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ORCIDWSC 2006: Monterey, CA, USA
- L. Felipe Perrone, Barry Lawson, Jason Liu, Frederick P. Wieland:
Proceedings of the Winter Simulation Conference WSC 2006, Monterey, California, USA, December 3-6, 2006. IEEE Computer Society 2006, ISBN 1-4244-0501-7
Opening session: opening session and keynote address
- Edward A. Lee
:
Discrete event models: getting the semantics right. 1
Introductory tutorials: introduction to simulation
- Paul J. Sanchez:
As simple as possible, but no simpler: a gentle introduction to simulation modeling. 2-10
Introductory tutorials: spreadsheet simulation
- Andrew F. Seila:
Spreadsheet simulation. 11-18
Introductory tutorials: simulation input analysis
- Michael E. Kuhl, Emily K. Lada, Natalie M. Steiger, Mary Ann Flanigan Wagner, James R. Wilson:
Introduction to modeling and generating probabilistic input processes for simulation. 19-35
Introductory tutorials: simulation output analysis
- Marvin K. Nakayama:
Output analysis for simulations. 36-46
Introductory tutorials: simulation experiment design
- Susan M. Sanchez:
Work smarter, not harder: guidelines for designing simulation experiments. 47-57
Introductory tutorials: simulation model constuction
- Averill M. Law:
How to build valid and credible simulation models. 58-66
Introductory tutorials: simulation practice
- Deborah A. Sadowski, David T. Sturrock:
Tips for the successful practice of simulation. 67-72
Introductory tutorials: agent-based simulation
- Charles M. Macal, Michael J. North:
Tutorial on agent-based modeling and simulation part 2: how to model with agents. 73-83
Introductory tutorials: parallel and distributed simulation
- Kalyan S. Perumalla:
Parallel and distributed simulation: traditional techniques and recent advances. 84-95
Advanced tutorials: Bayesian methods
- Stephen E. Chick:
Bayesian ideas and discrete event simulation: why, what and how. 96-105
Advanced tutorials: advanced design of experiments
- Jack P. C. Kleijnen:
White noise assumptions revisited: regression metamodels and experimental designs in practice. 107-117
Advanced tutorials: inside simulation software
- Thomas J. Schriber, Daniel T. Brunner:
Inside discrete-event simulation software: how it works and why it matters. 118-128
Advanced tutorials: random variate generation
- Josef Leydold, Wolfgang Hörmann:
Black-box algorithms for sampling from continuous distributions. 129-136
Advanced tutorials: rare event simulation
- Pierre L'Ecuyer, Valérie Demers, Bruno Tuffin:
Splitting for rare-event simulation. 137-148
Advanced tutorials: model composability
- Hessam S. Sarjoughian:
Model composability. 149-158
Advanced tutorials: mathematics of simulation optimization
- Sujin Kim:
Gradient-based simulation optimization. 159-167
Advanced tutorials: advanced output analysis
- Christos Alexopoulos:
A comprehensive review of methods for simulation output analysis. 168-178
Advanced tutorials: ranking and selection
- Kirk C. Benson, David Goldsman, Amy R. Pritchett:
Ranking and selection procedures for simulation. 179-185
Analysis methodology a: steady-state simulations
- Hernan P. Awad, Peter W. Glynn:
On an initial transient deletion rule with rigorous theoretical support. 186-191 - Ming-Hua Hsieh:
A new approach for parallel steady-state simulations. 192-197 - Emily K. Lada, James R. Wilson:
Performance evaluation of spectral procedures for simulation analysis. 198-207
Analysis methodology a: optimization, importance sampling, and ranking and selection
- Raghu Pasupathy:
On choosing parameters in retrospective-approximation algorithms for simulation-optimization. 208-215 - Achal Bassamboo, Sandeep Juneja:
Optimal resource allocation in two stage sampling of input distributions. 216-221 - Douglas J. Morrice, John C. Butler:
Ranking and selection with multiple "targets". 222-230
Analysis methodology a: simulation and applications
- Seong-Hee Kim:
Monitoring variability of autocorrelated processes using standardized time series variance estimators. 231-237 - Lei Zhao, Suvrajeet Sen:
A comparison of sample-path-based simulation-optimization and stochastic decomposition for multi-location transshipment problems. 238-245 - Soumyadip Ghosh, Sandeep Juneja:
Computing worst-case tail probabilities in credit risk. 246-254
Analysis methodology a: optimization I
- Raghu Pasupathy, Shane G. Henderson:
A testbed of simulation-optimization problems. 255-263 - Eunji Lim, Peter W. Glynn:
Simulation-based response surface computation in the presence of monotonicity. 264-271 - Wai Kin Chan, Lee W. Schruben:
Response gradient estimation using mathematical programming models of discrete-event system sample paths. 272-278
Analysis methodology a: selection procedures I
- Stephen E. Chick, Noah Gans:
Simulation selection problems: overview of an economic analysis. 279-286 - Marvin K. Nakayama:
Selection and multiple-comparison procedures for regenerative systems. 287-293 - Loo Hay Lee, Ek Peng Chew, Suyan Teng:
Integration of statistical selection with search mechanism for solving multi-objective simulation-optimization problems. 294-303
Analysis methodology a: optimization II
- Anna Persson, Henrik Grimm, Amos H. C. Ng:
On-line instrumentation for simulation-based optimization. 304-311 - Geng Deng, Michael C. Ferris:
Adaptation of the UOBYQA algorithm for noisy functions. 312-319 - Mohammed Shahid Abdulla, Shalabh Bhatnagar:
SPSA algorithms with measurement reuse. 320-328
Analysis methodology a: estimation and input modeling
- James M. Calvin:
Experimental evaluation of integrated path estimators. 329-332 - E. Jack Chen, W. David Kelton:
Empirical evaluation of data-based density estimation. 333-341 - Jin Wang, Chunlei Liu:
Generating multivariate mixture of normal distributions using a modified Cholesky decomposition. 342-347
Analysis methodology a: selection procedures II
- Shing Chih Tsai, Barry L. Nelson:
Combined ranking and selection with control variates. 348-355 - Roy R. Creasey Jr., K. Preston White:
Comparison of limit standards using a sequential probability ratio test. 356-359 - E. Jack Chen:
Performance evaluations of comparison-with-a-standard procedures. 360-368
Analysis methodology a: experiment design
- Bruce E. Ankenman, Russell C. H. Cheng, Susan M. Lewis:
A polytope method for estimating factor main effects efficiently. 369-375 - Russell R. Barton:
A two-phase maxi-min algorithm for forward-inverse experiment design. 376-381 - Hua Shen, Hong Wan:
A hybrid method for simulation factor screening. 382-389
Analysis methodology b: estimation, queueing, and optimization
- Jamie R. Wieland, Bruce W. Schmeiser:
Stochastic gradient estimation using a single design point. 390-397 - Victor F. Nicola, Tatiana S. Zaburnenko:
Efficient simulation of population overflow in parallel queues. 398-403 - Sara Jian Oon, Loo Hay Lee:
The impact of ordinal on response surface methodology. 406-413
Health care: utilizing health resources
- Brian T. Denton, Ahmed S. Rahman, Heidi Nelson, Angela C. Bailey:
Simulation of a multiple operating room surgical suite. 414-424 - Athula Wijewickrama, Soemon Takakuwa:
Simulation analysis of an outpatient department of internal medicine in a university hospital. 425-432 - Sarah M. Ballard, Michael E. Kuhl:
The use of simulation to determine maximum capacity in the surgical suite operating room. 433-438
Health care: emergency department operations
- Andrew M. Hay, Edwin Valentin, Rienk A. Bijlsma:
Modeling emergency care in hospitals: a paradox - the patient should not drive the process. 439-445 - Murat M. Gunal, Michael Pidd:
Understanding accident and emergency department performance using simulation. 446-452 - Toni Ruohonen, Pekka Neittaanmäki, Jorma Teittinen:
Simulation model for improving the operation of the emergency department of special health care. 453-458
Health care: health policy analysis
- Georgina R. Hughes, Christine S. M. Currie, Elizabeth L. Corbett:
Modeling tuberculosis in areas of high HIV prevalence. 459-465 - Sally C. Brailsford, Jennifer Sykes, Paul R. Harper:
Incorporating human behavior in healthcare simulation models. 466-472 - Ruth Davies:
Use of simulation to determine resource requirements for end-stage renal failure. 473-477
Homeland security/emergency response: distributed simulation for homeland security
- Donald D. Dudenhoeffer, May R. Permann, Milos Manic:
CIMS: a framework for infrastructure interdependency modeling and analysis. 478-485 - Frank Fiedrich:
An HLA-based multiagent system for optimized resource allocation after strong earthquakes. 486-492 - Sanjay Jain, Charles R. McLean:
A concept prototype for integrated gaming and simulation for incident management. 493-500
Homeland security/emergency response: medical system response simulation
- Lisa Patvivatsiri:
A simulation model for bioterrorism preparedness in an emergency room. 501-508 - Kevin M. Taaffe, Matthew Johnson, Desiree Steinmann:
Improving hospital evacuation planning using simulation. 509-515 - Luiz Augusto Gago Franzese, Marcelo Moretti Fioroni, Luis Eduardo Pinheiro, João Batista Eustáchio Soares:
Allocating field service teams with simulation in energy/utilities environment. 516-520
Homeland security/emergency response: transportation security simulation
- Junko Sekine, Enrique Campos-Náñez, John R. Harrald, Hernán G. Abeledo:
A simulation-based approach to trade-off analysis of port security. 521-528 - Diane Wilson, Eric K. Roe, S. Annie So:
Security Checkpoint Optimizer (SCO): an application for simulating the operations of airport security checkpoints. 529-535 - David M. Nicol, Rose Tsang, Heidi R. Ammerlahn, Michael M. Johnson:
Detection of nuclear material at border crossings using motion correlation. 536-544
Homeland security/emergency response: group dynamics simulation
- Ameya Shendarkar, Karthik Vasudevan, Seungho Lee, Young-Jun Son:
Crowd simulation for emergency response using BDI agent based on virtual reality. 545-553 - Qing Gu, David Mendonça:
Group information foraging in emergency response: an illustration incorporating discrete-event simulation. 554-561 - Ignacio J. Martinez-Moyano, Eliot H. Rich, Stephen H. Conrad, David F. Andersen:
Modeling the emergence of insider threat vulnerabilities. 562-568
Virtual reality and simulation: virtual reality for simulation
- Yen-Chun Lin, Chen-Chuan Pan, Jhih-En Kuo:
Multiuser interior design over the internet. 569-575 - Chun-Hong Huang, Hui-Huang Hsu, Timothy K. Shih, Rong-Chi Chang:
A VR-based hyper interaction platform. 576-582 - Jiung-yao Huang, Ming-Chih Tung, Ji-Jen Wu, Shu-Shen Wai, Chung-Hsien Tsai:
Use of the analytical system as the decision support system for the HLA joint training environment. 583-590
Business process modeling: business process modeling techniques and issues
- Anthony Waller, Martin Clark, Les Enstone:
L-SIM: simulating BPMN diagrams with a purpose built engine. 591-597 - Mohsen Modarres:
Predicting and improving complex business processes: values and limitations of modeling and simulation technologies. 598-603 - Pierre L'Ecuyer, Eric Buist:
Variance reduction in the simulation of call centers. 604-613
Business process modeling: supply chain simulation
- Hongwei Ding, Changrui Ren, Wei Wang, Jin Dong:
Applying simulation in a supply chain transformation case. 614-620 - Young M. Lee:
Simulating impact of available-to-promise generation on supply chain performance. 621-626 - Rong Liu, Akhil Kumar, Alan J. Stenger:
Simulation results for supply chain configurations based on information sharing. 627-635
Business process modeling: business transformation
- Bala Ramachandran, Kaori Fujiwara, Makoto Kano, Akio Koide, Jay Benayon:
Business process transformation patterns & the business process transformation wizard. 636-641 - Jay April, Marco Better, Fred W. Glover, James P. Kelly, Manuel Laguna:
Enhancing business process management with simulation optimization. 642-649 - Jin Dong, Hongwei Ding, Changrui Ren, Wei Wang:
IBM SmartSCOR - a SCOR based supply chain transformation platform through simulation and optimization techniques. 650-659
Business process modeling: using system dynamics as an element of hybrid simulations
- Humberto R. Alvarez, Dario Solis, Arnoldo R. Cano S., Serge N. Sala-Diakanda:
System dynamics simulation of the expansion of the Panama Canal. 660-666 - Mario Marin, Yanshen Zhu, Phillip T. Meade, Melissa Sargent, Julie Warren:
System dynamics and agent-based simulations for workforce climate. 667-671 - José A. Sepúlveda, Luis Rabelo, Haluk M. Akin, Yanshen Zhu:
Modeling the effectiveness of underwater sonar. 672-679
General applications: general applications
- Hu Bin, Dong Shengping:
Qualitative simulation for manager selection decision-making based on managerial self-efficacy. 680-687 - Scott R. Schultz:
A glass float line simulation: modeling methodology and applications. 688-693 - Dhananjai Madhava Rao, Philip A. Wilsey:
Applying parallel, dynamic-resolution simulations to accelerate VLSI power estimation. 694-702
Risk analysis: pricing American options
- Gang Zhao, Yakun Zhou, Pirooz Vakili:
A new efficient simulation strategy for pricing path-dependent options. 703-710 - Huiju Zhang, Michael C. Fu:
Applying model reference adaptive search to American-style option pricing. 711-718 - Samuel Ehrlichman, Shane G. Henderson:
American options from MARS. 719-726
Risk analysis: risk analysis
- Dalton F. Andrade, Pedro Alberto Barbetta, Paulo José de Freitas Filho, Ney A. de Mello Zunino, Carlos Magno Couto Jacinto:
Using copulas in risk analysis. 727-732 - Vadim Lesnevski, Barry L. Nelson, Jeremy Staum:
An adaptive procedure for estimating coherent risk measures based on generalized scenarios. 733-740
Risk analysis: efficient simulation for risk management
- Achal Bassamboo, Sachin Jain:
Efficient importance sampling for reduced form models in credit risk. 741-748 - Michael B. Gordy, Sandeep Juneja:
Efficient simulation for risk measurement in portfolio of CDOS. 749-756 - Jose H. Blanchet, Jingchen Liu:
Efficient simulation for large deviation probabilities of sums of heavy-tailed increments. 757-764
Risk analysis: stochastic programming in risk analysis
- Susan M. Sanchez, R. Kevin Wood:
The "BEST" algorithm for solving stochastic mixed integer programs. 765-773 - Shane S. Drew, Tito Homem-de-Mello:
Quasi-Monte Carlo strategies for stochastic optimization. 774-782 - Amit Partani, David P. Morton, Ivilina Popova:
Jackknife estimators for reducing bias in asset allocation. 783-791
Modeling methodology a: conceptual modeling
- Stewart Robinson:
Conceptual modeling for simulation: issues and research requirements. 792-800 - Cathal Heavey, John Ryan:
Process modelling support for the conceptual modelling phase of a simulation project. 801-808 - Ming Zhou, Qun Zhang, Zhimin Chen:
What can be done to automate conceptual simulation modeling? 809-814
Modeling methodology a: DEVS modeling
- Hui Shang, Gabriel A. Wainer:
A simulation algorithm for dynamic structure DEVS modeling. 815-822 - Alexander Scott Campbell, Gabriel A. Wainer:
Applying DEVS modeling for discrete event multiple model control of a time varying plant. 823-831 - Adelinde M. Uhrmacher, Jan Himmelspach, Mathias Röhl, Roland Ewald:
Introducing variable ports and multi-couplings for cell biological modeling in DEVS. 832-840
Modeling methodology a: simulation methodologies
- Emmet R. Beeker III, Ernest H. Page:
A case study of the development and use of a mana-based federation for studying U.S. border operations. 841-847 - Roland Ewald, Jan Himmelspach, Adelinde M. Uhrmacher:
A non-fragmenting partitioning algorithm for hierarchical models. 848-855 - David W. Mutschler:
Enhancement of memory pools toward a multi-threaded implementation of the joint integrated mission model (JIMM). 856-862
Modeling methodology a: panel: simulation project life-cycle
- Robert G. Sargent, Richard E. Nance, C. Michael Overstreet, Stewart Robinson, Jayne Talbot:
The simulation project life-cycle: models and realities. 863-871
Modeling methodology a: metamodeling
- Wouter Hendrickx, Dirk Gorissen, Tom Dhaene:
Grid enabled sequential design and adaptive metamodeling. 872-881 - Husam Hamad:
A new metric for measuring metamodels quality-of-fit for deterministic simulations. 882-888 - Shohei Yamane, Toru Ishida:
Meta-level control architecture for massively multiagent simulations. 889-896
Modeling methodology a: formal methods and validation
- Mamadou K. Traoré:
Analyzing static and temporal properties of simulation models. 897-904 - Jurgen Martens, Karl Pauwels, Ferdi Put:
A neural network approach to the validation of simulation models. 905-910 - Leonardo Chwif, Paulo Sérgio Muniz Silva, Lúcio Mitio Shimada:
A prescriptive technique for V&V of simulation models when no real-life data are available. 911-918
Modeling methodology a: agent based simulation
- Toshihiro Takahashi, Hideyuki Mizuta:
Efficient agent-based simulation framework for multi-node supercomputers. 919-925 - Maria Hybinette, Eileen T. Kraemer, Yin Xiong, Glenn Matthews, Jaim Ahmed:
SASSY: a design for a scalable agent-based simulation system using a distributed discrete event infrastructure. 926-933