Table of Contents

• Simulation, technology, and the decision processPhilip J. Kiviat. 1 [doi]
• Perspectives on simulation using GPSSThomas J. Schriber. 5-13 [doi]
• Introduction to simulationArne Thesen, Laurel E. Travis. 14-21 [doi]
• Artificial intelligence and simulationJeff Rothenberg. 22-24 [doi]
• Guidelines for successful simluation studiesOsman Balci. 25-32 [doi]
• Design and analysis of simulation experiments for manufacturing applicationsAverill M. Law. 33-37 [doi]
• Parallel simulation using the time warp operating systemPeter L. Reiher. 38-45 [doi]
• Smoothing time series for input and output analysis in system simulation experimentsPeter A. W. Lewis, James G. Stevens. 46-48 [doi]
• Output analysis for simulationAndrew F. Seila. 49-54 [doi]
• A five level hierarchy for the management of simulation modelsFrançois E. Cellier, Qingsu Wang, Bernard P. Zeigler. 55-64 [doi]
• Special purpose simulator developmentMarvin S. Seppanen. 67-71 [doi]
• SLAM II tutorialJean J. O Reilly, James P. Whitford. 72-76 [doi]
• Introduction to SLAMSYSTEMWilliam R. Lilegdon, Julie N. Ehrlich. 77-79 [doi]
• Simulation modeling and analysis with INSIGHT: a tutorialStephen D. Roberts, Mary Ann Flanigan Wagner. 80-88 [doi]
• Modeling efficiently with GPSS/HRobert C. Crain, Daniel T. Brunner. 89-93 [doi]
• AutoMod IIVan B. Norman. 94-98 [doi]
• Simulation and animation with SIMNET II and ISESHamdy A. Taha, Robert Bruce Taylor, Nazar Younis. 99-105 [doi]
• Proof: the general purpose animatorNancy J. Earle, Daniel T. Brunner, James O. Henriksen. 106-108 [doi]
• Introduction to SIMANDavid T. Sturrock, Claude Dennis Pegden. 109-114 [doi]
• A brief SIMSCRIPT II.5 tutorialWilliam J. Garrison. 115-117 [doi]
• MODSIM II - a modular, object-oriented languageRonald F. Belanger. 118-122 [doi]
• Computer animation with CINEMAJacob P. Poorte, Deborah A. Davis. 123-127 [doi]
• ProModel PC tutorialCharles R. Harrell, Ken Tumay. 128-131 [doi]
• NETWORK II.5 tutorial: network modeling without programmingWilliam J. Garrison. 132-135 [doi]
• Introduction to SIMFACTORY II.5John G. Goble. 136-139 [doi]
• A tutorial on GENETIK simulation and schedulingKieran H. Concannon, Paul Becker. 140-145 [doi]
• Tutorial scheduling manufacturing systems with FACTORDougls G. MacFarland, Mary E. Grant. 146-148 [doi]
• Introduction to process-oriented simulation and CSIMHerbert D. Schwetman. 154-157 [doi]
• Simulation graphical modeling and analysis (SIGMA) tutorialLee W. Schruben. 158-161 [doi]
• Introduction to the general simulation system GSS and its application to communications systemsNaeem Malik. 162-167 [doi]
• Modeling manufacturing systems using MANUPLAN and SIMSTARTER - tutorialRajan Suri, Dianne Derleth, Michael Tomsicek. 168-176 [doi]
• A tutorial on WITNESSCharles Murgiano. 177-179 [doi]
• A tutorial on UniFit II: a system for total support of simulation input modelingStephen G. Vincent, Averill M. Law. 180-185 [doi]
• A conservative approach to parallelizing the Sharks World simulationDavid M. Nicol, Scott E. Riffe. 186-190 [doi]
• Parallel simulation of the Sharks World problemRajive L. Bagrodia, Wen-Toh Liao. 191-198 [doi]
• A time warp implementation of Sharks WorldMatthew T. Presley, Peter L. Reiher, Steven F. Bellenot. 199-203 [doi]
• AI (panel session): what simulationists really need to knowDavid P. Miller, Jeff Rothenberg, David W. Franke, Paul A. Fishwick, R. James Firby. 204-209 [doi]
• A simulation from combat systems development and acceptance testingThad J. Janowiak. 210-213 [doi]
• A functional approach to simulation programmingAndrienne Bloss. 214-219 [doi]
• The runtime creation of code for printing simulation outputJohn H. Reynolds. 220-223 [doi]
• Defense science board recommendations: an examination of defense policy on the use of modeling and simulationBarry M. Horowitz. 224-230 [doi]
• Simulation for design, test and evaluation, and training: reconciling the differencesRonald G. Hughes. 231-236 [doi]
• Future real-time testing and evaluation computing environmentsDouglas R. Goodman, Robert G. Enk. 237-242 [doi]
• Integrated support environments for simulation modellingDavid W. Balmer, Ray J. Paul. 243-249 [doi]
• Proving temporal properties of hybrid systemsSanjai Narain, Jeff Rothenberg. 250-256 [doi]
• Model generation issues in a simulation support environmentOsman Balci, Richard E. Nance, E. Joseph Derrick, Ernest H. Page, John L. Bishop. 257-263 [doi]
• Lattice structure of pseudorandom sequences from shift-register generatorsShu Tezuka. 266-269 [doi]
• Solving product form stochastic networks with Monte Carlo summationKeith W. Ross, Jie Wang. 270-275 [doi]
• Sequential Bayesian analysis of simulation experimentsJorge Haddock, Thomas R. Willemain. 276-280 [doi]
• Power comparisons for the multivariate batch-means methodJohn M. Charnes. 281-287 [doi]
• Batch-size effects on simulation optimization using multiple comparisons with the bestLynne Goldsman, Barry L. Nelson. 288-293 [doi]
• Characterizing distributions of discrete bivariate random variables for simulation and evaluation of solution methodsBridget A. Moore, Jeffrey A. Peterson, Charles H. Reilly. 294-302 [doi]
• The application of experimental design to the analysis of semiconductor manufacturing linesSarah J. Hood, Peter D. Welch. 303-309 [doi]
• Using experimental design to improve the efficiency of simulation modeling - a manufacturing perspectiveSteve Hatami, Earl L. Cowley, Cynthia L. Morey. 310-313 [doi]
• Models of random machine downtimes for simulationAverill M. Law. 314-316 [doi]
• Sensitivity analysis with regard to capacity expansion in network flow simulationChristos Alexopoulos, George S. Fishman. 317-322 [doi]
• Control variates for stochastic network simulationThanos N. Avramidis, James R. Wilson. 323-332 [doi]
• Fitting parametric models by conditional simulationRussell C. H. Cheng. 333-336 [doi]
• Some optimal simulation designs for estimating quadratic response surface functionsJoan M. Donohue, Ernest C. Houck, Raymond H. Myers. 337-343 [doi]
• Statistics and deterministic simulation models: why not?Jack P. C. Kleijnen. 344-346 [doi]
• Heuristic diagnostics for the presence of pure error in computer simulation modelsJeffrey D. Tew, Marnita D. Crenshaw. 347-356 [doi]
• Initial transient effects in the frequency domainDouglas J. Morrice, Lee W. Schruben, Sheldon H. Jacobson. 357-359 [doi]
• System identification using frequency domain methodologyArnold H. Buss. 360-363 [doi]
• A new algorithm for stochastic optimizationSigrún Andradóttir. 364-366 [doi]
• Use of common random numbers in comparing alternativesGordon M. Clark. 367-371 [doi]
• Finite-time behavior of two simulation optimization algorithmsYing Tat Leung, Rajan Suri. 372-376 [doi]
• Bias properties of infinitesimal perturbation analysis for multi-server queuesMichael C. Fu, Jian-Qiang Hu. 377-381 [doi]
• Alternative approaches for specifying input distributions and processes (panel session)W. David Kelton, Bennett L. Fox, Mark E. Johnson, Averill M. Law, Bruce W. Schmeiser, James R. Wilson, John Meszaros, Cynthia L. Morey, Susan E. Romens. 382-386 [doi]
• Single-replication simulationDavid Goldsman, James J. Swain, David H. Withers. 387-391 [doi]
• Simulation and regression: dealing with the assumption of a common error variancePeter D. Welch. 392-394 [doi]
• Overlapping batch statisticsBruce W. Schmeiser, Thanos N. Avramidis, Sherif Hashem. 395-398 [doi]
• The role of polymorphism in class evolution in the DEVS-scheme environmentTag Gon Kim. 401-406 [doi]
• Applying knowledge-based system design and simulation in information system requirements determinationKung-Chao Liu, Jerzy W. Rozenblit. 407-411 [doi]
• Expert simulation system based on a relational databaseRobert E. Shannon, Martha A. Centeno. 412-414 [doi]
• A unified distributed simulation systemJeff McAffer. 415-422 [doi]
• Distributed simulation: no special tools requiredFrank Paterra, C. Michael Overstreet, Kurt Maly. 423-427 [doi]
• An approach towards distributed simulation of timed petri netsDevendra Kumar, Saad Harous. 428-435 [doi]
• Simultaneous events and distributed simulationBruce A. Cota, Robert G. Sargent. 436-440 [doi]
• Time-based performance evaluation of protocols for distributed systems: an alternative to message countingPhil Kearns, Jeffery E. Payne. 441-445 [doi]
• Restructuring networks to avoid deadlocks in parallel simulationsChristopher H. Nevison. 446-452 [doi]
• Interactive simulation (panel session)Charles R. Standridge, Kenneth M. Matwiczak, Deborah A. Davis, Kenneth J. Musselman, Daniel T. Brunner. 453-458 [doi]
• Simulation modelling support via network based conceptsStephen C. Mathewson. 459-467 [doi]
• Analysis of Markov chains using simulation graph modelsEnver Yücesan. 468-471 [doi]
• A framework for reusability using graph-based modelsDana L. Wyatt. 472-476 [doi]
• Experiences in developing in object-oriented modeling environment for manufacturing systemsChuda B. Basnet, Phillip A. Farrington, David B. Pratt, Manjunath Kamath, S. Cem Karacal, Terrence G. Beaumariage. 477-481 [doi]
• Object oriented programming languages for developing simulation-related softwareTimothy Thomasma, James Madsen. 482-485 [doi]
• Computational mechanics solvers based on object-oriented design principlesJoseph Whitesell, John D. Reid. 486-489 [doi]
• Object oriented visual interactive simulationRanko Vujosevic. 490-498 [doi]
• Hierarchical modeling in a graphical simulation systemRobert F. Gordon, Edward A. MacNair, Kurtiss J. Gordon, James F. Kurose. 499-503 [doi]
• General purpose visual simulation system: a functional descriptionJohn L. Bishop, Osman Balci. 504-512 [doi]
• Fuzzy set methods for qualitative and natural language oriented simulationPaul A. Fishwick. 513-519 [doi]
• Accuracy in qualitative descriptions of behaviourTony Morgan. 520-526 [doi]
• Fuzzy measures in inductive reasoningDonghui Li, François E. Cellier. 527-538 [doi]
• A fast simulation approach for tandem queueing systemsLiang Chen, Chien-Liang A. Chen. 539-546 [doi]
• Template based simulators: an example from manufacturingArne Thesen. 547-550 [doi]
• A generalized reliability block diagram (RBD) simulationKerry D. Figiel, Dileep R. Sule. 551-556 [doi]
• Electronic manufacturing cell design using PC-based modeling and simulation toolsRavindra K. Gujar, Paul F. Desruelle, Randall E. Hammer. 559-563 [doi]
• Simulation: the small manufacturer s unknown needWalter J. Trybula. 564-566 [doi]
• A flexible simulation framework for evaluating multi-level, heuristic-based production control strategiesG. Don Taylor. 567-569 [doi]
• The representation of accounting data in industrial simulationCraig McLanahan, Michael G. Ketcham. 570-577 [doi]
• Financial simulation: combining cost information in systems analysisMichael J. O Loughlin, Mary K. Driskell, Gregory W. W. Diehl. 578-581 [doi]
• Simultaneous cost and production analysis of manufacturing systemsDavid P. Christy, George B. Kleindorfer. 582-589 [doi]
• Effective cost modeling on the factory floor (panel session): taking simulation to the bottom lineJohn S. Zuk, George B. Kleindorfer, Robert D. Moore, William B. Nordgren, Don T. Phillips. 590-594 [doi]
• Implementation issues using simulation for real-time scheduling, control, and monitoringCatherine M. Harmonosky. 595-598 [doi]
• A simulation-based work order release mechanism for a flexible manufacturing systemDaniel J. Muller, John K. Jackman, Charles Fitzwater. 599-602 [doi]
• Towards a real-time knowledge-based simulation system for diagnosing machine tool failureS. Manivannan, Jerry Banks. 603-608 [doi]
• A simulation model for production scheduling of a facility in a process industryTodd A. Barnes, L. Leslie Gardner. 609-613 [doi]
• Near-term distributed simulation of apparel manufacturingRoy P. Pargas, John C. Peck, Prashant K. Khambekar, Satish K. Dharmaraj. 614-618 [doi]
• A methodology for development of simulation based production schedule generation systemsKnud Erik Wichmann. 619-624 [doi]
• ALSS II: the Advanced Assembly Line System SimulatorMarvin S. Seppanen. 625-631 [doi]
• Data requirements for analysis of manufacturing systems using computer simulationSteve Hatami. 632-635 [doi]
• Simulation of a new cellular manufacturing facility for the SSC particle acceleratorDavid R. Kalasky. 636-640 [doi]
• Using computer simulation to compare tool delivery systems in an FMCEric P. Hedlund, Wayne J. Davis, Peter L. Webster. 641-645 [doi]
• A macro/micro modeling approach to the simulation of cellular manufacturing systemsSuraj M. Alexander, William E. Biles, Gerald W. Evans, Ismail M. Zahran. 646-652 [doi]
• Performance of dispatching rules under perfect sequencing flexibilityRam Rachamadugu, Thomas J. Schriber. 653-658 [doi]
• Detailed simulation for semiconductor manufacturingRobert W. Atherton, Linda F. Atherton, Mark Pool. 659-663 [doi]
• SBDDS - a simulation based decision support systemMaryam S. Shahraray, Martin Maeschke. 664-668 [doi]
• Using the MAXX simulator for electronic card manufacturingStephen J. Buckley, Darcy M. Palmer, Chae An, James U. Korein, Javad Ahmadi, Peng Si Ow, Urban Brunner. 669-675 [doi]
• An AGVS simulation code generator for manufacturing applicationsDah-Chuan Gong, Leon F. McGinnis. 676-682 [doi]
• Using simulation in design of a cellular assembly plant with automatic guided vehiclesOnur M. Ülgen, Pankaj Kedia. 683-691 [doi]
• Building flexible AGV and ASRS system models for facility design phase applicationsRonald L. Webster, David F. Foster. 692-698 [doi]
• A case study: simulation of packaging line control logicStuart Gittlitz. 699-706 [doi]
• Multiobjective optimization and analysis of picking/conveyance systemsSoemon Takakuwa. 707-713 [doi]
• Modeling high volume conveyor sorting systemsChristine M. Geinzer, John P. Meszaros. 714-719 [doi]
• Vectorization and parallelization of transport Monte Carlo simulation codesKenichi Miura. 722-730 [doi]
• Unboundedly parallel simulations via recurrence relations for network and reliability problemsAlbert G. Greenberg, Boris D. Lubachevsky, Isi Mitrani. 731-733 [doi]
• Parallel trace-driven cache simulation by time partitioningPhilip Heidelberger, Harold S. Stone. 734-737 [doi]
• Using discrete event simulation to evaluate housestaff work schedulesRobert W. Klein, Robert S. Dittus, David J. DeBrota, Mark A. Dame. 738-742 [doi]
• A simulation model for assessing fishing fleet performance under uncertaintyHarvey H. Millar, Eldon A. Gunn. 743-748 [doi]
• A systems analysis and model of a parallel multi-server queueing systemThomas D. Clark Jr., Donald H. Hammond, Kathy L. McCommon. 749-752 [doi]
• The role of interactive graphics when applying traffic simulation modelsEdward B. Lieberman, Barbara Andrews. 753-758 [doi]
• Traffic modeling software for IVHS applicationsAlberto J. Santiago, Hobih Chen. 759-762 [doi]
• Dynamic simulation-assignment methodology to evaluate in-vehicle information strategies in urban traffic networksR. Jayakrishnan, Hani S. Mahmassani. 763-769 [doi]
• Flow profile comparison of a microscopic car-following model and a macroscopic platoon dispersion model for traffic simulationDonald T. Gantz, James R. Mekemson. 770-774 [doi]
• Use of multimedia to augment simulationPeter Aiken, Frank Armour, Peggy Lane Brouse, N. Ann Fields, Mandy Hassanpour, Jianhong Liang, James D. Palmer. 775-783 [doi]
• Examination of air traffic flow at a major airportFathi Sokkar, Stewart V. Nelson, Andy Harjanto. 784-792 [doi]
• A multi-purpose toll collection plaza modelAndrew J. Junga. 793-797 [doi]
• Using computer simulation for rapid transit operating strategiesJohn S. Carson II, Onala M. Atala. 798-801 [doi]
• The use of computer simulation for marine terminal planningBeth C. Carpenter, Thomas Ward. 802-804 [doi]
• Simulation of the LAN behavior in the distributed HP-UXenvironmentJoseph J. Devai, Thomas C. Kerrigan, Michael K. Molloy. 805-812 [doi]
• Simulation of a real-time fault detection and analysis system for a CIM token ring networkMark D. Pardue, James D. Palmer. 813-819 [doi]
• A simulation study of the communications performance of the federal avition Aministration Mode Select Beacon System for airtraffic controlCharlotte Laqui, Yaoshuang Qu. 820-825 [doi]
• Disk I/O, a study in shifting bottlenecksCharles E. Knadler Jr., Ralph M. May. 826-830 [doi]
• Simulating dedicated Unix PC-based application systemsBoleslaw K. Szmanski, Steven H. Azzaro. 831-838 [doi]
• Effects of distributed database modeling on evaluation of transaction rollbacksRavi Mukkamala. 839-845 [doi]
• System performance analysis with an Ada process model developmentJoseph A. Viceroy. 846-850 [doi]
• On comparing load indices using oracle simulationSayed Atef Banawan, John Zahorjan. 851-856 [doi]
• Developing a simulator for the USC orthogonal multiprocessorSharad Mehrotra. 857-862 [doi]
• The Oak Ridge Spreadsheet Battle ModelDean S. Hartley III. 863-869 [doi]
• Toward real time simulation: prototyping of a large scale parallel ground target simulationJohn B. Gilmer Jr., David W. O Brien, Jeffery E. Payne. 870-877 [doi]
• Ammunition upload and deployment V2.0: a simulation analysisStephen Richard Parker. 878-883 [doi]
• An evaluation technique for a protocol in developmentPhilip M. Irey IV, David T. Marlow, Richard E. Nance. 884-887 [doi]
• The Command and Control Communications and Information Network Anlysis Tool (C3INAT)John P. Mullen, Jason W. Rupe, Srinagesh Gavirneni, Way Kuo. 888-894 [doi]
• A corporate strategy for implementing process simulationDougas J. Payne, Nandu N. Thondavadi, Phil Francis. 895-898 [doi]
• Modeling and analysis of a new product development in electronic sub-assembly manufacturingLeo A. Joseph, Jeffrey T. Watt, Nancy Wigglesworth. 899-903 [doi]
• Using a manufacturing based simulation package to model as customer service centerVictor Chin, Steven C. Sprecher. 904-907 [doi]
• A simulation analysis of the effects of transportation system parameters on inventory levelsR. Greer Lavery. 908-910 [doi]
• Concurrent simulation with entity life modeling: an airport simulator using AdaPen-Nan Lee, Ravinder R. Purumandla, William Nehman. 911-918 [doi]
• Evaluation of heuristics for inspection station allocation in serial production systemsSanjay Saxena, Chi-Ming Chang, Hin Bun Chow, Jim Lee. 919-922 [doi]