Jie C.H.E.N. (2019, October). A P2P trust model based on trust factor and feedback aggregation // In 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE) (pp. 214-219). IEEE.

Zatonskiy A.V. Verification of Kolmogorov Equation Usability for Reproduction and Death Processes // Вестник ЮУрГУ. Серия «Компьютерные технологии, управление, радиоэлектроника». 2019. Т.19, № 3. С. 60–67. DOI: 10.14529/ctcr190306.
В статье исследуется применимость уравнения Колмогорова в простейшей системе массового обслуживания, модели гибели и размножения, с разными статистическими распределениями. Численные данные получены путем моделирования в средах AnyLogic и GPSS.

Zeigler B.P. Introduction to iterative system computational foundations and DEVS // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.1564-1578.
This introductory exposition emphasizes basic intuitive concepts rather than theorems and proofs that support them. As a running example, we apply the iterative systems formalism to bridging the cognitive behavior to neural circuits gap.

Zeiml S., Altendorfer K., Felberbauer T., Nurgazina J. Simulation based forecast data generation and evaluation of forecast error measures // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2119-2130.
In this paper, a simulation model to generate forecast data that mimic different forecast behaviors is presented.

Zeņina N., Merkurjevs J. The basis for the transportation microscopic simulation model validation // 60th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS 2019), Proceedings, Latvia, Riga, 10-11 October, 2019.

Zhang M., Matta A., Alfieri A., Pedrielli G. Feasibility cut generation by simulation: server allocation in serial–parallel manufacturing systems // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.3633-3644.

Zhang N., Zheng X. (2019). Agent-based simulation of consumer purchase behaviour based on quality, price and promotion // Enterprise Information Systems, 13(10), 1427-1441.

Zhou H., Lu L., Dai F. Temperature-induced error in long-term continuous monitoring of displacement with videogrammetry // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2986-2991.
This paper focuses on the effect of temperature variation on the measurement accuracy of videogrammetry to examine its feasibility in deformation/displacement monitoring.

Zhou Y., Wu H. (2019). Dynamic analysis and simulation study of knowledge flow under the perspective of industrial transfer // Expert Systems, 36(5), e12345.

Zhou Z., Rose O. A global WIP oriented dispatching scheme: work-center workload balance without relying on target WIP // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2212-2223.

Zhu H. (2019, May). A platoon-based rolling optimization algorithm at isolated intersections in a connected and autonomous vehicle environment // In Proceedings of the 2019 5th International Conference on Computing and Data Engineering (pp. 41-46).

Zhuge C., Wei B., Dong C. et al. Exploring the future electric vehicle market and its impacts with an agent-based spatial integrated framework: A case study of Beijing, China // Journal of Cleaner Production. 2019. Vol. 221. P. 730-737.

Zia K., Saini D.K., Muhammad A. (2019). Efficient evacuation in a multi-exit environment: an agent-based decision support model // International Journal of Information and Decision Sciences, 11(4), 355-375.

Ziarnetzky T., Monch L., Ponsignon T., Ehm H. Integrated planning of production and engineering activities in semiconductor supply chains: a simulation study // Proceedings of the 2019 Winter Simulation Conference N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds. 2019. Maryland, USA. P.2324-2335.
In this paper, we propose two production planning formulations based on linear programming for a simplified semiconductor supply chain.

Zinoviev V.V., Starodubov A.N., Nikolaev P.I. Modular system of simulation modeling of conventional and robotic mining technologies // IOP Conf. Series: Earth and Environmental Science. Vol. 773. 2021. No 012067. Doi:10.1088/1755-1315/773/1/012067.

Zulkarnay I. (2019). Simulation modeling in the study of the optimal placement of systemically important universities across the country // Artificial Societies, 14(4).