Table of Contents

• Keynote Address-Artificial Intelligence and simulationRobert E. Shannon. 3-9 [doi]
• Introduction to gpssThomas J. Schriber. 12-15 [doi]
• SLAM II tutorialJean J. O'Reilly, A. Alan B. Pritsker, William R. Lilegdon. 16-19 [doi]
• An interactive computer package for fitting probability distributions to observed dataAverill M. Law, Steohen G. Vincent. 20-21 [doi]
• Simulation with INSIGHTStephen D. Roberts. 22-32 [doi]
• Introduction to SIMANClaude Dennis Pegden. 34-41 [doi]
• SIMSCRIPT II.5@@@@ tutorialEdward C. Russell. 42-48 [doi]
• A tutorial on TESS: The extended simulation systemCharles R. Standridge, Steven A. Walker, David K. Vaughan. 50-56 [doi]
• MAP/1 tutorialRobin J. Miner, Laurie J. Rolston. 58-62 [doi]
• Introduction to simulationJ. W. Schmidt. 64-73 [doi]
• Model development revisitedRichard E. Nanoe. 74-80 [doi]
• Discrete event simulation languages current status and future directionsJames O. Henriksen. 82-88 [doi]
• Input data collection and analysisW. David Kelton. 90-95 [doi]
• Practical statistical analyses of simulation output dataAverill M. Law. 96-97 [doi]
• Design of simulation experimentsWilliam E. Biles. 98-104 [doi]
• On selecting the best of K systems: An expository survey of indifference-zone multinomial proceduresDavid Goldsman. 106-112 [doi]
• A tutorial on verification and validation of simulation modelsRobert G. Sargent. 114-121 [doi]
• Variance reduction in simulationJames R. Wilson. 122-128 [doi]
• Continuous System Simulation Languages (CSSL's)Ralph C. Huntsinger. 130-131 [doi]
• Micros vs. mainframes (Panel)Val Silbey. 135 [doi]
• Analytic representation of simulation (Panel)Bruce W. Schmeiser. 137 [doi]
• Validation (Panel)Stewart V. Hoover. 139 [doi]
• What type of model: Analytic, simulation or hybrid simulation/analyticRobert G. Sargent. 141 [doi]
• Education (A panel session): Methodology vs. languagesJakov Crnkovic. 143-144 [doi]
• Modeling of computer systems (Panel Session)Paul F. Roth. 145 [doi]
• Physical vs computer simulation (Panel Session)Paul Cohen. 147 [doi]
• Graphics (Panel Session): Its role and limitationsJohn Craig Comfort. 149 [doi]
• Real-time simulation development issues (Panel Discussion)Arthur F. Krummenochl, Grayden Figart, Cita Furlani, Thad J. Janowiak, Carolyn D. Tobin. 151 [doi]
• Analytic representations of simulationBruce W. Schmeiser. 154-159 [doi]
• A random variate generation method useful in hybrid simulation/analytical modellingJ. George Shanthikumar. 160-167 [doi]
• Sample space definitionBarry L. Nelson, Bruce W. Schmeiser. 168-169 [doi]
• Perturbation analysis methods for discrete event dynamical systems and simulationsYu-Chi Ho. 170-173 [doi]
• Approximating time-dependent non-exponential queuesMichael R. Taaffe, Kim L. Ong. 174-178 [doi]
• Continuous simulation approximations to queueing networksGordon M. Clark. 180-184 [doi]
• Some efficient random number generators for micro-computersArne Thesen, Zhanshan Sun, Tzyh-Jong Wang. 186-196 [doi]
• An exhaustive search for optimal multipliersGeorge S. Fishman, Louis R. Moore. 198-200 [doi]
• Use of lattice structures for reduction of simulation run timeNorman S. Matloff. 202-205 [doi]
• A simulation optimization approach to optimum storage and retrieval policies in an automated warehousing systemFarhad Azadivar. 206-214 [doi]
• Application of an optimization procedure to steady-state simulationArdavan Nozari, John S. Morris. 216-219 [doi]
• Simulation optimization for decision support in operating a robotic manufacturing systemC.-C. Chu, Joseph J. Talavage. 220-224 [doi]
• Overlapping batch means: something for nothing?Marc S. Meketon, Bruce W. Schmeiser. 226-230 [doi]
• Using operational analysis assumption errorsNeal M. Bengtson. 232-237 [doi]
• An empirical comparison of fourier and walsh spectra for system identificationPaul J. Sánchez. 238-241 [doi]
• Steady-state confidence interval methodology: A forum on theory, practice, and prospectsW. David Kelton. 242-249 [doi]
• A computer package for ranking, selection, and multiple comparisons with the bestShanti S. Gupta, Jason C. Hsu. 250-257 [doi]
• A multinomial ranking and selection procedure: Simulation and applicationsDavid Goldsman. 258-264 [doi]
• Restricted subset selection for normal populations with unknown and unequal variancesDavid W. Sullivan, James R. Wilson. 266-274 [doi]
• Multivariate simulation output analysis: Past, present, and futureLinda Weiser Friedman. 276-281 [doi]
• Multivariate output analysis in simulation: The state of the artAndrew F. Seila. 282-283 [doi]
• Establishing functional relationships in multiple response simulation: The multivariate general linear metamodelLinda Weiser Friedman. 284-289 [doi]
• Validation of simulation models: The weak/missing linkStewart V. Hoover, Ronald Perry. 292-295 [doi]
• Changing management's view to simulationBruce H. Bogusiav, Gary Farrar. 296-298 [doi]
• Inclusion Of Cost Comparisons In Simulation Modeling For Improved Decision-MakingKim Patton-Stallman, Leland Blank. 300-302 [doi]
• Presenting simulation results with TESS graphicsCharles R. Standridge, John R. Hoffman, Steven A. Walker. 304-311 [doi]
• Graphical Description, Control Logic Development, Simulation Development, And Animated Display Of Material Handling SystemsWilliam L. Maxwell, Eugene E. Fellows. 312-314 [doi]
• Interactive Simulation Graphics With InsightC. H. Imhoff, C. J. Hostick, L. W. Cannon. 316-321 [doi]
• Practical benefits of animated graphics in simulationBrian W. Hollocks. 322-328 [doi]
• A simulation model for evaluating control algorithms of an automated storage/retrieval systemRichard J. Linn, Richard A. Wysk. 330-339 [doi]
• A simulation model and analysis: Integrating AGV's with non-automated material handlingCatherine M. Harmonosky, Randall P. Sadowskl. 340-347 [doi]
• An optimum-seeking approach to the design of automated storage/retrieval systemsRonald Perry, Stewart V. Hoover, David R. Freeman. 348-354 [doi]
• Manufacturing modeling using RESQWayne J. Oates. 356-359 [doi]
• Quality modelling of assembly systemsJohn A. Buzacott, Dinah W. Cheng. 360-371 [doi]
• A simulation for the justification and planning of a continuous slab casterBeverly J. Wolfe, Mark A. Christobek. 372-378 [doi]
• Digital and physical simulation of manufacturing systemsP. H. Cohen, Richard A. Wysk. 380-383 [doi]
• On the use of physical models to simulate assembly plant operationsS. B. O'Reilly, K. W. Casey. 384-388 [doi]
• A generic robot simulatorDelbert L. Kimbler. 390-394 [doi]
• Physical simulation of flexible Manufacturing SystemsCharles H. Falkner, Natraj Shanker. 396-404 [doi]
• Simulation and decision analysis in FMS justificationHenry C. Co, Jianhua Liu. 406-412 [doi]
• Hierarchical decomposition and simulation of manufacturing cellsCharles J. Antonelli, Richard A. Volz, Trevor N. Mudge. 414-423 [doi]
• Effective industrial finishing systems design utilizingSally J. Hill, Doris Klein. 430-434 [doi]
• Simulation vs. optimization in physical distribution planningJames H. Bookbinder. 436-443 [doi]
• The role of computer simulation in the development of a new elevator productBruce A. Powell. 444-450 [doi]
• User need satisfaction as a basis for evaluating cargo aircraft schedulingJames R. Coakley, Gerald R. Armstrong, Joseph C. Bryant, Stephen R. Gordon. 452-461 [doi]
• A language-directed distributed discrete simulation system (Extended Abstract)Dana L. Wyatt, Sallie V. Sheppard. 462-464 [doi]
• Asynchronous simulation of some discrete time modelsJay B. Ghosh. 466-469 [doi]
• Problem oriented protocol designDavid M. Nicol, Paul F. Reynolds Jr.. 470-474 [doi]
• Implications of the Ada R environment for simulation studiesPatricia Friel, Sallie V. Sheppard. 476-489 [doi]
• Simulation with CFloyd H. Grant, Douglas G. MacFarland. 490-496 [doi]
• Discrete event simulation in pascal with SIMTOOLSAndrew F. Seila. 498-499 [doi]
• Prolog as a simulation languageHeimo H. Adelsberger. 500-504 [doi]
• Framework of the decision support expert systemsPawel Radzikowski. 506-515 [doi]
• Generalized model building within an integrated decision support systemDavid P. Yancey, Robert A. Carringer. 516-523 [doi]
• A Simulation/optimization-based planning and decision support systemWilliam T. Scherer, Chelsea C. White III. 524-528 [doi]
• Simulation on microcomputers the development of a visual interactive modelling philosophyJ. B. Macintosh, R. W. Hawkins, C. J. Shepherd. 530-537 [doi]
• Simulation programming using spreadsheet softwareRichard M. Reese. 538-542 [doi]
• The user interface of GPSS/PCSpringer W. Cox. 544-551 [doi]
• Simulation of facility designs on a micro-computerGerald T. Mackulak, Neil Glenney. 552-560 [doi]
• New directions for the design of advanced simulation systemsMichael G. Ketcham, John W. Fowler, Don T. Phillips. 562-568 [doi]
• Automation of simulation model generation from system specificationsRichard J. Mayer, Robert E. Young. 570-574 [doi]
• Evaluation of the UNIX host for a model development environmentRichard E. Nance, Osman Balci, Robert L. Moose Jr.. 576-584 [doi]
• CACI NETWORKS II.5@@@@ a computer and communications network simulatorWilliam J. Garrison. 586-593 [doi]
• Modeling and analysis of Ethernet networksJohn K. Jackman, Deborah J. Medeiros. 594-600 [doi]
• Dynamics of large scale distributed networksClayton M. Lockhart, Mario R. Garzia, Douglas L. Mikula. 602-603 [doi]
• Topological optimization of an integrated circuit/packet-switched computer networkMark J. Kiemele, Udo W. Pooch. 604-618 [doi]
• A conceptual design for simulation in a real time control toolCarolyn D. Tobin, Neal N. NcCollom. 620-624 [doi]
• Emulation as a design tool in the development of real-time control systemsHoward M. Bloom, Cita M. Furlani, Anthony J. Barbera. 626-636 [doi]
• A GPSS simulation to determine congestion in an ethernet type local area networkHoward Blums, Frank Paccione. 638-642 [doi]
• An introspective environment for knowledge based simulationVenkataseshan Baskaran, Y. V. Reddy. 644-651 [doi]
• A multitasking implementation of system simulation: The emulation of an asynchronous parallel processor for system simulation using a single processorMurali Krishnamurthi, Robert E. Young. 652-662 [doi]
• A simulation model for aged and disabled servicesReuben R. McDaniel Jr., Robert S. Sullivan, James R. Wilson. 664-671 [doi]
• Modeling the urban development process and the related transportation impactsTenny N. Lam, Richard Corsi, Katherine Wages. 672-682 [doi]
• Simulation of physiological systemsGerald Miller. 684-685 [doi]
• Computer eye looks at human eyeBruce H. McCormick, Roland Priemer. 686-697 [doi]
• Simulation of the human mitral valveGerald Miller. 698-702 [doi]
• Simulation modeling in health care facilitiesKenneth R. Currie, Wafik H. Iskander, Michael Leonard, Cynthia D. Coberly. 712-717 [doi]
• Simulation models for army manpower requirementsCharles Dale. 718-720 [doi]
• A policy analysis for logistical support of multiple U.S. army contigency requirementsThomas D. Clark Jr., George C. Prueits, Robert L. Smith. 722-726 [doi]
• Modeling tactical communications with QSIMAllan F. Malmberg, Sue A. Hutchinson, Ronald D. Riggin, William N. Friend. 728-734 [doi]
• B-1B avionics/automatic test equipment: Maintenance queueing analysisLance M. Roark, James K. Feldman, James N. Bexfield. 736-743 [doi]
• Direct ascent, deep space intercept modelMark M. Mekaru, Richard C. Barclay. 744-751 [doi]
• Operational evaluation modeling of automatic speaker verification systemsDavid E. Crabbs, John R. Clymer. 752-761 [doi]
• Implementation of Operational Evaluation Modeling in PascalJohn A. Quandt. 762-772 [doi]