Table of Contents

• Introduction to simulationArne Thesen, Laurel E. Travis. 5-14 [doi]
• Selecting simulation softwareJerry Banks. 15-20 [doi]
• Secrets of successful simulation studiesAverill M. Law, Michael G. McComas. 21-27 [doi]
• Output analysis for simulationAndrew F. Seila. 28-36 [doi]
• Simulation model verification and validationRobert G. Sargent. 37-47 [doi]
• Avoiding the problems and pitfalls in simulationRandall P. Sadowski. 48-55 [doi]
• GPSS World: a brief previewSpringer W. Cox. 59-61 [doi]
• SIMSCRIPT II.5 and MODSIM II: a brief introductionEdward C. Russell. 62-66 [doi]
• Perspectives on simulation using GPSSThomas J. Schriber. 67-71 [doi]
• NETWORK II.5, LANNET II.5 and COMNET II.5William J. Garrison. 72-76 [doi]
• Introduction to SIMFACTORY II.5John Goble. 77-80 [doi]
• GPSS/H in the 1990sDaniel T. Brunner, Robert C. Crain. 81-85 [doi]
• Simulation of computer systems and networks with MOGUL and REGALPeter L. Haigh. 86-89 [doi]
• Proof animation: the general purpose animatorDaniel T. Brunner, Nancy J. Earle, James O. Henriksen. 90-94 [doi]
• SIGMA tutorialLee W. Schruben. 95-100 [doi]
• ProModel tutorialCharles R. Harrell, Ken Tumay. 101-105 [doi]
• Introduction to SIMAN IVCynthia J. Kasales, David T. Sturrock. 106-111 [doi]
• SLAM II tutorialJean J. O Reilly. 112-117 [doi]
• Introduction to SLAMSYSTEMWilliam R. Lilegdon. 118-121 [doi]
• Computer animation with CINEMADavid R. Kalasky, Deborah A. Davis. 122-127 [doi]
• Tutorial: scheduling manufacturing systems with FACTORDavid Krahl. 128-131 [doi]
• Simulation with SIMNET IIHamdy A. Taha. 132-135 [doi]
• UniFit II: total support for simulation input modelingStephen G. Vincent, Averill M. Law. 136-142 [doi]
• Introduction to simulation using Intelligent Simulation Interface (ISI)Joseph M. Fegan, Gearóid M. Lane, Paul J. Nolan. 143-147 [doi]
• Reusable models: making your models more user-friendlyOnur M. Ülgen, Norm Otto, Timothy Thomasma. 148-151 [doi]
• PASION tutorialStanislaw Raczynski. 152-156 [doi]
• Designing simulation experiments: Taguchi methods and response surface metamodelsJohn S. Ramberg, Susan M. Sanchez, Paul J. Sanchez, Ludwig J. Hollick. 167-176 [doi]
• Methods for selecting the best systemDavid Goldsman, Barry L. Nelson, Bruce W. Schmeiser. 177-186 [doi]
• Multivariate simulation output analysisJohn M. Charnes. 187-193 [doi]
• Object-oriented simulationDiane P. Bischak, Stephen D. Roberts. 194-203 [doi]
• Extending common LISP object system for discrete event modeling and simulationSüleyman Sevinc. 204-206 [doi]
• An overview of derivative estimationPierre L Ecuyer. 207-217 [doi]
• Tutorial: artificial intelligence and simulationJeff Rothenberg. 218-222 [doi]
• Linking simulation model specification and parallel execution through UNITYMarc Abrams, Ernest H. Page, Richard E. Nance. 223-232 [doi]
• Simulation program development by stepwise refinement in UNITYMarc Abrams, Ernest H. Page, Richard E. Nance. 233-242 [doi]
• Iterative design of efficient simulations using MaisieRajive Bagrodia. 243-247 [doi]
• Real-time control of a manufacturing cell using knowledge-based simulationS. Manivannan, Jerry Banks. 251-260 [doi]
• Using simulation to test the robustness of various existing production control policiesSheldon X. C. Lou, Houmin Yan, Suresh P. Sethi, Anne Gardel, Prabhat Deosthali. 261-269 [doi]
• Batching annealing operations to optimize queueing times and furnance efficiency: a simulation modelPierre A. Lefrançois, Pierre L Espérance, Marc Turmel. 270-279 [doi]
• Combinatorial scheduler: simulation & optimization algorithmToshiharu Aoki, Shusuke Nakayama, Mariko Yamamoto, Mariko Hashimoto, Jun-ichiro Tanaka. 280-288 [doi]
• Super simulation shell for plantsZen-ichirou Muro, Norihiko Yanagihara, Hideo Fujimoto. 289-293 [doi]
• Design and analysis of a flexible manufacturing system with simulation - effects of flexibility on FMS performanceSusumu Morito, Tomohiro Takano, Hisanobu Mizukawa, Kiyohisa Mizoguchi. 294-301 [doi]
• An approach to object-oriented discrete-event simulation of manufacturing systemsJohn P. Shewchuk, Tien-Chien Chang. 302-311 [doi]
• Object oriented simulation with SMALLTALK-80: a case studyJocelyn R. Drolet, Colin L. Moodie, Benoît Montreuil. 312-322 [doi]
• Object oriented simulation tools necessary for a flexible batch process management architectureChell A. Roberts, Terrence G. Beaumariage, Yasser Dessouky, Michael K. Ogle. 323-330 [doi]
• The modeling of perfect sequencing flexibilty in a scheduling environmentThomas J. Schriber. 331-340 [doi]
• Common features of simulation based schedulingF. Paul Wyman. 341-347 [doi]
• Total capacity management using simulationA. Alan B. Pritsker, David P. Yancey. 348-355 [doi]
• Simulation models of materials delivery systemsVadivelu Jeyabalan, Norman C. Otto. 356-364 [doi]
• Design and analysis of computer-aided cart systems for picking discrete itemsSoemon Takakuwa. 365-374 [doi]
• Material handling in a flexible manufacturing system processing part familiesPaul A. Savory, Gerald T. Mackulak, Jeffery K. Cochran. 375-381 [doi]
• Simulation and scheduling (panel)Voratas Kachitvichyanukul, Wayne J. Davis, Claude Dennis Pegden, Kenneth J. Musselman, Ricki G. Ingalls, Walter J. Trybula. 382-391 [doi]
• Simulation of a centralized mail distribution centerGustavo A. Diaz, Betsi M. Harris. 392-395 [doi]
• Material handling requirements for a distribution centerRoger D. Phillips. 396-401 [doi]
• Airline-catering plant material handling system analysis with simulation and scaled animationZhao Xu, Reza M. Pirasteh. 402-410 [doi]
• Effective application of simulation in the life cycle of a manufacturing cell projectJerry G. Fox, Stephen K. Halladin. 411-418 [doi]
• Measuring the user acceptance of generic manufacturing simulation models by review of modeling assumptionsNur E. Özdemirel. 419-427 [doi]
• Concepts for production modeling systems based on multiple user typesCharles R. Standridge, Martha A. Centeno. 428-434 [doi]
• Capacity planning in wood products industry using simulationTarun Gupta, Subramaniam Arasakesari. 435-440 [doi]
• Understanding modular manufacturing in the apparel industry using simulationJian Wang, Bernard J. Schroer, M. Carl Ziemke. 441-447 [doi]
• An approach to modeling labor and machine down time in semiconductor fabricationSusan S. Baum, Cheryl M. O Donnell. 448-454 [doi]
• An approach to the construction and usage of simulation modeling in the shipbuilding industryMark Brazier, Carl J. Perry. 455-464 [doi]
• A survey of varied production systems and different aspects using computersimulationK. Heinz Weigl. 465-473 [doi]
• Simulation studies in a hot mill facilityLaura Giussani. 474-481 [doi]
• Simulation modeling for military logistics and supportability studiesC. Gregory John, Rodney E. Schultz. 485-490 [doi]
• Combat Vehicle Reliability Assessment Simulation Model (CVRASM)Stephen R. Parker. 491-498 [doi]
• When is a satellite not a toaster?Christopher A. Feuchter, Charles A. Van Meter, Kurt M. Neuman, Kalla J. Sparrow. 499-508 [doi]
• An assessment of the ModSim/TWOS parallel simulation environmentDavid O. Rich, Randy E. Michelsen. 509-518 [doi]
• Modeling and simulation: a Department of Defense critical technologyThomas F. Schuppe. 519-525 [doi]
• Airborne Battlefield Command and Control Center (ABCCC) III capacity studyLarry D. Cork, David R. Holmen. 526-534 [doi]
• A Desert Storm crew flying hour modelJoseph R. Litko, William Brand Carter. 535-541 [doi]
• Impact of C-130 reliability and maintainability on future theater airlift system productivitySteven J. Wourms, Kenneth W. Bauer Jr.. 542-548 [doi]
• Evaluation of F-15E availability during operational testLetitia M. Pohl. 549-554 [doi]
• MTW: an empirical performance studyLisa Sokol, Jon B. Weissman, Paula A. Mutchler. 557-563 [doi]
• Parallel simulation of performance Petri nets: extending the domain of parallel simulationGregory S. Thomas, John Zahorjan. 564-573 [doi]
• Parallel simulation of timed Petri-netsDavid M. Nicol, Subhas C. Roy. 574-583 [doi]
• Environment partitioned distributed simulation of queueing systemsJohn Craig Comfort. 584-592 [doi]
• Parallel instance discrete-event simulation using a vector uniprocessorJames F. Ohi, Bruno R. Preiss. 593-601 [doi]
• A performance model for parallel simulationPhillip M. Dickens, Paul F. Reynolds Jr.. 618-626 [doi]
• Measuring the overhead in conservative parallel simulations of multicomputer programsMary L. Bailey, Michael A. Pagels. 627-636 [doi]
• Fault-tolerant distributed simulationBojan Groselj. 637-641 [doi]
• The cost of terminating synchronous parallel discrete-event simulationsVasant Sanjeevan, Marc Abrams. 642-651 [doi]
• An efficient and scalable parallel algorithm for discrete-event simulationSushil K. Prasad, Narsingh Deo. 652-658 [doi]
• The robustness of separable queueing network modelsCharles E. Knadler Jr.. 661-668 [doi]
• On the performance of the immediate restart concurrency control policyAbbas Asadi-Arbabi, Sayed Atef Banawan. 669-676 [doi]
• A systems simulation approach to integrate maintenance operationsGölgen Bengü, Juan Carlos Ortiz. 677-687 [doi]
• A teletraffic simulator for circuit switched and signaling intelligent network with SS7Sophia Scoggins, Mark Scoggins, Jerrold Stach. 688-694 [doi]
• Performance evaluation of ATM architectures in multimedia traffic environmentsSiddharth Behera, Gopal Meempat. 695-704 [doi]
• The simulation of the non-linear dynamic behavior of distributed routing networks using DECSIMNicholas Ilyadis, Peter Drexel, Andrzej Rucinski. 705-715 [doi]
• Generic approach to LAN modelingPrabhudeva Kavi, Victor S. Frost, K. Sam Shanmugan. 716-724 [doi]
• Interconnected ring networks: a performance studySub Ramakrishnan, Pratap Thondapu. 725-730 [doi]
• An efficient channel-feedback-based adaptive protocol for scheduling variable-length messages on slotted, high-speed fiber optic-LANs/MANsSubrata Banerjee, Biswanath Mukherjee. 731-738 [doi]
• The National Simulation Laboratory: the unifying tool for air traffic control system developmentRandall J. Stevens, Glenn F. Roberts. 741-746 [doi]
• Dynamic traffic flow planning for ATC and airspace user requirementsW. Manning, Bela Collins. 747-755 [doi]
• Issues in modeling a national network of airportsAmedeo R. Odoni. 756-761 [doi]
• Macroscopic simulation model for freeway traffic with jams and stop-start wavesReinhart D. Kühne, Malte B. Rödiger. 762-770 [doi]
• Integrating GIS, simulation and animationEdward Lieberman. 771-775 [doi]
• Operational planning for electronic toll collection: a unique approach to computer modeling/analysisJohn Danko, Victor Gulewicz. 776-785 [doi]
• Application of an integrated modeling tool: United Parcel ServiceThomas M. Swip Jr., Heungsoon Felix Lee. 786-791 [doi]
• A rapid railway simulation model development system incorporating automatic model generationKyriakos Tsiflakos, Stephen C. Mathewson. 792-801 [doi]
• Simulation of Fox River locks boat liftD. Brent Bandy. 802-808 [doi]
• Computer simulation: an important tool in the fast-food industryA. K. Kharwat. 811-815 [doi]
• Applying the simulation process: simulation study of HDA parts degreaserRobert Kittell, Ann Dunkin. 816-821 [doi]
• Toward a higher level, output analysis interfaceEdward A. MacNair, Peter D. Welch. 822-831 [doi]
• A methodology for simulation the U.S. recreational fishery for billfishMark I. Farber. 832-840 [doi]
• The financial impact of biotechnology on hog production: a dynamic-stochastic capital budgeting simulation approachConrado M. Gempesaw II, Catherine K. Halbrendt. 841-845 [doi]
• A simulation model for same day care facility at a university hospitalWafik H. Iskander, D. Mark Carter. 846-853 [doi]
• A method for generating random cutting-tool requirement matrices for manufacturing systems simulationDharmaraj Veeramani, Moshe M. Barash, James R. Wilson. 854-860 [doi]
• A method for randomly generating capacitated networksKwang Shin, Steve Corder. 861-865 [doi]
• Optimization test problems with uniformly distributed coefficientsCharles H. Reilly. 866-874 [doi]
• Object-oriented graphical analysisCatherine Hurley. 877-881 [doi]
• Classroom goodness of fit testing using Microsoft WindowsDonald L. Byrkett. 882-886 [doi]
• Current issues in metamodeling (panel)Robert G. Sargent. 887 [doi]
• Research issues in metamodelingRobert G. Sargent. 888-893 [doi]
• Multicriteria optimization of simulation modelsGerald W. Evans, Bruce E. Stuckman, Mansooreh Mollaghasemi. 894-900 [doi]
• Retrospective simulation response optimizationKevin J. Healy, Lee W. Schruben. 901-906 [doi]
• Solution to the indexing problem of frequency domain simulation experimentsMousumi Mitra Hazra, Stephen K. Park. 907-915 [doi]
• Cramér-von Mises variance estimators for simulationsDavid Goldsman, Keebom Kang, Andrew F. Seila. 916-920 [doi]
• Average regression-adjusted controlled regenerative estimatesPeter A. W. Lewis, Richard L. Ressler. 921-926 [doi]
• SERVO: simulation experiments with random-vector outputBruce W. Schmeiser, Mark D. Scott. 927-936 [doi]
• Comparison of global search methods for design optimization using simulationBruce E. Stuckman, Gerald W. Evans, Mansooreh Mollaghasemi. 937-944 [doi]
• Modifications of the Nelder-Mead simplex method for stochastic simulation response optimizationRussell R. Barton, John S. Ivey Jr.. 945-953 [doi]
• A projected stochastic approximation algorithmSigrún Andradóttir. 954-957 [doi]
• Experimental evaluation of a procedure for estimating nonhomogeneous Poisson processes having cyclic behaviorMary A. Johnson, Sanghoon Lee, James R. Wilson. 958-967 [doi]
• On using continuous flow lines for performance estimation of discrete production linesRajan Suri, Bor-Ruey Fu. 968-977 [doi]
• Empirical input distributions: an alternative to standard input distribution in simulation modelingAarti Shanker, W. David Kelton. 978-985 [doi]
• Gradient estimation for ratiosPeter W. Glynn, Pierre L Ecuyer, Michel Adès. 986-994 [doi]
• Application of perturbation analysis to (s, S) inventory systemsSridhar Bashyam, Michael C. Fu. 994-1003 [doi]
• Comparing alternative methods for derivative estimation when IPA does not apply directlyFelisa J. Vázquez-Abad, Pierre L Ecuyer. 1004-1011 [doi]
• A Monte Carlo sampling plan based on product form estimationGeorge S. Fishman. 1012-1017 [doi]
• The effects of batching on the power of the test for frequency domain methodologyDouglas J. Morrice. 1018-1022 [doi]
• A replication approach to interval estimation in simulationMurat Köksalan, Nail Basöz. 1023-1029 [doi]
• Neave effect also occurs with Tausworthe sequencesShu Tezuka. 1030-1034 [doi]
• On improving pseudo-random number generatorsLih-Yuan Deng, E. Olusegun George, Yu-Chao Chu. 1035-1042 [doi]
• Combining random number generatorsLih-Yuan Deng, Yu-Chao Chu. 1043-1046 [doi]
• Simulating human tasks using simple natural language instructionsMoon-Ryul Jung, Jugal K. Kalita, Norman I. Badler, Wallace Ching. 1049-1057 [doi]
• Generating customized text and graphics in the COMET explanation testbedMichael Elhadad, Steven Feiner, Kathleen McKeown, Dorée D. Seligmann. 1058-1065 [doi]
• Integrated interfaces for decision-support with simulationPhilip R. Cohen. 1066-1072 [doi]
• An axiomatic basis for general discrete-event modelingSanjai Narain. 1073-1082 [doi]
• Towards a logical foundation of discrete event modeling and simulationAshvin Radiya. 1083-1085 [doi]
• Qualitative modeling and simulation: promise or illusionFrançois E. Cellier. 1086-1090 [doi]
• Process control for large complex systemsFelix Bretschneider, Christa Kopf, Markus Zolg. 1091-1100 [doi]
• An approach to integrating and creating flexible software environments supporting the design of complex systemsKirstie L. Bellman. 1101-1105 [doi]
• A framework for simulation design of flexible manufacturing systemsMarco Chierotti, Jerzy W. Rozenblit, Witold Jacak. 1106-1114 [doi]
• Theories of discrete event model abstractionSuleyman Sevinc. 1115-1119 [doi]
• Heterogeneous decomposition and inter-level coupling for combined modelingPaul A. Fishwick. 1120-1128 [doi]
• Abstraction morphisms for world modelling in high autonomy systemsCheng-Jye Luh, Bernard P. Zeigler. 1129-1138 [doi]
• Error detection and display for graphical modeling environmentsRobert F. Gordon, Paul G. Loewner, Edward A. MacNair, Haojin Wang, Kurtiss J. Gordon, James F. Kurose. 1139-1145 [doi]
• A unified framework for visual interactive simulationMichael Rooks. 1146-1155 [doi]
• Using discrete event modeling for effective computer animation controlPaul A. Fishwick, Hanns-Oskar A. Porr. 1156-1164 [doi]
• Application of hierarchical modeling concepts to a multi-analysis environmentJoel J. Luna. 1165-1172 [doi]
• The separation and explicit declaration of model control structures in support of object-oriented simulationMichael K. Ogle, Terrence G. Beaumariage, Chell A. Roberts. 1173-1179 [doi]
• Incorporating simulation into a design environmentChristopher Landauer. 1180-1186 [doi]
• Modelling physical objects for simulationPaula Sweeney, Alan Norton, Robert Bacon, David R. Haumann, Greg Turk. 1187-1193 [doi]
• Height-field fluids for computer graphicsMichael Kass. 1194-1198 [doi]
• Principles of modeling (panel)A. Alan B. Pritsker, James O. Henriksen, Paul A. Fishwick, Gordon M. Clark. 1199-1208 [doi]
• Automatic generation of a class of simulation models from databasesRobert Bruce Taylor, Hamdy A. Taha. 1209-1217 [doi]
• Interactive experiment planning to control knowledge-based simulationRobert E. Frederking. 1218-1227 [doi]
• Simulation languages and database theory: some considerations from the entity-relationship modelRobert S. Roberts. 1228-1235 [doi]