Table of Contents

• An introduction to computer simulationMichael Pidd. 7-14 [doi]
• Introduction to manufacturing applicationsGordon M. Clark. 15-21 [doi]
• Software for simulationJerry Banks. 26-33 [doi]
• Inside simulation software: how it works and why it mattersThomas J. Schriber, Daniel T. Brunner. 45-54 [doi]
• Input modelingLawrence Leemis. 55-61 [doi]
• Analysis of output dataW. David Kelton. 62-68 [doi]
• Designing simulation experiments for evaluating manufacturing systemsJames J. Swain, Phillip A. Farrington. 69-76 [doi]
• Verification and validation of simulation modelsRobert G. Sargent. 77-87 [doi]
• Guidelines for simulation project successKenneth J. Musselman. 88-95 [doi]
• Nonparametric techniques in simulation analysis: a tutorialEnver Yücesan. 99-105 [doi]
• A robust design tutorialSusan M. Sanchez. 106-113 [doi]
• Modeling business processes with simulation toolsBruce D. Gladwin, Kerim Tumay. 114-121 [doi]
• Efficiency improvement and variance reductionPierre L Ecuyer. 122-132 [doi]
• Simulation of advanced manufacturing systemsGerald W. Evans, William E. Biles, Michael W. Golway. 141-148 [doi]
• A tutorial review of techniques for simulation optimizationMichael C. Fu. 149-156 [doi]
• Design of object-oriented simulations in C++Jeffrey A. Joines, Stephen D. Roberts. 157-165 [doi]
• Simulation of communications networksAverill M. Law, Michael G. McComas. 166-170 [doi]
• Simulation model designPaul A. Fishwick. 173-175 [doi]
• Recent advances in uniform random number generationPierre L Ecuyer. 176-183 [doi]
• Selecting input modelsRussell C. H. Cheng. 184-191 [doi]
• Experimental designs for simulationJoan M. Donohue. 200-206 [doi]
• Developments in stochastic optimization algorithms with gradient approximations based on function measurementsJames C. Spall. 207-214 [doi]
• Validation, verification, and testing techniques throughout the life cycle of a simulation studyOsman Balci. 215-220 [doi]
• Fast simulation methods for highly dependable systemsMarvin K. Nakayama. 221-228 [doi]
• Concurrent execution of timed Petri netsAlois Ferscha. 229-236 [doi]
• Metamodeling: a state of the art reviewRussell R. Barton. 237-244 [doi]
• Sample-path optimization in simulationGül Gürkan, Ayonca Özge, Stephen M. Robinson. 247-254 [doi]
• Retrospective approximation algorithms for stochastic root findingHuifen Chen, Bruce W. Schmeiser. 255-261 [doi]
• Average performance of Monte Carlo and Quasi-Monte Carlo methods for global optimizationJames M. Calvin. 262-265 [doi]
• Fast simulation of the leaky bucket algorithmVictor F. Nicola, Gertjan A. Hagesteijn, Byung G. Kim. 266-273 [doi]
• Restart: a straightforward method for fast simulation of rare eventsManuel Villén-Altamirano, José Villén-Altamirano. 282-289 [doi]
• Experimental designs for system assessment and improvement when noise factors are correlatedSusan M. Sanchez. 290-296 [doi]
• An enhanced RSM algorithm using gradient-deflection and second-order search strategiesShirish S. Joshi, Hanif D. Sherali, Jeffrey D. Tew. 297-304 [doi]
• Comparison of analysis strategies for screening designs in large-scale computer simulation modelsTimothy S. Webb, Kenneth W. Bauer Jr.. 305-311 [doi]
• Vector-autoregressive inference for equally spaced, time-averaged, multiple queue length processesJohn M. Charnes, Evelyn I. Chen. 312-315 [doi]
• Consistency of overlapping batch variancesDemet C. Wood, Bruce W. Schmeiser. 316-319 [doi]
• Increasing the frequency of regeneration for Markov processesSigrún Andradóttir, James M. Calvin, Peter W. Glynn. 320-323 [doi]
• Using bivariate Bézier distributions to model simulation input processesMary Ann Flanigan Wagner, James R. Wilson. 324-331 [doi]
• Composition for multivariate random variablesRaymond R. Hill, Charles H. Reilly. 332-339 [doi]
• On the batch means and area variance estimatorsHalim Damerdji. 340-344 [doi]
• Detecting truncation point in steady-state simulation using chaos theoryYoung Hae Lee, Hyung-Sool Oh. 353-360 [doi]
• Approximate solutions for M/G/1 fork/join synchronizationAlexander Thomasian, Asser N. Tantawi. 361-368 [doi]
• Characterizing a nonstationary M/G/1 queue using bode plotsMousumi Mitra Hazra, Stephen K. Park. 377-382 [doi]
• A historical view of hybrid simulation/analytic modelsRobert G. Sargent. 383-386 [doi]
• Identifying policies that are most likely to produce a desirable outcomeKevin J. Healy. 387-391 [doi]
• Simulation-based dynamic optimization: planning United States coast guard law enforcement patrolsMichael P. Bailey, Kevin D. Glazebrook, Robert F. Dell. 392-398 [doi]
• Output analysis research: why bother? (panel discussion)John M. Charnes, John S. Carson II, Merriel C. Dewsnup, Andrew F. Seila, Jeffrey D. Tew, Randall P. Sadowski. 399-405 [doi]
• UniFit II: total support for simulation input modelingStephen G. Vincent, Averill M. Law. 409-414 [doi]
• Introduction to SLAM II and SLAMSYSTEMJean J. O Reilly. 415-419 [doi]
• Manufacturing decision making with FACTORWilliam R. Lilegdon. 420-426 [doi]
• Introduction to SIMAN/CinemaDavid M. Profozich, David T. Sturrock. 427-430 [doi]
• Introduction to ArenaMichael J. Drevna, Cynthia J. Kasales. 431-436 [doi]
• SIMOBJECT: from rapid prototype to finished model - a breakthrough in graphical model buildingJohn G. Goble. 437-442 [doi]
• COMNET III: object-oriented network performance predictionJohn G. Goble, Robb Mills. 443-445 [doi]
• Taylor II manufacturing simulation softwareWilliam B. Nordgren. 446-449 [doi]
• Quest - queueing event simulation toolJoseph Hugan. 458-463 [doi]
• CSIM17: a simulation model-building toolkitHerbert D. Schwetman. 464-470 [doi]
• Simulation-based capacity planning and scheduling with AutoSchedJohn Everton. 479-486 [doi]
• AutoModMatthew W. Rohrer. 487-492 [doi]
• AutoStatMatthew W. Rohrer. 493-495 [doi]
• Perspectives on simulation using GPSSThomas J. Schriber. 496-501 [doi]
• Industrial strength simulation using GPSS/HRobert C. Crain, Douglas S. Smith. 502-508 [doi]
• Proof animation: reaching new heights in animationNancy J. Earle, James O. Henriksen. 509-516 [doi]
• A tutorial for modeling with the witness visual interactive simulatorW. Bruce Thompson. 517-521 [doi]
• Simulation modeling using ProModel for windowsScott P. Baird, Jeffrey J. Leavy. 527-532 [doi]
• An introduction to ExtendDavid Krahl. 538-545 [doi]
• Control flow graphs as a representation languageBruce A. Cota, Douglas G. Fritz, Robert G. Sargent. 555-559 [doi]
• Transforming Petri nets into event graph modelsLee Schruben, Enver Yücesan. 560-565 [doi]
• Model diagnosis using the condition specification: from conceptualization to implementationC. Michael Overstreet, Ernest H. Page, Richard E. Nance. 566-573 [doi]
• Interval time clock implementation for qualitative event graphsRicki G. Ingalls, Douglas J. Morrice, Andrew B. Whinston. 574-580 [doi]
• An ordinal optimization approach to a token partition problem for stochastic timed event graphsXiaolan Xie. 581-588 [doi]
• Hierarchical abilities of diagrammatic representations of discrete event simulation modelsVlatko Ceric. 589-594 [doi]
• H-ACD: hierarchical activity cycle diagrams for object-oriented simulation modellingGermano Kienbaum, Ray J. Paul. 600-610 [doi]
• Systems modeling with xpetriRobert Geist, Darren Crane, Stephen Daniel, Darrell Suggs. 611-618 [doi]
• A database design for uniform representation of hypermedia and mathematical modelsHoward W. Beck, Paul A. Fishwick, Glen Smerage. 619-624 [doi]
• Discrete element models and real life dualsRoss A. Gagliano, Michael R. Lauer. 625-632 [doi]
• The effective use of animation in simulation model validationChristopher L. Swider, Kenneth W. Bauer Jr., Thomas F. Schuppe. 633-640 [doi]
• The CASM environment revisitedRay J. Paul, Vlatka Hlupic. 641-648 [doi]
• A relational algebraic framework for models managementHyu Chan Park, Wan Bok Lee, Tag Gon Kim. 649-656 [doi]
• Concepts for modular simulation environmentsCharles R. Standridge, Martha A. Centeno. 657-663 [doi]
• A standard simulation environment: a review of preliminary requirementsMary Ann Flanigan Wagner, Süleyman Sevinc, Oryal Tanir, Peter L. Haigh, James D. Arthur, Richard E. Nance, Herbert D. Schwetman. 664-672 [doi]
• An architecture of a knowledge-based simulation engineMadhav Erraguntla, Perakath C. Benjamin, Richard J. Mayer. 673-680 [doi]
• A conceptual framework for simulation experiment design and analysisYu-Hui Tao, Barry L. Nelson. 681-688 [doi]
• Unknown unknowns: modeling unanticipated eventsLobna A. Okashah, Paul M. Goldwater. 689-694 [doi]
• Achieving reliability in simulation softwareRonald C. Van Wagenen, Charles R. Harrell. 695-699 [doi]
• An introduction to fault tolerant parallel simulation with EcliPSeFelipe Knop, Edward Mascarenhas, Vernon Rego, Vaidy S. Sunderam. 700-707 [doi]
• Deadlock detection and resolution in simulation modelsMurali Krishnamurthi, Amar Basavatia, Sanjeev Thallikar. 708-715 [doi]
• Parallel DEVS: a parallel, hierarchical, modular, modeling formalismAlex Chung Hen Chow, Bernard P. Zeigler. 716-722 [doi]
• Distributed stochastic discrete-event simulation in parallel time streamsKrzysztof Pawlikowski, Victor W. C. Yau, Donald C. McNickle. 723-730 [doi]
• Scheduling time warp processes using adaptive control techniquesAvinash C. Palaniswamy, Philip A. Wilsey. 731-738 [doi]
• Military modeling and simulation: reflections and directions (panel)Albert E. Rainis, Eugene P. Visco, R. Garrison Harvey, James G. Snake Clark. 741-743 [doi]
• MasPaWS - a massively parallel war simulatorN. Chandrasekharan, Udaya Bhaskar Vemulapati, Allen T. Irwin, Zhi-Hai Ma, William J. Porthouse Jr.. 744-751 [doi]
• Status report on the integrated Eagle/BDS-D projectClark R. Karr, Robert W. Franceschini. 762-769 [doi]
• Developing a large-scale distributed interactive simulation systemThomas W. Mastaglio. 770-774 [doi]
• Aggregate level simulation protocol (ALSP) managing confederation developmentMary C. Fischer. 775-780 [doi]
• The aggregate level simulation protocol: an evolving systemAnnette L. Wilson, Richard M. Weatherly. 781-787 [doi]
• The Corps Battle Simulation: remodeling the model for new missionsHugh Henry. 788-791 [doi]
• Computer simulation of U.S. Army officer professional developmentMichael L. McGinnis, James L. Kays, Pamela Slaten. 813-820 [doi]
• Providing insight into the successful process of military base transition with a PERT simulation modelVincent G. Duffy, F. T. Sparrow. 821-828 [doi]
• Marine air ground task force (MAGTF) tactical warfare simulation (MTWS)Curtis L. Blais. 839-844 [doi]
• After action review in military training simulationsRoger Smith, Gary Allen. 845-849 [doi]
• Finite element pre-operative simulation of cementless hip replacementChristopher D. Visnic, Robert H. Reid, Omar Ghattas, Anthony M. DiGioia, Branislav Jaramaz. 856-860 [doi]
• Barriers to implementing simulation in health careJulie C. Lowery, Brian Hakes, Lou Keller, William R. Lilegdon, Khaled M. Mabrouk, Frank McGuire. 868-875 [doi]
• Manufacturing simulation consultants forumF. Bradley Armstrong, Daniel T. Brunner, Mark A. Contesti, Jason Duff, Barbara W. Mazziotti. 879-884 [doi]
• The role of simulation in semiconductor logisticsDavid J. Miller. 885-891 [doi]
• Simulation in automated material handling systems design for semiconductor manufacturingGajanana Nadoli, Devadas Pillai. 892-899 [doi]
• Modeling and simulation of material handling for semiconductor wafer fabricationNeal G. Pierce, Richard Stafford. 900-906 [doi]
• The simulation of cluster tools: a new semiconductor manufacturing technologyTodd LeBaron, Mark Pool. 907-912 [doi]
• Simulation for agile control of aerospace manufacturingRay Rolen, Richard A. Kilgore. 928-934 [doi]
• Implementation of spatial representation and autonomy in material handling systemsLobna A. Okashah, Ralph V. Rogers. 941-945 [doi]
• Establishing an object-oriented methodology for the simulation and control of integrated manufacturing systemsJoseph G. Macro, Wayne J. Davis, Duane L. Setterdahl. 954-961 [doi]
• Discrete event simulation for shop floor controlJeffrey S. Smith, Richard A. Wysk, David T. Sturrock, Sanjay E. Ramaswamy, Glen D. Smith, Sanjay B. Joshi. 962-969 [doi]
• An agent-based flexible routing manufacturing control simulation systemGrace Y. Lin, James J. Solberg. 970-977 [doi]
• Developing and analyzing flexible cell systems using simulationEdward F. Watson, Randall P. Sadowski. 978-985 [doi]
• Modeling of a tool shared flexible manufacturing systemArun S. Kashyap, Suresh K. Khator. 986-993 [doi]
• Simulators as a tool for rapid manufacturing simulationPhillip A. Farrington, Bernard J. Schroer, James J. Swain, Yuncheng Feng. 994-1000 [doi]
• Order release planning in a job shop using a bi-directional simulation algorithmChen-Tsau Chris Ying, Gordon M. Clark. 1008-1012 [doi]
• Floor inventory tracking of a Kanban production systemKambiz Farahmand, Brian L. Heemsbergen. 1027-1034 [doi]
• Assessment of alternative inventory methodologies for high-volume production systemsMichael J. Drevna. 1035-1039 [doi]
• Downtime data - its collection, analysis, and importanceEdward J. Williams. 1040-1043 [doi]
• Modelling strain of manual work in manufacturing systemsIna Ehrhardt, Henry Herper, Hansjürgen Gebhardt. 1044-1049 [doi]
• Using simulation to benchmark traditional vs. activity-based costing in product mix decisionsL. Leslie Gardner, Mary E. Grant, Laurie J. Rolston. 1050-1057 [doi]
• Opportunities for simulation in amusement parksJerry Banks, Felipe Quintanilla. 1074-1078 [doi]
• The design, implementation, application and comparison of two highly automated traffic simulatorsPeter Lorenz, Thomas Schulze, Thomas J. Schriber. 1084-1092 [doi]
• Distributed parallel object-oriented environment for traffic simulation (POETS)Susan L. Mabry, Jean-Luc Gaudiot. 1093-1100 [doi]
• Cargo transfer and return vehicle and personnel launch system launch processing modelMark D. Heileman, José A. Sepúlveda. 1101-1108 [doi]
• Insight through innovation: a dynamic approach to demand based toll plaza lane staffingJohn Danko, Victor Gulewicz. 1116-1123 [doi]
• A resource based simulation approach with application in earthmoving/strip miningJingsheng Shi, Simaan M. AbouRizk. 1124-1129 [doi]
• Simulation of cable-stayed bridges using discoRong-yau Huang, Alexandros M. Grigoriadis, Daniel W. Halpin. 1130-1136 [doi]
• Knowledge-based assembly of simulation networks using construction designs, plans, and methodsIris D. Tommelein, Robert I. Carr, Abdalla M. Odeh. 1145-1152 [doi]
• AP:::3::: - advanced project planning paradigm for constructionAnil Sawhney, Simaan M. AbouRizk. 1153-1158 [doi]
• Model sensitivity analysis in environmental emergency management: a case study in oil spill modelingWilliam Lehr, Donna Calhoun, Robert Jones, Andrzej Lewandowski, Roy Overstreet. 1198-1205 [doi]
• Analyzing and re-engineering business processes using simulationR. Bhaskar, Ho Soo Lee, Anthony Levas, Raja Pétrakian, Flora Tsai, Bill Tulskie. 1206-1213 [doi]
• Simulation satyagraha, a successful strategy for business process reengineeringDavid Bridgeland, Steven Becker. 1214-1220 [doi]
• Integrating BPR with image-based work flowRobert M. Shapiro. 1221-1228 [doi]
• Integrating simulation and optimization: an application in fish processing industrySabah U. Randhawa. 1241-1247 [doi]
• A simulation approach to capacity expansion for the pistachio hulling processYasser Dessouky, Gregg Maggioli, Dave Szeflin. 1248-1255 [doi]
• The use of simulation in evaluating international competitiveness in broiler productionConrado M. Gempesaw II, Fe Zinnia Albay, J. Richard Bacon, Jeff Corman, Shankar Narayanan. 1256-1263 [doi]
• Simulation of heterogeneous networksMarkus Rümekasten. 1264-1271 [doi]
• Modeling description in the INSYDE simulator for evaluating large-scale computer system performanceToshio Komatsu, Hirofumi Wakayama, Junro Nose. 1272-1279 [doi]
• Performance modeling study of a client/server system architectureJi Shen, Shahla Butler. 1280-1287 [doi]
• Focused analysis and training environmentsF. Bradley Armstrong, Barbara W. Mazziotti, Kenneth A. Powell Jr.. 1288-1295 [doi]
• Creating a focused application simulator with flexible decision making capabilitiesBarbara W. Mazziotti, F. Bradley Armstrong. 1296-1303 [doi]
• Issues and requirements for building a generic animationD. Michelle Benjamin, Barbara W. Mazziotti, F. Bradley Armstrong. 1304-1310 [doi]
• Simulation statistical software: an introspective appraisalPaul J. Sanchez, Frank Chance, Kevin J. Healy, James O. Henriksen, W. David Kelton, Stephen G. Vincent. 1311-1315 [doi]
• Language support for parallel discrete-event simulationsRajive Bagrodia. 1324-1331 [doi]
• GTW: a time warp system for shared memory multiprocessorsSamir Ranjan Das, Richard Fujimoto, Kiran S. Panesar, Don Allison, Maria Hybinette. 1332-1339 [doi]
• Service oriented scheduling in Time WarpRobert Rönngren, Rassul Ayani. 1340-1346 [doi]
• Timing simulation of paragon codes using workstation clustersPhillip M. Dickens, Philip Heidelberger, David M. Nicol. 1347-1353 [doi]
• Parallel logic level simulation of VLSI circuitsRajive Bagrodia, Zheng Li, Vikas Jha, Yuan Chen, Jason Cong. 1354-1361 [doi]
• Using a shot clock to design an efficient parallel distributed simulationJohn T. Douglass, Brian A. Malloy. 1362-1369 [doi]
• Massively parallel SIMD simulation of discrete time stochastic Petri netsSubhas C. Roy. 1370-1377 [doi]
• Teaching simulation: a panel discussionSheldon H. Jacobson, Douglas J. Morrice, David H. Withers, Enver Yücesan, W. David Kelton. 1378-1381 [doi]
• USMED: broadening the impact of simulation analysis methodology (panel)Russell R. Barton, Lee Schruben, James C. Ford, David Hopkins, David Goldsman, Kevin J. Healy. 1382-1386 [doi]
• Simulation and undergraduate engineering education: the technology reinvestment project(TRP)Phillip A. Farrington, Sherri L. Messimer, Bernard J. Schroer. 1387-1393 [doi]
• Designing and managing a masters degree course in simulation modellingRay J. Paul, Vlatka Hlupic. 1394-1398 [doi]
• Embedding an intelligent tutoring system in a business gaming-simulation environmentJulika Siemer, Marios C. Angelides. 1399-1406 [doi]
• Automatic instance generation using simulation for inductive learningSima Parisay, Behrokh Khoshnevis. 1409-1412 [doi]
• Generating correlated random variates based on an analogy between correlation and forceEdward F. Mykytka, Chun-Yuan Cheng. 1413-1416 [doi]
• Determination of a dependent variable in the measurement of discrete event computer simulation successRoger McHaney. 1417-1419 [doi]
• A new output analysis approach for systems experiencing disruptionsMary C. Court, Jorge Haddock. 1420-1423 [doi]
• Fitting a mixture-based response surface using computer simulationLotfi K. Gaafar, Tariq A. Aldowaisan. 1424-1427 [doi]
• Towards on the fly performance models for conservative asynchronous protocolsMary L. Bailey, Shane Walker. 1431-1434 [doi]
• A simulation system for evaluating customer service operations in telephone companiesHideo Imanaka, Hiroyuki Satou, Noriyuki Ikeuchi. 1435-1438 [doi]
• Productivity enhancement through simulation and queuing network analysisAnindya Biswas, Navdeep S. Grewal, Bill Jamaldin, Suraj M. Alexander. 1447-1450 [doi]
• Network operations processes planningKang Peng, Po-Wen Cheng, On-Ching Yue. 1451-1454 [doi]
• Simulation optimization via simultaneous perturbation stochastic approximationStacy D. Hill, Michael C. Fu. 1461-1464 [doi]