• 
  Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005. ACM 2005 ISBN 0-7803-9519-0

Opening session: keynote address

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  Nancy J. Currie: The role of simulation in spaceflight missions. 1

Introductory tutorials: agent-based modeling

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  Charles M. Macal, Michael J. North: Tutorial on agent-based modeling and simulation. 2-15

Introductory tutorials: introduction to simulation

• 
  John S. Carson II: Introduction to modeling and simulation. 16-23

Poster session: presentation only

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  Samuel Frimpong Boateng: The dynamics of multinational capital structure and macroeconomic conditions. 20
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  Elias A. Demetriades, Deborah Cernauskas: Forecasting the term structure of natural gas constant maturity futures using a seasonal principal components-based post-weighted monte carlo simulation. 21
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  Hongmei Chi, Edward L. Jones: Assesssing uncertainty in software reliability via quasi-monte carlo methods. 22
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  Stephan Eidenbenz: Los Alamos communication network simulation. 23
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  Ryo Fukuhara, Tomoharu Matsunaka, Kazutaka Kitamori: Automatic generation of simulation program by XML-prolog. 24
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  Per M. Gustavsson, Anna Persson, Tomas Planstedt, Christoffer Brax, Madeleine Norstedt Larsson: Experiences from the annual 24-hour software engineering competition at University of Skövde: how to use simulation for detecting good software engineers. 25
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  Jimmy Huff, Silvanus J. Udoka: Telerobotic systems for restoration work in structured hazardous environments. 26
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  David M. Kunzman, Terry Wilmarth, Laxmikant V. Kalé: Parallel VHDL simulation. 27
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  Yohei Miyazaki, Keiko Yukawa, Kazutaka Kitamori: Numerical calculation of electric fields with charge densities expressed using spline functions. 27
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  Jairo Rafael Montoya-Torres, Stéphane Dauzère-Pérès, Hélène Marian, Leon Vermariën: Simulation-optimization for transportation in a unified automated material handling systems. 29
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  John R. Podlena, Keith Joshi: Optimization of airport taxiways using fast time simulation. 30
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  Desiree Steinmann, Matthew Johnson, Kevin M. Taaffe, Lindsay Becker: Methodology for hospital evacuation planning. 31
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  Tim B. Swartz: Importance sampling with skew-normal distributions. 32
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  Ernest Yat-Kwan Wong: How to leverage computer simulation in condition-based maintenance. 33

Introductory tutorials: model validation and verification

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  Averill M. Law: How to build valid and credible simulation models. 24-32

Introductory tutorials: spreadsheet simulation

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  Andrew F. Seila: Spreadsheet simulation. 33-40

Simulation case studies C: bio health systems

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  Stephen Hall: Predicting the effect of process time variability on annual production in a cell culture manufacturing facility. 34
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  J. Jaime Caro, Alexandra Ward, Jörgen Möller: Target II: the first discrete event simulation of diabetes and its complications. 35
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  Steven Naron: Scaling and using large pandemic agent-based models. 36

Simulation case studies C: manufacturing applications

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  Gail Kenny, Tim Rech: Simulating coated paper production and distribution. 37
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  Mehdi Ashrafi Nasrabadi, Soheil Mardani: Evaluating increasing capacity of steel hot rolling line to 4.2 million ton per year. 38
• 
  Charles Stuart: Assembly line simulation for a rear suspension cradle. 39

Simulation case studies C: lean manufacturing

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  Mark Orth, Franklin Young: The lean transformation in engine overhaul. 40
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  Knud Erik Wichmann, Niels Erik Larsen: Business driven simulation of a postal letter sorting facility in Oslo, Norway. 41

Introductory tutorials: input modeling

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  Emily K. Lada, Mary Ann Flanigan Wagner, Natalie M. Steiger, James R. Wilson: Introduction to modeling and generating probabilistic input processes for simulation. 41-55

Simulation case studies C: transporation systems

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  Amy M. Brown, James T. Sawyer, Blair Garcia: A simulation based approach to evaluating the impact of port operation improvements on the Pacific northwest rail network. 42
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  Markus Klug, Shabnam Michèle Tauböck, Helmut-Klaus Schimany, Dietmar Schratt, Günther Kaluza: Simulation support for a new approach to multimodal transportation handling. 43
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  Beth C. Kulick: Using simulation to evaluate emerging transportation concepts. 44

Simulation case studies C: service systems

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  Pam Laney Markt: Driving large call center simulations using OLAP data cubes. 45
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  Daniel S. Riley: Simulating a virtual customer service center. 46
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  Edward R. Stephan: Process management for federal agencies. 47

Simulation case studies C: management cost systems

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  Irina Warthen, Kris Arvind: Probabilistic simulation analysis of risk potential in cost management programs. 48
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  Robert Yerex: Simulation model for analyzing effects of employment tax incentive programs. 49

Simulation case studies C: business process applications

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  Kris Arvind: Process simulation as a key to uncovering true organizational value. 50
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  Valerie G. Caryer Cook: Using discrete-element simulation to evaluate laboratory instrumentation needs. 51
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  Benjamin Martin, James Francis: Validation of a time-of-supply inventory policy through simulation. 52

Simulation case studies C: case study applications

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  David M. Northcutt: Using monte carlo simulation to choose among alternative statistical definitions. 53
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  Chris Robson: Simulating customer ownership patterns for technology goods in the mature market phase. 54
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  Darrell W. Starks: When things go wrong. 55

Introductory tutorials: successful simulation practice

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  Deborah A. Sadowski: Tips for successful practice of simulation. 56-61

Simulation case studies D: modeling internet applications

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  Martin J. Fischer, Denise M. Bevilacqua Masi: Modeling overloaded VoIP systems. 59
• 
  Conrad Mark Fonseca: Agent based consumer choice model of broadband internet services incorporating geographical limitations of technologies. 60
• 
  Anand Ganti, Thomas Tarman, Jason Wertz: Supercomputing interconnects. 61

Introductory tutorials: simulation debugging

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  David Krahl: Debugging simulation models. 62-68

Simulation case studies B: semiconductor and petroleum applications

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  Guilherme De Aquino Barbosa, Marcelo Oliveira Souza, Ana Chan, Guilherme Julio Barbosa, Eliahu Rosenbaum, Cláudio Duarte Pinto Limoeiro, Mario Jorge Lima, Claudio Rodrigo Beal: Implantation of gasoline stream simulation model in PETROBRAS refinery: problems, possibilities and results. 65
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  Erik Hertzler, David Van Sickle: 300mm time constrained queue loop management. 66
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  Marlize Meyer: Discrete event simulation in Sasol: petrochemical industry. 67

Vendor track A: Wolverine and Incontrol-Falcon

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  James O. Henriksen: Wolverine Software Corp. 68
• 
  Fred Jansma: Incontrol Enterprise Dynamics: Falcon. 69

Introductory tutorials: design of simulation experiments

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  Susan M. Sanchez: Work smarter, not harder: guidelines for designing simulation experiments. 69-82

Vendor track A: Flexsim and Incontrol ED - defense solution

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  Fred Jansma: Incontrol Enterprise Dynamic: defense solutions. 70
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  D. Roger Hullinger: Flexsim Software Products Inc. 71

Vendor track A: micro analysis and CreateASoft

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  Hosni Adra: CreateASoft Inc.: Simcad Pro 7.1. 72
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  Ben Archer: Micro analysis & design: Micro Saint Sharp. 73

Vendor track A: Imagine That Inc.

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  David Krahl: Imagine That, Inc: extend overview. 74
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  David Krahl: Imagine That, Inc.: extend 7. 75

Vendor track A: Production Modeling and Decisioneering Inc.

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  Onur M. Ülgen: Production Modeling Corp. 76
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  Lucie Trepanier: Decisioneering, Inc.: Crystal Ball. 77

Vendor track A: Visual 8

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  Kim Hindle: Visual8 Corporation: SIMUL8-Planner. 78

Vendor track B: Palisade Corporation and Incontrol-ShowFlow

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  Stephen Webb: Incontrol Enterprise Dynamics: ShowFlow. 79
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  Abigail Holley: Palisade Corporation. 80

Vendor track B: Rockwell Software and XJ Technologies

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  Vivek Bapat: Rockwell Software: arena introduction. 81
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  Andrei Borshchev: XJ technologies: AnyLogic 6. 82

Introductory tutorials: simulation optimization

• 
  Michael C. Fu, Fred Glover, Jay April: Simulation optimization: a review, new developments, and applications. 83-95

Vendor track B: Incontrol ED

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  Fred Jansma: Incontrol Enterprise Dynamics: airport/rail solutions. 85
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  Fred Jansma: Incontrol Enterprise Dynamics: production/logistics solutions. 86

Vendor track B: Rockwell Software and Brooks Automation

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  Vivek Bapat: Rockwell Software: arena advanced. 87
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  Barbara Culhane: Brooks Automation. 88

Advanced tutorials: optimization of logistics simulations

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  Warren B. Powell: The optimizing-simulator: merging simulation and optimization using approximate dynamic programming. 96-109

Advanced tutorials: random number generation

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  Pierre L'Ecuyer, François Panneton: Fast random number generators based on linear recurrences modulo 2: overview and comparison. 110-119

Advanced tutorials: input modeling

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  Shane G. Henderson: Should we model dependence and nonstationarity, and if so how? 120-129

Advanced tutorials: verification, validation, and accreditation

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  Robert G. Sargent: Verification and validation of simulation models. 130-143

Advanced tutorials: modeling call centers

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  Athanassios N. Avramidis, Pierre L'Ecuyer: Modeling and simulation of call centers. 144-152

Advanced tutorials: network traffic modeling

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  David M. Nicol, Michael Liljenstam, Jason Liu: Advanced concepts in large-scale network simulation. 153-166

Advanced tutorials: inside simulation software

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  Thomas J. Schriber, Daniel T. Brunner: Inside discrete-event simulation software: how it works and why it matters. 167-177

Advanced tutorials: selection of the best

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  David Goldsman, Seong-Hee Kim, Barry L. Nelson: Statistical selection of the best system. 178-187

Advanced tutorials: output analysis

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  Christos Alexopoulos, Seong-Hee Kim: Review of advanced methods for simulation output analysis. 188-201

Tribute to Jack Kleijnen: metamodels

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  Wim C. M. Van Beers: Kriging metamodeling in discrete-event simulation: an overview. 202-208
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  Russell R. Barton: Issues in development of simultaneous forward-inverse metamodels. 209-217
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  William E. Biles, Jack P. C. Kleijnen: International collaborations in web-based simulation: a focus on experimental design and optimization. 218-222

Tribute to Jack Kleijnen: output analysis

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  Susan M. Sanchez, Hong Wan, Thomas W. Lucas: A two-phase screening procedure for simulation experiments. 223-230
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  Curtis B. Storlie, Jon C. Helton: Multiple predictor smoothing methods for sensitivity analysis. 231-239
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  Russell C. H. Cheng: Bootstrapping simultaneous confidence bands. 240-247

Modeling methodology A: DEVS and multi-formalism modeling

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  Xiaolin Hu, Alexandre Muzy, Lewis Ntaimo: A hybrid agent-cellular space modeling approach for fire spread and suppression simulation. 248-255
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  Hessam S. Sarjoughian, Dongping Huang, Gary W. Godding, Karl G. Kempf, Wenlin Wang, Daniel E. Rivera, Hans D. Mittelmann: Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing. 256-266
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  James J. Nutaro: Constructing multi-point discrete event integration schemes. 267-273

Modeling methodology A: plenary: simulation and or for combined practical optimization

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  Nico M. van Dijk, Erik van der Sluis, René Haijema, Assil Al-Ibrahim, Jan van der Wal: Simulation and or (operations research) in combination for practical optimization. 274-284

Modeling methodology A: modeling for simulation

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  Thomas F. Brady, Edward Yellig: Simulation data mining: a new form of computer simulation output. 285-289
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  Wouter Hendrickx, Tom Dhaene: Sequential design and rational metamodelling. 290-298
• 
  Peter H. M. Jacobs, Alexander Verbraeck, Jeroen B. P. Mulder: Flight scheduling at KLM. 299-306

Modeling methodology A: modeling specifications and frameworks

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  Dimosthenis Anagnostopoulos, Georgios-Dimitrios Kapos, Vassilis Dalakas, Mara Nikolaidou: Introducing a UML model for faster-than-real-time simulation. 307-316
• 
  Adelinde Uhrmacher, Corrado Priami: Discrete event systems specification in systems biology - a discussion of stochastic pi calculus and DEVS. 317-326
• 
  Wenlong Zhao, Alexander Verbraeck: A framework for configurable hierarchical simulation in a multiple-user decision support environment. 327-335

Modeling methodology A: parallel and distributed simulation I

• 
  Niels A. Lang, Peter H. M. Jacobs, Alexander Verbraeck: RMIS: middleware for transparent object-oriented modeling in multi-simulator systems. 336-345
• 
  Gilbert Chen, Boleslaw K. Szymanski: DSIM: scaling time warp to 1, 033 processors. 346-355
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  Kalyan S. Perumalla, Richard M. Fujimoto, Prashant J. Thakare, Santosh Pande, Homa Karimabadi, Yuri Omelchenko, Jonathan Driscoll: Performance prediction of large-scale parallel discrete event models of physical systems. 356-364

Modeling methodology A: parallel and distributed simulation II

• 
  Yijia Xu, Suvrajeet Sen: A distributed computing architecture for simulation and optimization. 365-373
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  Robert Geist, Jacob Hicks, Mark Smotherman, James Westall: Parallel simulation of petri nets on desktop pc hardware. 374-383
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  Tobias Kiesling, Johannes Lüthi, Rachid El Abdouni Khayari: Bias in parallel and distributed simulation systems. 384-393

Modeling methodology A: distributed methods

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  Boon-Ping Gan, Peter Lendermann, Malcolm Yoke-Hean Low, Stephen John Turner, Xiaoguang Wang, Simon J. E. Taylor: Interoperating autosched AP using the high level architecture. 394-401
• 
  Xiaoguang Wang, Stephen John Turner, Simon J. E. Taylor, Malcolm Yoke-Hean Low, Boon-Ping Gan: A COTS Simulation Package Emulator (CSPE) for investigating COTS simulation package interoperability. 402-411
• 
  Pawan K. Choudhary, Bharat B. Madan, Kishor S. Trivedi: Modeling and simulation of integrated voice/data cellular communication with generally distributed delay for end voice calls. 412-418

Modeling methodology A: validation and reusability

• 
  Nicholas Allen, Clifford A. Shaffer, Layne T. Watson: Building modeling tools that support verification, validation, and testing for the domain expert. 419-426
• 
  Peter Kemper, Carsten Tepper: Trace based analysis of process interaction models. 427-436
• 
  Michael Spiegel, Paul F. Reynolds Jr., David C. Brogan: A case study of model context for simulation composability and reusability. 437-444

Modeling methodology A: innovative methodologies in M&S for people and good flow

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  Enrico Bocca, Simone Viazzo, Francesco Longo, Giovanni Mirabelli: Developing data fusion systems devoted to security control in port facilities. 445-449
• 
  Stefano Saetta, Lorenzo Tiacci: A new methodology for applying simulation driven metaheuristics to the balancing of security inspection lines. 450-455
• 
  Maâmar El-Amine Hamri, Claudia S. Frydman, Lucile Torres: Modeling waiting systems from domain expert specifications. 456-460
• 
  Jianfeng Peng, Lizhi Yang, Faisal Momen, Jerzy W. Rozenblit: Level-of-detail based modeling of object movement in tracking and surveillance system. 461-466

Modeling methodology B: estimation in simulation experiments

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  Hua Shen, Hong Wan: Controlled sequential factorial design for simulation factor screening. 467-474
• 
  Feng Yang, Bruce E. Ankenman, Barry L. Nelson: Estimation of percentiles of cycle time in manufacturing simulation. 475-484
• 
  Christine S. M. Currie, Russell C. H. Cheng: Balancing bias and variance in the optimization of simulation models. 485-490

Modeling methodology B: rare events simulation I

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  Gerardo Rubino: Sensitivity analysis of network reliability using monte carlo. 491-498
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  Werner Sandmann: Importance sampling in Markovian settings. 499-508
• 
  Poul E. Heegaard, Bjarne E. Helvik, Ragnar Ø. Andreassen: Application of rare event techniques to trace driven simulation. 509-518

Modeling methodology B: rare events simulation II

• 
  Héctor Cancela, Gerardo Rubino, Bruno Tuffin: New measures of robustness in rare event simulation. 519-527
• 
  Jean-Marc Vincent: Perfect simulation of monotone systems for rare event probability estimation. 528-537
• 
  Victor F. Nicola, Tatiana S. Zaburnenko: Efficient importance sampling heuristics for the simulation of population overflow in Jackson networks. 538-546

Modeling methodology B: plenary: simulation problems and models

• 
  Ray J. Paul, Tillal Eldabi, Jasna Kuljis, Simon J. E. Taylor: Is problem solving, or simulation model solving, mission critical? 547-554

Modeling methodology B: is simulation model solving, mission critical?

• 
  Ray J. Paul, Richard E. Nance, Mark Elder, Ernest H. Page, Jerzy W. Rozenblit: Is problem solving, or simulation model solving, mission critical?: the panel reloads. 555

Modeling methodology B: modeling call centers

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  Eric Buist, Pierre L'Ecuyer: A java library for simulating contact centers. 556-565
• 
  Samuel G. Steckley, Shane G. Henderson, Vijay Mehrotra: Performance measures for service systems with a random arrival rate. 566-575
• 
  Ger Koole, Auke Pot: Approximate dynamic programming in multi-skill call centers. 576-583

Modeling methodology B: modeling and simulation of computer systems

• 
  Vinh Vi Lam, Peter Buchholz, William H. Sanders: A component-level path-based simulation approach for efficient analysis of large Markov models. 584-590
• 
  Nilesh Choudhury, Yogesh Mehta, Terry Wilmarth, Eric J. Bohm, Laxmikant V. Kalé: Scaling an optimistic parallel simulation of large-scale interconnection networks. 591-600
• 
  David M. Nicol, Hamed Okhravi: Performance analysis of binary code protection. 601-610

Modeling methodology B: simulation languages

• 
  Pierre L'Ecuyer, Eric Buist: Simulation in java with SSJ. 611-620
• 
  Stephen V. Rice, Harry M. Markowitz, Ana Marjanski, Stephen M. Bailey: The SIMSCRIPT III programming language for modular object-oriented simulation. 621-630
• 
  Thomas Wiedemann: SIMSOLUTION: an open simulation environment founded on extreme multitasking. 631-636

Modeling methodology B: language modeling improvements

• 
  Cameron Kiddle, Rob Simmonds, Brian Unger: Channel based sequential simulation. 637-647
• 
  Yen-Ping Leow-Sehwail, Ricki G. Ingalls: Qualitative discrete event simulation. 648-653
• 
  Edwin Valentin, Alexander Verbraeck: Requirements for domain specific discrete event simulation environments. 654-663

Analysis methodology A: rare-event simulation

• 
  Achal Bassamboo, Sandeep Juneja, Assaf J. Zeevi: Importance sampling simulation in the presence of heavy tails. 664-672
• 
  Shane S. Drew, Tito Homem-de-Mello: Some large deviations results for Latin hypercube sampling. 673-681
• 
  Frédéric Cérou, François LeGland, Pierre Del Moral, Pascal Lezaud: Limit theorems for the multilevel splitting algorithm in the simulation of rare events. 682-691

Analysis methodology A: simulation optimization: selection procedures I

• 
  Demet Batur, Seong-Hee Kim: Procedures for feasibility detection in the presence of multiple constraints. 692-698
• 
  Mark W. Brantley, Chun-Hung Chen: A moving mesh approach for simulation budget allocation on continuous domains. 699-707
• 
  Jürgen Branke, Stephen E. Chick, Christian Schmidt: New developments in ranking and selection: an empirical comparison of the three main approaches. 708-717

Analysis methodology A: simulation optimization: selection procedures II

• 
  Roy R. Creasey Jr., K. Preston White, Melanie B. Marks, Bennie D. Waller: Determination of the "best" system that meets a limit standard. 718-722
• 
  E. Jack Chen: Using parallel and distributed computing to increase the capability of selection procedures. 723-731
• 
  Sigrún Andradóttir, David Goldsman, Seong-Hee Kim: Finding the best in the presence of a stochastic constraint. 732-738

Analysis methodology A: plenary: initial transient

• 
  Peter W. Glynn: Initial transient problem for steady-state output analysis. 739-740

Analysis methodology A: input and output analysis

• 
  Matthew J. Duggan, John H. Drew, Lawrence M. Leemis: A test of randomness based on the distance between consecutive random number pairs. 741-748
• 
  Jennifer E. McNeill, John W. Fowler, Gerald T. Mackulak, Barry L. Nelson: Cycle-time quantile estimation in manufacturing systems employing dispatching rules. 749-755
• 
  Tûba Aktaran-Kalayci, David Goldsman: Linear combinations of overlapping variance estimators for simulations. 756-762

Analysis methodology A: steady-state output analysis

• 
  Stewart Robinson: Automated analysis of simulation output data. 763-770
• 
  Manuel D. Rossetti, Zhe Li, Peng Qu: Exploring exponentially weighted moving average control charts to determine the warm-up period. 771-780
• 
  Natalie M. Steiger, Emily K. Lada, James R. Wilson: Performance evaluation of ASAP3 for steady-state output analysis. 781-789

Analysis methodology A: analysis methodlogy reflection

• 
  Sigrún Andradóttir, David Goldsman, Lee W. Schruben, Bruce W. Schmeiser, Enver Yücesan: Analysis methodology: are we done? 790-796

Analysis methodology A: simulation optimization I

• 
  Andrei A. Prudius, Sigrún Andradóttir: Two simulated annealing algorithms for noisy objective functions. 797-802
• 
  L. Jeff Hong: Discrete optimization via simulation using coordinate search. 803-810
• 
  Jiaqiao Hu, Michael C. Fu, Steven I. Marcus: Stochastic optimization using model reference adaptive search. 811-818

Analysis methodology A: simulation optimization II

• 
  Sameh Al-Shihabi: Subcontracting in a make-to-stock production system, IPA gradients for an SFM. 819-824
• 
  Gwendolyn J. Malone, Seong-Hee Kim, David Goldsman, Demet Batur: Performance of variance updating ranking and selection procedures. 825-832
• 
  Hamidreza Eskandari, Luis Rabelo, Mansooreh Mollaghasemi: Multiobjective simulation optimization using an enhanced genetic algorithm. 833-841

Analysis methodology B: simulation optimization: metaherustics

• 
  Peter Buchholz, Axel Thümmler: Enhancing evolutionary algorithms with statistical selection procedures for simulation optimization. 842-852
• 
  Mufit Ozden: A new optimization heuristic for continuous and integer decisions with constraints in simulation. 853-856
• 
  Talal M. Alkhamis, Mohamed A. Ahmed: Simulation-based optimization for repairable systems using particle swarm algorithm. 857-861

Analysis methodology B: queueing simulation

• 
  Shuji Kijima, Tomomi Matsui: Approximate/perfect samplers for closed Jackson networks. 862-868
• 
  Martin B. Hansen: Nonparametric estimation of the stationary M/G/1 workload distribution function. 869-877
• 
  Mohamed A. Ahmed, Talal M. Alkhamis: An efficient performance extrapolation for queuing models in transient analysis. 878-885

Homeland security/emergency response: simulation for emergency management

• 
  Pavel Albores, Duncan Shaw: Responding to terrorist attacks and natural disasters: a case study using simulation. 886-894
• 
  Margaret L. Loper, Bart Presnell: Modeling an emergency operations center with agents. 895-903
• 
  Sanjay Jain, Charles R. McLean: Integrated simulation and gaming architecture for incident management training. 904-913

Homeland security/emergency response: simulation for response

• 
  Robert L. Sanders, Joseph E. Lake: Training first responders to nuclear facilities using 3-D visualization technology. 914-918
• 
  C. Donald Robinson, Donald E. Brown: First responder information flow simulation: a tool for technology assessment. 919-925
• 
  K. Preston White: A survey of data resources for simulating patient flows in healthcare delivery systems. 926-935

Homeland security/emergency response: medical response simulation

• 
  Jason R. Schenk, Deng Huang, Ning Zheng, Theodore Allen: Multiple fidelity simulation optimization of hospital performance under high consequence event scenarios. 936-942
• 
  Kevin M. Taaffe, Rachel Kohl, Delbert L. Kimbler: Hospital evacuation: issues and complexities. 943-950
• 
  Ersan Gunes, Roberto Szechtman: A simulation model of a helicopter ambulance service. 951-957

Homeland security/emergency response: physical security simulation

• 
  Volkan Ustun, Haluk Yapicioglu, Skylab R. Gupta, Abishek Ramesh, Jeffrey S. Smith: A conceptual architecture for static features in physical security simulation. 958-964
• 
  Dean A. Jones, Mark A. Turnquist, Linda K. Nozick: Simulation of imperfect information in vulnerability modeling for infrastructure facilities. 965-971
• 
  Russell R. Vane III: Planning for terrorist-caused emergencies. 972-978

Agent based modeling: new approaches to agent based modeling

• 
  Seung Man Lee, Ujwala Ravinder, James C. Johnston: Developing an agent model of human performance in air traffic control operations using Apex cognitive architecture. 979-987
• 
  David J. Walton, Eugene P. Paulo, Christopher J. McCarthy, Ravi Vaidyanathan: Modeling force response to small boat attack against high value commercial ships. 988-991
• 
  Arnold H. Buss, Paul J. Sanchez: Simple movement and detection in discrete event simulation. 992-1000

Agent based modeling: agent applications of coevolutionary dynamics

• 
  Philip S. Barry, Matthew T. K. Koehler: Leveraging agent based simulation for rapid course of action development. 1001-1007
• 
  Mary L. McDonald, Stephen C. Upton: Investigating the dynamics of competition: coevolving red and blue simulation parameters. 1008-1012
• 
  Brian F. Tivnan: Coevolutionary dynamics and agent-based models in organization science. 1013-1021

Agent based modeling: agent based modeling

• 
  Radu F. Babiceanu, F. Frank Chen: Performance evaluation of agent-based material handling systems using simulation techniques. 1022-1028
• 
  Benjamin Dubiel, Omer Tsimhoni: Integrating agent based modeling into a discrete event simulation. 1029-1037
• 
  S. Clifton Parks, Maxim Garifullin, Rainer Dronzek: Argus invasive species spread model constructed using agent-based modeling approach and cellular automata. 1038-1042

Agent based modeling: agent-based simulation in AI planning

• 
  Julie S. Weber, Martha E. Pollack: Simulating users to support the design of activity management systems. 1043-1048
• 
  David Joslin, Jeremy Frank, Ari K. Jónsson, David E. Smith: Simulation-based planning for planetary rover experiments. 1049-1058
• 
  David Joslin, William Poole: Agent-based simulation for software project planning. 1059-1066

Military applications: military keynote

• 
  Paul K. Davis: New paradigms and new challenges. 1067-1076

Military applications: data farming agent models related to military questions

• 
  Adam J. Forsyth, Gary E. Horne, Stephen C. Upton: Marine corps applicatons of data farming. 1077-1081
• 
  Gary E. Horne, Theodore E. Meyer: Data farming: discovering surprise. 1082-1087
• 
  Niraj Srivastava, Frank Pietryka, Gary E. Horne, Mark Theroff: Simulation environment to assess technology insertion impact and optimized manning. 1088-1093
• 
  Henrik Friman, Gary E. Horne: Using agent models and data farming to explore network centric operations. 1094-1100

Military applications: issues in human performance modeling for military systems

• 
  Antoinette M. Portrey, Brian T. Schreiber, Winston Bennett Jr.: The pairwise Escape-G metric: a measure for air combat maneuvering performance. 1101-1108
• 
  Rik Warren, David E. Diller, Alice Leung, William Ferguson, Janet L. Sutton: Simulating scenarios for research on culture & cognition using a commercial role-play game. 1109-1117
• 
  Brooke H. McNally: An approach to human behavior modeling in an Air Force simulation. 1118-1122

Military applications: advance military modeling I

• 
  Alan Cowdale: Sports analogy for modelling of combat in the air domain. 1123-1128
• 
  Matthew A. Russell, Gary B. Lamont, Kenneth Melendez: On using SPEEDES as a platform for a parallel swarm simulation. 1129-1137
• 
  Lance E. Champagne, Raymond R. Hill: Simulation validation with historic outcomes. 1138-1147

Military applications: effects-based military modelings

• 
  Kim J. Allen, Craig Black: Implementation of a framework for vulnerability/lethality modeling and simulation. 1148-1153
• 
  David Lambert, Sunhee Yoo, D. Scott Stewart: A validation of first-order detonation shock dynamics theory. 1154-1159
• 
  Abhilash Rajagopal, Sanjeev Agarwal, Sreeram Ramakrishnan: Simulation based performance modeling for a warfighter in the loop minefield detection system. 1160-1169

Military applications: distributed modeling for military applications

• 
  Gene Wagenbreth, Ke-Thia Yao, Dan M. Davis, Robert F. Lucas, Thomas D. Gottschalk: Enabling 1, 000, 000-entity simulations on distributed Linux clusters. 1170-1181
• 
  Martin Eklöf, Farshad Moradi, Rassul Ayani: A framework for fault-tolerance in HLA-based distributed simulations. 1182-1189
• 
  David W. Mutschler: Language based simulation, flexibility, and development speed in the joint integrated mission model. 1190-1197

Military applications: military acquistion and employment modeling

• 
  Chandresh Mehta, Govindarajan Srimathveeravalli, Thenkurussi Kesavadas: An approach to design and development of decentralized data fusion simulator. 1198-1204
• 
  Terri G. Chang: Exploring C4ISR employment methods. 1205-1212
• 
  Grant Martin, Jeffrey B. Schamburg, Michael J. Kwinn Jr.: Acquisition-based simulation. 1213-1219

Military applications: advance military modeling II

• 
  Fang Ke, Yang Ming, Zicai Wang: The HITVICE VV&A environment. 1220-1227
• 
  Hengjie Song, Ping Ma, Ming Yang: The application of evaluation method based on HMM for results validity of complex simulation system. 1228-1233
• 
  John B. Gilmer Jr., Frederick J. Sullivan: Issues in event analysis for recursive simulation. 1234-1241

Aerospace and military applications: aerospace M&S applications

• 
  Perakath C. Benjamin, Mike Graul, Michael K. Painter, Frank Boydstun: Toward effective depot transformation: leveraging simulation to enhance transition planning. 1242-1250
• 
  Michael G. Madden, Roberta Wyrick, Dale E. O'Neill: A strategy for autogeneration of space shuttle ground processing simulation models for project makespan estimation. 1251-1259
• 
  Grant R. Cates, Mansooreh Mollaghasemi: A discrete event simulation model for assembling the international space station. 1260-1264

Aerospace and military applications: simulation in aerospace I: hardware and man in the loop

• 
  Keith Schlee, Sathya Gangadharan, James Ristow, Carl Hubert, James Sudermann, Charles Walker: Modeling and parameter estimation of spacecraft fuel slosh mode. 1265-1274
• 
  Jon French, Jeff Miller: Estimating the effects of stress during operational conditions. 1275-1280
• 
  Cary J. Peaden: Using simulation for launch team training and evaluation. 1281-1290

Aerospace and military applications: simulation in aerospace II: distributed simulations

• 
  Jorge E. Bardina, Rajkumar Thirumalainambi: Distributed web-based expert system for launch operations. 1291-1297
• 
  Jeffrey W. Dawson, Ping Chen, Yanshen Zhu: Usability study of the virtual test bed and distributed simulation. 1298-1305
• 
  Grant R. Cates, Mansooreh Mollaghasemi: Supporting the vision for space with discrete event simulation. 1306-1310

Aerospace and military applications: why system dynamics? lessons learned from applications

• 
  Nicolas Dulac, Nancy G. Leveson, David Zipkin, Stephen Friedenthal, Joel Cutcher-Gershenfeld, John Carroll, Betty Barrett: Using system dynamics for safety and risk management in complex engineering systems. 1311-1320
• 
  C. Patrick Koelling, Michael J. Schwandt: Health systems: a dynamic system - benefits from system dynamics. 1321-1327
• 
  Sergio E. Quijada, Juan F. Arcas, Cristian Renner, Luis Rabelo: A spatio temporal simulation model for evaluating delinquency and crime policies. 1328-1334

Manufacturing applications: assembly systems

• 
  Pradip D. Jadhav, Jeffrey S. Smith: Analyzing printed circuit board assembly lines using a PCB assembly template. 1335-1342
• 
  Marvin S. Seppanen: Operator-paced assembly line simulation. 1343-1349
• 
  Sk Ahad Ali, Hamid Seifoddini, Hong Sun: Intelligent modeling and simulation of flexible assembly systems. 1350-1358

Manufacturing applications: high volume material flow

• 
  Douglas A. Bodner, Ke Wang, Sheng Xu: Advanced decision logic in simulation of material flow processing networks. 1359-1366
• 
  Lan Chen, Michael Pidd: High performance simulation in quasi-continuous manufacturing plants. 1367-1372
• 
  Ying Wang, Chen Zhou: Fluid based simulation model for high volume DC conveyor systems. 1373-1380

Manufacturing applications: facilities planning & work cell design

• 
  Esra E. Aleisa, Li Lin: For effective facilities planning: layout optimization then simulation, or vice versa? 1381-1385
• 
  Carrie Grimard, Jon H. Marvel, Charles R. Standridge: Validation of the re-design of a manufacturing work cell using simulation. 1386-1391
• 
  Sara L. Maas, Charles R. Standridge: Applying simulation to interative manufacturing cell design. 1392-1400

Manufacturing applications: production analysis & constraints

• 
  Patrick Faget, Ulf Eriksson, Frank Herrmann: Applying discrete event simulation and an automated bottleneck analysis as an aid to detect running production constraints. 1401-1407
• 
  Servet Hasgül, Alptug Selçuk Büyüksünetçi: Simulation modeling and analysis of a new mixed model production lines. 1408-1412
• 
  Mark A. Treadwell, Jeffrey W. Herrmann: A kanban module for simulating pull production in ARENA. 1413-1417

Manufacturing applications: production policy & cost control

• 
  Sean M. Gahagan, Jeffrey W. Herrmann: Finding the optimal production control policy using the production control framework. 1418-1427
• 
  Petter Solding, Damir Petku: Applying energy aspects on simulation of energy-intensive production systems. 1428-1432

Manufacturing applications: simulation-data interface & integration

• 
  Silvanus T. Enns, Pattita Suwanruji: Lot-sizing within capacity-constrained manufacturing systems using time-phased planning. 1433-1440
• 
  Arne Ingemansson, Jan Oscarsson: Discrete-event simulation and automatic data collection improve performance in a manufacturing system. 1441-1445
• 
  Y. Tina Lee, Yan Luo: Data exchange for machine shop simulation. 1446-1452

Manufacturing applications: simuation and control

• 
  Peter H. M. Jacobs, Alexander Verbraeck, William Rengelink: Emulation with DSOL. 1453-1462
• 
  Javier Faulin, Angel A. Juan, Carles Serrat, Vicente Bargueño: SAEDES++: determining complex system availability via simulation. 1463-1472
• 
  Sreeram Ramakrishnan, Mayur Thakur: An SDS modeling approach for simulation-based control. 1473-1482

Construction engineering and project management: construction engineering I

• 
  Photios G. Ioannou, Veerasak Likhitruangsilp: Simulation of multiple-drift tunnel construction with limited resources. 1483-1491
• 
  Seungwoo Han, Daniel W. Halpin: The use of simulation for productivity estimation based on multiple regression analysis. 1492-1499
• 
  Nathan D. Boskers, Simaan M. AbouRizk: Modeling scheduling uncertainty in capital construction projects. 1500-1507

Construction engineering and project management: construction engineering II

• 
  SangHyun Lee, Feniosky Peña-Mora: System dyanmics approach for error and change management in concurrent design and construction. 1508-1514
• 
  Photios G. Ioannou, Vineet R. Kamat: Intelligent preemption in construction of a manmade island for an airport. 1515-1523
• 
  Ming Lu, Lap-Chi Wong: Comparing PROMODEL and SDESA in modeling construction operations. 1524-1532

Construction engineering and project management: construction engineering III

• 
  Gunnar Lucko: Reviving a mechanistic view of CPM schedules in the age of information technology. 1533-1540
• 
  Cheng Zhang, Tarek M. Zayed, Amin Hammad, Gabriel A. Wainer: Representation and analysis of spatial resources in construction simulation. 1541-1548
• 
  Hans-Joachim Bargstädt, Arno Blickling: Determination of process durations on virtual construction sites. 1549-1558

Logistics, transportation, and distribution: maritime simulation

• 
  Johan J. van Rensburg, Yi He, Anton J. Kleywegt: A computer simulation model of container movement by sea. 1559-1566
• 
  Yvo A. Saanen, Margaret V. Valkengoed: Comparison of three automated stacking alternatives by means of simulation. 1567-1576
• 
  Edwin Valentin, Sicco Steijaert, Rienk A. Bijlsma, Piero Silva: Approach for modelling of large maritime infrastructure systems. 1577-1585

Logistics, transportation, and distribution: air transportation simulation

• 
  Philippe A. Bonnefoy: Simulating air taxi networks. 1586-1595
• 
  Giuseppe Confessore, Giacomo Liotta, Rosario Grieco: A simulation-based architecture for supporting strategic and tactical decisions in the apron of Rome-Fiumicino Airport. 1596-1605
• 
  Paul T. R. Wang, Leonard A. Wojcik, Scott B. Mayer: Communications, navigation, and surveillance events simulation for the national airspace system. 1606-1612

Logistics, transportation, and distribution: warehousing and material handling

• 
  Ghazi M. Magableh, Manuel D. Rossetti, Scott J. Mason: Modeling and analysis of a generic cross-docking facility. 1613-1620
• 
  Ming Zhou, Kitti Setavoraphan, Zhimin Chen: Conceptual simulation modeling of warehousing operations. 1621-1626
• 
  Chulung Lee, Huei Chuen Huang, Paul Goldsman, Bin Liu, Zhiyong Xu: Reservation storage policy for AS/RS at air cargo terminals. 1627-1632

Logistics, transportation, and distribution: supply chain I

• 
  Rahul R. Bagdia, Zbigniew J. Pasek: Upstream demand projection and performance mapping in supply chains. 1633-1642
• 
  Léa Amandine Deleris, Feryal Erhun: Risk management in supply networks using monte-carlo simulation. 1643-1649
• 
  Sanjay Jain, Swee Leong: Stress testing a supply chain using simulation. 1650-1657

Logistics, transportation, and distribution: supply chain II

• 
  Jack G. A. J. van der Vorst, Seth Tromp, Durk-Jouke van der Zee: A simulation environment for the redesign of food supply chain networks: modeling quality controlled logistics. 1658-1667
• 
  Jayendran Venkateswaran, Young-Jun Son: Information synchronization effects on the stability of collaborative supply chain. 1668-1676
• 
  Srinagesh Gavirneni: Simulation based evaluation of information-centric supply chains. 1677-1683

Logistics, transportation, and distribution: inventory control I

• 
  Loo Hay Lee, Suyan Teng, Ek Peng Chew, Iftekhar A. Karimi, Kong Wei Lye, Peter Lendermann, Yankai Chen, Choon Hwee Koh: Application of multi-objective simulation-optimization techniques to inventory management problems. 1684-1691
• 
  Michael B. Zamperini, Michael Freimer: A simulation analysis of the vari-metric repairable inventory optimization procedure for the U.S. Coast Guard. 1692-1698
• 
  Yoonho Seo, Dong-Pyo Hong, Insu Kim, Donmok Sheen, Taioun Kim, Gyu-Bong Lee: Structure modeling of machine tools and internet-based implementation. 1699-1704

Logistics, transportation, and distribution: inventory control II

• 
  Silvanus T. Enns, Ping Zhu: Optimal lot-sizing in a two-stage system with auto-correlated arrivals. 1705-1711
• 
  Malini Natarajarathinam, Charles R. Sox: Simulating and designing the stochastic inbound inventory routing problem. 1712-1717
• 
  Douglas J. Morrice, Richard A. Valdez, Jack P. Chida Jr., Missan Eido: Discrete event simulation in supply chain planing and inventory control at Freescale Semiconductor, Inc. 1718-1724

Logistics, transportation, and distribution: inventory control III

• 
  Payman Jula, Mark S. Zschocke: Dynamic simulation of a push - pull distribution system. 1725-1732
• 
  Ananth Krishnamurthy, David Claudio: Pull systems with advance demand information. 1733-1742
• 
  Roger Lezhou Zhan, Zuo-Jun Max Shen: Newsvendor problem with pricing: properties, algorithms, and simulation. 1743-1748

Logistics, transportation, and distribution: transportation systems

• 
  Kanna Miwa, Soemon Takakuwa: Flexible module-based modeling and analysis for large-scale transportation-inventory systems. 1749-1758
• 
  Seog-Chan Oh, Soundar R. T. Kumara, Shang-Tae Yee, Jeffrey D. Tew: A family of market-based shipment methodologies for delivery supply chain. 1759-1765
• 
  Sun Jian, Xiaoguang Yang, Yunlong Ma: A new simulation model for expressway weaving sections evaluation. 1766-1772

Web-enabled simulation technologies: grid computing and distributed

• 
  Sugato Bagchi: Simulation of grid computing infrastructure: challenges and solutions. 1773-1780
• 
  Ke Wang, Sheng Xu, Leon F. McGinnis: Time management in distributed factory simulation, a case study using HLA. 1781-1786
• 
  Buquan Liu, Huaimin Wang, Yiping Yao: Data consistency in a large-scale runtime infrastructure. 1787-1794

Web-enabled simulation technologies: web-enabled applications

• 
  André Hanisch, Juri Tolujew, Thomas Schulze: Initialization of online simulation models. 1795-1803
• 
  Jaebok Park, Reinaldo J. Moraga, Luis Rabelo, Jeffrey Dawson, Mario Marin, José A. Sepúlveda: Addressing complexity using distributed simulation: a case study in Spaceport modeling. 1804-1812
• 
  Mathias Röhl, Adelinde Uhrmacher: Flexible integration of XML into modeling and simulation systems. 1813-1820

Risk analysis: credit risk analysis

• 
  Scott Gregory Chastain, Jian Chen: The delivery option in mortgage backed security valuation simulations. 1821-1826
• 
  William J. Morokoff: Simulation analysis of correlation and credit migration models for credit portfolios. 1827-1834
• 
  Rosalind L. Bennett, Daniel A. Nuxoll, Robert A. Jarrow, Michael C. Fu, Huiju Zhang: A loss default simulation model of the federal bank deposit insurance funds. 1835-1843

Risk analysis: simulation methodology for credit risk models

• 
  William J. Morokoff: Simulation of risk and return profiles for portfolios of CDO tranches. 1844-1848
• 
  Achal Bassamboo, Sandeep Juneja, Assaf J. Zeevi: Expected shortfall in credit portfolios with extremal dependence. 1849-1858
• 
  Wanmo Kang, Perwez Shahabuddin: Fast simulation for multifactor portfolio credit risk in the t-copula model. 1859-1868

Risk analysis: risk analysis methodology

• 
  Eduardo Saliby, Jaqueline T. M. Marins, Josete F. dos Santos: Out-of-the-money monte carlo simulation option pricing: the joint use of importance sampling and descriptive sampling. 1869-1875
• 
  Nomesh Bolia, Sandeep Juneja: Function-approximation-based perfect control variates for pricing American options. 1876-1883
• 
  Christiane Lemieux, Jennie La: A study of variance reduction techniques for American option pricing. 1884-1891

Risk analysis: operational risk analysis

• 
  Dennis Kerr Coelho, Mauro Roisenberg, Paulo José de Freitas Filho, Carlos Magno Couto Jacinto: Risk assessment of drilling and completion operations in petroleum wells using a Monte Carlo and a neural network approach. 1892-1897
• 
  Kevin M. Taaffe, Deepak Tirumalasetty: Identifying demand sources that minimize risk for a selective newsvendor. 1898-1905
• 
  Douglas A. Bodner, William B. Rouse, Michael J. Pennock: Using simulation to analyze R&D value creation. 1906-1913

Virtual reality/3D visualization: 3D visualization

• 
  Amir H. Behzadan, Vineet R. Kamat: Visualization of construction graphics in outdoor augmented reality. 1914-1920
• 
  Matthias Fischer, Bengt Mueck, Kiran R. Mahajan, Michael Kortenjan, Christoph Laroque, Wilhelm Dangelmaier: Multi-user support and motion planning of humans and humans driven vehicles in interactive 3D material flow simulations. 1921-1930
• 
  Hyunju Shim, Paul A. Fishwick: Programming using dynamic system modeling VIA a 3D-based multimodeling framework. 1931-1938

Virtual reality/3D visualization: 3D visualization and virtual reality

• 
  Wilhelm Dangelmaier, Kiran R. Mahajan, Daniel Huber, Bengt Mueck: A two-tier method for evaluating alternative policies to support interactive analysis of 3D material flow simulations. 1939-1948
• 
  Steffen Straßburger, Thomas Schulze, Marco Lemessi, Gordon D. Rehn: Temporally parallel coupling of discrete simulation systems with virtual reality systems. 1949-1957
• 
  Gengxun Huang, Kenneth Mark Bryden: Introducing virtual engineering technology into interactive design process with high-fidelity models. 1958-1967

Virtual reality/3D visualization: virtual reality in simulation

• 
  Justice I. Akpan, Roger J. Brooks: Experimental investigation of the impacts of virtual reality on discrete-event simulation. 1968-1975
• 
  Justice I. Akpan, Roger J. Brooks: Practitioners' perception of the impacts of virtual reality on discrete-event simulation. 1976-1984
• 
  Lee A. Belfore II, Prabhu V. Krishnan, Emre Baydogan: Common scene definition framework for constructing virtual worlds. 1985-1992

Six Sigma and simulation: tutorial: Six Sigma and simulation

• 
  Karl Luce, Lucie Trepanier, Fred Ciochetto, Lawrence I. Goldman: Simulation and optimization as effective DFSS tools. 1993-1999

Six Sigma and simulation: Six Sigma and simulation I

• 
  Michael J. Seifert: The use of discrete event simulation in a design for six sigma project. 2000-2004
• 
  Scott J. Bury, Naoko Akiya: Evaluating proposed capital and operational improvements at a marine terminal. 2005-2010
• 
  David M. Ferrin, Martin J. Miller, David Muthler: Lean sigma and simulation, so what's the correlation?: V2. 2011-2015

Six Sigma and simulation: Six Sigma and simulation II

• 
  Martin J. Miller, David M. Ferrin: The application of simulation methodology in a hospital's six sigma project. 2016-2019
• 
  Joseph R. Litko: Sensitivity analysis for robust parameter design experiments. 2020-2025

Business process modeling: supply chains in buisness process modeling

• 
  Soemon Takakuwa, Takako Okada: Simulation analysis of inbound call center of a city-gas company. 2026-2033
• 
  James N. Barnes, Nicholas G. Kalaitzandonakes, Thomas J. Crowe: Using simulation for economic policy analysis in the global agricultural suppy chain. 2034-2041
• 
  Luis Rabelo, Hamidreza Eskandari, Tarek Shalan, Magdy Helal: Supporting simulation-based decision making with the use of AHP analysis. 2042-2051

Business process modeling: business process modeling infrastructure

• 
  Peter Lendermann, Malcolm Yoke-Hean Low, Boon-Ping Gan, Nirupam Julka, Lai Peng Chan, Loo Hay Lee, Simon J. E. Taylor, Stephen John Turner, Wentong Cai, Xiaoguang Wang, Terence Hung, Leon F. McGinnis, Stephen J. Buckley: An integrated and adaptive decision-support framework for high-tech manufacturing and service networks. 2052-2062
• 
  John Everton, Richard D. Stafford: Using workflow business process tools in simulation modeling. 2063-2067
• 
  Lianjun An, Jun-Jang Jeng: On developing system dynamics model for business process simulation. 2068-2077

Simulation-based scheduling: scheduling and control

• 
  Allen G. Greenwood, Sucharith Vanguri, Burak Eksioglu, Pramod Jain, Travis W. Hill, Jeffery Wilson Miller, Clayton Thomas Walden: Simulation optimization decision support system for ship panel shop operations. 2078-2086
• 
  Douglas L. McWilliams: Simulation-based scheduling for parcel consolidation terminals: a comparison of iterative improvement and simulated annealing. 2087-2093
• 
  Soumyadip Ghosh, Tom Ervolina, Young M. Lee, Barun Gupta: Performance analysis of a configured to order business with a variable product configuration recipe. 2094-2101

Simulation-based scheduling: planning

• 
  Amir Messih, Silvanus T. Enns: Planning and control for a warranty service facility. 2102-2106
• 
  Tu Hoang Truong, Brian J. Rothschild, Farhad Azadivar: Decision support system for fisheries management. 2107-2111
• 
  Jon H. Marvel, Mark A. Schaub, Gary R. Weckman: Validating the capacity planning process and flowline product sequencing through simulation analysis. 2112-2118

Simulation-based scheduling: construction industry scheduling

• 
  Jin-Lee Kim, Ralph D. Ellis Jr.: A framework for integration model of resource-constrained scheduling using genetic algorithms. 2119-2126
• 
  Kabeh Vaziri, Linda K. Nozick, Mark A. Turnquist: Resource allocation and planning for program management. 2127-2135

Simulation-based scheduling: factory scheduling

• 
  Kusuma Rojanapibul, Juta Pichitlamken: Assessing risk in a job schedule: integrating a scheduling heuristic and a simulation model to a spreadsheet. 2136-2140
• 
  Jean-Paul M. Arnaout, Ghaith Rabadi: Minimizing the total weighted completion time on unrelated parallel machines with stochastic times. 2141-2147
• 
  Gokhan Metan, Ihsan Sabuncuoglu: A simulation based learning meachanism for scheduling systems with continuous control and update structure. 2148-2156

Semiconductor manufacturing: factory simulation

• 
  Jesus A. Jimenez, Gerald T. Mackulak, John W. Fowler: Efficient simulations for capacity analysis and automated material handling system design in semiconductor wafer fabs. 2157-2161
• 
  José A. Ramírez-Hernández, Heshan Li, Emmanuel Fernandez, Charles R. McLean, Swee Leong: A framework for standard modular simulation in semiconductor wafer fabrication systems. 2162-2171
• 
  Rachel T. Johnson, John W. Fowler, Gerald T. Mackulak: A discrete event simulation model simplification technique. 2172-2176

Semiconductor manufacturing: factory control

• 
  Vikram Ramamurthi, Michael E. Kuhl, Karl D. Hirschman: Analysis of production control methods for semiconductor research and development fabs using simulation. 2177-2185
• 
  Lars Mönch: Simulation-based assessment of order release strategies for a distributed shifting bottleneck heuristic. 2186-2193
• 
  Chin Soon Chong, Malcolm Yoke-Hean Low, Appa Iyer Sivakumar, Kheng Leng Gay: Using simulation based approach to improve on the mean cycle time performance of dispatching rules. 2194-2202

Semiconductor manufacturing: tool control

• 
  Simon Oechsner, Oliver Rose: Scheduling cluster tools using filtered beam search and recipe comparison. 2203-2210
• 
  Todd LeBaron, Joerg Domasche: Optimizing robot algorithms with simulation. 2211-2217
• 
  Walter J. Trybula, Robert L. Wright, Kranthi Mitra Adusumilli, Randy K. Goodall: An analysis: traditional semiconductor lithography versus emerging technology (nano imprint). 2218-2222

Biotechnology/health care: biotechnology and health care

• 
  Tiequan Zhang, Rori Rohlfs, Russell Schwartz: Implementation of a discrete event simulator for biological self-assembly systems. 2223-2231
• 
  Meyer Katzper: Clinical trial factors in a pain transition state model. 2232-2235
• 
  Ali Gerhard Tafazzoli, Stephen D. Roberts, Reid M. Ness, Robert S. Dittus: A comparison of screening methods for colorectal cancer using simulation modeling. 2236-2245

Biotechnology/health care: hospital and outpatient analysis

• 
  Ronald E. Giachetti, Edwin A. Centeno, Martha A. Centeno, Ramakrishnan Sundaram: Assessing the viability of an open access policy in an outpatient clinic: a discrete-event and continuous simulation modeling approach. 2246-2255
• 
  Charles W. Spry, Mark A. Lawley: Evaluating hospital pharmacy staffing and work scheduling using simulation. 2256-2263
• 
  Athula Wijewickrama, Soemon Takakuwa: Simulation analysis of appointment scheduling in an outpatient department of internal medicine. 2264-2273

Simulation education: simulation across discipline

• 
  Charles R. Standridge, Martha A. Centeno, Björn Johansson, Ingolf Ståhl: Introducing simulation across the disciplines. 2274-2279

Simulation education: teaching simulation

• 
  Ingolf Ståhl: Using discrete event simulation in the teaching of decision analysis. 2280-2289
• 
  Mary C. Court, J. L. Pittman, H. T. L. Pham: Should transient analysis be taught? 2290-2296
• 
  Brian W. Hollocks: Assessing simulation learning in higher education. 2297-2303

Simulation education: teaching simulation beyond the traditional classroom

• 
  Durk-Jouke van der Zee, Jannes Slomp: Simulation and gaming as a support tool for lean manufacturing systems: a case example from industry. 2304-2313
• 
  Scott R. Schultz, Christopher D. Geiger: Transitioning students from simulation mechanics to simulation as a process improvement tool: a multimedia case study approach. 2314-2321
• 
  David B. Roggenkamp, Dave Park, Omer Tsimhoni: A simulation model for facilitators of Tony Rizzo's bead game. 2322-2328

Simulation education: simulation as a tool for teaching supply chain concepts

• 
  Jeffrey Adams, Jerry Flatto, L. Leslie Gardner: Combining hands-on, spreadsheet and discrete event simulation to teach supply chain management. 2329-2337
• 
  Stijn-Pieter A. van Houten, Alexander Verbraeck, Sandor Boyson, Thomas Corsi: Training for today's supply chains: an introduction to the distributor game. 2338-2345
• 
  Alexander Verbraeck, Stijn-Pieter A. van Houten: From simulation to gaming: an object-oriented supply chain training library. 2346-2354

Ontologies in simulation: ontologies in simulation

• 
  Perakath C. Benjamin, Kumar V. Akella, Kaiser Malek, Ronald Fernandes: An ontology-driven framework for process-oriented applications. 2355-2363
• 
  Mohamed Fayez, Luis Rabelo, Mansooreh Mollaghasemi: Ontologies for supply chain simulation modeling. 2364-2370
• 
  John A. Miller, Gregory T. Baramidze: Simulation and the semantic web. 2371-2377

General applications B: general applications of simulation I

• 
  Lluís M. Plà-Aragonés: A stochastic model for planning swine facilities. 2378-2384
• 
  Ahmad M. Salah, Paul J. Fields, A. Woodruff Miller: Simulating uncertainty in mass balance modeling for fresh water reservoirs; case study: Deer Creek Reservoir, Utah, USA. 2385-2394
• 
  Renzo Shamey, Xiaoming Zhao, Roger H. Wardman: Numerical simulation of dyebath and the influence of dispersion factor on dye transport. 2395-2399

General applications C: general applications: computer networks

• 
  Martin N. Milkovits: Digital video cluster simulation. 2400-2407
• 
  Song Luo, Gerald A. Marin: Realistic internet traffic simulation through mixture modeling and a case study. 2408-2416
•