Table of Contents

• Introduction to simulationRicki G. Ingalls. 7-16 [doi]
• Simulation in practice: challenges of introducing simulation as a decision making toolMartha A. Centeno, Manuel Carrillo. 17-21 [doi]
• Building valid models: how to build valid and credible simulation modelsAverill M. Law, Michael G. McComas. 22-29 [doi]
• Output modeling: abc s of output analysisSusan M. Sanchez. 30-38 [doi]
• Output interpretation: some myths and common errors in simulation experimentsBruce W. Schmeiser. 39-46 [doi]
• Design of experiments: designing simulation experimentsRussell R. Barton. 47-52 [doi]
• Input modeling: input modeling techniques for discrete-event simulationsLawrence Leemis. 62-73 [doi]
• Spreadsheet simulationAndrew F. Seila. 74-79 [doi]
• Simulation mathematics and random number generation: mathematics for simulationShane G. Henderson. 83-94 [doi]
• Software for uniform random number generation: distinguishing the good and the badPierre L Ecuyer. 95-105 [doi]
• Verification and validation: some approaches and paradigms for verifying and validating simulation modelsRobert G. Sargent. 106-114 [doi]
• Output analysis: output data analysis for simulationsChristos Alexopoulos, Andrew F. Seila. 115-122 [doi]
• Option pricing: simulation in financial engineeringJeremy Staum. 123-133 [doi]
• Optimization and system selection: simulation/optimization using real-world applicationsJay April, Fred Glover, James P. Kelly, Manuel Laguna. 134-138 [doi]
• Statistical selection of the best systemDavid Goldsman, Barry L. Nelson. 139-146 [doi]
• Parallel simulation: parallel and distributed simulation systemsRichard Fujimoto. 147-157 [doi]
• Inside simulation software: inside discrete-event simulation software: how it works and why it mattersThomas J. Schriber, Daniel T. Brunner. 158-168 [doi]
• Experimental design and analysis: an overview of newer, advanced screening methods for the initial phase in an experimental designLinda Trocine, Linda C. Malone. 169-178 [doi]
• Analysis of simulation experiments by bootstrap resamplingRussell C. H. Cheng. 179-186 [doi]
• System control: distributed simulation and control: the foundationsWayne J. Davis. 187-198 [doi]
• Arena: the Arena product family: enterprise modeling solutionsRoderick J. Swets, Glenn Drake. 201-208 [doi]
• Extend: the extend simulation environmentDavid Krahl. 217-225 [doi]
• ProModel/MedModel: simulation modeling and optimization using ProModel technologyCharles R. Harrell, Kevin C. Field. 226-232 [doi]
• Healthcare simulation modeling and optimization using MedModelCharles R. Harrell, Victor E. Lange. 233-238 [doi]
• Micro Saint: simulation interoperability with the Micro Saint simulation software and COM servicesDaniel W. Schunk, Wendy K. Bloechle. 239-245 [doi]
• SDI supply chain builder: SDI supply chain builder: simulation from atoms to the enterpriseRichard A. Phelps, David J. Parsons, Andrew J. Siprelle. 246-249 [doi]
• CSIM19: CSIM19: a powerful tool for building system modelsHerbert D. Schwetman. 250-255 [doi]
• Expert fit: how the expertfit distribution-fitting software can make your simulation models more validAverill M. Law, Michael G. McComas. 256-261 [doi]
• Silk and Taylor ED: open-source SML and silk for Java-based, object-oriented simulationRichard A. Kilgore. 262-268 [doi]
• Taylor enterprise dynamicsWilliam B. Nordgren. 269-271 [doi]
• Input modeling and its impact: modeling and generating multivariate time series with arbitrary marginals and autocorrelation structuresBahar Deler, Barry L. Nelson. 275-283 [doi]
• Generating daily changes in market variables using a multivariate mixture of normal distributionsJin Wang. 283-289 [doi]
• Accounting for input model and parameter uncertainty in simulationFaker Zouaoui, James R. Wilson. 290-299 [doi]
• Simulation optimization: towards a framework for black-box simulation optimizationSigurdur Ólafsson, Jumi Kim. 300-306 [doi]
• Global random optimization by simultaneous perturbation stochastic approximationJohn L. Maryak, Daniel C. Chin. 307-312 [doi]
• Constrained optimization over discrete sets via SPSA with application to non-separable resource allocationJames E. Whitney II, Latasha I. Solomon, Stacy D. Hill. 313-317 [doi]
• Simulation in financial engineering: stopping simulated paths earlyPaul Glasserman, Jeremy Staum. 318-324 [doi]
• A new approach to pricing American-style derivativesScott B. Laprise, Michael C. Fu, Steven I. Marcus, Andrew E. B. Lim. 329-337 [doi]
• Standardized time series methods: variance estimation using replicated batch meansSigrún Andradóttir, Nilay Tanik Argon. 338-343 [doi]
• On the MSE robustness of batching estimatorsYingchieh Yeh, Bruce W. Schmeiser. 344-347 [doi]
• Improving standardized time series methods by permuting path segmentsJames M. Calvin, Marvin K. Nakayama. 348-353 [doi]
• Input uncertainty: accounting for parameter uncertainty in simulation input modelingFaker Zouaoui, James R. Wilson. 354-363 [doi]
• Reducing input parameter uncertainty for simulationsSzu-Hui Ng, Stephen E. Chick. 364-371 [doi]
• Resampling methods for input modelingRussell R. Barton, Lee Schruben. 372-378 [doi]
• Simulation in optimization and optimization in simulation: a markov chain perspective on adaptive Monte Carlo algorithmsParitosh Y. Desai, Peter W. Glynn. 379-384 [doi]
• Chessboard distributionsSoumyadip Ghosh, Shane G. Henderson. 385-393 [doi]
• Constrained Monte Carlo and the method of control variatesRoberto Szechtman, Peter W. Glynn. 394-400 [doi]
• Comparing systems via stochastic simulation: selection-of-the-best procedures for optimization via simulationJuta Pichitlamken, Barry L. Nelson. 401-407 [doi]
• A genetic algorithm and an indifference-zone ranking and selection framework for simulation optimizationHenrik E. Hedlund, Mansooreh Mollaghasemi. 417-421 [doi]
• Stochastic optimization using simulation: graphical representation of IPA estimationMichael Freimer, Lee Schruben. 422-427 [doi]
• Monte Carlo simulation approach to stochastic programmingAlexander Shapiro. 428-431 [doi]
• Stochastic modeling of airlift operationsJulien Granger, Ananth Krishnamurthy, Stephen M. Robinson. 432-440 [doi]
• Steady state simulation analysis: importance sampling using the semi-regenerative methodJames M. Calvin, Peter W. Glynn, Marvin K. Nakayama. 441-450 [doi]
• Quantile and histogram estimationE. Jack Chen, W. David Kelton. 451-459 [doi]
• On-line error bounds for steady-state approximations: a potential solution to the initialization bias problemEnver Yücesan, Luk N. Van Wassenhove, Klenthis Papanikas, Nico M. van Dijk. 460-469 [doi]
• Statistical tools for simulation design and analysis: simulating ruin probabilities in insurance risk processes with subexponential claimsNam Kyoo Boots, Perwez Shahabuddin. 468-476 [doi]
• Using quantile estimates in simulating internet queues with Pareto service timesMartin J. Fischer, Denise M. Bevilacqua Masi, Donald Gross, John Shortle, Percy H. Brill. 477-485 [doi]
• Object-oriented paradigm: component-oriented simulation architecture: toward interoperability and interchangeabilityGilbert Chen, Boleslaw K. Szymanski. 495-501 [doi]
• A capacity planning tool for the tuxedo middleware used in transaction processing systemsTayfur Altiok, Wei Xiong, Mesut Gunduc. 502-507 [doi]
• A framework for distributed simulation optimizationBjörn Gehlsen, Bernd Page. 508-514 [doi]
• Extreme modeling: modeling design development in unpredictable environmentsNuno Gil, Iris D. Tommelein, Robert Kirkendall. 515-522 [doi]
• Resource graphs for modeling large-scale, highly congested systemsPaul Hyden, Lee Schruben, Theresa M. Roeder. 523-529 [doi]
• Simulating biotech manufacturing operations: issues and complexitiesPrasad V. Saraph. 530-524 [doi]
• Agent-based simulation and greenhouse gas emissions tradingHideyuki Mizuta, Yoshiki Yamagata. 535-540 [doi]
• Panel: simulation environment: simulation environment for the new millennium (panel)Voratas Kachitvichyanukul, James O. Henriksen, Ricki G. Ingalls, Claude Dennis Pegden, Bruce W. Schmeiser. 541-547 [doi]
• Supply chain modeling: a real options design for product outsourcingHarriet Black Nembhard, Leyuan Shi, Mehmet Aktan. 548-552 [doi]
• Supply chain agent decision aid system (SCADAS)Anurag Gupta, Larry Whitman, Ramesh K. Agarwal. 553-559 [doi]
• Panel: GPSS 40th anniversary: GPSS turns 40: selected perspectivesThomas J. Schriber, Springer Cox, James O. Henriksen, Peter Lorenz, Julian Reitman, Ingolf Ståhl. 565-576 [doi]
• GPSS: 40 years of developmentIngolf Ståhl. 577-585 [doi]
• Verification and validation: automated object-flow testing of dynamic process interaction modelsLevent Yilmaz. 586-594 [doi]
• Verifying and validating a simulation modelAnbin Hu, Ye San, Zicai Wang. 595-599 [doi]
• Web 1: open source simulation modeling language (SML)Richard A. Kilgore. 607-613 [doi]
• SISCO: a supply chain simulation tool utilizing silk:::TM::: and XMLDean C. Chatfield, Terry P. Harrison, Jack C. Hayya. 614-622 [doi]
• Simulation application service providing (SIM-ASP)Thomas Wiedemann. 623-628 [doi]
• Web II: web-based simulation of systems described by partial differential equationsManuel Alfonseca, Juan de Lara, Hans Vangheluwe. 629-636 [doi]
• Managing event traces for a web front-end to a parallel simulationBoon-Ping Gan, Li Liu, Zhengrong Ji, Stephen John Turner, Wentong Cai. 637-644 [doi]
• The design of a web-based training system for simulation analysisYu-Hui Tao, Shin-Ming Guo. 645-652 [doi]
• Dimensionality analysis of a simulation outcome spaceJohn B. Gilmer Jr., Frederick J. Sullivan. 663-671 [doi]
• Planning aids for the military commander: force protection simulation opportunities with with GISAlan Cowdale, Suzy Lithgo. 680-683 [doi]
• JWARS: the joint warfare system (JWARS): a modeling and analysis tool for the defense departmentGeorge F. Stone III, Gregory A. McIntyre. 691-696 [doi]
• Commander behavior and course of action selection in JWARSDeborah Vakas, John Prince, H. Ric Blacksten, Chuck Burdick. 697-705 [doi]
• JWARS output analysisH. Ric Blacksten, James W. Jones, Michael L. Poumade, Haywood S. Osborne, George F. Stone III. 706-714 [doi]
• Modeling and simulation for exploring human-robot team interaction requirementsDonald D. Dudenhoeffer, David J. Bruemmer, Midge L. Davis. 730-739 [doi]
• Simulation of logistics: effectiveness of naval surface fire support to the army brigade commander in a littoral campaignJuan K. Ulloa, Eugene P. Paulo. 740-748 [doi]
• T.LoaDS abbreviated systems architectureBob Hamber. 749-757 [doi]
• Case study in modeling and simulation validation methodologyScott D. Simpkins, Eugene P. Paulo, Lyn R. Whitaker. 758-766 [doi]
• Usage testing of military simulation systemsGwendolyn H. Walton, Robert M. Patton, Douglas J. Parsons. 771-779 [doi]
• Simulation analysis: applications of discrete event simulation modeling to military problemsRaymond R. Hill, John O. Miller, Gregory A. McIntyre. 780-788 [doi]
• Study of an ergodicity pitfall in multitrajectory simulationJohn B. Gilmer Jr., Frederick J. Sullivan. 797-804 [doi]
• Economics and security issues in simulation: modes of simulation practice in business and the militaryStewart Robinson. 805-811 [doi]
• Security issues in high level architecture based distributed simulationAsa Elkins, Jeffery W. Wilson, Denis Gracanin. 818-826 [doi]
• Biotech industry: simulation and beyondPrasad V. Saraph. 838-843 [doi]
• A taxonomy of a living model of the enterpriseLarry Whitman, Kartik Ramachandran, Vikram Ketkar. 848-855 [doi]
• Distributed simulation: an enabling technology for the evaluation of virtual enterprisesJayendran Venkateswaran, Mohammed Yaseen Kalachikan Jafferali, Young Jun Son. 856-862 [doi]
• Ford s power train operations: changing the simulation environmentJohn Ladbrook, Annette Januszczak. 863-869 [doi]
• Simulation in shipyards: simulation of shipbuilding operationsCharles McLean, Guodong Shao. 870-876 [doi]
• Hierarchical modeling of a shipyard integrated with an external scheduling applicationAli S. Kiran, Tekin Cetinkaya, Juan Cabrera. 877-881 [doi]
• Discrete simulation development for a proposed shipyard steel processing facilityDaniel L. Williams, Daniel A. Finke, Deborah J. Medeiros, Mark T. Traband. 882-887 [doi]
• Process control and improvement: prediction of process parameters for intelligent control of freezing tunnels using simulationSreeram Ramakrishnan, Richard A. Wysk, Vittaldas V. Prabhu. 888-895 [doi]
• Modelling and improving human decision making with simulationStewart Robinson, Thanos Alifantis, Robert Hurrion, John Ladbrook, John S. Edwards, Tony Waller. 913-920 [doi]
• Manufacturing controls: understanding the fundamentals of Kanban and CONWIP pull systems using simulationRichard P. Marek, Debra A. Elkins, Donald R. Smith. 921-929 [doi]
• Improving simulation model adaptability with a production control frameworkSean M. Gahagan, Jeffrey W. Herrmann. 937-945 [doi]
• Analysis of manufacturing systems: computer simulation analysis of electricity rationing effects on steel mill rolling operationsThomas F. Brady. 946-948 [doi]
• A practical bottleneck detection methodChristoph Roser, Masaru Nakano, Minoru Tanaka. 949-953 [doi]
• Automation in modeling: using automation for finishing room capacity planningRyan Heath Melton, C. Thomas Culbreth, Stephen D. Roberts, Jeffrey A. Joines. 959-967 [doi]
• Computer-aided manufacturing simulation (CAMS) generation for interactive analysis: concepts, techniques, and issuesBoonserm Kulvatunyou, Richard A. Wysk. 968-976 [doi]
• Database driven factory simulation: a proof-of-concept demonstratorLars G. Randell, Gunnar S. Bolmsjö. 977-983 [doi]
• General manufacturing applications: feasibility for automatic data collectionNeil H. Robertson, Terrence D. Perera. 984-990 [doi]
• A virtual environment for simulating manufacturing operations in 3DRavi Chawla, Amarnath Banerjee. 991-997 [doi]
• Distribution an dmaterial movement applications: efficiently modeling warehouse systemsDavid Burnett, Todd LeBaron. 1001-1006 [doi]
• An object-oriented paradigm for simulating postal distribution centersK. Preston White, Brian Barney, Scott Keller, Robert Schwieters, Jacqueline Villasenor, William S. Terry, Richard G. Fairbrother, Richard D. Saxton. 1007-1012 [doi]
• Using simulation to evaluate site traffic at an automobile truck plantJoseph Hugan. 1013-1016 [doi]
• Airline and airport applications: simulation optimization of airline delay with constraintsDavid W. Hutchison, Stacy D. Hill. 1017-1022 [doi]
• Simulation of check-in at airportsPaul E. Joustra, Nico M. van Dijk. 1023-1028 [doi]
• Hybrid agent-based simulation for analyzing the national airspace systemSeungman Lee, Amy R. Pritchett, David Goldsman. 1029-1036 [doi]
• Railroad applications: the use of simulation to calculate the labor requirements in an intermodal rail terminalBeth C. Kulick, James T. Sawyer. 1038-1041 [doi]
• Simulation modeling at union pacific railroadMalay Dalal, Lawrence P. Jensen. 1048-1055 [doi]
• Roadways, vehicle, and traffic applications: defining models of urban traffic using the TSC toolMariana Lo Tártaro, César Torres, Gabriel Andrés Wainer. 1056-1063 [doi]
• An SLX-based microsimulation model for a two-lane road sectionMarco Lemessi. 1064-1071 [doi]
• Simulation of a night taxi-bus service for the historical center of RomeThomas Schulze, Marco Lemessi, Francesco Filippi. 1072-1078 [doi]
• Transport applications: architecture using Jini technology for simulation of an agent-based transportation systemLisa A. Schaefer. 1079-1083 [doi]
• Modeling risk in the dynamic environment of maritime transportationJason R. W. Merrick, J. René van Dorp, Thomas A. Mazzuchi, John R. Harrald. 1090-1098 [doi]
• Material flow and inventory control applications: modeling continuous flow with discrete-event simulationS. Stephen Kuo, E. Jack Chen, Paul L. Selikson, Young M. Lee. 1099-1103 [doi]
• Staging queues in material handling and transportation systemsKevin R. Gue, Keebom Kang. 1104-1108 [doi]
• Simulation and analysis of dealers returns distribution strategyHui Zhao. 1109-1116 [doi]
• Supply chain applications I: designing the support logistics for the FAA ACE-IDS systemRicki G. Ingalls, John W. Nazemetz. 1117-1122 [doi]
• Distributed simulation with incorporated APS procedures for high-fidelity supply chain optimizationPeter Lendermann, Boon-Ping Gan, Leon F. McGinnis. 1138-1145 [doi]
• Supply chain process design toolkit (SCPDT)Perakath C. Benjamin, Mike Graul, Richard J. Mayer, Michael K. Painter, Charles Marshall. 1146-1154 [doi]
• Bottleneck equipment management: simulating test program methods in semiconductor assembly test factoriesChad D. DeJong. 1157-1162 [doi]
• Simulation-based solution of load-balancing problems in the photolithography area of a semiconductor wafer fabrication facilityLars Mönch, Matthias Prause, Volker Schmalfuss. 1170-1177 [doi]
• Cycle time versus throughput analysis: an overall framework for generating simulation-based cycle time-throughput curvesSungmin Park, Gerald T. Mackulak, John W. Fowler. 1178-1187 [doi]
• Sizing a pilot production line using simulationPeng Qu, Geoffrey E. Skinner, Scott J. Mason. 1188-1193 [doi]
• Critical tools identification and characteristics curves construction in a wafer fabrication facilityDima Nazzal, Mansooreh Mollaghasemi. 1194-1199 [doi]
• Scheduling and dispatching: scheduling batch processing machines in complex job shopsKasin Oey, Scott J. Mason. 1200-1207 [doi]
• Scheduling setup changes at bottleneck facilities in semiconductor manufacturingZaid Duwayri, Mansooreh Mollaghasemi, Dima Nazzal. 1208-1214 [doi]
• Dispatching heuristic for wafer fabricationLoo Hay Lee, Loon Ching Tang, Soon Chee Chan. 1215-1219 [doi]
• Modeling methodology: the shortest processing time first (SPTF) dispatch rule and some variants in semiconductor manufacturingOliver Rose. 1220-1224 [doi]
• Implementation of response surface methodology using variance reduction techniques in semiconductor manufacturingCharles D. McAllister, Bertan Altuntas, Matthew Frank, Juergen Potoradi. 1225-1230 [doi]
• Graphical methods for robust design of a semiconductor burn-in processScott L. Rosen, Chad A. Geist, Daniel A. Finke, Jyotirmaya Nanda, Russell R. Barton. 1231-1237 [doi]
• Business process simulation: simulation in government: validating business strategyShelly Shrader. 1259-1261 [doi]
• Averages kill: (or how to sell business process simulation)Mark R. Grabau. 1262-1265 [doi]
• Fluid models: an empirical validation of a duality model of tcp and queue management algorithmsSanjeewa Athuraliya, Steven H. Low. 1269-1274 [doi]
• Fluid model for window-based congestion control mechanismRichard J. La. 1282-1290 [doi]
• Fluid simulation: discrete event fluid modeling of TCPDavid M. Nicol. 1291-1299 [doi]
• On the impact of concurrent downloadsYong Liu, Weibo Gong, Prashant J. Shenoy. 1300-1305 [doi]
• On improving the performance of simulation-based algorithms for average reward processes with application to network pricingEnrique Campos-Náñez, Stephen D. Patek. 1306-1314 [doi]
• Wireless: towards high performance modeling of the 802.11 Wireless protocolJason Liu, David M. Nicol, L. Felipe Perrone, Michael Liljenstam. 1315-1320 [doi]
• Use of DaSSF in a scalable multiprocessor wireless simulation architectureTrefor J. Delve, Nathan Smith. 1321-1329 [doi]
• Simulating networks of wireless sensorsSung Park, Andreas Savvides, Mani B. Srivastava. 1330-1338 [doi]
• Communications and network: benefits from semi-asynchronous checkpointing for time warp simulations of a large state PCS modelAndrea Santoro, Francesco Quaglia. 1339-1345 [doi]
• Satellite communications representation in network simulationKenneth Y. Jo. 1346-1352 [doi]
• Experiences parallelizing a commercial network simulatorHao Wu, Richard Fujimoto, George F. Riley. 1353-1360 [doi]
• Complex and interconnected systems: optimistic parallel simulation of a large-scale view storage systemGarrett R. Yaun, Christopher D. Carothers, Sibel Adali, David L. Spooner. 1363-1371 [doi]
• Towards COTS distributed simulation using GRIDSSimon J. E. Taylor, Rajeev Sudra, Tharumasegaram Janahan, Gary S. H. Tan, John Ladbrook. 1372-1379 [doi]
• Simulation of rare events in transportation systemsLori M. Kaufman, Ted C. Giras. 1380-1385 [doi]
• Healthcare I: a discrete-event simulation application for clinics serving the poorChristos Alexopoulos, David Goldsman, John Fontanesi, Mark Sawyer, Michelle De Guire, David Kopald, Kathy Holcomb. 1386-1391 [doi]
• A simulation study of the labor and delivery rooms at JMHMartha A. Centeno, Marsha A. Lee, Elizabeth Lopez, Helida R. Fernandez, Manuel Carrillo, Tom Ogazon. 1392-1400 [doi]
• The use of simulation for process improvement at an ambulatory surgery centerFrancisco J. Ramis, Jorge L. Palma, Felipe F. Baesler. 1401-1404 [doi]
• Healthcare II: multi-objective simulation optimization for a cancer treatment centerFelipe F. Baesler, José A. Sepúlveda. 1405-1411 [doi]
• A proposed approach for modeling healthcare systems for understandingTillal Eldabi, Ray J. Paul. 1412-1420 [doi]
• Using Monte Carlo simulation to assess the value of combination vaccines for pediatric immunizationSheldon H. Jacobson, Edward C. Sewell, Bruce G. Weniger. 1421-1428 [doi]
• Call center scheduling technology evaluation using simulationSandeep Gulati, Scott A. Malcolm. 1438-1442 [doi]
• Choosing among seven basesStuart Gittlitz. 1443-1449 [doi]
• Emulation: debug it in the lab --- not on the floorCindy Schiess. 1463-1465 [doi]
• Panel: simulation optimization: future of simulation optimizationJustin Boesel, Royce Bowden, Fred Glover, James P. Kelly, Erik Westwig. 1466-1469 [doi]
• Data exchange standards for simulation: integrating capacity simulation into process planningVaughan Hetem. 1470-1472 [doi]
• Simulation data exchange (SDX) implementation and useDavid P. Sly, Shreekanth Moorthy. 1473-1477 [doi]
• The expanding role of simulation in future manufacturingCharles McLean, Swee Leong. 1478-1486 [doi]
• Construction I: simulation of bored pile constructionTarek M. Zayed, Daniel W. Halpin. 1495-1503 [doi]
• Comparison of simulation modeling techniques that use preemption to capture design uncertaintyNuno Gil, Iris D. Tommelein. 1504-1511 [doi]
• Design, development and application of soil transition algorithms for tunneling using special purpose simulationJanaka Y. Ruwanpura, Simaan M. AbouRizk. 1512-1520 [doi]
• Construction II: simulation of production homebuilding using simphonyAnil Sawhney, Howard H. Bashford, Kenneth D. Walsh, André Mund. 1521-1527 [doi]
• Enabling smooth and scalable dynamic 3D visualization of discrete-event construction simulationsVineet R. Kamat, Julio C. Martínez. 1528-1533 [doi]
• Practical approaches for validating a construction simulationJonathan Jingsheng Shi. 1534-1540 [doi]
• Construction III: using belief networks to assess riskBrenda McCabe, Donald Ford. 1541-1546 [doi]
• On the use of fuzzy clustering in construction simulationMohamed Marzouk, Osama Moselhi. 1547-1555 [doi]
• Plenary session: thoughts and musings on simulation educationRichard E. Nance, Osman Balci. 1567-1570 [doi]
• Panel: academic perspectives: various ways academics teach simulation: are they all appropriate?Tayfur Altiok, W. David Kelton, Pierre L Ecuyer, Barry L. Nelson, Bruce W. Schmeiser, Thomas J. Schriber, Lee Schruben, James R. Wilson. 1580-1591 [doi]
• Curriculum for simulation education: integration of computer simulation and visualization research into undergraduate degree programsT. Andrew Yang. 1592-1595 [doi]
• More on a model curriculum for modeling and simulationRoy E. Crosbie, John J. Zenor, Ralph C. Hilzer Jr.. 1596-1598 [doi]
• Why we need to offer a modeling and simulation engineering curriculumLeo J. de Vin, Mats Jägstam. 1599-1604 [doi]
• Teaching tools and methods: GeNisa: a web-based interactive learning environment for teaching simulation modellingTajudeen A. Atolagbe, Vlatka Hlupic, Simon J. E. Taylor. 1605-1612 [doi]
• Teaching manufacturing systems simulation in a computer aided teaching studioCharles R. Standridge. 1613-1618 [doi]
• YACHTS: yet another cooperative high level architecture training softwareAgostino G. Bruzzone, Roberto Mosca, Roberto Revetria. 1619-1623 [doi]
• Teaching simulation and simulation for teaching: assessment of student preparation for discrete event simulation coursesLeonardo Chwif, Marcos Ribeiro Pereira Barretto, Ray J. Paul. 1624-1631 [doi]
• A crowd of little man computers: visual computer simulator teaching toolsWilliam Yurcik, Hugh Osborne. 1632-1639 [doi]