WSC 1999: Phoenix, Arizona, USA

• Jon Anton:
  The use of simulation in call center optimization (keynote address). 3-4
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• Jerry Banks:
  Introduction to simulation. 7-13
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• Lawrence Leemis:
  Simulation input modeling. 14-23
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• Susan M. Sanchez:
  ABC's of output analysis. 24-32
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• W. David Kelton:
  Designing simulation experiments. 33-38
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• Robert G. Sargent:
  Validation and verification of simulation models. 39-48
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• Charles R. Standridge:
  A tutorial on simulation in health care: applications issues. 49-55
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• Averill M. Law, Michael G. McComas:
  Simulation of manufacturing systems. 56-59
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• Deborah A. Sadowski, Mark R. Grabau:
  Tips for successful practice of simulation. 60-66
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• Williard C. Hewitt, Eric E. Miller:
  Applying simulation in a consulting environment - tips from airport planners. 67-71
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• Thomas J. Schriber, Daniel T. Brunner:
  Inside discrete-event simulation software: how it works and why it matters. 72-80
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• David Goldsman, Barry L. Nelson, Tracy Opicka, A. Alan B. Pritsker:
  A ranking and selection project: experiences from a university-industry collaboration. 83-92
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• Farhad Azadivar:
  Simulation optimization methodologies. 93-100
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• James C. Spall:
  Stochastic optimization and the simultaneous perturbation method. 101-109
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• Bruce W. Schmeiser:
  Advanced input modeling for simulation experimentation. 110-115
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• Charles H. Reilly:
  Input models for synthetic optimization problems. 116-121
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• Richard Fujimoto:
  Parallel and distributed simulation. 122-131
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• Jeffrey A. Joines, Stephen D. Roberts:
  Simulation in an object-oriented world. 132-140
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• Wayne J. Davis:
  Simulation: technologies in the new millennium. 141-147
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• James D. Arthur, Robert G. Sargent, James B. Dabney, Averill M. Law, John D. (Jack) Morrison:
  Verification and validation: what impact should project size and complexity have on attendant V&V activities and supporting infrastructure? (panel). 148-155
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• Deborah A. Sadowski, Vivek Bapat:
  The Arena product family: enterprise modeling solutions. 159-166
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• James O. Henriksen:
  SLX: pyramid power. 167-175
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• James O. Henriksen:
  General-purpose concurrent and post-processed animation with Proof. 176-181
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• Robert C. Crain, James O. Henriksen:
  Simulation using GPSS/H. 182-187
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• David Krahl:
  Modeling with Extend. 188-195
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• Jean J. O'Reilly, William R. Lilegdon:
  Introduction to AweSim. 196-200
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• Jean J. O'Reilly, William R. Lilegdon:
  Introduction to FACTOR/AIM. 201-207
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• Rochelle N. Price, Charles R. Harrell:
  Simulation modeling and optimization using ProModel. 208-214
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• Rochelle N. Price, Charles R. Harrell:
  Healthcare simulation modeling and optimization using MedModel. 215-219
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• Matthew W. Rohrer:
  AutoMod product suite tutorial (AutoMod, Simulator, AutoStat) by AutoSimulations. 220-226
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• D. Roger Hullinger:
  Taylor Enterprise Dynamics. 227-229
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• Arvind Mehta, Ian Rawles:
  Business solutions using WITNESS. 230-233
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• Brian Wood, Kerim Tumay:
  MODSIM III and CACI's applications. 234-238
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• Andrew J. Siprelle, David J. Parsons, Richard A. Phelps:
  SDI Industry Pro: simulation for enterprise-wide problem solving. 241-248
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• Herbert D. Schwetman:
  "Model, then build": a modern approach to systems development using CSIM18. 249-254
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• Fred Glover, James P. Kelly, Manuel Laguna:
  New advances for wedding optimization and simulation. 255-260
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• Averill M. Law, Michael G. McComas:
  ExpertFit: total support for simulation input modeling. 261-266
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• Kendra E. Moore, Jack C. Chiang, Scott D. Hammer:
  ALPHA/Sim simulation software tutorial. 267-275
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• Shreekanth Moorthy:
  Integrating the CAD model with dynamic simulation: simulation data exchange. 276-280
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• Scott Freedman:
  An overview of fully integrated digital manufacturing technology. 281-285
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• Wendy K. Bloechle, K. Ronald Laughery Jr.:
  Simulation interoperability using Micro Saint simulation software. 286-288
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• Dursun Delen, Perakath C. Benjamin, Madhav Erraguntla:
  An integrated toolkit for enterprise modeling and analysis. 289-297
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• Henry Herper, Ingolf Ståhl:
  Micro-GPSS on the Web and for Windows: a tool for introduction to simulation in high schools. 298-306
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• Xinjie Chang:
  Network simulations with OPNET. 307-314
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• Stephen E. Chick:
  Steps to implement Bayesian input distribution selection. 317-324
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• Michael Freimer, Lee Schruben:
  Using input process indicators for dynamic decision making. 325-329
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• Russell C. H. Cheng:
  Regression metamodeling in simulation using Bayesian methods. 330-335
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• Hatem Ben Ameur, Pierre L'Ecuyer, Christiane Lemieux:
  Variance reduction of Monte Carlo and randomized quasi-Monte Carlo estimators for stochastic volatility models in finance. 336-343
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• Athanassios N. Avramidis, Paul Hyden:
  Efficiency improvements for pricing American options with a stochastic mesh. 344-350
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• Paul Glasserman, Philip Heidelberger, Perwez Shahabuddin:
  Stratification issues in estimating value-at-risk. 351-358
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• Hsiao-Chang Chen, Chun-Hung Chen, Jianwu Lin, Enver Yücesan:
  An asymptotic allocation for simultaneous simulation experiments. 359-366
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• Shane G. Henderson, Peter W. Glynn:
  Can the regenerative method be applied to discrete-event simulation? 367-373
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• José Gollaido, Dimitrios Makrakis, Luis Orozco-Barbosa:
  Fast simulation of broadband telecommunications networks carrying long-range dependent bursty traffic. 374-381
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• David Goldsman, William S. Marshall:
  Selection procedures with standardized time series variance estimators. 382-388
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• Paul Hyden, Lee Schruben:
  Designing simultaneous simulation experiments. 389-394
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• Leyuan Shi, Chun-Hung Chen, Enver Yücesan:
  Simultaneous simulation experiments and nested partition for discrete resource allocation in supply chain management. 395-401
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• Zsolt Haraszti, J. Keith Townsend:
  Rare event simulation of delay in packet switching networks using DPR-based splitting. 402-410
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• Dirk P. Kroese, Victor F. Nicola:
  Efficient simulation of a tandem Jackson network. 411-419
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• Sandeep Juneja, Perwez Shahabuddin, Anurag Chandra:
  Simulating heavy tailed processes using delayed hazard rate twisting. 420-427
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• E. Jack Chen, W. David Kelton:
  Simulation-based estimation of quantiles. 428-434
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• Takayuki Tagaki, Naoto Miyoshi:
  On the implementation of a smoothed perturbation analysis estimator for a single-server queue with multiple vacations. 435-441
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• Natalie M. Steiger, James R. Wilson:
  Improved batching for confidence interval construction in steady-state simulation. 442-451
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• Donald Gross:
  Sensitivity of output performance measures to input distribution shape in modeling queues - real data scenario. 452-457
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• K. Preston White:
  Simulating a nonstationary Poisson process using bivariate thinning: the case of "typical weekday" arrivals at a consumer electronics store. 458-461
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• Michael E. Kuhl, Sun Ewe Lim:
  Sensitivity analysis of simulation output to parameters of nonhomogeneous Poisson processes. 462-465
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• László Gerencsér, Stacy D. Hill, Zsuzsanna Vágó:
  Optimization over discrete sets via SPSA. 466-470
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• Gül Gürkan, A. Yonca Özge, Stephen M. Robinson:
  Solving stochastic optimization problems with stochastic constraints: an application in network design. 471-478
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• Sigurdur Ólafsson:
  Iterative ranking-and-selection for large-scale optimization. 479-485
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• Leslie M. Moore, Bonnie K. Ray:
  Statistical methods for sensitivity and performance analysis in computer experiments. 486-491
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• James R. Swisher, Sheldon H. Jacobson:
  A survey of ranking, selection, and multiple comparison procedures for discrete-event simulation. 492-501
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• M. Isabel Reis dos Santos, Acácio M. O. Porta Nova:
  The main issues in nonlinear simulation metamodel estimation. 502-509
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• William E. Biles, Jack P. C. Kleijnen:
  A Java-based simulation manager for optimization and response surface methodology in multiple-response parallel simulation. 513-517
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• Simon J. E. Taylor, Jon Saville, Rajeev Sudra:
  Developing interest management techniques in distributed interactive simulation using Java. 518-523
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• Anna L. Poplawski, David M. Nicol:
  An investigation of out-of-core parallel discrete-event simulation. 524-530
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• Susumu Morito, Jun Koida, Tsukasa Iwama, Masanori Sato, Yosiaki Tamura:
  Simulation-based constraint generation with applications to optimization of logistic system design. 531-536
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• Mahdi Nasereddin, Mansooreh Mollaghasemi:
  The development of a methodology for the use of neural networks and simulation modeling in system design. 537-542
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• Raymond R. Hill:
  A Monte-Carlo study of genetic algorithm initial population generation methods. 543-547
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• Michael Kantner:
  Hierarchical modeling and multiresolution simulation. 548-552
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• Ernest H. Page, Jeffrey M. Opper:
  Observations on the complexity of composable simulation. 553-560
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• Lars G. Randell, Lars G. Holst, Gunnar S. Bolmsjö:
  Incremental system development of large discrete-event simulation models. 561-568
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• Christopher W. Zobel, William T. Scherer:
  SMG: a new simulation/optimization approach for large-scale problems. 569-572
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• Ferenc Szidarovszky, Abdollah Eskandari:
  A simulation aided solution to an MCDM problem. 573-577
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• Michel Page, Jérôme Gensel, Mahfoud Boudis:
  An algorithm for goal-driven simulation. 578-585
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• Thomas Weidemann:
  Database oriented modeling with simulation microfunctions. 586-590
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• Henk de Swaan Arons:
  Knowledge-based modeling of discrete-event simulation systems. 591-597
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• Charles R. Standridge:
  Modular simulation environments: an object manager based architecture. 598-602
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• Stephen E. Chick, Koichiro Inoue:
  A decision-theoretic approach to screening and selection with common random numbers. 603-610
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• Barry L. Nelson, Souvik Banerjee:
  Evaluating the probability of a good selection. 611-617
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• Douglas J. Morrice, John C. Butler, Peter W. Mullarkey, Srinagesh Gavirneni:
  Sensitivity analysis in ranking and selection for multiple performance measures. 618-624
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• Stefan Wegenkittl:
  Monkeys, gambling, and return times: assessing pseudorandomness. 625-631
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• Pierre L'Ecuyer, Christiane Lemieux:
  Quasi-Monte Carlo via linear shift-register sequences. 632-639
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• Theodora Ivanova, Linda C. Malone, Mansooreh Mollaghasemi:
  Comparison of a two-stage group-screening design to a standard 2 k-p design for a whole-line semiconductor manufacturing simulation model. 640-646
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• Jack P. C. Kleijnen:
  Validation of models: statistical techniques and data availability. 647-654
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• James M. Calvin, Peter W. Glynn, Marvin K. Nakayama:
  On the small-sample optimality of multiple-regeneration estimators. 655-661
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• Christopher W. Zobel, K. Preston White:
  Determining a warm-up period for a telephone network routing simulation. 662-665
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• Sigurdur Ólafsson, Leyuan Shi:
  Optimization via adaptive sampling and regenerative simulation. 666-672
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• James M. Calvin:
  Polynomial acceleration of Monte-Carlo global search. 673-677
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• Young Hae Lee, Kyoung Jong Park, Tag Gon Kim:
  An approach for finding discrete variable design alternatives using a simulation optimization method. 678-685
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• Kurt G. Springfield, John D. Hall, Gregg W. Bell:
  Analysis of electronics assembly operations: Longbow HELLFIRE Missile power supply. 689-693
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• Arne Thesen, Akachai Jantayavichit:
  Design and evaluation of a selective assembly station for high precision scroll compressor shells. 694-700
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• Harriet Black Nembhard, Ming-Shu Kao, Gino Lim:
  Integrating discrete-event simulation with statistical process control charts for transitions in a manufacturing environment. 701-708
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• Manfred Mittler, Alexander K. Schömig:
  Comparison of dispatching rules for semiconductor manufacturing using large facility models. 709-713
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• Eric J. Koehler, Timbur M. Wulf, Alvin C. Bruska, Marvin S. Seppanen:
  Evaluation of cluster tool throughput for thin film head production. 714-719
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• Juergen Potoradi, Gerald Winz, Lee Weng Kam:
  Determining optimal lot-size for a semiconductor back-end factory. 720-726
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• Appa Iyer Sivakumar:
  Optimization of a cycle time and utilization in semiconductor test manufacturing using simulation based, on-line, near-real-time scheduling system. 727-735
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• Mark Kosfeld, Timothy D. Quinn:
  Use of dynamic simulation to analyze storage and retrieval strategies. 736-741
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• Edward G. Anderson, Douglas J. Morrice:
  A simulation model to study the dynamics in a service-oriented supply chain. 742-748
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• Onur M. Ülgen, John E. Shore, Gene Coffman, David P. Sly, Matthew W. Rohrer, Demet C. Wood:
  Increasing the power and value of manufacturing simulation via collaboration with other analytical tools: a panel discussion. 749-753
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• Matt Hickie, John W. Fowler:
  Ancillary effects of simulation. 754-758
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• Richard A. Reid, Elsa L. Koljonen:
  Validating a manufacturing paradigm: a system dynamics modeling approach. 759-765
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• Mel Adams, Paul Componation, Hank Czarnecki, Bernard J. Schroer:
  Simulation as a tool for continuous process improvement. 766-773
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• Siroos Sokhan-Sanj, Gabriel Gaxiola, Gerald T. Mackulak, Fredrick B. Malmgren:
  A comparison of the exponential and the hyperexponential distributions for modeling move requests in a semiconductor fab. 774-778
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• Igor Paprotny, Wendy Zhao, Gerald T. Mackulak:
  Reducing model creation cycle time by automated conversion of a CAD AMHS layout design. 779-783
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• Scott Wu, John Rayter, Igor Paprotny, Gerald T. Mackulak, Joakim Yngve:
  Increasing first pass accuracy of AMHS simulation output using legacy data. 784-789
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• Michael A. Berger, Jiuyi Hua, Paul T. Otis, Katrina S. Werpetinski, Vincent F. Johnston:
  Development of a simulation model for an Army chemical munition disposal facility. 790-797
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• Franz Auinger, Markus Vorderwinkler, Georg Buchtela:
  Interface driven domain-independent modeling architecture for "soft-commissioning" and "reality in the loop". 798-805
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• Marcos Ribeiro Pereira Barretto, Leonardo Chwif, Tillal Eldabi, Ray J. Paul:
  Simulation optimization with the linear move and exchange move optimization algorithm. 806-811
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• K. Ronald Laughery Jr.:
  Using discrete-event simulation to model human performance in complex systems. 815-820
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• Kevin M. Corker:
  Human performance simulation in the analysis of advanced air traffic management. 821-828
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• Deidra L. Donald, Nick Andreou, Jeffrey Abell, Robert J. Schreiber:
  The new design: the changing role of industrial engineers in the design process through the use of simulation. 829-833
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• Alexander K. Schömig:
  On the corrupting influence of variability in semiconductor manufacturing. 837-842
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• Navdeep S. Grewal, Alvin C. Bruska, Timbur M. Wulf, Jennifer K. Robinson:
  Validating simulation model cycle times at Seagate Technology. 843-849
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• Oliver Rose:
  CONLOAD - a new lot release rule for semiconductor wafer fabs. 850-855
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• Sungmin Park, John W. Fowler, W. Matthew Carlyle, Matt Hickie:
  Assessment of potential gains in productivity due to proactive reticle management using discrete event simulation. 856-864
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• K. Preston White, Walter J. Trybula:
  Operational simulation of an x-ray lithography cell: comparison of 200mm and 300mm wafers. 865-874
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• Mathias A. Dümmler:
  Using simulation and genetic algorithms to improve cluster tool performance. 875-879
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• Jennifer K. Robinson, Richard Giglio:
  Capacity planning for semiconductor wafer fabrication with time constraints between operations. 880-887
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• Sanjay Jain, Chu-Cheow Lim, Boon-Ping Gan, Yoke-Hean Low:
  Criticality of detailed modeling in semiconductor supply chain simulation. 888-896
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• Darius Rohan:
  Machine dedication under product and process diversity. 897-902
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• Chad D. DeJong, Thomas Jefferson:
  Modeling lot routing software through discrete-event simulation. 903-908
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• Philip L. Campbell, Darius Rohan, Edward A. MacNair:
  A model of a 300mm wafer fabrication line. 909-911
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• Jerry Weckman, Theron Colvin, Robert J. Gaskins, Gerald T. Mackulak:
  Application of simulation and the Boehm spiral model to 300-mm logistics system risk reduction. 912-917
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