Table of Contents

• WSC 2067: What are the chances?Barry L. Nelson. 1 [doi]
• Why should we develop simulation models in pairs?Bernard P. Zeigler. 2 [doi]
• A perspective on fifty-five years of the evolution of scientific respect for simulationRobert G. Sargent. 3-15 [doi]
• History of the winter simulation conference: Overview and notable facts and figuresDavid Goldsman, Mariana de Almeida Costa, Paul Goldsman, James R. Wilson. 16-39 [doi]
• History of the winter simulation conference: Origins and early years (1967-1974)Thomas J. Schriber, Julian Reitman, Arnold Ockene, Harold G. Hixson. 40-49 [doi]
• History of the winter simulaltion conference: Renaissance perod (1975-1982)Robert G. Sargent, Paul F. Roth, Thomas J. Schriber. 50-59 [doi]
• A history of simulation development in the United KingdomBrian W. Hollocks. 60-74 [doi]
• The countries of the participants in the winter simulation conferenceDavid Goldsman, Mariana de Almeida Costa, Paul Goldsman. 75-81 [doi]
• History of the winter simulation conference: Coming-of-age period (1983-1992)Robert G. Sargent. 82-86 [doi]
• History of the winter simulation conference: Period of growth, consolidation, and innovation (1993-2007)Russell R. Barton, Jeffrey A. Joines, Douglas J. Morrice. 87-99 [doi]
• History of the winter simulation conference: Modern period (2008-2017)Christos Alexopoulos, Jeffrey A. Joines, Michael E. Kuhl. 100-114 [doi]
• A concise history of simulation output analysisChristos Alexopoulos, W. David Kelton. 115-130 [doi]
• History of seeking better solutions, AKA simulation optimizationMichael C. Fu, Shane G. Henderson. 131-157 [doi]
• History of improving statistical efficiencyRussell R. Barton, Marvin K. Nakayama, Lee Schruben. 158-180 [doi]
• History of input modelingRussell Cheng. 181-201 [doi]
• History of uniform random number generationPierre L'Ecuyer. 202-230 [doi]
• History of random variate generationMichael E. Kuhl. 231-242 [doi]
• History of computer simulation software: An initial perspectiveRichard E. Nance, C. Michael Overstreet. 243-261 [doi]
• Parallel discrete event simulation: The making of a fieldRichard M. Fujimoto, Rajive L. Bagrodia, Randal E. Bryant, K. Mani Chandy, David R. Jefferson, Jayadev Misra, David M. Nicol, Brian W. Unger. 262-291 [doi]
• History of verification and validation of simulation modelsRobert G. Sargent, Osman Balci. 292-307 [doi]
• The history of simulation modelingStephen D. Roberts, Dennis Pegden. 308-323 [doi]
• Creation of the computer simulation archiveRobert G. Sargent, James R. Wilson. 324-329 [doi]
• The computer simulation archive: Development and current contentsRichard E. Nance, Gwyneth A. Thayer. 330-341 [doi]
• The importance of the computer simulation archiveGregory K. Raschke, Susan K. Nutter. 342-345 [doi]
• A history of United States military simulationRaymond R. Hill, J. O. Miller. 346-364 [doi]
• Five decades of healthcare simulationSally C. Brailsford, Michael W. Carter, Sheldon H. Jacobson. 365-384 [doi]
• History and perspective of simulation in manufacturingLeon F. McGinnis, Oliver Rose. 385-397 [doi]
• Integrating mathematical optimization in devs for nuclear medicine patient and resource schedulingEduardo Perez. 398-407 [doi]
• A hardware-in-the-loop emulation testbed for high fidelity and reproducible network experimentsXiaoliang Wu, Qi Yang, Xin Liu, Dong Jin, Cheol Won Lee. 408-418 [doi]
• A brief history of HPC simulation and future challengesKishwar Ahmed, Jason Liu, Abdel-Hameed A. Badawy, Stephan Eidenbenz. 419-430 [doi]
• Computational challenges in modeling & simulation of complex systemsRichard M. Fujimoto, Christopher D. Carothers, Alois Ferscha, David Jefferson, Margaret L. Loper, Madhav Marathe, Simon J. E. Taylor. 431-445 [doi]
• Modelling of urban climate impacts using regional and urban CFD models. Application to madrid (Spain) and London (UK)Roberto San José, Juan Luis Perez, Libia Perez, Rosa Maria González Barras. 446-456 [doi]
• A conceptural framework to federate testbeds for cybersecurityLavanya Ramapantulu, Yong Meng Teo, Ee-Chien Chang. 457-468 [doi]
• A spherical Monte Carlo approach for calculating value-at-risk and expected shortfall in financial risk managementHuei-Wen Teng. 469-480 [doi]
• Iterative multicriteria simulation and prototyping optimization in manufacturingEsmeralda Niño Pérez, Cesar A. Rivera-Collazo, Mauricio Cabrera-Ríos, Yaileen M. Méndez-Vázquez. 481-492 [doi]
• Integration design of supply chain hybrid simulationWen Jun Tan, Wentong Cai, Allan NengSheng Zhang. 493-504 [doi]
• The basics of simulationK. Preston White, Ricki G. Ingalls. 505-519 [doi]
• Introduction to information and process modeling for simulationGerd Wagner. 520-534 [doi]
• Open science: Approaches and benefits for modeling & simulationSimon J. E. Taylor, Anastasia Anagnostou, Adedeji O. Fabiyi, Christine S. M. Currie, Thomas Monks, Roberto Barbera, Bruce Becker. 535-549 [doi]
• A tutorial on design of experiments for simulation modelingAverill M. Law. 550-564 [doi]
• A tutorial on simulation conceptual modelingStewart Robinson. 565-579 [doi]
• Revisiting the four C'S of managing a successful simulation projectMelanie R. Barker, Nancy Zupick. 580-587 [doi]
• Avoid failures! Tested success tips for simulation excellenceDavid T. Sturrock. 588-596 [doi]
• System dynamics: A soft and hard approach to modellingMartin H. Kunc. 597-606 [doi]
• The Tao of simulationAbhinav Adduri, Lee Schruben. 607-616 [doi]
• An introduction to developing federations with the High Level Architecture (HLA)Alberto Falcone, Alfredo Garro, Anastasia Anagnostou, Simon J. E. Taylor. 617-631 [doi]
• Modelling for sustainable development using the triple-bottom line: Methods, challenges and the need for hybrid M&SMasoud Fakhimi, Lampros K. Stergioulas, Navonil Mustafee. 632-643 [doi]
• Classic DEVS modelling and simulationYentl Van Tendeloo, Hans Vangheluwe. 644-658 [doi]
• Toward reliable validation of HPC network simulation modelsMisbah Mubarak, Nikhil Jain, Jens Domke, Noah Wolfe, Caitlin Ross, Jianping Kelvin Li, Abhinav Bhatele, Christopher D. Carothers, Kwan-Liu Ma, Robert B. Ross. 659-674 [doi]
• Restraining complexity and scale traits for component-based simulation modelsHessam S. Sarjoughian. 675-689 [doi]
• Simulating networks with NS-3 and enhancing realism with DCEJared S. Ivey, Brian Paul Swenson, George F. Riley. 690-704 [doi]
• Advanced tutorial on microscopic discrete-event traffic simulationJohn A. Miller, Hao Peng, Casey N. Bowman. 705-719 [doi]
• Power consumption in parallel and distributed simulationsRichard M. Fujimoto. 720-734 [doi]
• Inside discrete-event simulation software: How it works and why it mattersThomas J. Schriber, Daniel T. Brunner, Jeffrey S. Smith. 735-749 [doi]
• Towards a universal formalism for modeling & simulationFernando J. Barros. 750-761 [doi]
• An abstract state machine semantics for discrete event simulationGerd Wagner. 762-773 [doi]
• Routing structure over discrete event system specification: A DEVS adaptation to develop smart routing in simulation modelsMaría Julia Blas, Silvio Gonnet, Horacio P. Leone. 774-785 [doi]
• Virtual time III: Unification of conservative and optimistic synchronization in parallel discrete event simulationDavid R. Jefferson, Peter D. Barnes Jr.. 786-797 [doi]
• A work-stealing based dynamic load balancing algorithm for conservative parallel discrete event simulationWenjie Tang, Yiping Yao, Feng Zhu, Tianlin Li, Xiao Song. 798-809 [doi]
• Energy consumption of HLA data distribution management approachesSabra Neal, Richard M. Fujimoto. 810-820 [doi]
• The state of innovation in modeling and simulation: The last 50 yearsOsman Balci, Richard M. Fujimoto, David Goldsman, Richard E. Nance, Bernard P. Zeigler. 821-836 [doi]
• Warriors or bulls: Introducing retroactive gambling line simulationR. Alan Bowman, Thomas Ashman, James Lambrinos. 837-848 [doi]
• Overcoming challenges in educational stem game design and developmentKatherine Smith, John Shull, Yuzhong Shen, Anthony Dean, Jennifer Michaeli. 849-859 [doi]
• An actor-model based bottom-up simulation - An experiment on Indian demonetisation initiativeSouvik Barat, Vinay Kulkarni, Tony Clark, Balbir Barn. 860-871 [doi]
• Provenance in modeling and simulation studies - Bridging gapsAndreas Ruscheinski, Adelinde M. Uhrmacher. 872-883 [doi]
• A brief history of COMBINEChris J. Myers, Gary D. Bader, Padraig Gleeson, Martin Golebiewski, Michael Hucka, Nicolas Le Novère, David P. Nickerson, Falk Schreiber, Dagmar Waltemath. 884-895 [doi]
• DiSH simulator: Capturing dynamics of cellular signaling with heterogeneous knowledgeKhaled Sayed, Yu-Hsin Kuo, Anuva Kulkarni, Natasa Miskov-Zivanov. 896-907 [doi]
• An analytical memory hierarchy model for performance predictionGopinath Chennupati, Nandakishore Santhi, Stephan Eidenbenz, Sunil Thulasidasan. 908-919 [doi]
• Simulation of HPC job scheduling and large-scale parallel workloadsMohammad Abu Obaida, Jason Liu. 920-931 [doi]
• Using quality of service lanes to control the impact of raid traffic within a burst bufferElsa Gonsiorowski, Christopher D. Carothers, Justin M. LaPre, Philip Heidelberger, Cyriel Minkenberg, Germán Rodríguez. 932-943 [doi]
• The Modelverse: A tool for Multi-Paradigm Modelling and simulationYentl Van Tendeloo, Hans Vangheluwe. 944-955 [doi]
• A sequential statistics approach to dynamic staffing under demand uncertaintyFatemeh S. Hashemi, Michael R. Taaffe. 956-965 [doi]
• Incorporating abstraction methods into system-analysis integration methodology for discrete event logistics systemsTimothy Sprock, Conrad Bock. 966-976 [doi]
• An approach for DEVS based modeling of electrical power systemsAnge-Lionel Toba, Mamadou Seck, Matthew Amissah, Sarah Bouazzaoui. 977-988 [doi]
• A cell-DEVS model for fracture propagation in rockGabriel Andrés Wainer, Scott Stewart. 989-1000 [doi]
• Hierarchical Markov decision process based on DEVS formalismCeline Kessler, Laurent Capocchi, Jean François Santucci, Bernard P. Zeigler. 1001-1012 [doi]
• Time-parallel simulation of air traffic networksYoung-Jin Kim, Dimitri Mavris, Richard Fujimoto. 1013-1024 [doi]
• Some properties of communication behaviors in discrete-event simulation modelsPatrick Crawford, Stephan J. Eidenbenz, Peter D. Barnes, Philip A. Wilsey. 1025-1036 [doi]
• Concurrent conversation modeling and parallel simulation of the naming game in social networksKalyan S. Perumalla. 1037-1048 [doi]
• TopoGen: A network topology generation architecture with application to automating simulations of software defined networksAndres Laurito, Matías Bonaventura, Mikel Eukeni Pozo Astigarraga, Rodrigo Castro. 1049-1060 [doi]
• Melody: Synthesized datasets for evaluating intrusion detection systems for the smart gridVignesh Babu, Rakesh Kumar, Hoang Hai Nguyen, David M. Nicol, Kartik Palani, Elizabeth Reed. 1061-1072 [doi]
• A layered and aggregated queuing network simulator for detection of abnormalitiesJunfei Xie, Chenyuan He, Yan Wan, Kevin Mills, Christopher Dabrowski. 1073-1084 [doi]
• Hybrid Agent-based modeling of Zika in the united statesChris J. Kuhlman, Yihui Ren, Bryan L. Lewis, James Schlitt. 1085-1096 [doi]
• Exploring the epidemiological impact of universal access to rapid tuberculosis diagnosis using agent-based simulationParastu Kasaie, Hojoon Sohn, Emily Kendall, Gabriela B. Gomez, Anna Vassall, Madhukar Pai, David W. Dowdy. 1097-1108 [doi]
• Agent-based modeling framework for simulation of complex adaptive mechanisms underlying household water conservation technology adoptionKambiz Rasoulkhani, Brianne Logasa, Maria Presa Reyes, Ali Mostafavi. 1109-1120 [doi]
• Modeling and simulating households and firms location choice using agent-based models: Application to the urban area of BordeauxYoussef Bouanan, Seghir Zerguini, Nathalie Gaussier. 1121-1132 [doi]
• An agent based model for joint placement of PV panels and green roofsXueping Li, Mohammad Ramshani, Anahita Khojandi, Olufemi A. Omitaomu, Jon Michael Hathaway. 1133-1144 [doi]
• Data assimilation with sensor-informed resampling for building occupancy simulationSanish Rai, Xiaolin Hu. 1145-1156 [doi]
• Large-Scale Distributed Agent-Based Simulation for Shopping Mall and performance improvement with shadow agent projectionHideyuki Mizuta. 1157-1168 [doi]
• Simulating crowd motion using density estimation and optical flowDi Chen, Gary S. H. Tan, Antoine Fagette, Stephen Chai. 1169-1180 [doi]
• Towards a model of the U.S. stock market: How important is the securities information processor?Brian F. Tivnan, Matthew T. K. Koehler, David Slater, Jason G. Veneman, Brendan F. Tivnan. 1181-1192 [doi]
• Stockyard: A discrete event-based stock market exchange simulatorJianling Wang, Vivek George, Tucker Balch, Maria Hybinette. 1193-1203 [doi]
• An agent-based study of herding relationships with financial markets phenomenaYasaman Kamyab Hessary, Mirsad Hadzikadic. 1204-1215 [doi]
• Surrogate assisted calibration framework for crowd model calibrationWenchao Yi, Jinghui Zhong, Singkuang Tan, Wentong Cai, Nan Hu. 1216-1227 [doi]
• Simulating DDOS attacks on the us fiber-optics internet infrastructureSumeet Kumar, Kathleen M. Carley. 1228-1239 [doi]
• Towards an automated framework for agent-based simulation of refugee movementsDiana Suleimenova, David Bell, Derek Groen. 1240-1251 [doi]
• Optimizations for Neuron Time Warp(NTW) for stochastic reaction-diffusion models of neuronsMohammad Nazrul Ishlam Patoary, Carl Tropper, Robert A. McDougal, William W. Lytton. 1252-1263 [doi]
• Agent-based model construction using inverse reinforcement learningKamwoo Lee, Mark Rucker, William T. Scherer, Peter A. Beling, Matthew S. Gerber, Hyojung Kang. 1264-1275 [doi]
• Using situational awareness for adaptive decision making in agent-based simulationOkan Topçu. 1276-1287 [doi]
• Model alignment using optimization and design of experimentsAlejandro Teran-Somohano, Alice E. Smith, Levent Yilmaz. 1288-1299 [doi]
• Models as self-aware cognitive agents and adaptive mediators for model-driven scienceLevent Yilmaz, Sritika Chakladar, Kyle Doud, Alice E. Smith, Alejandro Teran-Somohano, Halit Oguztüzün, Sema Cam, Orçun Dayibas, Bilge Kaan Görür. 1300-1311 [doi]
• A framework for formal automated analysis of simulation experiments using probabilistic model checkingKyle Doud, Levent Yilmaz. 1312-1323 [doi]
• An agent-based simulation model for autonomous trailer dockingBerry Gerrits, Martijn Mes, Peter Schuur. 1324-1335 [doi]
• An agent-based simulation model for distributed vehicle sharing operationsMengqi Hu, Yang Chen, Xiaopeng Li, Kaiqi Xiong. 1336-1347 [doi]
• A meta-algorithm for validating agent-based simulation models to support decision makingWarren Volk-Makarewicz, Catherine Cleophas. 1348-1359 [doi]
• Hypothesis-driven experiment design in computer simulation studiesFabian Lorig, Daniel S. Lebherz, Jan Ole Berndt, Ingo J. Timm. 1360-1371 [doi]
• Using structural equation-based metamodeling for agent-based modelsKai G. Mertens, Iris Lorscheid, Matthias Meyer. 1372-1382 [doi]
• The effects of teams' initial characterizations of interactions on product development performanceMohsen Jafari Songhori, Mohammad S. Jalali, Takao Terano. 1383-1394 [doi]
• Agent-based and regression models of social influenceWai Kin (Victor) Chan. 1395-1406 [doi]
• Neural networks and agent-based diffusion modelsAshkan Negahban. 1407-1418 [doi]
• Efficient simulation-based verification of probabilistic timed automataArnd Hartmanns, Sean Sedwards, Pedro R. D'Argenio. 1419-1430 [doi]
• Modeling lessons from verifying large software systems for safety and securitySuresh Kothari, Payas Awadhutkar, Ahmed Tamrawi, Jon Mathews. 1431-1442 [doi]
• Designing highway access control system using multi-class M/G/C/C state dependent queueing model and cross-entropy methodYifan Wang, Daniel Kim, Seong-Hee Kim, Haengju Lee. 1443-1454 [doi]
• A simevents model for hybrid traffic simulationYue Zhang, Christos G. Cassandras, Wei Li 0033, Pieter J. Mosterman. 1455-1466 [doi]
• A distributed simulator platform for rapid industrial user experience prototypingRoberto S. Silva Filho, Alexander K. Carroll, James D. Brooks. 1467-1478 [doi]
• A simheuristic approach for resource allocation in volunteer computingJavier Panadero, Laura Calvet, Joan Manuel Marquès, Angel A. Juan. 1479-1490 [doi]
• Simulating execution time variations in Matlab/SimulinkAndreas Naderlinger. 1491-1502 [doi]
• Engineering of machine tools and manufacturing systems using cyber-physical systemsStefan Scheifele, Oliver Riedel, Günter Pritschow. 1503-1514 [doi]
• Generic architecture for interactive mobile simulation of parallel Devs models: A missile defense applicationCeline Kessler, Laurent Capocchi, Bernard P. Zeigler, Jean François Santucci. 1515-1526 [doi]
• A hybrid process-mining approach for simulation modelingWaleed Abo-Hamad, Ahmed Ramy, Amr Arisha. 1527-1538 [doi]
• Learning about systems using machine learning: Towards more data-driven feedback loopsMahmoud Elbattah, Owen Molloy. 1539-1550 [doi]
• A hybrid approach for building models and simulations for smart cities: Expert knowledge and low dimensionalityElhabib Moustaid, Sebastiaan Meijer. 1551-1562 [doi]
• A global and local search approach to quay crane scheduling problemKyrylo Perelygin, Joseph J. Kim. 1563-1570 [doi]
• A Bayesian simulation approach for supply chain synchronizationBianica Pires, Joshua Goldstein, Dave Higdon, Paul Sabin, Gizem Korkmaz, Stephanie Shipp, Sallie Keller, Shan Ba, Ken Hamall, Art Koehler, Shane Reese. 1571-1582 [doi]
• A hybrid approach using forecasting and discrete-event simulation for endoscopy servicesAlison Harper, Navonil Mustafee, Mark Feeney. 1583-1594 [doi]
• Modeling mixed type random variablesChristopher Weld, Lawrence Leemis. 1595-1606 [doi]
• A cross-paradigm simulation framework for complex logistics systemsThiago Barros Brito, Rui Carlos Botter. 1607-1618 [doi]
• A hybrid simulation model of helping behaviorJosiah J. Green, Caroline C. Krejci, David E. Cantor. 1619-1630 [doi]
• Purpose and benefits of hybrid simulation: Contributing to the convergence of its definitionNavonil Mustafee, Sally C. Brailsford, Anatoli Djanatliev, Tillal Eldabi, Martin Kunc, Andreas Tolk. 1631-1645 [doi]
• Using discrete event simulation and soft systems methodology for optimizing patient flow and resource utilization at the surgical unit of radiumhospitalet in Oslo, NORWAYLene Berge Holm, Tone Bjornenak, Guri Galtung Kjaeserud, Harald Noddeland. 1646-1657 [doi]
• Optimizing home hospital health service delivery in norway using a combined geographical information system, agent based, discrete event simulation modelJoe Viana, Vigdis Margrethe Ziener, Marita Sommer Holhjem, Irene Gynnild Ponton, Lisa Johanne Thogersen, Tone Breines Simonsen. 1658-1669 [doi]
• Combining bootstrap-based stroke incidence models with discrete event modeling of travel-time and stroke treatment: Non-normal input and non-linear outputKim Rand-Hendriksen, Joe Viana, Fredrik A. Dahl. 1670-1679 [doi]
• Seasonal recruiting policies for table grape packing operations: A hybrid simulation modelling studyMohammed Mesabbah, Siham Rahoui, Mohamed A. F. Ragab, Amr Mahfouz, Amr Arisha. 1680-1691 [doi]
• Exploring personal data futures trading with design fiction based hybrid simulationDavid Bell. 1692-1703 [doi]
• Hybrid adaptive control for UAV data collection: A simulation-based design to trade-off resources between stability and communicationEzequiel Pecker Marcosig, Juan I. Giribet, Rodrigo Castro. 1704-1715 [doi]
• Simulation-based predictive analytics for dynamic queueing systemsHuiyin Ouyang, Barry L. Nelson. 1716-1727 [doi]
• Deep Gaussian Process metamodeling of sequentially sampled non-stationary response surfacesVincent Dutordoir, Nicolas Knudde, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene. 1728-1739 [doi]
• Fitting continuous piecewise linear poisson intensities via maximum likelihood and least squaresZeyu Zheng, Peter W. Glynn. 1740-1749 [doi]
• Stochastic co-kriging for steady-state simulation metamodelingXi Chen, Sahar Hemmati, Feng Yang. 1750-1761 [doi]
• Asymmetric kriging emulator for stochastic simulationQiong Zhang, Wei Xie. 1762-1772 [doi]
• Surrogate assisted model reduction for stochastic biochemical reaction networksPrashant Singh, Andreas Hellander. 1773-1783 [doi]
• Explorative analysis in a preliminary phase of hybrid vehicle design by means of tangible interactionKresimir Matkovic, Denis Gracanin, Mario Duras, Reza Tasooji, Mohamed Handosa. 1784-1795 [doi]
• Portfolio risk measurement via stochastic meshKun Zhang, Guangwu Liu, Shiyu Wang. 1796-1807 [doi]
• Improving prediction from stochastic simulation via model discrepancy learningHenry Lam, Xinyu Zhang, Matthew Plumlee. 1808-1819 [doi]
• Controlled Morris method: A new distribution-free sequential testing procedure for factor screeningWen Shi, Xi Chen. 1820-1831 [doi]
• Optimizing the design of a latin hypercube sampling estimatorAlexander J. Zolan, John J. Hasenbein, David P. Morton. 1832-1843 [doi]
• On the estimation of the mean time to failure by simulationPeter W. Glynn, Marvin K. Nakayama, Bruno Tuffin. 1844-1855 [doi]
• Variance and derivative estimation for virtual performance in simulation analyticsYujing Lin, Barry L. Nelson. 1856-1867 [doi]
• Analyzing and simplifying model uncertainty in fuzzy cognitive mapsEric A. Lavin, Philippe J. Giabbanelli. 1868-1879 [doi]
• Accurate computation of the right tail of the sum of dependent log-normal variatesZdravko I. Botev, Pierre L'Ecuyer. 1880-1890 [doi]
• A joint Gaussian process metamodel to improve quantile predictionsSonghao Wang, Szu-Hui Ng. 1891-1902 [doi]
• Logarithmically efficient estimation of the tail of the multivariate normal distributionZdravko I. Botev, Daniel Mackinlay, Yi-Lung Chen. 1903-1913 [doi]
• A stochastic simulation calibration framework for real-time system controlWei Xie, Pu Zhang, Qiong Zhang. 1914-1925 [doi]
• Metamodeling a system dynamics model: A contemporary comparison of methodsRodrigo De La Fuente, Raymond Smith. 1926-1937 [doi]
• A misspecification test for simulation metamodelsShiyu Wang, Guangwu Liu, Kun Zhang. 1938-1949 [doi]
• Finite variance unbiased estimation of stochastic differential equationsAnkush Agarwal, Emmanuel Gobet. 1950-1961 [doi]
• Bayesian sequential calibration using detailed sample pathsBo Wang, Qiong Zhang, Wei Xie. 1962-1973 [doi]
• Detecting bias due to input modelling in computer simulationLucy E. Morgan, Barry L. Nelson, Andrew C. Titman, David J. Worthington. 1974-1985 [doi]
• Quantile estimation using conditional Monte Carlo and Latin hypercube samplingHui Dong, Marvin K. Nakayama. 1986-1997 [doi]
• Sequential probability ratio test for Multiple-Objective Ranking and SelectionWenyu Wang Hong Wan. 1998-2009 [doi]
• Sample average approximations for the continuous type principal-agent problem: An exampleDashi I. Singham, Wenbo Cai. 2010-2020 [doi]
• A simulation-based quality variance control system for the environment-sensitive process manufacturing industryLin Tang, Miao He, Xunan Zhang, Yutao Ba, Changrui Ren. 2021-2032 [doi]
• Data-driven adaptive threshold control for bike share systemsFelisa J. Vázquez-Abad, Silvano Bernabel, Michael C. Fu. 2033-2044 [doi]
• A computational comparison of simulation optimization methods using single observations within a shrinking ball on noisy black-box functions with mixed integer and continuous domainsDavid D. Linz, Zelda B. Zabinsky, Seksan Kiatsupaibul, Robert L. Smith 0002. 2045-2056 [doi]
• Multi-fidelity simulation optimization with level set approximation using probabilistic branch and boundDavid D. Linz, Hao Huang, Zelda B. Zabinsky. 2057-2068 [doi]
• A two-time-scale adaptive search algorithm for global optimizationQi Zhang, Jiaqiao Hu. 2069-2079 [doi]
• Computational methods for optimization via simulation using Gaussian Markov Random FieldsMark Semelhago, Barry L. Nelson, Andreas Wächter, Eunhye Song. 2080-2091 [doi]
• Enhancing pattern search for global optimization with an additive global and local Gaussian Process modelQun Meng, Szu-Hui Ng. 2092-2103 [doi]
• Trust region based stochastic optimization with adaptive restart: A family of global optimization algorithmsLogan Mathesen, Giulia Pedrielli, Szu-Hui Ng. 2104-2115 [doi]
• A multi-objective perspective on robust ranking and selectionWeizhi Liu, Siyang Gao, Loo Hay Lee. 2116-2127 [doi]
• Optimal computing budget allocation via sampling based unbiased approximationXiao Jin, Haobin Li, Loo Hay Lee, Ek Peng Chew. 2128-2136 [doi]
• Ranking and selection with covariatesHaihui Shen, L. Jeff Hong, Xiaowei Zhang. 2137-2148 [doi]
• A Bayesian ranking and selection problem with pairwise comparisonsLaura Priekule, Stephan Meisel. 2149-2160 [doi]
• Efficient expected improvement estimation for continuous multiple ranking and selectionMichael Pearce, Jürgen Branke. 2161-2172 [doi]
• Rate-optimality of the complete expected improvement criterionYe Chen, Ilya O. Ryzhov. 2173-2182 [doi]
• Optimal design of master-worker architecture for parallelized simulation optimizationHaobin Li, Xiuju Fu, Xiaofeng Yin, Giulia Pedrielli, Loo Hay Lee. 2183-2193 [doi]
• Application of a second-order stochastic optimization algorithm for fitting stochastic epidemiological modelsAtiye Alaeddini, Daniel J. Klein. 2194-2206 [doi]
• Empirically comparing the finite-time performance of simulation-optimization algorithmsNaijia Anna Dong, David J. Eckman, Xueqi Zhao, Shane G. Henderson, Matthias Poloczek. 2206-2217 [doi]
• Optimal computing budget allocation for ranking the top designs with stochastic constraintsHui Xiao, Hu Chen, Loo Hay Lee. 2218-2224 [doi]
• An efficient fully sequential selection procedure guaranteeing probably approximately correct selectionSijia Ma, Shane G. Henderson. 2225-2236 [doi]
• A new framework of designing sequential ranking-and-selection proceduresYing Zhong, L. Jeff Hong. 2237-2244 [doi]
• Ranking and selection under input uncertainty: A budget allocation formulationDi Wu, Enlu Zhou. 2245-2256 [doi]
• Robust simulation based optimization with input uncertaintySathishkumar Lakshmanan, Jayendran Venkateswaran. 2257-2267 [doi]
• Bayesian simulation optimization with input uncertaintyMichael Pearce, Jürgen Branke. 2268-2278 [doi]
• Data driven stochastic approximation for change detectionThomas Flynn, Olympia Hadjiliadis, Ioannis Stamos, Felisa J. Vázquez-Abad. 2279-2290 [doi]
• A smoothing stochastic quasi-newton method for non-lipschitzian stochastic optimization problemsFarzad Yousefian, Angelia Nedic, Uday V. Shanbhag. 2291-2302 [doi]
• An epsilon-constraint method for integer-ordered bi-objective simulation optimizationKyle Cooper, Susan R. Hunter, Kalyani Nagaraj. 2303-2314 [doi]
• Computing worst-case expectations given marginals via simulationJose H. Blanchet, Fei He, Henry Lam. 2315-2323 [doi]
• A sequential elimination approach to value-at-risk and conditional value-at-risk selectionAdam J. Hepworth, Michael P. Atkinson, Roberto Szechtman. 2324-2335 [doi]
• On the asymptotic analysis of quantile sensitivity estimation by Monte Carlo simulationYijie Peng, Michael C. Fu, Peter W. Glynn, Jianqiang Hu. 2336-2347 [doi]
• A scenario-based simulation framework of on- and off-site construction logisticsNingshuang Zeng, Maximilian Dichtl, Markus König. 2348-2359 [doi]
• Criticality visualization using 4D simulation for major capital projectsMichel Guevremont, Amin Hammad. 2360-2371 [doi]
• Towards a conceptual modeling framework for construction simulationMohammed Adel Abdelmegid, Vicente A. Gonzalez, Ashkan M. Naraghi, Michael J. O'Sullivan, Cameron G. Walker, Mani Poshdar. 2372-2383 [doi]
• Carbon dioxide emission evaluation in construction operations using DES: A case study of carwash constructionZhiDong Tony Li, Reza Akhavian. 2384-2393 [doi]
• Simulating total embodied energy of building products through BIMRaja Shahmir Nizam, Yue Xiao, Tongpo Zhang, Yuelong Liu, Cheng Zhang. 2394-2404 [doi]
• Simulating a ready-mix concrete plants network using multimethod approachJaime Alberto Sanchez Velasquez, Maria Camila Aristizabal Isaza. 2405-2412 [doi]
• Coupling risk attitude and motion data mining in a preemtive construction safety frameworkKhandakar M. Rashid, Songjukta Datta, Amir H. Behzadan. 2413-2424 [doi]
• Acquisition and processing of input data for an object - Oriented safety risk simulation in building constructionJürgen Melzner. 2425-2435 [doi]
• Characterization of the underlying mechanisms of vulnerability in complex projects using dynamic network simulationJin Zhu, Ali Mostafavi. 2436-2447 [doi]
• Human activity recognition and mobile sensing for construction simulationNipun D. Nath, Prabhat Shrestha, Amir H. Behzadan. 2448-2459 [doi]
• An evolutionary method to refine imperfect sensor data for construction simulationPrabhat Shrestha, Amir H. Behzadan. 2460-2471 [doi]
• Construction objects recognition in framework of CPSYaseen Srewil, Raimar J. Scherer. 2472-2483 [doi]
• Towards systematic reliability modeling of smart buildingsSanja Lazarova-Molnar, Elena Markoska, Hamid Reza Shaker. 2484-2494 [doi]
• Hybrid metaheuristic experiments of real-time adaptive optimization of parametric shading design through remote data transferHwang Yi. 2495-2506 [doi]
• Synthesizing engineering design, material takeoff and simulation-based estimating on a bridge deck reinforcement caseMing Lu, Chaoyu Zheng, Chaojue Yi, Monjurul Hasan. 2507-2517 [doi]
• Simulating a multi-airport region to foster individual door-to-door travelMartin Jung, Axel B. Classen, Florian Rudolph, Andreas Pick, Ulf Noyer. 2518-2529 [doi]
• Faster aircraft boarding enabled by infrastructural changesMichael Schultz. 2530-2541 [doi]
• Enhancing the toolkit of airport operations analysts: Evidence from an airport baggage handling system improvement projectMaurizio Tomasella, Paul Hancock, Bilyana Hristova, Zuzana Vancova, Burak Büke. 2542-2553 [doi]
• Rare event simulation for potential wake encountersAzin Zare-Noghabi, John F. Shortle. 2554-2565 [doi]
• A study on modeling techniques for fuel burn estimation based on flight simulator experiment dataNavinda Kithmal Wickramasinghe, Daichi Toratani, Sachiko Fukushima, Hiroko Hirabayashi. 2566-2577 [doi]
• Design methodology to simulate continuous descent operations at Kansai International AirportDaichi Toratani, Navinda Kithmal Wickramasinghe, Sachiko Fukushima, Hiroko Hirabayashi. 2578-2588 [doi]
• Air traffic simulation with 4D multi-criteria optimized trajectoriesJudith Rosenow, Hartmut Fricke, Michael Schultz. 2589-2600 [doi]
• Potential of runway capacity enhancements without building a new runwayStefan Kern. 2601-2612 [doi]
• Building an integrated simulation environment for modeling traffic management interactionsShin-Lai Alex Tien, David Bodoh, Huina Gao, James DeArmon. 2613-2625 [doi]
• A down to earth solution: Applying a robust simulation-optimization approach to resolve aviation problemsPaolo Scala, Miguel Mujica, Daniel Delahaye. 2626-2637 [doi]
• Using fast-time simulation to assess weather forecast accuracy requirements for air traffic flow managementAlexander Klein. 2638-2649 [doi]
• Simulation study in quantifying heterogeneous causal effectsJianing Zhao, Daniel M. Runfola, Peter Kemper. 2650-2661 [doi]
• A discrete-event simulation approach to identify rules that govern arbor remodeling for branching cutaneous afferents in hairy skinHyojung Kang, Rachel L. Orlowsky, Gregory J. Gerling. 2662-2671 [doi]
• Towards rapid population genetics forward-in-time simulationsVictor Sepulveda, Roberto Solar, Alonso Inostrosa-Psijas, Veronica Gil Costa, Mauricio Marín. 2672-2683 [doi]
• Energy simulation in dynamic production networks (ESPRONET): Simulation for industrial symbiosisMartin Maiwald, Linda Kosmol, Christoph Pieper, Thorsten Schmidt, Alex Magdanz. 2684-2695 [doi]
• Integrating consumer preferences in renewable energy expansion planning using agent-based modelingAnuj Mittal, Caroline C. Krejci. 2696-2707 [doi]
• Artificial neural network models for building energy predictionKi Uhn Ahn, Cheol-Soo Park. 2708-2716 [doi]
• An hybrid simulator for managing hydraulic structures operational modes to ensure the safety of territories with complex river basin from floodingRoberto Revetria, Lorenzo Damiani, Mikhail Ivanov, Olga Ivanova. 2717-2728 [doi]
• Modeling of land cover changes on alternative scenariosAnton Afanasyev, Alexander Zamyatin, Pedro Cabral. 2729-2739 [doi]
• Rationalizing healthcare budgeting when providing services with mandated maximum delays: A simulation modeling approachPhilip Troy, Lisa Westaway, Anthonie Grondin, Thaddeus Rezanowicz. 2740-2751 [doi]
• Using simulation to help hospitals reduce emergency department waiting times: Examples and impactThomas Monks, Rudabeh Meskarian. 2752-2763 [doi]
• Improving patient waiting time at a pure walk-in clinicHaydon D. Reese, Vivekanand Anandhan, Eduardo Perez, Clara Novoa. 2764-2773 [doi]
• A model based simulation toolkit for evaluating renal replacement policiesBilge Celik, Pieter M. E. Van Gorp, Andre C. J. Snoeck, Remi C. van Riet, Peter J. de Winter, Anna Wilbik. 2774-2785 [doi]
• Using simulation to study the impact of racial demographics on blood transfusion allocation policiesMarie Kahara, Jamol Pender. 2786-2797 [doi]
• Simulation of an active ankle prosthesis of one degree of freedomLuis Alfredo Calle Arevalo, Paul Andres, Chacon Jaramillo, Juan Carlos, Vidal Davila, Gabriela Lissette, Carrion Vivar, Julio Cesar Zambrano Abad. 2798-2809 [doi]
• Development and appplication of agent-bsed disease spread simulation model : The case of Suwon, KoreaHyun-Jin Jung, Gi-Sun Jung, Young Kim, Nokhaiz Tariq Khan, Yo-Han Kim, Yun Bae Kim, Jin Soo Park. 2810-2820 [doi]
• Modeling approaches, challenges, and preliminary results for the opioid and heroin co-epidemic crisisJames Benneyan, Jacqueline Garrahan, Iulian Ilies, Xiaoli Duan. 2821-2832 [doi]
• An agent-based model to investigate behavior impacts on vector-borne disease spreadAnna Paula Galvao Scheidegger, Amarnath Banerjee. 2833-2844 [doi]
• Hybrid research simulation modeling for making decisions on sample size and power of randomized clinical trials considering expected net benefitsIsmail Abbas. 2845-2856 [doi]
• Hybrid, composable approach to simulations in healthcare operations and managementJayanth Raghothama, Hamza Hanchi, Sebastiaan Meijer. 2857-2868 [doi]
• Data-driven simulation for healthcare facility utilization modeling and evaluationXuxue Sun, Mingyang Li, Chao Meng, Nan Kong, Hongdao Meng, Kathryn Hyer. 2869-2880 [doi]
• Simulating triage of patients into an internal medicine department to validate the use of an optimization-based workload scoreJoseph Agor, Kendall McKenzie, Maria E. Mayorga, Osman Y. Özaltin, Riddhi S. Parikh, Jeanne Huddleston. 2881-2892 [doi]
• Proactive patient flow redesign for integration of multiple outpatient clinicsVahab Vahdat, Jacqueline A. Griffin, Sarah Burns, Rana Azghandi. 2893-2904 [doi]
• Performance evaluation of respite care services through multi-agent based simulationOussama Batata, Vincent Augusto, Setareh Ebrahimi, Xiaolan Xie. 2904-2916 [doi]
• Scheduling model for non-critical patients admission into a hospital emergency departmentEva Bruballa, Alvaro Wong, Dolores Rexachs, Emilio Luque, Francisco Epelde. 2917-2928 [doi]
• Simheuristic of patient scheduling using a table-experiment approach - Simio and Matlab integration applicationMohammad Dehghanimohammadabadi, Mandana Rezaeiahari, Thomas K. Keyser. 2929-2939 [doi]
• Calibration of a stochastic agent-based model for re-hospitalization numbers of psychiatric patientsMartin Bicher, Christoph Urach, Günther Zauner, Claire Rippinger, Nikolas Popper. 2940-2951 [doi]
• Modeling and simulating hospital operations in a 3D environmentFraser L. Greenroyd, Andrew Price, Peter Demian, Rebecca Hayward, Shrikant Sharma. 2952-2963 [doi]
• Reducing capital cost and semi-private bed experience by simulating hospital inpatient operationsMartin Miller. 2964-2974 [doi]
• Simulation-based design and traffic flow improvements in the operating roomAmin Khoshkenar, Kevin Taaffe, Miranda Muhs, Lawrence D. Fredendall, Yann Ferrand, Anjali Joseph, Dee San. 2975-2983 [doi]
• Operations analysis of hospital ward evacuation using crowd density model with occupancy area and velocity by patient typeMitsuko Yokouchi, Yuri Hasegawa, Ryosuke Sasaki, Rie Gaku, Yukinori Murata, Nobuko Mizuno, Asuka Inaba, Toshinori Tanaka. 2984-2993 [doi]
• Health care emergency plan modeling and simulation in case of major floodAfafe Zehrouni, Vincent Augusto, Thierry Garaix, Raksmey Phan, Xiaolan Xie. 2994-3005 [doi]
• Data-driven generic discrete event simulation model of hospital patient flow considering surgeCarolyn R. Busby, Michael W. Carter. 3006-3017 [doi]
• Towards smart manufacturing with virtual factory and data analyticsSanjay Jain, David Lechevalier, Anantha Narayanan. 3018-3029 [doi]
• Heuristics for planning with rare catastrophic eventsYoungjun Kim, Yonatan Gur, Mykel J. Kochenderfer. 3030-3041 [doi]
• A comparison analysis of swarm intelligence algorithms for robot swarm learningJiaqi Fan, Mengqi Hu, Xianghua Chu, Dong Yang. 3042-3053 [doi]
• Discrete event simulation of a road intersection integrating V2V and V2I features to improve traffic flowBen Benzaman, Deepak Sharma. 3054-3065 [doi]
• A tool for mining discrete event simulation modelYan Wang, Gregory Zacharewicz, Mamadou Kaba Traore, David Chen. 3066-3077 [doi]
• Sequential experimentation to efficiently test automated vehiclesZhiyuan Huang, Henry Lam, Ding Zhao. 3078-3089 [doi]
• Efficient gate system operations for a multipurpose port using simulation-optimizationKetki Kulkarni, Khiem Trong Tran, Hai Wang, Hoong Chuin Lau. 3090-3101 [doi]
• A simulation tool for truck loading at fuel filling plantsBen Cohen, Ad Ridder, Bart Mateman. 3102-3113 [doi]
• Empty container stacking operations: Case study of an empty container depot in valparaiso chileFelipe Hidalgo, Diego Aranda, Jimena Pascual, Alice E. Smith, Rosa G. González-Ramírez. 3114-3125 [doi]
• Using simulation and emulation throughout the life cycle of a container terminalCsaba A. Boer, Yvo A. Saanen. 3126-3137 [doi]
• A simulation model for designing straddle carrier-based container terminalsPasquale Legato, Rina Mary Mazza. 3138-3149 [doi]
• A modularized simulation for traffic network in container terminals via network of servers with dynamic ratesChenhao Zhou, Loo Hay Lee, Ek Peng Chew, Haobin Li. 3150-3161 [doi]
• The impact of item weight on travel times in picker-to-parts order picking: An agent-based simulation approachRalf Elbert, Jan-Philipp Müller. 3162-3173 [doi]
• Simulation modeling of shuttle vehicle-type mini-load AS/RS systems for E-commerce industry of JapanRie Gaku, Soemon Takakuwa. 3174-3183 [doi]
• Determination of an empirical model of average rank for multi-deep AS/RS based on simulationLatéfa Ghomri, Olivier Cardin. 3184-3195 [doi]
• A visualization tool based on traffic simulation for the analysis and evaluation of smart city policies, innovative vehicles and mobility conceptsLídia Montero, M. Paz Linares, Oriol Serch, Josep Casanovas-Garcia. 3196-3207 [doi]
• A simheuristic approach for the stochastic team orienteering problemJavier Panadero, Jésica de Armas, Christine S. M. Currie, Angel A. Juan. 3208-3217 [doi]
• A heuristic simulation-based framework to improve the scheduling of blocks assembly and the production process in shipbuildingNatalia P. Basán, Victoria G. Achkar, Carlos A. Méndez, Alejandro Garcia del Valle. 3218-3229 [doi]
• Flow-time estimation by synergistically modeling real and simulation dataHoda Sabeti, Feng Yang. 3230-3241 [doi]
• A heteroscedastic T-process simulation metamodeling approach and its application in inventory control and optimizationGuangrui Xie, Xi Chen. 3242-3253 [doi]
• An iterative refinement approach to fitting clearing functions to data from simulation models of production systemsKarthick Gopalswamy, Reha Uzsoy. 3254-3265 [doi]
• Uncertainty quantification on simulation analysis driven by random forestsAmirhossein Meisami, Mark P. Van Oyen, Henry Lam. 3266-3274 [doi]
• Simulation-based production planning for engineer-to-order systems with random yieldAlp Akcay, Tugce G. Martagan. 3275-3286 [doi]
• The role of learning on industrial simulation design and analysisBahar Biller, Stephan R. Biller, Onur Dulgeroglu, Canan G. Corlu. 3287-3298 [doi]
• The value of real-time data in stochastic flowshop scheduling: A simulation study for makespanJose M. Framiñan, Paz Perez-Gonzalez, Victor Fernandez-Viagas Escudero. 3299-3310 [doi]
• Design and simulation analysis of PDER: A multiple-load automated guided vehicle dispatching algorithmMaojia P. Li, Michael E. Kuhl. 3311-3322 [doi]
• Data-driven simulation-based model for planning roadway operation and maintenance projectsEmad Mohamed, Parinaz Jafari, Ming-Fung Francis Siu, Simaan M. AbouRizk. 3323-3334 [doi]
• Using simulation to estimate evacuation times in large-size aircrafts: A case study with simioPau Estany de Millan, Laura Calvet, Angel A. Juan, Pau Fonseca i Casas. 3335-3345 [doi]
• A simheuristic approach for freight transportation in smart citiesLorena S. Reyes-Rubiano, Javier Faulin, Laura Calvet, Angel A. Juan. 3346-3357 [doi]
• Designing internal supply routes: A case study in the automotive industryMarcelus Fabri Lima, Helena Ramalhinho. 3358-3369 [doi]
• Method to model actions for discrete-event simulations of logistics networksMarkus Rabe, Dominik Schmitt, Felix Dross. 3370-3381 [doi]
• Integrated optimization and simulation models for the locomotive refueling system configuration problemLucas Verschelden, Jessica L. Heier Stamm, Todd Easton. 3382-3393 [doi]
• Using simulation to estimate critical paths and survival functions in aircraft turnaround processesAndres San Antonio, Angel A. Juan, Laura Calvet, Pau Fonseca i Casas, Daniel Guimarans. 3394-3403 [doi]
• Efficiency of non-compliance chargeback mechanisms in retail supply chainsChun-Miin Jimmy Chen. 3404-3415 [doi]
• A simulation study to evaluate the appropriate dimensions of a new automated log sorting and storing technology in the wood processing industryMartin Pernkopf, Manfred Gronalt. 3416-3427 [doi]
• Perspectives of a future-proof primary resource logistics chainOliver Meier, Sebastian Trojahn, Henning Strubelt. 3428-3439 [doi]
• Information blackouts in a multi-echelon supply chain simulationElizabeth Rasnick, Dean C. Chatfield. 3440-3446 [doi]
• Simulation modeling of alternative staffing and task prioritization in manual post-distribution cross docking facilitiesDavid Alan Cox, Manuel D. Rossetti. 3447-3458 [doi]
• A study of remanufacturing system in presence of unreliable supply of new productsSuman Niranjan. 3459-3470 [doi]
• Simulation of the order process in maritime hinterland transportation: The impact of order release timesRalf Elbert, Katrin Scharf, Daniel Reinhardt. 3471-3482 [doi]
• A combined simulation optimization framework to improve operations in parcel logisticsMoritz Pöting, Jonas Rau, Uwe Clausen, Christin Schumacher. 3483-3494 [doi]
• A case study for simulation and optimization based planning of production and logistics systemsThomas Sobottka, Felix Kamhuber, Jan Henjes, Wilfried Sihn. 3495-3506 [doi]
• On agent-based modeling in semiconductor supply chain planningSebastian Achter, Iris Lorscheid, Jonas Hauke, Matthias Meyer, David Meyer-Riehl, Thomas Ponsignon, Can Sun, Hans Ehm. 3507-3518 [doi]
• Incorporating elements of a sustainable and distributed generation system into a production planning model for a wafer fabTimm Ziarnetzky, Lars Mönch, Thulasi Kannaian, Jesus Jimenez. 3519-3530 [doi]
• Load dependent lead time modelling: A robust optimization approachErinç Albey, Ihsan Yanikoglu, Reha Uzsoy. 3531-3542 [doi]
• Analyzing different dispatching policies for probability estimation in time constraint tunnels in semiconductor manufacturingAlexandre Lima, Valeria Borodin, Stéphane Dauzère-Pérès, Philippe Vialletelle. 3543-3554 [doi]
• Two boundary based dispatching rule for on-time delivery and throughput of wafer fabs with dedication constraintsKang H. Cho, Yong H. Chung, You I. Choung, Sang C. Park, Byung H. Kim. 3555-3564 [doi]
• Simulation-based optimiziation to design equipment health-aware dispatching rulesLorenz Reinhardt, Lars Mönch. 3565-3575 [doi]
• Simulation based evaluation of different empty vehicle management strategies with considering future transport jobsRobert Schmaler, Thorsten Schmidt, Matthias Schöps, Joerg Luebke, Ralf Hupfer, Nikolas Schlaus. 3576-3587 [doi]
• Continuous flow transport scheduling for conveyor-based AMHS in wafer fabsClemens Schwenke, Klaus Kabitzsch. 3588-3599 [doi]
• A Simulation-Based Approach for an Effective AMHS Design in a Legacy Semiconductor Manufacturing FacilityAli Ben-Salem, Claude Yugma, Emmanuel Troncet, Jacques Pinaton. 3600-3611 [doi]
• Towards a new simulation testbed for semiconductor manufacturingMichael Hassoun, Adar Kalir. 3612-3623 [doi]
• Test problems, reference models and fab simulationPo-Chen Lin, Leon F. McGinnis. 3624-3635 [doi]
• An easy approach to extending a short term simulation model for long term forecast in semiconductor industryMarcin Mosinski, Tobias Weissgaerber, Soo Leen Low, Boon-Ping Gan, Patrick Preuss. 3636-3645 [doi]
• Classifying defects in topography images of silicon wafersCorinna Kofler, Gunter Spöck, Robert Muhr. 3646-3657 [doi]
• Bridging short and mid-term demand forecasting in the semiconductor industryNicola Schuster, Hans Ehm, Andreas Hottenrott, Tim Lauer. 3658-3669 [doi]
• Harmonizing operations management of key stakeholders in wafer fab using discrete event simulationGeorg Seidel, Ching Foong Lee, Ai Mei Kam, Boon-Ping Gan, Chew Wye Chan, André Naumann, Patrick Preuss. 3670-3678 [doi]
• Scheduling strategy of semiconductor production lines with remaining cycle time predictionLi Li, Qingyun Yu. 3679-3690 [doi]
• From dispatching to scheduling: Challenges in integrating a generic optimization platform into semiconductor shop floor executionAndreas Klemmt, Jens Kutschke, Christian Schubert. 3691-3702 [doi]
• Achievements and lessons learned from a long-term academic-industrial collaborationStéphane Dauzère-Pérès. 3703 [doi]
• Simulation-based performance assessment of an implant scheduler in semiconductor manufacturingThomas Winkler 0001, Ralf Sprenger. 3704-3713 [doi]
• Robustness analysis of an MIP for production areas with time constraints and tool interruptions in semiconductor manufacturingChristian Maleck, Gerald Weigert, Detlef Pabst, Marcel Stehli. 3714-3725 [doi]
• Scheduling of drone-based material transfer system in semiconductor manufacturingAndy Ham, D. J. Kim. 3726-3732 [doi]
• Quality based scheduling for an example of semiconductor manufactoryDirk Doleschal, Elisa Sophie Schottler. 3733-3744 [doi]
• Rescheduling of flexible flow shop with sequence-dependent setup times and job splittingJun Kim, Je-Hun Lee, Seong-Lak Choi, Hyun-Jin Jung, Yun Bae Kim, Hyun-jung Kim, Byung-Hee Kim, Gu-Hwan Chung. 3745-3755 [doi]
• Module-based modeling and analysis of just-in-time production adopting dual-card kanban system and Mizusumashi workerKanna Miwa, Junichi Nomura, Soemon Takakuwa. 3756-3767 [doi]
• Using simulation to determine the safety stock level for intermittent demandFredrik Persson, Minna Axelsson, Fredrik Edlund, Christoffer Lanshed, Agnes Lindstrom, Frida Persson. 3768-3779 [doi]
• Simulation of maintenance activities for micro-manufacturing systems by use of predictive quality control chartsDaniel Rippel, Michael Lütjen, Michael Freitag. 3780-3791 [doi]
• Coupled simulation of energy and material flow - A use case in an aluminum foundryTim Peter, Sigrid Wenzel, Lionel Reiche, Martin Fehlbier. 3792-3803 [doi]
• Beyond calls: Modeling the connection centerPaul Liston, James Byrne, Orla Keogh, Peter J. Byrne. 3804-3815 [doi]
• Control and design of the fillet batching process in a poultry processing plantKay Peeters, Tugce G. Martagan, Ivo Adan, Patrick Cruysen. 3816-3827 [doi]
• Integrating simulation-based optimization, lean, and the concepts of industry 4.0Enrique Ruiz Zúñiga, Matías Urenda Moris, Anna Syberfeldt. 3828-3839 [doi]
• A framework for selecting and evaluating process improvement projects using simulation and optimization techniquesFaisal Aqlan, Sreekanth Ramakrishnan, Lawrence Al-Fandi, Chanchal Saha. 3840-3851 [doi]
• Towards adaptive simulation-based optimization to select individual dispatching rules for production controlMirko Kuck, Eike Broda, Michael Freitag, Torsten Hildebrandt, Enzo Morosini Frazzon. 3852-3863 [doi]
• Application of a multi-level simulation model for aggregate and detailed planning in shipbuildingMar Cebral-Fernandez, Marcos Rouco-Couzo, Marta Quiroga Pazos, Diego Crespo Pereira, Alejandro Garcia del Valle, Rafael Morgade Abeal. 3864-3875 [doi]
• Simulation based manufacturing system improvement focusing on capacity and mrp decisions - A practical case from mechanical engineeringAndreas J. Peirleitner, Klaus Altendorfer, Thomas Felberbauer. 3876-3887 [doi]
• Simulation based approach to calculate utilization limits in Opto semiconductor frontendsFalk Stefan Pappert, Oliver Rose, Fabian Suhrke, Jonas Mager. 3888-3898 [doi]
• Real-time job shop scheduling based on simulation and Markov decision processesTao Zhang, Shufang Xie, Oliver Rose. 3899-3907 [doi]
• Simulation-based dynamic shop floor scheduling for a flexible manufacturing system in the industry 4.0 environmentWenhe Yang, Soemon Takakuwa. 3908-3916 [doi]
• Optimizing production allocation with simulation in the fashion industry: A multi-company case studyVirginia Fani, Romeo Bandinelli, Rinaldo Rinaldi. 3917-3927 [doi]
• A VSM approach to support data collection for a simulation modelMaja Barring, Daniel Nafors, Daniel Henriksen, David Olsson, Björn Johansson 0004, Ulrika Larsson. 3928-3939 [doi]
• Integrating data analytics and simulation for defect management in manufacturing environmentsFaisal Aqlan, Sreekanth Ramakrishnan, Abdulrahman Shamsan. 3940-3951 [doi]
• Knowledge discovery and robustness analysis in manufacturing simulationsNiclas Feldkamp, Sören Bergmann, Steffen Strassburger, Thomas Schulze 0001. 3952-3963 [doi]
• The value of 5G connectivity for maintenance in manufacturing industryCamilla Lundgren, Anders Skoogh, Björn Johansson 0004, Johan Stahre, Martin Friis. 3964-3975 [doi]
• Realistic virtual models for factory layout planningDaniel Nafors, Erik Lindskog, Jonatan Berglund, Liang Gong, Björn Johansson 0004, Johan Vallhagen. 3976-3987 [doi]
• Combining augmented reality and simulation-based optimization for decision support in manufacturingIngemar Karlsson, Jacob Bernedixen, Amos H. C. Ng, Leif Pehrsson. 3988-3999 [doi]
• Analysis of communication management in a discrete event simulation project in an high-tech manufacturing companyJosé Arnaldo Barra Montevechi, Tábata Fernandes Pereira, Rachal Thomassie, Allison Adams, Amarnath Banerjee. 4000-4011 [doi]
• A study of discrete event simulation project data and provenance information management in an automotive manufacturing plantCarlos A. Barrera-Diaz, Jan Oscarsson, Simon Lidberg, Tommy Sellgren. 4012-4023 [doi]
• Military simulation: A ubiquitous futureDouglas D. Hodson. 4024-4025 [doi]
• A reference autonomous mobility modelPhillip J. Durst, Christopher T. Goodin, Derek T. Anderson, Cindy L. Bethel. 4026-4037 [doi]
• Simulation based multi-mission cutter scheduling evaluation for the United States Coast GuardGregory E. Higgins, Sercan Demir, Nurcin Celik. 4038-4047 [doi]
• Modeling anti-air warfare with discrete event simulation and analyzing naval convoy operationsAli E. Opcin, Arnold H. Buss, Thomas W. Lucas, Paul J. Sanchez. 4048-4057 [doi]
• Single and multi-objective parameter estimation of a military personnel system via simulation optimizationLee A. Evans, Ki-Hwan G. Bae, Arnab Roy. 4058-4069 [doi]
• Aircrew manpower supply modeling under change: An agent-based discrete event simulation approachVivian Nguyen, Ana Novak, Mina Shokr, Kristan Pash. 4070-4081 [doi]
• Simulating the effect of degraded wireless communications on emergent behaviorBradley Fraser, Robert Hunjet, Claudia Szabo. 4081-4092 [doi]
• Network layer connectivity awareness with application to investigate the OLSR protocol in tactical MANETsMing Li, Mazda Salmanian, Tricia J. Willink. 4093-4105 [doi]
• Balancing national security and refugee rights under public international lawMariusz Balaban, Pawel Mielniczek. 4105-4116 [doi]
• Simulation of the January 2014 polar vortex and its impacts on interdependent electric-natural gas infrastructureEdgar C. Portante, James A. Kavicky, Brian A. Craig, Leah E. Talaber, Stephen F. Folga. 4117-4128 [doi]
• Joint military space operations simulation as a serviceErdal Cayirci, Hakan Karapinar, Lutfu Ozcakir. 4129-4140 [doi]
• Conceptual framework for an automated battle planning system in combat simulationsByron R. Harder, Curtis Blais, Imre Balogh. 4141-4152 [doi]
• The role of simulation frameworks in relation to experimentsDavid W. King, Douglas D. Hodson, Gilbert L. Peterson. 4153-4161 [doi]
• Teaching at the intersection of simulation and the humanitiesWesley J. Wildman, Paul A. Fishwick, F. LeRon Shults. 4162-4174 [doi]
• An R package for simulation educationBarry Lawson 0001, Lawrence M. Leemis. 4175-4186 [doi]
• Automated model verification using an equivalence test on a reference modelAkin Akbulut, Stephan Abke, Christoph Laroque. 4187-4196 [doi]
• Approaches for simulation model simplificationDurk-Jouke van der Zee. 4197-4208 [doi]
• Incorporating sound in simulationsJustin Deuro, Christopher J. Lynch, Hamdi Kavak, Jose J. Padilla. 4209-4219 [doi]
• Agent-based simulation for teaching ethicsRuth I. Murrugarra, William A. Wallace. 4220-4227 [doi]
• Simulation-based business game for teaching methods in logistics and productionAlexander Hübl, Gudrun Fischer. 4228-4239 [doi]
• Sim4edu.com - Web-based simulation for educationGerd Wagner. 4240-4251 [doi]
• Striving for ubiquity of simulation in operations through educational enhancementsAllen G. Greenwood. 4252-4263 [doi]
• Teaching undergraduate simulation - 4 questions for 4 experienced instructorsJeffrey S. Smith, Christos Alexopoulos, Shane G. Henderson, Lee Schruben. 4264-4275 [doi]
• Modeling as the practice of representationPaul A. Fishwick. 4276-4287 [doi]
• Storytelling and simulation creationJose J. Padilla, Christopher J. Lynch, Hamdi Kavak, Shawn Evett, Devon Nelson, Calvin Carson, Joshua del Villar. 4288-4299 [doi]
• Proposed unified discrete event simulation content roadmap for M&S curriculaJames F. Leathrum Jr., Roland R. Mielke, Andrew J. Collins, Michel A. Audette. 4300-4311 [doi]
• The rig: A leadership practice game to train on debiasing techniquesMartin Prause, Jurgen Weigand. 4312-4323 [doi]
• Dynamic multiplex social network models on multiple time scales for simulating contact formation and patterns in epidemic spreadGünter Schneckenreither, Niki Popper. 4324-4336 [doi]
• Evolving a grounded approach to behavioral compositionMayuri Duggirala, Mukul Malik, Suman Kumar, Harshal Hayatnagarkar, Vivek Balaraman. 4336-4347 [doi]
• Worker grouping and assignment for serial and parallel manufacturing systems considering workers' heterogeneity and task complexityYaileen M. Méndez-Vázquez, David A. Nembhard. 4348-4359 [doi]
• Modeling the effects of insider threats on cybersecurity of complex systemsTeodora Baluta, Lavanya Ramapantulu, Yong Meng Teo, Ee-Chien Chang. 4360-4371 [doi]
• Using agent based modeling to replicate origins of social complexity: The case of limited evidence in the late Longshan cultures and early Erlitou cultureCarmen Iasiello. 4372-4383 [doi]
• Practical application of wedding ring in agent-based demographic simulationJeongSik Kim, Namhun Kim, Euihyun Paik, Chun-Hee Lee, Jang Won Bae. 4384-4395 [doi]
• A generative stochastic graphical model for simulating social protestDharmashankar Subramanian, Lucia L. Titus. 4396-4407 [doi]
• New features and capabilities in Arena 15.1Robert Kranz, Nancy Zupick. 4408 [doi]
• Multimethod simulation and analytics for the entire business lifecycleDerek Magilton, Arash Mahdavi. 4409 [doi]
• Introduction to SimioKatie Prochaska, Renee M. Thiesing. 4410-4419 [doi]
• Connected autonomous vehicle (CAV) simulation using PTV VissimAlastair Evanson. 4420 [doi]
• Key considerations for starting or maintaining your simulation departmentAmy B. Greer, Martin M. Franklin. 4421 [doi]
• ® softwareDaniel H. Fylstra. 4422 [doi]
• ® simulation studioEd Hughes, Emily K. Lada. 4423 [doi]
• Using Matlab to build simulations and learn from them in the classroomTeresa Hübscher-Younger, Mary Fenelon. 4424 [doi]
• The application of simio scheduling in industry 4.0Gerrit Zaayman, Anthony Innamorato. 4425-4434 [doi]
• ®: Performance, scalability and accuracyDaniel J. Muller. 4435-4447 [doi]
• Smart SCM framework with MOZART®Keyhoon Ko, Seungyoung Chung, Byung H. Kim. 4448 [doi]
• Integrating artifical intelligence with anylogic simulationLyle Wallis, Mark Paich. 4449 [doi]
• Arena and industry 4.0Robert Kranz, Nancy Zupick. 4450 [doi]
• ®: Performance, scalability and accuracyDaniel J. Muller. 4451 [doi]
• Future simulation with LlamasoftSteve Sommer, Don Hicks. 4452 [doi]
• Modeling, simulation and analysis with FlexSimBill Nordgren. 4453 [doi]
• Application of core technologies for smart manufacturing: A case study of cost benefit analysis based on modeling and simulation for sustainabilityChan Mo Jun, Ju-Yeon Lee, Bo Hyun Kim, Sang Do Noh. 4454-4455 [doi]
• Knowledge discovery in simulation data - A case study for a backhoe assembly lineNiclas Feldkamp, Sören Bergmann, Steffen Strassburger, Thomas Schulze 0001, Praneeth Akondi, Marco Lemessi. 4456-4458 [doi]
• Flexible processing mix strategy for complexity of automated manufacturing systemHayder Zghair, Ahad Ali, Irshad Ali. 4459-4461 [doi]
• A role for general purpose simulation in campaign-level operational modelingMichael E. Lehocky. 4462-4464 [doi]
• Using a genetic programming approach to mission planning to deliver more agile campaign level modelling for military operational researchPaul Glover, Simon Collander-Brown, Simon J. E. Taylor. 4465-4468 [doi]
• Calculation of radiation exchange using macro-class viewfactorsT. Paul Etheredge, M. Blake Haynes, Matthey C. Rigney, Brad H. Seal, Jamie E. Burns. 4468-4469 [doi]
• Modeling and simulation of port-of-entry systemsWeiwei Chen, Benjamin Melamed, Mingfei Teng, Christopher Canaday. 4470-4472 [doi]
• Simulation of performance-based services in disaster response operationsArnd Schirrmann. 4473-4474 [doi]
• Clustering people trust behavior in emergency evacuation: Evidence from sinabung volcano eruptionHilya Mudrika Arini, Tim Bedford, John Quigley, Calvin Burns. 4475-4476 [doi]
• Simulating recovery strategies to enhance the resilience of a semiconductor supply networkYilin Chen, Thomas Ponsignon, Roland Weixlgartner, Hans Ehm. 4477-4478 [doi]
• Integrating campus operations decision support models at the National Institutes of Health (NIH)Antonio R. Rodriguez, Joseph J. Wolski. 4479-4481 [doi]
• Hierarchical simulation modelling of distribution centersDusan N. Sormaz, Mandvi Malik. 4482-4484 [doi]
• Simulation analysis of processing complexity and production variety in automated manufacturing systemHayder Zghair, Ahad Ali. 4485-4487 [doi]
• Validation and verification of shipyard logistics simulation system and its use case identificationYong-Kuk Jeong, Hui-Qiang Shen, Seunghoon Nam, Youngmin Kim, Jong Gye Shin, Phillippe Lee, Jae-Ho Choi, Jong Hun Woo. 4488-4489 [doi]
• CraftBrew: Experiences of developing a low-cost brewery management system with cloud-based simulationSimon J. E. Taylor, Anastasia Anagnostou, David Bell, Shane Kite, Gary Pattison. 4490-4491 [doi]
• Improving historical demand data through simulationOroselfia Sánchez, Idalia Flores. 4492-4494 [doi]
• Wealth distrbution simulation using a system dynamic flow modelJavier Lara de Paz, Idalia Flores, Gabriel Policroniades. 4495-4497 [doi]
• Simulation model for studying impact of demographic, temporal, and geographic factors on hospital demandBozena Mielczarek, Jacek Zabawa. 4498-4500 [doi]
• Invoking "ARTeMIS" - The multi-objective hunt for diverse and robust alternative solutionsStephen C. Upton, Mary L. McDonald, Susan M. Sanchez, Holly M. Zabinski. 4501-4502 [doi]
• Modeling fluid simulation with dynamic Boltzmann machineKun Zhao, Takayuki Osogami. 4503-4505 [doi]
• Case study in 3D modeling of 2D plan view cad data for use in computer simulationJoseph J. Wolski, Marco A. Narciso. 4506-4508 [doi]
• An application of discrete event simulation for planning and resource allocation in a state hospital system servicing both criminal and civil commitmentsBradley J. Bartos, Michelle Mioduszewski, Matthew Renner, Richard McCleary. 4509-4511 [doi]
• Optimization of the emergency department in hospitals using simulation and experimental design: Case studyAbdeljelil Aroua, Georges Abdulnour. 4511-4513 [doi]
• A flexible simulation model aimed to improve inpatient units in health careMandvi Malik, Dusan N. Sormaz. 4514-4516 [doi]
• Virtual enterprise, a management training toolSergio Valenzuela. 4517-4519 [doi]
• Searching leverage points to increase sales of a vertically integrated black tea companyYutaka Takahashi, Nobuhide Tanaka. 4520-4521 [doi]
• Simulation based process mapping for the fabrication of bridge girdersArash Mohsenijam, Meimanat Soleimanifar, Ming Lu. 4522-4524 [doi]
• Optimization and simulation of an ambulance location problemIdalia Flores de la Mota, Esther Segura Pérez, Alexander Vindel Garduno. 4525-4528 [doi]
• Adaptive resource modeling to redirect stakeholder perception of bottlenecksChristina Mouradian, Martin E. Doerfler, Shaghayegh Norouzzadeh, Nancy Riebling. 4528-4530 [doi]
• Agent-based simulation and optimization of hospital utilization in a regional networkWei Wang, Jun Li, Yugang Jia, Marcelo Santos. 4531-4532 [doi]
• Denali national park and preserve's transportation system: How a discrete event simulation model can enlighten complexityRobin Clark, William Clark. 4533-4534 [doi]
• Modeling approach for managing the demand in congested airport networks: The case of Mexico city airportAnn Wellens, Miguel Mujica Mota. 4535-4537 [doi]
• Agent-based simulation modeling of a Bus Rapid Transit (BRT) station using smart card dataSanghyung Ahn, Samuel Richard Hislop-Lynch, Jiwon Kim, Roy Zhu. 4538-4539 [doi]
• Applying lean principals for an integrated process-based approach towards improved safety in building constructionJürgen Melzner. 4540-4541 [doi]
• Challenges of simulating teamwork in organizational scenariosLukas Reuter 0001, Jan Ole Berndt, Ingo J. Timm. 4542-4543 [doi]
• Performance evaluation of MQTT-based internet of things systemsMohamed Handosa, Denis Gracanin, Hicham G. Elmongui. 4544-4545 [doi]
• Simulation results of optimal solution for a multiechelon inventory systemJose Francisco Dorado, Paz Perez-Gonzalez, Jose M. Framiñan. 4548-4549 [doi]
• Drone delivery scheduling simulations focusing on charging speed, weight and battery capacity: Case of remote islands in South KoreaJinwoo Lim, Hosang Jung. 4550-4551 [doi]
• Simulation modeling for making decision on clinical trials using acceptability curve of cost-effectveness and expected net benefitsIsmail Abbas. 4552-4553 [doi]
• Buffer overflow detection in DEVS simulation using canariesHae Young Lee. 4554-4555 [doi]
• A hierarchical simulation model for workload analysis of ship block erection processHui-Qiang Shen, Yong-Kuk Jeong, Seung Hoon Nam, Youngmin Kim, Jong Gye Shin, Dong Kun Lee, Daekyun Oh. 4556-4557 [doi]
• DEVS modeling and simulation based on Markov Decision Process of financial leverage effect in the EU development programsEmmanuel Barbieri, Laurent Capocchi, Jean François Santucci. 4558-4560 [doi]
• Holographic simulation of synthetic battlefield environmentsM. Blake Haynes, T. Paul Etheredge, Matt C. Rigney, Thomas Fronckowiak. 4560-4561 [doi]
• Towards agent-based social simulation as a method in literary studies: Analyzing creative processes based on egodocumentsDaniel S. Lebherz, Fabian Lorig, Ingo J. Timm. 4562-4563 [doi]
• Exploiting equation-free analysis for multi-level, agent-based models in cell biologyKai Budde, Tom Warnke, Adelinde M. Uhrmacher, Eric Schatz, Jens Starke, Fiete Haack. 4564-4565 [doi]
• Practical expressiveness of internal and external domain-specific modeling languagesTom Warnke, Adelinde M. Uhrmacher. 4566-4567 [doi]
• RECAP simulator: Simulation of cloud/edge/fog computing scenariosJames Byrne, Sergej Svorobej, Anna Gourinovitch, Divyaa Manimaran Elango, Paul Liston, Peter J. Byrne, Theo Lynn. 4568-4569 [doi]
• The application of actor-critic reinforcement learning for fab dispatching schedulingNamyong Kim, Hayong Shin. 4570-4571 [doi]
• A note on simulation for estimating the variance of throughput in flow lines with finite buffersDug Hee Moon, Yang Woo Shin. 4572-4573 [doi]
• Multimedia content prediction using the Kalman filterRafael F. Diorio, Varese S. Timoteo. 4574-4575 [doi]
• Phantom pareto systems for multi-objective ranking and selectionEric A. Applegate, Susan R. Hunter, Guy Feldman, Raghu Pasupathy. 4576-4577 [doi]
• Virtual terrain nullification using phased array antennasVinay B. Ramakrishnaiah, Robert F. Kubichek, Suresh Muknahallipatna. 4578-4579 [doi]
• Addressing the opioid epidemic: Treatment capacity expansion to reduce care disparities for opioid addiction disordersJames Benneyan, Hande Musdal, Nikolas Guevara, Madeline King, Grace Jenkins, Andrew Savino, Nicole Nehls, Malcolm Lord, Christine Junod, Margo Jacobsen. 4580-4581 [doi]
• Underrepresentation of minorities in hollywood films: An agent based modeling approach to explanationsCarmen Iasiello. 4582-4583 [doi]
• Automatic and dynamic grounding method based on sensor data for agent-based simulationShohei Yamane, Kotaro Ohori, Hiroaki Yamada, Hiroaki Yoshida, Hirokazu Anai. 4584-4585 [doi]
• Simulation based decision support for contact centersPaul Liston, James Byrne, Orla Keogh, Peter J. Byrne, Joe Bourke, Karl Jones. 4586-4587 [doi]
• Airline disruption recovery using symbiotic simulation and multi-fidelity modellingBhakti Stephan Onggo. 4588-4589 [doi]
• Projecting the impact of pre-exposure prophylaxis for HIV prevention in the context of gonorrhea and chlamydia infectionParastu Kasaie, Lucas Buyon, David W. Dowdy. 4590-4591 [doi]
• Parallel in time solution of ordinary differential equation for near real-time transient stability analysisSumathi Lakshmiranganatha, Suresh Muknahallipatna. 4592-4593 [doi]
• Toward hybrid simulations for care demand forecastingJan Ole Berndt, Ingo J. Timm, Joscha Krause, Ralf T. Münnich. 4594-4595 [doi]
• Adaptive Monte Carlo sampling gradient method for optimizationHui Tan. 4596-4597 [doi]
• Estimating main and interaction effects of a multi-component randomized controlled trial via simulation meta-heuristicsJames Benneyan, Demetri P. Lemonias, Iulian Ilies. 4598-4599 [doi]
• Analyzing the Korean labor market of the elderly people using agent-based modelingChun-Hee Lee, Jang Won Bae, Joonyoung Jung, Euihyun Paik. 4600-4601 [doi]
• Reproducible network research with a high-fidelity software-defined network testbedXiaoliang Wu, Qi Yang, Xin Liu, Dong Jin, Cheol Won Lee. 4602-4603 [doi]
• A multi-objective perspective on robust ranking and selectionWeizhi Liu. 4604-4605 [doi]
• Analyzing different dispatching policies for probability estimation in time constraint tunnels in semiconductor manufacturingAlexandre Lima. 4606-4607 [doi]
• A simulation-optimization framework to solve the workforce scheduling problem in complex manufacturing and logistic contextsLudovica Maccarrone. 4608-4609 [doi]
• Optimizing production allocation with simulation in the fashion industry: A multi-level hierachical optimization framework proposalVirginia Fani. 4610-4611 [doi]
• Integrating consumer adoption modeling in renewable energy expansion planningAnuj Mittal. 4612-4613 [doi]
• A quantile adaptive search for black-box simulation optimization on continuous domains with practical implementationsDavid D. Linz. 4614-4615 [doi]
• Evaluating static and adaptive safety stock policies for robust pharmaceutical supply chainsRana Azghandi. 4616-4617 [doi]
• Acquisition functions for simultaneous Bayesian optimisation of multiple problemsMichael Pearce. 4618-4619 [doi]
• Sustainable urban freight transport: A simheuristic approachLorena S. Reyes-Rubiano. 4620-4621 [doi]
• Measure valued differentiation for stochastic neural networksThomas Flynn. 4622-4623 [doi]
• A recommendation system for first-order nearly orthogonal-and-balanced (NOAB) designsZachary C. Little. 4624-4625 [doi]
• Using simulation to model clinical medication reviews in community pharmaciesKathryn Smith. 4626-4627 [doi]
• Discrete event simulation scenario testing of schematic layouts in an emergency department expansion projectJennifer I. Lather. 4628-4629 [doi]
• An architecture to simulate diffusion processes in multiplex dynamic networksCristina Ruiz Martin. 4630-4631 [doi]
• Using simulation optimization for interdependent operations in health centersVahab Vahdat. 4632-4633 [doi]
• A computational model of action potential in the mouse detrusorsmooth muscle cellChitaranjan Mahapatra. 4634-4635 [doi]
• Ontology-based modeling framework to generate federation object model in the supply chain domainJuan Leonardo Sarli. 4636-4637 [doi]
• Toward precise semantics of actionsAbdurrahman Alshareef. 4638-4639 [doi]
• Tumor simulation by using supermodeling - An example of a new concept of data assimilation in modeling of complex systemsAdrian Klusek. 4640-4641 [doi]
• A DEVS based modeling architecture of electrical power systemsAnge-Lionel Toba. 4642-4643 [doi]
• Simulating DDOS attacks on the us fiber-optics internet infrastructureSumeet Kumar. 4644-4645 [doi]
• Combined DEVS multiresolution simulation and model checkingSoroosh Gholami. 4646-4647 [doi]
• An analysis model to evaluate web applications quality using a discrete-event simulation approachMaría Julia Blas. 4648-4649 [doi]
• Detection of emergent behaviors in system of dynamical systems using similitude theoryShweta Singh. 4650-4651 [doi]
• Bim-based building permit procedures using decision making methodsJudith Ponnewitz. 4652-4653 [doi]