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
