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ORCIDWSC 2003: New Orleans, Louisiana, USA
- Stephen E. Chick, Paul J. Sanchez, David M. Ferrin, Douglas J. Morrice:
Proceedings of the 35th Winter Simulation Conference: Driving Innovation, New Orleans, Louisiana, USA, December 7-10, 2003. IEEE Computer Society 2003, ISBN 0-7803-8132-7
Keynote Address
- Stephen Shapiro:
Only wet babies like change. 3
Introductory Tutorials
- John S. Carson II:
Introduction to simulation: introduction to modeling and simulation. 7-13 - Lawrence Leemis:
Input modeling: input modeling. 14-24 - Andrew F. Seila:
Spreadsheet simulation: spreadsheet simulation. 25-30 - Deborah A. Sadowski, Mark R. Grabau:
Tips for successful practice of simulation: tips for successful practice of simulation. 31-36 - Robert G. Sargent:
Verification and validation: verification and validation of simulation models. 37-48 - Marvin K. Nakayama:
Output analysis: analysis of simulation output. 49-58 - W. David Kelton, Russell R. Barton:
Experimental design for simulation: experimental design for simulation. 59-65 - Averill M. Law:
Designing a simulation study: how to conduct a successful simulation study. 66-70 - Jay April, Fred W. Glover, James P. Kelly, Manuel Laguna:
Simulation-based optimization: practical introduction to simulation optimization. 71-78
Advanced Tutorials
- Pierre L'Ecuyer:
Quasi-monte carlo methods in practice: quasi-monte carlo methods for simulation. 81-89 - Shane G. Henderson:
Input modeling: input model uncertainty: why do we care and what should we do about it? 90-100 - Seong-Hee Kim, Barry L. Nelson:
Selecting the best system: selecting the best system: theory and methods. 101-112 - Thomas J. Schriber, Daniel T. Brunner:
Inside simulation software: inside discrete-event simulation software: how it works and why it matters. 113-123 - Richard M. Fujimoto:
Parallel simulation: distributed simulation systems. 124-134 - Vijay Mehrotra, Jason Fama:
Call center simulations: call center simulation modeling: methods, challenges, and opportunities. 135-143 - Roberto Szechtman:
Control variate techniques for monte carlo simulation: control variates techniques for monte carlo simulation. 144-149 - Osman Balci:
Verification, validation, and certification of modeling and simulation applications: verification, validation, and certification of modeling and simulation applications. 150-158 - Lee Schruben, Theresa M. Roeder, Wai Kin Chan, Paul Hyden, Michael Freimer:
Advanced event scheduling methodology: advanced event scheduling methodology. 159-165
Software/Modelware Tutorials a
- Averill M. Law, Michael G. McComas:
ExpertFit distribution-fitting software: how the ExpertFit distribution-fitting software can make your simulation models more valid. 169-174 - Charles R. Harrell, Rochelle N. Price:
Simulation modeling using promodel technology: simulation modeling using promodel technology. 175-181 - Wendy K. Bloechle, Daniel W. Schunk:
Micro saint sharp simulation software: micro saint sharp simulation software. 182-187 - David Krahl:
Extend: an interactive simulation tool: extend: an interactive simulation tool. 188-196 - William B. Nordgren:
Flexible simulation (Flexsim) software: Flexsim simulation environment. 197-200 - Matthew W. Rohrer:
Maximizing simulation ROI with AutoMod: maximizing simulation ROI with AutoMod. 201-209 - Vivek Bapat, David T. Sturrock:
The arena product family: enterprise modeling solutions: the arena product family: enterprise modeling solutions. 210-217 - Richard A. Kilgore:
Object-oriented simulation with SML and Silk in Java and .Net: object-oriented simulation with SML and silk in .Net and Java. 218-224 - Jon H. Weyland, Michael J. Engiles:
Towards simulation-based business process management: towards simulation-based business process management. 225-227
Software/Modelware Tutorials b
- Edward J. Williams, Ali K. Gunal:
Supply chain simulation software I: supply chain simulation and analysis with SimFlex? 231-237 - Andrew J. Siprelle, David J. Parsons, Robin J. Clark:
Supply chain simulation software II: benefits of using a supply chain simulation tool to study inventory allocation. 238-245
Risk Analysis
- Thomas N. Herzog, Graham Lord:
State of the art tutorial I: simulation modeling for finance and insurance: applications of simulation models in finance and insurance. 249-257 - Jeremy Staum:
State of the art tutorial II: simulations for financial engineering: efficient simulations for option pricing. 258-266 - Paul Glasserman, Jingyi Li:
New simulation methodology for risk analysis: importance sampling for a mixed Poisson model of portfolio credit risk. 267-275 - Zhi Huang, Perwez Shahabuddin:
New simulation methodology for risk analysis: rare-event, heavy-tailed simulations using hazard function transformations, with applications to value-at-risk. 276-284 - N. K. Chidambaran:
New simulation methodology for risk analysis: genetic programming with monte carlo simulation for option pricing. 285-292 - Lawrence I. Goldman, Ethan Evans-Hilton, Hilary L. Emmett:
Risk analysis software tutorial I: crystal ball for Six Sigma tutorial. 293-300 - Jay April, Fred W. Glover, James P. Kelly:
Risk analysis software tutorial II: OptFolio - a simulation optimization system for project portfolio planning. 301-309 - Jeremy Staum, Samuel Ehrlichman, Vadim Lesnevski:
New simulation methodology for finance: work reduction in financial simulations. 310-318 - Athanassios N. Avramidis, Pierre L'Ecuyer, Pierre-Alexandre Tremblay:
New simulation methodology for finance: efficient simulation of gamma and variance-gamma processes. 319-326 - Martin B. Haugh:
New simulation methodology for finance: duality theory and simulation in financial engineering. 327-334 - William J. Morokoff:
Simulation methodology for collateralized debt and real options: simulation methods for risk analysis of collateralized debt obligations. 335-342 - Barry R. Cobb, John M. Charnes:
Simulation methodology for collateralized debt and real options: simulation and optimization for real options valuation. 343-350 - Michele Amico, Zbigniew J. Pasek, Farshid Asl, Giovanni Perrone:
Simulation methodology for collateralized debt and real options: a new methodology to evaluate the real options of investment using binomial trees and monte carlo simulation. 351-359 - Tarja Joro, Paul Na:
Simulation for risk management: a simulation-based credit default swap pricing approach under jump-diffusion. 360-363 - John M. Mulvey, Hafize G. Erkan:
Simulation for risk management: risk management of a P/C insurance company scenario generation, simulation and optimization. 364-371 - Aparna Gupta, Lingyi Zhang, Shivkumar Kalyanaraman:
Simulation for risk management: a two-component spot pricing framework for loss-rate guaranteed internet service contracts. 372-380
Analysis Methodology
- Samuel G. Steckley, Shane G. Henderson:
Simulation input modeling: a kernel approach to estimating the density of a conditional expectation. 383-391 - Russell C. H. Cheng, Christine S. M. Currie:
Simulation input modeling: prior and candidate models in the Bayesian analysis of finite mixtures. 392-398 - Michael E. Kuhl, Sachin G. Sumant, James R. Wilson:
Simulation input modeling: a flexible automated procedure for modeling complex arrival processes. 399-407 - Rita Marques Brandão, Acácio M. O. Porta Nova:
Simulation output analysis: non-stationary queue simulation analysis using time series. 408-413 - Falko Bause, Mirko Eickhoff:
Simulation output analysis: truncation point estimation using multiple replications in parallel. 414-421 - Emily K. Lada, James R. Wilson, Natalie M. Steiger:
Simulation output analysis: a wavelet-based spectral method for steady-state simulation analysis. 422-430 - John S. Baras:
Simulation of large networks: modeling and simulation of telecommunication networks for control and management. 431-440 - John Shortle, Donald Gross, Brian L. Mark:
Simulation of large networks: efficient simulation of the National Airspace System. 441-448 - Jason R. W. Merrick, Varun Dinesh, Amita Singh, Johan René van Dorp, Thomas A. Mazzuchi:
Simulation of large networks: propagation of uncertainty in a simulation-based maritime risk assessment model utilizing Bayesian simulation techniques. 449-455 - E. Jack Chen, W. David Kelton:
Indifference zone selection procedures: inferences from indifference-zone selection procedures. 456-464 - Stephen E. Chick:
Indifference zone selection procedures: expected opportunity cost guarantees and indifference zone selection procedures. 465-473 - L. Jeff Hong, Barry L. Nelson:
Indifference zone selection procedures: an indifference-zone selection procedure with minimum switching and sequential sampling. 474-480 - Christos Alexopoulos, David Goldsman:
Special topics on simulation analysis: to batch or not to batch. 481-489 - Chun-Hung Chen, Donghai He, Enver Yücesan:
Special topics on simulation analysis: better-than-optimal simulation run allocation? 490-495 - Wai Kin Chan, Lee Schruben:
Special topics on simulation analysis: properties of discrete event systems from their mathematical programming representations. 496-502 - Ramya Dhamodaran, Bruce Shultes:
Queueing network simulation analysis: efficient analysis of rare events association with individual buffers in a tandem Jackson network. 503-510 - Ying-Chao Hung, George Michailidis, Derek R. Bingham:
Queueing network simulation analysis: developing efficient simulation methodology for complex queueing networks. 512-519 - Jamie R. Wieland, Raghu Pasupathy, Bruce W. Schmeiser:
Queueing network simulation analysis: queueing-network stability: simulation-based checking. 520-527 - Seong-Hee Kim:
Efficient simulation procedures: comparison with a standard via fully sequential procedures. 528-534 - Loo Hay Lee, Ek Peng Chew:
Efficient simulation procedures: a simulation study on sampling and selecting under fixed computing budget. 535-542 - Jihong Jin, Bruce W. Schmeiser:
Issues on simulation and optimization I: simulation-based retrospective optimization of stochastic systems: a family of algorithms. 543-547 - Charles D. McAllister:
Issues on simulation and optimization I: robust simulation-based design of hierarchical systems. 548-555 - Navara Chantarat, Ning Zheng, Theodore T. Allen, Deng Huang:
Issues on simulation and optimization I: optimal experimental design for systems involving both quantitative and qualitative factors. 556-564 - Hong Wan, Bruce E. Ankenman, Barry L. Nelson:
Issues on simulation and optimization I: controlled sequential bifurcation: a new factor-screening method for discrete-event simulation. 565-573 - Raghu Pasupathy, Bruce W. Schmeiser:
Issues on simulation and optimization II: some issues in multivariate stochastic root finding. 574-577 - Frederick Wieland, Thomas Curtis Holden:
Issues on simulation and optimization II: targeting aviation delay through simulation optimization. 578-584 - Russell C. H. Cheng, Owen D. Jones:
Issues on simulation and optimization II: robust hybrid designs for real-time simulation trials. 585-591
Modeling Methodology a
- Hans Vangheluwe, Juan de Lara
:
Foundations of multi-paradigm modeling and simulation: computer automated multi-paradigm modelling: meta-modelling and graph transformation. 595-603 - Mamadou K. Traoré:
Foundations of multi-paradigm modeling and simulation: a meta-theoretic approach to modeling and simulation. 604-612 - Vei-Chung Liang, Christiaan J. J. Paredis:
Foundations of multi-paradigm modeling and simulation: a port ontology for automated model composition. 613-622 - Pieter J. Mosterman:
Hybrid dynamic systems: mode transition behavior in hybrid dynamic systems. 623-631 - D. A. van Beek, Niek G. Jansen, Jacobus E. Rooda, Ramon R. H. Schiffelers, Ka L. Man, Michel A. Reniers:
Hybrid dynamic systems: relating Chi to hybrid automata. 632-640 - Mariana C. D'Abreu, Gabriel A. Wainer:
Hybrid dynamic systems: models for continous and hybrid system simulation. 641-649 - David M. Nicol, Jason Liu, Michael Liljenstam, Guanhua Yan:
Simulation of large scale networks I: simulation of large-scale networks using SSF. 650-657 - Roger Curry, Rob Simmonds, Brian W. Unger:
Simulation of large scale networks I: modelling differentiated services in conservative PDES. 658-666 - Kevin Walsh II, Emin Gün Sirer:
Simulation of large scale networks I: staged simulation for improving scale and performance of wireless network simulations. 667-675 - George F. Riley:
Simulation of large scale networks II: large-scale network simulations with GTNetS. 676-684 - L. Felipe Perrone, Yougu Yuan, David M. Nicol:
Simulation of large scale networks II: modeling and simulation best practices for wireless ad hoc networks. 685-693 - Michael Liljenstam, Jason Liu, David M. Nicol:
Simulation of large scale networks II: development of an internet backbone topology for large-scale network simulations. 694-702 - David W. Bauer, Garrett R. Yaun, Christopher D. Carothers, Murat Yuksel, Shivkumar Kalyanaraman:
Simulation of large scale networks III: ROSS.Net: optimistic parallel simulation framework for large-scale internet models. 703-711 - Boleslaw K. Szymanski, Yu Liu:
Simulation of large scale networks III: loosely-coordinated, distributed, packet-level simulation of large-scale networks. 712-720 - Jorge R. Ramos, Vernon Rego, Janche Sang:
Simulation of large scale networks III: an improved computational algorithm for round-robin service. 721-728 - Sigrid Wenzel, Jochen Bernhard, Ulrich Jessen:
Visualization for modeling and simulation: a taxonomy of visualization techniques for simulation in production and logistics. 729-736 - Wolfgang Müller, Heidrun Schumann:
Visualization for modeling and simulation: visualization methods for time-dependent data - an overview. 737-745 - Pavel Slavík, Marek Gayer, Frantisek Hrdlicka, Ondrej Kubelka:
Visualization for modeling and simulation: problems of visualization of technological processes. 746-754 - Paul A. Fishwick, Jinho Lee, Minho Park, Hyunju Shim:
Next generation modeling I: RUBE: a customized 2d and 3d modeling framework for simulation. 755-762 - Thomas Nocke, Heidrun Schumann, Uwe Böhm, Michael Flechsig:
Next generation modeling I: information visualization supporting modelling and evaluation tasks for climate models. 763-771 - Michael Daniel Ryde, Simon J. E. Taylor:
Next generation modeling I: issues using cots simulation software packages for the interoperation of models. 772-777 - Stephan Diehl, Carsten Görg:
Next generation modeling II - applications: experiencing natural phenomena with virtual, constructed and mathematical models. 778-781 - Nicholas A. Allen, Clifford A. Shaffer, Marc Vass, Naren Ramakrishnan, Layne T. Watson:
Next generation modeling II - applications: improving the development process for eukaryotic cell cycle models with a modeling support environment. 782-790 - Durk-Jouke van der Zee:
Next generation modeling II - applications: modeling control in manufacturing simulation. 791-798 - Jan Himmelspach, Mathias Röhl, Adelinde M. Uhrmacher:
Next generation modeling III - agents: simulation for testing software agents - an exploration based on James. 799-807 - Surya Dev Pathak, David M. Dilts, Gautam Biswas:
Next generation modeling III - agents: a multi-paradigm simulator for simulating complex adaptive supply chain networks. 808-816 - Patrick Riley, George F. Riley:
Next generation modeling III - agents: Spades - a distributed agent simulation environment with software-in-the-loop execution. 817-825
Modeling Methodology b
- Csaba Attila Boer, Alexander Verbraeck:
Distributed simulation and manufacturing: distributed simulation with cots simulation packages. 829-837 - Simon J. E. Taylor, Jon Sharpe, John Ladbrook:
Distributed simulation and manufacturing: time management issues in cots distributed simulation: a case study. 838-846 - Boon-Ping Gan, Malcolm Yoke Hean Low, Junhu Wei, Xiaoguang Wang, Stephen John Turner, Wentong Cai:
Distributed simulation and manufacturing: synchronization and management of shared state in HLA-based distributed simulation. 847-854 - Yi Zeng, Wentong Cai, Stephen John Turner:
Parallel distributed simulation and modeling methods: causal order based time warp: a tradeoff of optimism. 855-863 - Michael D. Peters, Christopher D. Carothers:
Parallel distributed simulation and modeling methods: an algorithm for fully-reversible optimistic parallel simulation. 864-871 - Sushil K. Prasad, Zhiyong Cao:
Parallel distributed simulation and modeling methods: SyncSim: a synchronous simple optimistic simulation technique based on a global parallel heap event queue. 872-880 - Simon J. E. Taylor, Steffen Straßburger, Boon-Ping Gan, Alexander Verbraeck:
Commercial-off-the-shelf distributed simulation, panel: HLA-CSPIF panel on commercial off-the-shelf distributed simulation. 881-887 - Harald Rueß, Leonardo Mendonça de Moura:
Simulation and verification I: from simulation to verification (and back). 888-896 - Corrado Priami:
Simulation and verification I: design environments for complex systems. 897-905 - Ricky W. Butler, Jeffrey Maddalon, Alfons Geser, César A. Muñoz:
Simulation and verification I: formal analysis of air traffic management systems: the case of conflict resolution and recovery. 906-914 - Darren D. Cofer, Murali Rangarajan:
Simulation and verification II: event-triggered environments for verification of real-time systems. 915-922 - Norbert Giambiasi, Jean-Luc Paillet, Frédéric Châne:
Simulation and verification II: from timed automata to DEVS models. 923-931 - Kareem S. Aggour, Renee Guhde, Melvin K. Simmons, Michael J. Simon:
Simulation and verification II: simulating quantum computing: quantum express. 932-940
Military Applications
- James F. Dunnigan:
Military keynote: wargames, preemption and a lot of other curious behavior. 943