Table of Contents

• Simulation - striving to reach its full potential (keynote address)Frank J. Babel. 1 [doi]
• Introduction to systems analysis, modeling and simulationJ. W. Schmidt. 5-16 [doi]
• Introduction to discrete-event simulationJerry Banks, John S. Carson II. 17-23 [doi]
• Combined continuous/discrete simulation: applications, techniques and toolsFrançois E. Cellier. 24-33 [doi]
• Modeling input processesRonald L. Iman. 34-37 [doi]
• Credibility assessment of simulation resultsOsman Balci. 38-44 [doi]
• Statistical design and analysisW. David Kelton. 45-51 [doi]
• Optimization of stochastic systemsPeter W. Glynn. 52-59 [doi]
• Variance reduction methodsRussell C. H. Cheng. 60-68 [doi]
• But Mr. President - is it ethical?John McLeod. 69-71 [doi]
• Introduction to GPSSThomas J. Schriber. 75-86 [doi]
• SIMSCRIPT II.5 tutorialEdward C. Russell. 87-88 [doi]
• SLAM II, including a material handling extensionJean J. O'Reilly. 89-94 [doi]
• Introduction to SIMANClaude Dennis Pegden. 95-103 [doi]
• Modeling and simulation with INSIGHTStephen D. Roberts. 104-112 [doi]
• Simulation with activities using C.A.P.S/E.C.S.L (the British approach to discrete-event simulation)Alan T. Clementson. 113-122 [doi]
• Object-oriented simulation - Ada, C++, SimulaBrian W. Unger. 123-124 [doi]
• The Smalltalk simulation environmentVerna Knapp. 125-128 [doi]
• Hierarchical modular modeling/knowledge representationBernard P. Zeigler. 129-137 [doi]
• Discrete event simulation in Pascal with SIMTOOLSAndrew F. Seila. 141-150 [doi]
• Simulation in Pascal with micro PASSIMClaude C. Barnett. 151-155 [doi]
• ModelMaster factory modeling system tutorialBeth A. Boiling, Marc A. Laymon. 156-159 [doi]
• XCELL: a cellular, graphical factory modelling systemRichard W. Conway, William L. Maxwell. 160-163 [doi]
• PCModel and PCModel/GAF - screen oriented modelingDavid A. White. 164-167 [doi]
• A tutorial on the SIMPLE_1 simulation environmentPhilip Cobbin. 168-177 [doi]
• A tutorial on SEE WHY and WITNESSAndrew R. Gilman, Renee M. Watremez. 178-183 [doi]
• Integrated software for manufacturing simulationKenneth D. Farnsworth, Van B. Norman, T. A. Norman. 184-192 [doi]
• A SIMFACTORY tutorialBruce L. Kleine. 193-196 [doi]
• NETWORK II.5 tutorialWilliam J. Garrison. 197-206 [doi]
• CINEMA tutorialKevin J. Healy. 207-211 [doi]
• A tutorial on TESS: The Extended Simulation SystemCharles R. Standridge, David K. Vaughan, David K. LaVal, Timothy D. Simpson. 212-217 [doi]
• A tutorial on UNIFIT: an interactive computer package for fitting probability distributions to observed dataAverill M. Law, Stephen G. Vincent. 218-222 [doi]
• Simulation and analysis with IMSL routinesJames E. Gentle. 223-226 [doi]
• Simulating with GPSS/PCRicardo F. Garzia. 227-234 [doi]
• The use of graphical models in model validationRobert G. Sargent. 237-241 [doi]
• Use of seminar gaming to specify and validate simulation modelsEdward A. Davis. 242-247 [doi]
• MIT model analysis program: what we have learned about policy model reviewDavid O. Wood. 248-252 [doi]
• Distribution selection in statistical simulation studiesMark E. Johnson. 253-259 [doi]
• Sample-based non-uniform random variate generationLuc Devroye. 260-265 [doi]
• Correlation induction without the inverse transformationBruce W. Schmeiser, Voratas Kachitvichyanukul. 266-274 [doi]
• Efficient and portable 32-bit random variate generatorsPierre L'Ecuyer. 275-277 [doi]
• Large and small sample comparisons of various variance estimatorsDavid Goldsman, Keebom Kang, Robert G. Sargent. 278-284 [doi]
• Sensitivity analysis via likelihood ratiosMartin I. Reiman, Alan Weiss. 285-289 [doi]
• Statistical analysis of parallel simulationsPhilip Heidelberger. 290-295 [doi]
• Efficient identification of important factors in large scale simulationsCarl A. Mauro. 296-305 [doi]
• On the correspondence between Walsh spectral anlaysis and 2k factorial experimental designsPaul J. Sánchez. 306-312 [doi]
• A Bonferroni selection procedure when using commom random numbers with unknown variancesGordon M. Clark, Wei-Ning Yang. 313-315 [doi]
• Infinite-source, ample-server control variate models for fininte-source, finite-server repairable item systemsMohamed A. Ahmed, Douglas R. Miller. 316-325 [doi]
• Using control variates to estimate multiresponse simulation metamodelsAcácio M. O. Porta Nova, James R. Wilson. 326-334 [doi]
• Using control variates to estimate distribution functions (extended abstract)George S. Fishman. 335-336 [doi]
• Behavior of sample means and nonparametric time-series estimationEmanuel Parzen. 337-342 [doi]
• Behavior of sample means and parametric time series estimationH. Joseph Newton. 343-350 [doi]
• Behavior of sample means of nearly nonstationary time seriesRuey S. Tsay. 351-355 [doi]
• Stochastic approximation for Monte Carlo optimizationPeter W. Glynn. 356-365 [doi]
• Simulation optimization using frequency domain methodsLee Schruben. 366-369 [doi]
• Tutorial on indifference-zone normal means ranking and selection proceduresDavid Goldsman. 370-375 [doi]
• Problems in Bayesian analysis of stochastic simulationPeter W. Glynn. 376-379 [doi]
• Validation of microeconomic simulation (extended abstract): a comparison of sampling theory and Bayesian methodsRichard W. Andrews, William C. Birdsall, Frederick J. Gentner, W. Allen Spivey. 380-383 [doi]
• CSIM: a C-based process-oriented simulation languageHerb Schwetman. 387-396 [doi]
• SIMCAL: the merger of Simula and PascalBrian A. Malloy, Mary Lou Soffa. 397-403 [doi]
• Language assessment criteria for discrete simulationJames W. Hooper. 404-408 [doi]
• Implementations of time (panel)Douglas W. Jones, James O. Henriksen, Robert M. O'Keefe, Claude Dennis Pegden, Robert G. Sargent, Brian W. Unger. 409-416 [doi]
• Concurrent simulation: an alternative to distributed simulationDouglas W. Jones. 417-423 [doi]
• "AXE": a simulation environment for actor-like computations on ensemble architecturesJerry C. Yan, Stephen F. Lundstrom. 424-429 [doi]
• Replicated state space approach for parallel simulationJohn B. Gilmer Jr., Jung-pyo Hong. 430-434 [doi]
• Entropy data analysisBush Jones. 435-436 [doi]
• Temporal reasoningDavid P. Miller. 437-439 [doi]
• Applications of the Dempster-Shafer theory of evidence for simulationKathryn B. Laskey, Marvin S. Cohen. 440-444 [doi]
• Commonsense reasoning based on fuzzy logicLotfi A. Zadeh. 445-447 [doi]
• Artificial intelligence and simulation: an introductionR. Greer Lavery. 448-452 [doi]
• Explanation systems for computer simulationsDavid H. Helman, Akash Bahuguna. 453-459 [doi]
• On the power of qualitative simualation for estimating diffusion transit timesS. L. Hardt. 460-463 [doi]
• Object-oriented simulation: where do we go from here?Jeff Rothenberg. 464-469 [doi]
• Simulation with rules and objectsMichael E. McFall, Philip Klahr. 470-473 [doi]
• Simulation modeling in an object-oriented environment using Smalltalk-80Onur M. Ülgen, Timothy Thomasma. 474-484 [doi]
• Software engineerng applied to discrete event simulationsKenneth N. McKay, John A. Buzacott, John B. Moore, Christopher J. Strang. 485-493 [doi]
• Examples of using the RESearch Queueing Package Modeling Environment (RESQME)Robert F. Gordon, Edward A. MacNair, Peter D. Welch, Kurtiss J. Gordon, James F. Kurose. 494-503 [doi]
• SAM - a computer aided design tool for specifying and analyzing modular, heirarchical systemsArturo I. Concepcion, Stephen Schon. 504-510 [doi]
• Issues in simulation model integration, reusability, and adaptability (panel session)John F. Heafner, Ron Huhn, Dennis R. Mensh, Richard Nance, Herbert Sallin. 511 [doi]
• Joining existing simulation programsRobert G. Sargent. 512-516 [doi]
• Discrete visual simulation with Pascal_SIMRobert M. O'Keefe, Ruth M. Davies. 517-525 [doi]
• Presenting GPSS/H results with the Graphical Kernel System (GKS)Raphael Parambi, Aseem S. Chandawarkar. 526-530 [doi]
• System iconic modeling facilityKenneth L. Stanwood, Lani N. Waller, Greg C. Marr. 531-536 [doi]
• Pitfalls in the simulation of manufacturing systemsAverill M. Law, Michael G. McComas. 539-542 [doi]
• Manufacturing simulation in practice (extended abstract): suggestions for establishing credibilityS. A. Weiner, J. W. Grant, P. E. Coffman Jr.. 543-544 [doi]
• An approach to using a data base management system in manufacturing system simulationHui Jun Han, Kenneth A. Fegley. 545-553 [doi]
• Simulation and advanced manufacturing system designVan B. Norman, T. A. Norman. 554-558 [doi]
• The manufacturing modeling process: from conception to shop floor applicationPeter M. Waller. 559-561 [doi]
• An industrial perspective on building a simulation group (panel session)Kenneth J. Musselman, Ron Bakshi, Merriel C. Dewsnup, Chris V. Kuhner, Cindy Morey, Peter M. Waller. 562-567 [doi]
• Modeling AGV systemsDeborah A. Davis. 568-574 [doi]
• Simplified approaches to modeling accumulating and nonaccumulating conveyor systemsJames O. Henriksen, Thomas J. Schriber. 575-593 [doi]
• Simulation modeling approach for analyzing robotic assembly cellsCharles R. Cash, Wilbert E. Wilhelm. 594-596 [doi]
• Modeling tote stacker operation as a WIP storage devicePhilip Cobbin. 597-605 [doi]
• Performance analysis of miniload systemsDeborah J. Medeiros, E. Emory Enscore Jr., Alan Smith. 606-612 [doi]
• Interactive simulation modeling of automated storage retrieval systemsSethuraman Raghunath, Ronald Perry, Thomas Cullinane. 613-620 [doi]
• Simulation of a flexible manufacturing cellRichard Godziela. 621-627 [doi]
• Simulation analysis of a FMS during implementationDavid L. Martin. 628-632 [doi]
• Animated simulation of a flexible manufacturing systemShay-Ping T. Wang. 633-640 [doi]
• Experiences with analytic and simulation modeling for a factory of the future project at IBMS. Wali Haider, David G. Noller, Thomas B. Robey. 641-648 [doi]
• Issues in the design and modeling of automatic assembly systemsJerry L. Sanders. 649-656 [doi]
• Using group technology, simulation and analytic modeling in the design of a cellular manufacturing facilityMichael C. Mills. 657-660 [doi]
• A discrete event scheduler in a dynamic production systemRichard Q. Blackwell. 661-664 [doi]
• Interactive factory scheduling using discrete event simulationT. A. Norman, Van B. Norman. 665-667 [doi]
• Scheduling of a manufacturing cell with simulationTrevor I. Miles, Cynthia J. Erickson, Amar Batra. 668-676 [doi]
• Automatic model generationRicki G. Ingalls. 677-685 [doi]
• Simulation and analysis of a circuit board manufacturing facilitySteven F. Shevell, John A. Buzacott, Michael J. Magazine. 686-693 [doi]
• Simulating schedule reovery strategies in manufacturing assembly operationsPatrick J. Starr, Douglas S. Skrien, Robert M. Meyer. 694-699 [doi]
• Model evolution: a rotary index table case historyA. Alan B. Pritsker. 703-707 [doi]
• Multifaceted, multiparadigm modeling perspectives: tools for the 90'sBernard P. Zeigler, Tuncer I. Ören. 708-712 [doi]
• You can't beat the clock: studies in problem solvingJames O. Henriksen. 713-726 [doi]
• Software characterization independent of hardwareLawrence L. Rose. 727-731 [doi]
• Distributed database query simulatorRaju Kochareker. 732-742 [doi]
• A new approach to distributed functional fault modelingSumit Ghosh. 743-751 [doi]
• Transient anlaysis of a store-and-forward computer-communications networkAlbert B. Garcia, Wade H. Shaw Jr.. 752-759 [doi]
• Translation of modified predicate transition nets models of cummunication protocols into simulation programsChuang Lin, Dan C. Marinescu. 760-768 [doi]
• PACKSIM: a personal computer implementation of a packet switched network simulation modelHorst E. Ulfers. 769-775 [doi]
• Program planning and development of a national university teleconference network using simulationRasaratnam Logendran, M. Palmer Terrell. 776-785 [doi]
• Routing as a flow control strategy in an integrated circuit/packet switched communications networkKenneth R. Hebert, Udo W. Pooch. 786-794 [doi]
• Traffic signal timing at isolated intersections using simulation optimizationAnthony A. Saka, G. Anandalingam, Nicholas J. Garber. 795-801 [doi]
• The use of statistical experimental design techniques for the systematic improvement of an automated, heuristic targeting algorithmBarbara H. Roberts, David W. Morrisey. 802-807 [doi]
• Modeling the initialization process of a space-launched kinetic energy weaponWilliam A. Laidig, Harold L. Pastrick. 808-818 [doi]
• The script processing technique in modeling/simulation and its role in the generation of animated computer graphicsRobert E. Sheridan. 819-826 [doi]
• Evolutionary development of a simulation model used for policy planning and developmentWilliam T. Begenyi, Nancy Marland, Norman Hampton. 827-835 [doi]
• Simulation analysis of financial risks for three vegetable crops in HawaiiPingSun Leung, Sununtar Setboonsarng, John Halloran. 836-841 [doi]
• A systems analysis and model of driver licensing in the state of FloridaThomas D. Clark Jr.. 842-849 [doi]
• Quality assurance in cognizant simulative designTuncer I. Ören. 850-852 [doi]
• Digital systems design automation: a simulation-based frameworkStephan Zorn. 853-857 [doi]
• Knowledge-based design of LANs using system entity structure conceptsJerzy W. Rozenblit, Süleyman Sevinc, Bernard P. Zeigler. 858-865 [doi]
• An interactive run length control for simulation on PCsRalph R. Duersch, Lee W. Schruben. 866-870 [doi]
• Automated estimation and variance reduction for steady-state simulationsRowena Añonuevo, Barry L. Nelson. 871-875 [doi]
• A system for Monte Carlo experimentationDavid Alan Grier. 876-888 [doi]