WSC 2005:
Orlando,
FL,
USA
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
Introductory tutorials:
agent-based modeling
Introductory tutorials:
introduction to simulation
Poster session:
presentation only
- Samuel Frimpong Boateng:
The dynamics of multinational capital structure and macroeconomic conditions.
20
- 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
- Hongmei Chi, Edward L. Jones:
Assesssing uncertainty in software reliability via quasi-monte carlo methods.
22
- Stephan Eidenbenz:
Los Alamos communication network simulation.
23
- Ryo Fukuhara, Tomoharu Matsunaka, Kazutaka Kitamori:
Automatic generation of simulation program by XML-prolog.
24
- 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
- Jimmy Huff, Silvanus J. Udoka:
Telerobotic systems for restoration work in structured hazardous environments.
26
- David M. Kunzman, Terry Wilmarth, Laxmikant V. Kalé:
Parallel VHDL simulation.
27
- Yohei Miyazaki, Keiko Yukawa, Kazutaka Kitamori:
Numerical calculation of electric fields with charge densities expressed using spline functions.
27
- Jairo Rafael Montoya Torres, Stéphane Dauzère-Pérès, Hélène Marian, Leon Vermariën:
Simulation-optimization for transportation in a unified automated material handling systems.
29
- John R. Podlena, Keith Joshi:
Optimization of airport taxiways using fast time simulation.
30
- Desiree Steinmann, Matthew Johnson, Kevin M. Taaffe, Lindsay Becker:
Methodology for hospital evacuation planning.
31
- Tim B. Swartz:
Importance sampling with skew-normal distributions.
32
- Ernest Yat-Kwan Wong:
How to leverage computer simulation in condition-based maintenance.
33
Introductory tutorials:
model validation and verification
- Averill M. Law:
How to build valid and credible simulation models.
24-32
Introductory tutorials:
spreadsheet simulation
Simulation case studies C:
bio health systems
- Stephen Hall:
Predicting the effect of process time variability on annual production in a cell culture manufacturing facility.
34
- J. Jaime Caro, Alexandra Ward, Jörgen Möller:
Target II: the first discrete event simulation of diabetes and its complications.
35
- Steven Naron:
Scaling and using large pandemic agent-based models.
36
Simulation case studies C:
manufacturing applications
Simulation case studies C:
lean manufacturing
Introductory tutorials:
input modeling
Simulation case studies C:
transporation systems
Simulation case studies C:
service systems
Simulation case studies C:
management cost systems
- Irina Warthen, Kris Arvind:
Probabilistic simulation analysis of risk potential in cost management programs.
48
- Robert Yerex:
Simulation model for analyzing effects of employment tax incentive programs.
49
Simulation case studies C:
business process applications
Simulation case studies C:
case study applications
- David M. Northcutt:
Using monte carlo simulation to choose among alternative statistical definitions.
53
- Chris Robson:
Simulating customer ownership patterns for technology goods in the mature market phase.
54
- Darrell W. Starks:
When things go wrong.
55
Introductory tutorials:
successful simulation practice
Simulation case studies D:
modeling internet applications
Introductory tutorials:
simulation debugging
Simulation case studies B:
semiconductor and petroleum applications
Vendor track A:
Wolverine and Incontrol-Falcon
Introductory tutorials:
design of simulation experiments
- Susan M. Sanchez:
Work smarter, not harder: guidelines for designing simulation experiments.
69-82
Vendor track A:
Flexsim and Incontrol ED - defense solution
Vendor track A:
micro analysis and CreateASoft
- Hosni Adra:
CreateASoft Inc.: Simcad Pro 7.1.
72
- Ben Archer:
Micro analysis & design: Micro Saint Sharp.
73
Vendor track A:
Imagine That Inc.
Vendor track A:
Production Modeling and Decisioneering Inc.
Vendor track A:
Visual 8
- Kim Hindle:
Visual8 Corporation: SIMUL8-Planner.
78
Vendor track B:
Palisade Corporation and Incontrol-ShowFlow
Vendor track B:
Rockwell Software and XJ Technologies
Introductory tutorials:
simulation optimization
Vendor track B:
Incontrol ED
- Fred Jansma:
Incontrol Enterprise Dynamics: airport/rail solutions.
85
- Fred Jansma:
Incontrol Enterprise Dynamics: production/logistics solutions.
86
Vendor track B:
Rockwell Software and Brooks Automation
Advanced tutorials:
optimization of logistics simulations
- Warren B. Powell:
The optimizing-simulator: merging simulation and optimization using approximate dynamic programming.
96-109
Advanced tutorials:
random number generation
Advanced tutorials:
input modeling
- Shane G. Henderson:
Should we model dependence and nonstationarity, and if so how?
120-129
Advanced tutorials:
verification,
validation,
and accreditation
Advanced tutorials:
modeling call centers
Advanced tutorials:
network traffic modeling
Advanced tutorials:
inside simulation software
Advanced tutorials:
selection of the best
Advanced tutorials:
output analysis
Tribute to Jack Kleijnen:
metamodels
Tribute to Jack Kleijnen:
output analysis
Modeling methodology A:
DEVS and multi-formalism modeling
Modeling methodology A:
plenary:
simulation and or for combined practical optimization
Modeling methodology A:
modeling for simulation
Modeling methodology A:
modeling specifications and frameworks
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
- 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
Modeling methodology A:
distributed methods
- 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
Modeling methodology A:
innovative methodologies in M&S for people and good flow
Modeling methodology B:
estimation in simulation experiments
Modeling methodology B:
rare events simulation I
Modeling methodology B:
rare events simulation II
Modeling methodology B:
plenary:
simulation problems and models
Modeling methodology B:
is simulation model solving,
mission critical?
Modeling methodology B:
modeling call centers
Modeling methodology B:
modeling and simulation of computer systems
Modeling methodology B:
simulation languages
Modeling methodology B:
language modeling improvements
Analysis methodology A:
rare-event simulation
Analysis methodology A:
simulation optimization:
selection procedures I
Analysis methodology A:
simulation optimization:
selection procedures II
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
Analysis methodology A:
steady-state output analysis
Analysis methodology A:
analysis methodlogy reflection
Analysis methodology A:
simulation optimization I
Analysis methodology A:
simulation optimization II
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
Homeland security/emergency response:
simulation for emergency management
Homeland security/emergency response:
simulation for response
Homeland security/emergency response:
medical response simulation
Homeland security/emergency response:
physical security simulation
Agent based modeling:
new approaches to agent based modeling
Agent based modeling:
agent applications of coevolutionary dynamics
Agent based modeling:
agent based modeling
Agent based modeling:
agent-based simulation in AI planning
Military applications:
military keynote
Military applications:
data farming agent models related to military questions
Military applications:
issues in human performance modeling for military systems
Military applications:
advance military modeling I
Military applications:
effects-based military modelings
Military applications:
distributed modeling for military applications
- Gene Wagenbreth, Ke-Thia Yao, Dan Davis, Robert F. Lucas, Thomas 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
Military applications:
advance military modeling II
Aerospace and military applications:
aerospace M&S applications
Aerospace and military applications:
simulation in aerospace I:
hardware and man in the loop
Aerospace and military applications:
simulation in aerospace II:
distributed simulations
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
Manufacturing applications:
high volume material flow
Manufacturing applications:
facilities planning & work cell design
Manufacturing applications:
production analysis & constraints
Manufacturing applications:
production policy & cost control
Manufacturing applications:
simulation-data interface & integration
Manufacturing applications:
simuation and control
Construction engineering and project management:
construction engineering I
Construction engineering and project management:
construction engineering II
Construction engineering and project management:
construction engineering III
Logistics,
transportation,
and distribution:
maritime simulation
Logistics,
transportation,
and distribution:
air transportation simulation
Logistics,
transportation,
and distribution:
warehousing and material handling
Logistics,
transportation,
and distribution:
supply chain I
Logistics,
transportation,
and distribution:
supply chain II
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
Logistics,
transportation,
and distribution:
inventory control III
Logistics,
transportation,
and distribution:
transportation systems
Web-enabled simulation technologies:
grid computing and distributed
Web-enabled simulation technologies:
web-enabled applications
Risk analysis:
credit risk analysis
Risk analysis:
simulation methodology for credit risk models
Risk analysis:
risk analysis methodology
Risk analysis:
operational risk analysis
Virtual reality/3D visualization:
3D visualization
Virtual reality/3D visualization:
3D visualization and virtual reality
Virtual reality/3D visualization:
virtual reality in simulation
Six Sigma and simulation:
tutorial:
Six Sigma and simulation
Six Sigma and simulation:
Six Sigma and simulation I
Six Sigma and simulation:
Six Sigma and simulation II
Business process modeling:
supply chains in buisness process modeling
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
Simulation-based scheduling:
planning
Simulation-based scheduling:
construction industry scheduling
Simulation-based scheduling:
factory scheduling
Semiconductor manufacturing:
factory simulation
Semiconductor manufacturing:
factory control
Semiconductor manufacturing:
tool control
Biotechnology/health care:
biotechnology and health care
Biotechnology/health care:
hospital and outpatient analysis
Simulation education:
simulation across discipline
Simulation education:
teaching simulation
Simulation education:
teaching simulation beyond the traditional classroom
Simulation education:
simulation as a tool for teaching supply chain concepts
Ontologies in simulation:
ontologies in simulation
General applications B:
general applications of simulation I
General applications C:
general applications:
computer networks
General applications A:
general applications of simulation II
General applications D:
general applications III
PhD colloquium:
PhD colloquium
Vendor track B:
ProModel Corp. and Automation Associates Inc.
Simulation case studies D:
goverment and military case studies
Simulation case studies A:
simulation transformed company thinking
- Mansour Toloo:
Discrete event simulation & modeling of the transportation element within a supply chain (SC).
62
- Malcolm Beaverstock:
Integrating simulation with corporate initiatives.
63
- James R. Ashby:
How General Motors used simulators to save time and money creating value for our customers.
64
Poster session:
papers included
- Robert G. Bartholet, David C. Brogan, Paul F. Reynolds Jr.:
The computational complexity of component selection in simulation reuse.
2472-2481
- Richard G. Born:
Teaming discrete-event simulation and geographic information systems to solve a temporal/spatial business problem.
2482-2491
- Joseph C. Carnahan, Paul F. Reynolds Jr., David C. Brogan:
Simulation-specific characteristics and software reuse.
2492-2499
- Roy T. H. Chin, Stijn-Pieter A. van Houten, Alexander Verbraeck:
Towards a simulation and visualization portal to support multi-actor decision making in mainports.
2500-2505
- Shih Y. Chin, Heráclito L. J. Pontes, Arthur J. V. Porto:
Retrieving process analysis in a parts distribution center: a case study of manual trolley fleet substitution.
2506-2512
- John J. DiLeo:
FreeSML: delivering on the open-source simulation language promise.
2513-2523
- Marcelo Tenório, Silvia Nassar, Paulo Freitas, Carlos Magno:
Recognition of continuous probability models.
2524-2531
- Per M. Gustavsson, Tomas Planstedt:
The road towards multi-hypothesis intention simulation agents architecture fractal information fusion modeling.
2532-2541
- Husam Hamad, Sami Al-Hamdan:
Two new subjective validation methods using data displays.
2542-2545
- Elisangela Mieko Kanacilo, Alexander Verbraeck:
A distributed multi-formalism simulation to support rail infrastructure control design.
2546-2553
- Fei Liu, Ming Yang, Zicai Wang:
Study on simulation credibility metrics.
2554-2560
- Longjun Liu, Wayne W. Wakeland:
Does more uniformly distributed sampling generally lead to more accurate prediction in computer experiments?
2561-2571
- Ming Lu, Hoi-Ching Lam:
Optimized concrete delivery scheduling using combined simulation and genetic algorithms.
2572-2580
- Marcelo Moretti Fioroni, Luiz Augusto Gago Franzese, Naguissa Yuri Hiramatsu Pereira, Marcelo Neder Machado:
Railroad infrastructure simulator.
2581-2584
- Qiming Ruan, Yuejin Tan, Renjie He, Yingwu Chen:
Simulation-based scheduling for photo-reconnaissance satellite.
2585-2589
- Hideyuki Mizuta, Fusashi Nakamura:
Agent-based simulation of enterprise communication network.
2590-2594
- Ana K. Miranda, David F. Muñoz:
DSS to manage ATM cash under periodic review with emergency orders.
2595-2599
- Jorge R. Ramos, Vernon Rego:
Feature-based generators for time series data.
2600-2607
- Jai Thomas, Mitchel J. Keil, Jorge Rodriguez:
Reducing lead time for modeling in CAD simulation softwares.
2608-2612
- Omer Tsimhoni, Changxu Wu:
Learning simulation through team projects.
2613-2618
- Guilherme E. Vieira, Osmar César Júnior:
A conceptual model for the creation of supply chain simulation models.
2619-2627
- Sara A. Curin, Jeremy S. Vosko, Eric W. Chan, Omer Tsimhoni:
Reducing service time at a busy fast food restaurant on campus.
2628-2635
- Rodney B. Wallace, Robert Saltzman:
Comparing skill-based routing call center simulations using C programming and arena models.
2636-2644
- Wu Zhizhou, Sun Jian, Yang Xiaoguang:
Calibration of VISSIM for shanghai expressway using genetic algorithm.
2645-2648
- Garrett R. Yaun, David W. Bauer, Christopher D. Carothers:
Sharing event data in optimistically scheduled multicast applications.
2649-2656
- Marcelo Moretti Fioroni, Luiz Augusto Gago Franzese, Edson Luis M. Harano, Benedito Pedro Costhek, João Bosco Mendes, Joeli Cuzzuol, Juliana de Souza Lima, Ricardo Baeta Santos, Robson Jacinto Coelho, Adriano César Silva, Odair José Kimsr:
Simulation based decision for steelmaking operations challenges.
2657-2662
- Murat M. Gunal, Michael Pidd:
Simulation modelling for performance measurement in healthcare.
2663-2668
- Amit Jindal, Rajkumar Khandelwal:
System centric mission critical simulation model for MES automation.
2669-2673
- Carley Jurishica:
Emergency department simulations: medicine for building effective models.
2674-2680
- Alexander Komashie, Ali Mousavi:
Modeling emergency departments using discrete event simulation techniques.
2681-2685
- Abdullah Konak, Sadan Kulturel-Konak:
Simulation optimization using tabu search: an emperical study.
2686-2692
- Chen Liu, Qun Li, Weiping Wang, Yi-fan Zhu:
Extend SRML schema based on DEVS: an executable DEVS language.
2693-2699
- Katerina Asdre, Stavros D. Nikolopoulos:
P-tree structures and event horizon: efficient event-set implementations.
2700-2709
- Wheyming Tina Song, Wenchi Chiu, David Goldsman:
Importance sampling techniques for estimating the bit error rate in digital communication systems.
2710-2717
Titans of simulation
- Jack P. C. Kleijnen:
Forty years of statistical design and analysis of simulation experiments (DASE).
1-17
- Claude Dennis Pegden:
Future directions in future directions in simulation modeling.
1-35
Copyright © Mon Nov 2 21:22:04 2009
by Michael Ley (ley@uni-trier.de)
