Статьи 2017 года (I...O)



Ivey Jared S., Swenson Brian P., Riley George F. Simulating networks with NS-3 and enhancing realism with DCE // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 690-904.
This talk presents an overview of NS-3, discussing its design as a discrete event network simulator and its capabilities. Code snippets will be examined, demonstrating how to configure a network topology in simulation, generate packet traffic to traverse the simulated network, visualize the network behaviors, and glean metrics from the simulation.

Janssen M.A. (2017). The Practice of Archiving Model Code of Agent-Based Models. Journal of Artificial Societies and Social Simulation, 20(1), 1-2.

Jefferson David R., Barnes Peter D. Virtual time III: unification of conservative and optimistic synchronization in parallel discrete event simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 786-797.
In this paper we present UVT (unified virtual time), argue for its correctness, and show adaptations of Time Warp, YAWNS, and Null Messages which cooperatively synchronize a single simulation.

José Roberto San, Pérez Juan Luis, Pérez Libia, Barras Rosa Maria González. Modelling of urban climate impacts using regional and urban CFD models. Application to Madrid (Spain) and London (UK) // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 446-456.
The following paper presents the technique that can be used to produce climatic scenarios at urban scale with a spatial resolution of 10 m based on the results of the global climate models for the different RCP climate scenarios.

Judith Rosenow, Hartmut Fricke, Michael Schultz. Air traffic simulation with 4D multi-criteria optimized trajectories // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 2589-2600.
To account for the need of improved, safe and climate friendly aircraft operations, we present a simulation environment, that is capable of optimizing trajectories regarding multiple criteria. Therewith we show the positive impact of 4D optimized trajectories on the air traffic flow, controller’s taskload and airspace complexity and emphasize the importance of an enhanced air traffic flow management considering dynamic sectorization and air space configuration.

Jung Martin, Classen Axel B., Rudolph Florian, Pick Andreas, Noyer Ulf. Simulating a multi-airport region to foster individual door-to-door travel // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 2518-2529.
In this paper the simulation environment of a multi airport region which is used in the Optimode.net project will be described in detail and also the interaction of the different simulation modules will be explained. We will also show how this complex simulation environment is used to foster individual door-to-door travel and proactive airport management.

Kahara Marie, Pender Jamol. Using simulation to study the impact of racial demographics on blood transfusion allocation policies // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 2786-2797.
In this paper, we build a simulation model to study the impact of racial and ethnic diversity in combination with a blood allocation threshold. We show that for many diverse cities like New York City that the increased diversity of the population can lead to a large mismatch between blood supply and demand.

Kanna Miwa, Junichi Nomura, Soemon Takakuwa. Module-based modeling and analysis of just-in-time production adopting dual-card kanban system and mizusumashi worker // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3756-3767.
In this study, we design and develop module-based modeling scheme that can conveniently represent a manufacturing system adopting a dual-card kanban system with a delivery cycle.

Karlsson Ingemar, Bernedixen Jacob, Ng Amos H.C., Pehrsson Leif. Combining augmented reality and simulation-based optimization for decision support in manufacturing // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3988-3999.
This paper introduces a decision support system, Intelligent Decision Support System using Augmented Reality (IDSS-AR), which uses simulation and Augmented Reality to show a simulation model in 3D. The decision support system uses Microsoft HoloLens, which is a head-worn hardware for Augmented Reality. A prototype of IDSS-AR has been evaluated with a simulation model depicting a real manufacturing system on which a bottleneck detection method has been applied. The bottleneck information is shown on the simulation model, increasing the possibility of realizing interactions between the bottlenecks.

Kasaie Parastu, Sohn Hojoon, Kendall Emily, Gomez Gabriela B., Vassall Anna, Pai Madhukar, Dowdy David W. Exploring the epidemiological impact of universal access to rapid tuberculosis diagnosis using agent-based simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1097-1108.
We designed an agent-based simulation of drug-susceptible and drug–resistant TB in a representative Indian setting and compared the impact of Xpert testing via a decentralized (Xpert available at each local population) versus centralized (Xpert available at the district-level serving multiple local-populations) strategy.

Kern Stefan. Potential of runway capacity enhancements without building a new runway // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 2601-2612.
Before establishing a new runway the current runway structure can be used more efficiently, leading to optimal solutions for individual constraints. This is shown for a set of operational enhancements like runway usage strategy or sequencing, studied under different traffic mixes as well as arrival-departure ratios. Hereby the main focus of this paper is set to dependent parallel runway configurations.

Kessler Celine, Capocchi Laurent, Santucci Jean-Francois, Zeigler Bernard. Hierarchical Markov decision process based on DEVS formalism // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1001-1012.
The goal of the paper is to propose a generic discrete-event based software Framework allowing to use hierarchical MDPs (Markov decision processes) and reinforcement learning to solve planning or decision problems. The proposed approach has been validated using the ”grid world” typical MDP use case.

Kessler Celine, Capocchi Laurent, Zeigler Bernard P., Santucci Jean-Francois. Generic architecture for interactive mobile_simulation of parallel DEVS models: a missile defense application // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1515-1526.
This paper presents a generic approach which aims to simulate models described with the DEVS formalism. DEVSimPy-mob communicates with a web REST (Representational State Transfer) server that delivers a set of web services dedicated to the simulation of DEVS models. A real case application stemming from Balistic Missile Defense simulations is presented to show how DEVSimPy-mob can be used to launch simulations from a mobile device, interact during the simulation process and visualize results.

Khoshkenar Amin, Taaffe Kevin, Muhs Miranda, Fredendall Lawrence, Ferrand Yann, Joseph Anjali, San Dee. Simulation-based design and traffic flow improvements in the operating room // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 2975-2983.
A simulation model was created to model the traffic flow in the operating room. A key research challenge in operating room design is to create the most efficient layout that supports staff and patient requirements on the day of surgery. We demonstrate the value and capability of the model by improving traffic flow in the operating room as a result of rotating the bed orientation.

Ki Jun, Le Je-Hun, Cho Seong-Lak, Jun Hyun-Jin, Ki Yun-Bae, Kim Hyun-Jung, Kim Byung-Hee, Chung Gu-Hwan. Rescheduling of flexible flow shop with sequence-dependent setup times and job splitting // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3745-3755.
This paper proposes rescheduling algorithms for improving schedules obtained by dispatching rules with a commercial software program, MozArt, developed by VMS Solutions Co., Ltd.. Schedules for flexible flow shops with sequence-dependent setup times and job splitting are analyzed.

King David W., Hodson Douglas D., Peterson Gilbert L. The role of simulation frameworks in relation to experiments // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 4153-4161.
The difference between a framework and a specific simulation application, and its relationship to experimentation is not always clear. This paper elaborates on these distinctions and addresses how software frameworks support experimental objectives.

Kittany J. (2017). Perception of multi-varied sound patterns of sonified representations of complex systems by people who are blind // Journal of Alternative Medicine Research, 9(2), 201.

Kofler Corinna, Spock Gunter, Muhr Robert. Classifying defects in topography images of silicon wafers // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3646-3657.
In this work, we demonstrate that automatically classifying defects in topography images of silicon wafers is feasible. We process topography images of a set of sample wafers with controlled induced defects in their wafer back surfaces.

Kothari Suresh, Awadhutkar Payas, Tamrawi Ahmed, Mathews Jon. Modeling lessons from verifying large software systems for safety and security // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1431-1442.
This paper discusses lessons learned from verifying properties of the Linux kernel. These lessons have raised questions about traditional verification approaches, and have led us to a model-based approach for software verification. These models are high-level models of the software, as opposed to the prevalent formal methods with low-level representations of software. We use models to gain insights into software verification challenges and use those insights to improve software verification.

Kowalska-Pyzalska A. (2017). Willingess to pay for green energy: an agent-based model in NetLogo Platform // 2017 14th International Conference on the European Energy Market (EEM).

Kuck Mirko, Broda Eike, Freitag Michael, Hildebrandt Torsten, Frazzon Enzo M. Towards adaptive simulation-based optimization to select individual dispatching rules for production control // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3852-3863.
This paper proposes an adaptive simulation-based optimization approach to select individual dispatching rules for production control. The paper’s contribution is two-fold. First, it shows that the proposed approach improves the performance compared to benchmark approaches in a manufacturing scenario from semiconductor industry. Second, in order to be able to react quickly to dynamic changes.

Kuhlman Chris J., Ren Yihui, Lewis Bryan, Schlitt James. Hybrid agent-based modeling of Zika in the United States // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1085-1096.
In this work, we introduce a hybrid agent-based model that achieves a balance that readily scales to problem sizes of millions of human agents and mosquitoes. Macroscopically, our model results agree with those from a low-cost compartmental model; microscopically, like agent-based models, it provides details at the individual level. We apply this model to a synthetic human population of 1.2 million individuals from Miami, Florida in the United States to model the Zika outbreak in the Fall of 2016.

Kuhl Michael E. History of random variate generation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.231-242.
This paper presents a history of random variate generation including distribution sampling methods used prior to the introduction of digital computers, as well as the evolution of random variate generators for continuous and discrete distributions and stochastic point processes.

Kulkarni Ketki, Tran Khiem Trong, Wang Hai, Lau Hoong Chuin. Efficient gate system operations for a multipurpose port using simulation-optimization // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3090-3101.
In this paper, we describe an application of simulation techniques in analyzing the performance of gate operations. Further, we develop an optimization model that is integrated with simulation techniques to suggest efficient lane management policies for an outbound gate system.

Kumar Sumeet, Carley Kathleen M. Simulating DDoS attacks on the us fiber-optics Internet infrastructure // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1228-1239.
In this research, we have designed a test-bed that mirrors the Internet infrastructure of the US and can simulate the Internet traffic flow patterns for different attack targets. We also estimate the degradation in the quality-of-service and the number of users impacted in two attack scenarios.

Kunc Martin. System dynamics: a soft and hard approach to modelling // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 597-606.
This tutorial informs novice modelers on the aspects to consider when they want to use System Dynamics (SD) as a qualitative and quantitative modeling method. In any approach employed, the use of SD modeling needs to be grounded in relevant literature from the perspective employed, qualitative or quantitative.

L’Ecuyer Pierre. History of uniform random number generation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.202-230.
Random number generators were invented before there were symbols for writing numbers, and long before mechanical and electronic computers. All major civilizations through the ages found the urge to make random selections, for various reasons. Today, random number generators, particularly on computers, are an important ingredient in human activity. In this article, we give a historical account on the design, implementation, and testing of uniform random number generators used for simulation.

Lamarque, Remi. From variation to the emergence of linguistic regularities. Current Trends in Linguistics, 2017, Hamburg, Germany.

Lapates J.M., Espina M. (2017). Social Network Behaviours to Explain the Spread of Online Game // e-Proceedings of the 5th Global Summit on Education 2017.

Laurito Andres, Bonaventura Matıas, Astigarraga Mikel Eukeni Pozo, Castro Rodrigo. TopoGen: a network topology generation architecture with application to automating simulations of software defined networks // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1049-1060.
We present TopoGen, a general purpose architecture and tool for systematic translation and generation of network topologies. TopoGen can be used to generate network simulation models automatically by querying information available at diverse sources, notably Software Defined Networks controllers.

Lavin Eric A., Giabbanelli Philippe J. Analyzing and simplifying model uncertainty in fuzzy cognitive maps // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1868-1879.
In this paper, we presented, implemented, and evaluated a new approach to identify which ranges are important and simplify models accordingly. Our approach uses a factorial design of experiments, implemented using parallelism to offset its high computational cost. Our implementation (including our new Python library for Fuzzy Cognitive Mapping) is freely available on a third-party repository.

Law Averill M. A tutorial on design of experiments for simulation modeling // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 550-564.
In this tutorial we present an introduction to design of experiments specifically for simulation modeling, whose major goal is to determine the important factors often with the least amount of simulating. We discuss classical experimental designs such as full factorial, fractional factorial, and central composite followed by a presentation on Latin hypercube designs, which are designed for the complex, nonlinear responses typically associated with simulation models.

Lawson Barry, Leemis Lawrence M. An R package for simulation education // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 4175-4186.
R is free software for statistical computing, providing a variety of statistical and graphical functionality. For use in simulation education, R’s capabilities help to develop student intuition. In this paper, we introduce the simEd package for R, written with a pedagogical focus.

Lee Kamwoo, Rucker Mark, Scherer William T., Beling Peter A., Gerber Matthew S., Kang Hyojung. Agent-based model construction using inverse reinforcement learning // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1264-1275.
In this paper, we propose a method to construct an agent-based model directly from data using IRL. We explain each step of the proposed method and describe challenges that may occur during implementation. Our experimental results show that the proposed method can extract rules and construct an agent-based model with rich but concise behavioral rules for agents while still maintaining aggregate-level properties.

Legato Pasquale, Mazza Rina Mary. A simulation model for designing straddle carrier-based container terminals // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3138-3149.
We present a discrete-event simulation model to investigate the best yard layout in terms of block position, number and capacity in a straddle carrier-based transshipment hub bearing a perpendicular yard layout. The simulation model is highly detailed and it captures the blocking, locking and further waiting conditions occurring during real-time operations.

Li H.B., Miura R., Kojima F. (2017). A study on Quick Device Discovery for Fully Distributed D2D Networks // IEICE Transactions on Communications.

Li J., He J. (2017). Evolutionary Game and Simulation on the Internet of Things in Supply Chain. In Proceedings of the Fourth International Forum on Decision Sciences (pp. 271-279). Springer, Singapore.

Li Li, Yu Qingyun. Scheduling strategy of semiconductor production lines with remaining cycle time prediction // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3679-3690.
This paper proposed a scheduling strategy of semiconductor production lines with remaining cycle time prediction. Firstly, gather features related to performance index and then filtrate them through dimension reduction method. Secondly, use the above feature subset to build remaining cycle time prediction model by random forest algorithm. Next, design the scheduling strategy of semiconductor production lines with remaining cycle time prediction. Finally, make simulation experiments to verify the effectiveness of the proposed scheduling strategy.

Li Maojia P., Kuhl Michael E.Design and simulation analysis of pder: a multiple-load automated guided vehicle dispatching algorithm // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3311-3322.
In this paper, we design and analyze Pickup-or-Delivery-En-Route (PDER), a multiple-load automated guided vehicles (AGV) dispatching algorithm. We conduct a simulation-based experiment to evaluate the effectiveness of the PDER algorithm. The results indicate that PDER can produce significant positive impacts on throughput and time in system in flexible manufacturing systems utilizing multiple-load AGVs.

Li Xueping, Ramshani Mohammad, Khojandi Anahita, Omitaomu Olufemi, Hathaway Jon Michael. An agent based model for joint placement of PV panels and green roofs // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1133-1144.
Photovoltaic panels generate electricity directly from sunlight, making them a favored renewable technology. An agent based model to optimally place Photovoltaic panels and green roofs is developed in this study. We propose a tabu search metaheuristic algorithm to solve the developed model. Then, a real-world case for a mid-sized city in the U.S. is solved as a case study for the model. We further conduct numerical analysis and provide insights.

Lima Alexandre, Borodin Valeria, Dauzere-Peres Stephane, Vialletelle Philippe. Analyzing different dispatching policies for probability estimation in time constraint tunnels in semiconductor manufacturing // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3543-3554.
This paper first recalls an approach for estimating the probability that a lot at the entrance of a Time Constraint Tunnels (TCT) will leave the TCT on time. This approach relies on a list scheduling algorithm using a dispatching policy with random components. Three dispatching policies are presented. Computational experiments on industrial data comparing these policies are discussed. Perspectives are drawn to extend the approach and support decision making.

Lin Po-Chen, McGinnis Leon. Test problems, reference models and fab simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3624-3635.
We present a reference model, expressed in an analysis application agnostic language, OMG SysML, that can be used to specify any of these test problems. We then show how this reference model also can be used to automate the generation of analysis models for one particular simulation solver, and argue for the use of parametric problem generators as a way to more fully explore planning and control methods.

Lin Yujing, Nelson Barry L. Variance and derivative estimation for virtual performance in simulation analytics // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1856-1867.
Virtual performance is a class of time-dependent performance measures conditional on a particular event occurring at timet0 for a (possibly) nonstationary stochastic process; virtual waiting time of a customer arriving to a queue at time t0 is one example. Virtual statistics are estimators of the virtual performance. In this paper, we go beyond the mean to propose estimators for the variance, and for the derivative of the mean with respect to time, of virtual performance, examining both their small-sample and asymptotic properties.

Linz David D., Huang Hao, Zabinsky Zelda B. Multi-fidelity simulation optimization with level set approximation using probabilistic branch and bound // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 2057-2068.
We propose an optimization algorithm that guides the search for solutions on a high-fidelity model through the approximation of a level set from a low-fidelity model. We are able to efficiently locate solutions inside of a target quantile and therefore reduce the number of high-fidelity evaluations needed in searches. The paper provides an algorithm and analysis showing the increased probability of sampling high-quality solutions within a low-fidelity level set. We include numerical examples that demonstrate the effectiveness of the multi-fidelity level set approximation method to locate solutions.

Linz David D., Zabinsky Zelda B., Kiatsupaibul Seksan, Smith Robert L. A computational comparison of simulation optimization methods using single observations within a shrinking ball on noisy black-box functions with mixed integer and continuous domains // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 2045-2056.
We focus on simulation optimization algorithms that are designed to accommodate noisy black-box functions on mixed integer/continuous domains. There are several approaches used to account for noise which include aggregating multiple function replications from sample points and a newer method of aggregating single replications within a «shrinking ball».

Liston Paul, Byrne James, Keogh Orla, Byrne P.J. Beyond calls: modeling the connection center // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3804-3815.
This paper presents research into the modelling challenges posed by these evolving environments and illustrates how simulation is now more beneficial than ever to organizations aiming to understand and quantify the impact of change in their customer support business.

Litterio A.M., Nantes E.A., Larrosa J.M., Gomez L.J. (2017). Marketing and social networks: a criterion for detecting opinion leaders. European Journal of Management and Business Economics, 26(3), P. 347-366.

Liu Z., Rexachs D., Epelde F., Luque E. (2017). A simulation and optimization based method for calibrating agent-based emergency department models under data scarcity. Computers & Industrial Engineering, 103, 300-309.

Liu D., Zheng X., Zhang C., Wang H. (2017). A new temporal–spatial dynamics method of simulating land-use change. Ecological Modelling, 350, 1-10.

Lundgren Camilla, Skoogh Anders, Johansson Bjorn, Stahre Johan, Friis Martin. The value of 5G connectivity for maintenance in manufacturing industry // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3964-3975.
In this study, Discrete Event Simulation (DES) was combined with established maintenance concepts to provide analysis of a realworld industrial 5G pilot implementation. Maintenance concepts were used to identify relevant inputs and outputs to the simulation model. The model was tested on a use case, where 5G enables support for maintenance tasks. By applying DES and maintenance concepts on more use cases, there is a potential to quantify effects of maintenance and enable digitalized production in a larger scale.

Ma S., Jiang Z., Liu W. (2017). Multi-variation propagation prediction based on multi-agent system for complex mechanical product design // Concurrent Engineering: Research and Applications, pp. 1-15.

Malanson G.P., Resler L.M., Tomback D.F. (2017). Ecotone response to climatic variability depends on stress gradient interactions. Climate Change Responses, 4(1), 1.

Maleck Christian, Weigert Gerald, Pabst Detlef, Stehli Marcel. Robustness analysis of an MIP for production areas with time constraints and tool interruptions in semiconductor manufacturing // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3714-3725.
This research is motivated by the need to verify and implement a schedule in a real production environment, especially in precarious production environments. This paper presents a mixed integer program (MIP) with time constraints and analysis risk parameters for tool interruptions.

Malik A., Abdalla R. (2017). Agent-based modelling for urban sprawl in the region of Waterloo, Ontario, Canada. Modeling Earth Systems and Environment, 3(1), 7.

Mantese G.C., Amaral D.C. (2017). Comparison of industrial symbiosis indicators through agent-based modeling. Journal of Cleaner Production, 140, 1652-1671.

Marcelus Fabri Lima, Helena Ramalhinho.Designing internal supply routes: a case study in the automotive industry // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3358-3369.
This work considers a real logistics problem in a car-assembly factory. The problem consists in optimizing the supply of components from the internal warehouse to the production lines, determining the best delivering routes. We describe the problem in detail, propose a mathematical programming model, and solve it with CPLEX.

Marcosig Ezequiel Pecker, Giribet Juan I., Rodrigo Castro. Hybrid adaptive control for UAV data collection: a simulation-based design to trade-off resources between stability and communication // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1704-1715.
We present the design of a hybrid control system for an Unmanned Aerial Vehicle (UAV) used for data collection from wireless sensors. We postulate a restrictive scenario where a low-cost processor is in charge of both flying the UAV and resolving data communication. We present a strategy where a supervisory controller implements an adaptive relaxation of the sampling period of the UAV regulation controller to favor communication tasks.

McGinnis Leon F., Rose Oliver. History and perspective of simulation in manufacturing // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 385-397.

Meier Oliver, Trojahn Sebastian, Strubelt Henning. Perspectives of a future-proof primary resource logistics chain // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3428-3439.
This article addresses possible measures for supply chains in the wood-processing industry based on a five-year forecast horizon derived from a simulation study. It describes the design and implementation of a simulation model to derive strategic action recommendations for raw material supply logistics for the raw material wood. Decisions concerning the size of storage locations, the number of operators in the system and the system costs can be supported by this analysis.

Meisami Amirhossein, Van Oyen Mark P., Lam Henry. Uncertainty quantification on simulation analysis driven by random forests // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3266-3274.
We consider simulation-based estimation where the inputs are calibrated from predictive models generated by random forests (RFs). RF is a common technique to produce ensemble predictions by aggregating many individual decision trees. This problem arises in data-driven applications such as individualized surgery operations scheduling and supply chain management.

Mesabbah Mohammed, Rahoui Siham, Ragab Mohamed AF, Mahfouz Amr, Arisha Amr. Seasonal recruiting policies for table grape packing operations: a hybrid simulation modelling study // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1680-1691.
The paper aims to investigate the impact of workers experience on packing operations efficiency. The model outcomes demonstrate the improvement in operations efficiency and total running cost that can be achieved when applying optimal recruiting policies that reduce labors variations.

Miller John A., Peng Hao, Bowman Casey N. Advanced tutorial on microscopic discrete-event traffic simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 705-719.
Analysis of traffic systems through modeling and simulation is an essential tool for city planners to optimize traffic flow. Microscopic discrete-event simulation is a natural and powerful method for such analysis.

Miller Martin. Reducing capital cost and semi-private bed experience by simulating hospital inpatient operations // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 2964-2974.
This paper describes how simulation modeling can help reduce capital costs by determining an appropriate number of semi-private rooms that ensure sufficient capacity yet care for most inpatients with a private room experience. Results from a recent inpatient simulation project indicates possible reduction of private rooms by 25 percent yet only requiring inpatient placement in semi-private beds 5 percent of time.

Minjing P., Xinglin L., Ximing L., Mingliang Z., Xianyong Z., Xiangming D., Mingfen W. Recognizing intentions of E-commerce consumers based on ant colony optimization simulation // Journal of Intelligent & Fuzzy Systems, (Preprint), 1-11.

Mizuta Hideyuki. Large-scale distributed agent-based simulation for shopping mall and performance improvement with shadow agent projection // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1157-1168.
In this paper, we introduce the agent-based simulation of a shopping mall with walking and purchasing behavior model and consider the performance of distributed parallel execution. To utilize the agent-based simulation for decision support, distributed parallel execution of large-scale agent-based social simulations is important for evaluating the complex behavior of a realistic number of people with acceptable performance.

Mohamed Emad, Jafari Parinaz, Siu Ming-Fung Francis, AbouRizk Simaan.Data-driven simulation-based model for planning roadway operation and maintenance projects // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3323-3334.
This research proposes a data driven simulation framework for planning snow removal projects considering weather and truck-related data collected by real-time sensors. An in-house developed simulation engine, Simphony.Net, is used to simulate operations based on input information extracted from mined sensor data. This model is capable of simulating plow operations to facilitate planning at both an operational and real-time level.

Montero Lídia, Linares M. Paz, Serch Oriol, Casanovas-Garcia Josep. A visualization tool based on traffic simulation for the analysis and evaluation of smart city policies, innovative vehicles and mobility concepts // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3196-3207.
The CitScale tool is a software platform for visualizing, analyzing and comparing the impacts of smart city policies based on innovative mobility concepts in urban areas. It places emphasis on new automotive vehicles aimed at reducing traffic or environmental impacts. This paper introduces this traffic simulation based tool, and two case studies developed for different scenarios in Barcelona City are briefly presented to demonstrate the capabilities of the tool when it is combined with microscopic traffic simulation software.

Montevechi Jose Arnaldo Barra, Pereira Tabata Fernandes, Thomassie Rachal, Adams Allison, Banerjee Amarnath. Analysis of communication management in a discrete event simulation project in an high-tech manufacturing company // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 4000-4011.
This paper used concepts proposed by the PMBOK to drive the management of communication between members of a simulation project and stakeholders. To achieve this goal, a real simulation case in a manufacturing company was studied. The steps of communication structure were followed and an Action Plan was elaborated and applied in this project. One of the outcomes of this effort is a communication model that was proposed for simulation projects. A questionnaire was applied to evaluate the proposal, results showed that simulation analysts judge communication aspects in their projects to be very important, and is related to the success.

Moreira D., Santos F., Barbieri M., Nunes I., Bazzan A.L. (2017). ABStractme: Modularized Environment Modeling in Agent-based Simulations // In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, pp. 1802-1804. Sao Paul, Brazil.

Mosinski Marcin, Weissgaerbe Tobias, Low Soo Leen, Gan Boon Ping, Preuss Patrick. An easy approach to extending a short term simulation model for long term forecast in semiconductor industry // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3636-3645.
These issues are: process flows compression, flexible equipment dedications, model warm-up, wafer start generation, and future fab capacity changes. Our approach enables us to use the same model generation framework for both models.

Moustaid Elhabib, Meijer Sebastiaan. A hybrid approach for building models and simulations for smart cities: expert knowledge and low dimensionality // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1551-1562.
This article describes a hybrid approach combining the expert knowledge on the city and its limits in terms of data, with models having the right dimensionality to provide policy-makers and urban managers with the necessary information for understanding and managing the city. This approach has been applied in Venice, but it describes in more general terms a way of bridging the world of theoretically sound models with their potential use.

Mubarak Misbah, Domke Jens, Ross Caitlin, Bhatele Abhinav, Ma Kwan-Liu, Jain Nikhil, Wolfe Noah, Li Kelvin, Carothers Christopher D., Ross Robert B. Toward reliable validation of HPC network simulation models // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 660-674.
In this paper, we present a set of recommended practices for each of these steps in the validation process. If the recommendations are followed, the end result should be a validated network model that can make reasonably accurate predictions and convince the community about the correctness of the model.

Murrugarra Ruth I., Wallace William A. Agent-based simulation for teaching ethics // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 4220-4227.
The present work discusses the use of NetLogo, an agent-based simulation software, as a tool to teach ethics modeling as part of an ethics course. It allows students to define and describe the behavioral rules of agents under different ethical theories through agent-based simulation and learn and assess the consequences of such ethical behaviors.

Muscalagiu C.G., Muscalagiu I., Muscalagiu D.M. (2017). The curving calculation of a mechanical device attached to a multi-storey car park. IOP Conf. Series: Materials Science and Enginneering (163).

Mustafee Navonil, Brailsford Sally, Djanatliev Anatoli, Eldabi Tillal, Kunc Martin, Tolk Andreas. Purpose and benefits of hybrid simulation: contributing to the convergence of its definition // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1631-1645.
There is a growing trend in the number of M&S studies that report on the use of Hybrid Simulation. However, the meaning and the usage of the term varies considerably. Indeed, the hybrid simulation panel during last year’s conference laid bare the strong views, from the panelists and audience alike, as to what constitutes a hybrid model and what is new? The ensuing debate set the scene for this year’s paper, in which we discuss the various perspectives on hybrid simulation by focusing on three aspects: its definition, its purpose and its benefits.

Myers Chris J., Bader Gary, Gleeson Padraig, Golebiewski Martin, Hucka Michael, Le Novere Nicolas, Nickerson David P., Schreiber Falk, Waltemath Dagmar. A brief history of combine // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 884-895.
This paper provides a brief history of this endeavor and the challenges that remain.

Naderlinger Andreas. Simulating execution time variations in MATLAB/Simulink // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1491-1502.
We address this issue and discuss a Simulink block with a fundamentally new semantics that is used to encapsulate control functions as software tasks. It is particularly suited to model and observe software delays in complex control functions within software-in-the-loop simulations.

Nance Richard E., Overstreet C. Michael. History of computer simulation software: an initial perspective // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.243-261.

Nance Richard E., Thayer Gwyneth A. The computer simulation archive: development and current contents // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.330-341.
The development history of the Computer Simulation Archive is described from its inception in 1998 to the present.

Neal SaBra A., Fujimoto Richard M. Energy consumption of HLA data distribution management approaches // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 810-820.
This paper describes an empirical study of the energy consumption of computation and communication components of region based and grid based Data Distribution Management approaches in mobile devices. Experimental data illustrate that region based approaches tend to consume more energy than grid based approaches for computations, but less for communications.

Negahban Ashkan. Neural networks and agent-based diffusion models // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1407-1418.
This paper introduces a new consumer decision-making model where each agent uses a neural network to evaluate word-of-mouth and predict her utility prior to adoption a new product based on her experiences in the past. The model considers the fact that consumers may not know their true preferences before experiencing the product.

Nguyen Vivian, Novak Ana, Shokr Mina, Pash Kristan. Aircrew manpower supply modeling under change: an agent-based discrete event simulation approach modeling under change: an agent-based discrete event simulation approach // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 4070-4080.
This paper deals with manpower planning using a dynamic and interactive simulation system that is agile and adaptive to robustly accommodate change - without requiring a complete rewrite. The simulation architecture extends the current hybrid modelling paradigm which integrates agent based constraints and controls with a discrete event simulation methodology.

Niranjan Suman. A study of remanufacturing system in presence of unreliable supply of new products // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 3459-3470.
We analyze a two-echelon remanufacturing system which utilizes a mix of new components as well as remanufactured old components to produce a new product. The system performance is analyzed using a series of dynamic equations that is developed to describe the system. A simulation-based optimization approach is used to analyze various scenarios as the demand and capacity under consideration is stochastic in nature. ARENA and OptQuest is used for updating the equations and optimizing the system, respectively.

Niño-Pérez Esmeralda, Rivera-Collazo César A., Cabrera-Ríos Mauricio, Méndez-Vázquez Yaileen M. Iterative multicriteria simulation and prototyping optimization in manufacturing // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 481-492.
In this work a multicriteria simulation optimization method previously developed in our research group was applied to the experimental optimization of a 3D printed prototype.

Obaida Mohammad Abu, Liu Jason. Simulation of HPC job scheduling and large-scale parallel workloads // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 920-931.
The paper presents a simulator designed specifically for evaluating job scheduling algorithms on large-scale HPC systems. The simulator was developed based on the Performance Prediction Toolkit, which is a parallel discrete-event simulator written in Python for rapid assessment and performance prediction of large-scale scientific applications on supercomputers.

Okolnishnikov V.V., Rudometov S.V., Shakirov S.R., Zhuravlev S.S. Testing of Process Control Systems in Mining using simulation // MATEC Web of Conferences 125, 04011 (2017) CSCC 2017. DOI: 10.1051/matecconf/201712504011.

Ouyang Huiyin, Barry L Nelson. Simulation-based predictive analytics for dynamic queueing systems // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1716-1727.
This work is a first step in that direction with a focus on congestion measures for queueing systems. The idea is to fit predictive models to dynamic sample paths of the system state from a detailed simulation. We propose a two-step method to dynamically predict the probability that the system state belongs to a certain subset and test the performance of this method on two examples.

Ozaeta L., Graña M. (2017). Finding Communities in Recommendation Systems by Multi-agent Spatial Dynamics // In International Conference on Hybrid Artificial Intelligence Systems (pp. 577-587). Springer, Cham.



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