The Community for Technology Leaders
Winter Simulation Conference (2001)
Arlington, VA, USA
Dec. 9, 2001 to Dec. 12, 2001
ISBN: 0-7803-7307-3
TABLE OF CONTENTS
Wsc

Introduction to simulation (Abstract)

R.G. Ingalls , Sch. of Ind. Eng. & Manage., Oklahoma State Univ., Stillwater, OK, USA
pp. 7-16

Challenges of introducing simulation as a decision making tool (Abstract)

M.A. Centeno , Ind. & Syst. Eng. Dept., Florida Int. Univ., Miami, FL, USA
pp. 17-21

How to build valid and credible simulation models (Abstract)

A.M. Law , Averill M. Law & Associates, Inc., Tucson, AZ, USA
pp. 22-29

ABC's of output analysis (Abstract)

S.M. Sanchez , Dept. of Oper. Res., Naval Postgraduate Sch., Monterey, CA, USA
pp. 30-38

Some myths and common errors in simulation experiments (Abstract)

B.W. Schmeiser , Sch. of Ind. Eng., Purdue Univ., West Lafayette, IN, USA
pp. 39-46

Designing simulation experiments (Abstract)

R.R. Barton , Harold & Inge Marcus Dept. of Ind. & Manuf. Eng., Pennsylvania State Univ., University Park, PA, USA
pp. 47-52

Simulation optimization (Abstract)

M.C. Fu , Robert H. Smith Sch. of Bus., Maryland Univ., College Park, MD, USA
pp. 53-61

Input modeling techniques for discrete-event simulations (Abstract)

L. Leemis , Dept. of Math., Coll. of William & Mary, Williamsburg, VA, USA
pp. 62-73

Spreadsheet simulation (Abstract)

A.F. Seila , Terry Coll. of Bus., Georgia Univ., Athens, GA, USA
pp. 74-79

Mathematics for simulation (Abstract)

S.G. Henderson , Sch. of Operations Res. & Ind. Eng., Cornell Univ., Ithaca, NY, USA
pp. 83-94

Software for uniform random number generation: distinguishing the good and the bad (Abstract)

P. L'Ecuyer , Departement d'Informatique et de Recherche Operationnelle, Univ. de Montreal, Que., Canada
pp. 95-105

Some approaches and paradigms for verifying and validating simulation models (Abstract)

R.G. Sargent , Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY, USA
pp. 106-114

Output data analysis for simulations (Abstract)

C. Alexopoulos , Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
pp. 115-122

Simulation in financial engineering (Abstract)

J. Staum , Sch. of Operations Res. & Ind. Eng., Cornell Univ., Ithaca, NY, USA
pp. 123-133

Simulation/optimization using "real-world" applications (Abstract)

J. April , OptTek Systems, Inc, Boulder, CO, USA
pp. 134-138

Statistical selection of the best system (Abstract)

D. Goldsman , Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
pp. 139-146

Parallel and distributed simulation systems (Abstract)

R.M. Fujimoto , Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
pp. 147-157

Inside discrete-event simulation software: how it works and why it matters (Abstract)

T.J. Schriber , Comput. & Inf. Syst., Michigan Univ., Ann Arbor, MI, USA
pp. 158-168

Analysis of simulation experiments by bootstrap resampling (Abstract)

R.C.H. Cheng , Dept. of Math., Southampton Univ., UK
pp. 179-186

Distributed simulation and control: the foundations (Abstract)

W.J. Davis , Dept. of Gen. Eng., Illinois Univ., Urbana, IL, USA
pp. 187-198

The Arena product family: enterprise modeling solutions (Abstract)

R.J. Swets , Rockwell Software, Sewickley, PA, USA
pp. 201-208

The AutoMod Product Suite tutorial (Abstract)

B. Stanley , AutoSimulations Div., Brooks Autom., Bountiful, UT, USA
pp. 209-216

The Extend simulation environment (Abstract)

D. Krahl , Imagine That, Inc, San Jose, CA, USA
pp. 217-225

Simulation modeling and optimization using ProModel technology (Abstract)

C.R. Harrell , Dept. of Manuf. Eng., Brigham Young Univ., Provo, UT, USA
pp. 226-232

Healthcare simulation modeling and optimization using MedModel (Abstract)

C.R. Harrell , Dept. of Manuf. Eng., Brigham Young Univ., Provo, UT, USA
pp. 233-238

SDI Supply Chain Builder: simulation from atoms to the enterprise (Abstract)

R.A. Phelps , Simulation Dynamics, Inc., Maryville, TN, USA
pp. 246-249

CSIM19: a powerful tool for building system models (Abstract)

H. Schwetman , Mesquite Software, Inc., Austin, TX, USA
pp. 250-255

How the ExpertFit distribution-fitting software can make your simulation models more valid (Abstract)

A.M. Law , Averill M. Law & Associates, Inc., Tucson, AZ, USA
pp. 256-261

Open-source SML and Silk for Java-based, object-oriented simulation (Abstract)

R.A. Kilgore , SML Consortium & ThreadTec, Inc., Chesterfield, MO, USA
pp. 262-268

Taylor Enterprise Dynamics (Abstract)

W.B. Nordgren , Enterprise Dynamics Corp., Orem, UT, USA
pp. 269-271

Modeling and generating multivariate time series with arbitrary marginals and autocorrelation structures (Abstract)

B. Deler , Dept. of Ind. Eng. & Manage. Sci., Northwestern Univ., Evanston, IL, USA
pp. 275-282

Generating daily changes in market variables using a multivariate mixture of normal distributions (Abstract)

Jin Wang , Dept. of Math. & Comput. Sci., Valdosta State Univ., GA, USA
pp. 283-289

Accounting for input model and parameter uncertainty in simulation (Abstract)

F. Zouaoui , Res. Group, Sabre, Inc., Southlake, TX, USA
pp. 290-299

Towards a framework for black-box simulation optimization (Abstract)

S. Olafsson , Dept. of Ind. & Manuf. Syst. Eng., Iowa State Univ., Ames, IA, USA
pp. 300-306

Global random optimization by simultaneous perturbation stochastic approximation (Abstract)

J.L. Maryak , Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
pp. 307-312

Constrained optimization over discrete sets via SPSA with application to non-separable resource allocation (Abstract)

D.C. Chin , Dept. of Electr. & Comput. Eng., Morgan State Univ., Baltimore, MD, USA
pp. 313-317

Stopping simulated paths early (Abstract)

P. Glasserman , Graduate Sch. of Bus., Columbia Univ., New York, NY, USA
pp. 318-324

Efficient simulation for discrete path-dependent option pricing (Abstract)

J.M. Calvin , Dept. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA
pp. 325-328

A new approach to pricing American-style derivatives (Abstract)

S.B. Laprise , Dept. of Math., Maryland Univ., College Park, MD, USA
pp. 329-337

Variance estimation using replicated batch means (Abstract)

S. Andradttir , Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
pp. 338-343

On the MSE robustness of batching estimators (Abstract)

Yingchieh Yeh , Sch. of Ind. Eng., Purdue Univ., West Lafayette, IN, USA
pp. 344-347

Improving standardized time series methods by permuting path segments (Abstract)

J.M. Calvin , Dept. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA
pp. 348-353

Accounting for parameter uncertainty in simulation input modeling (Abstract)

F. Zouaoui , Res. Group, Sabre, Inc, Southlake, TX, USA
pp. 354-363

Reducing input parameter uncertainty for simulations (Abstract)

J.R. Wilson , Dept. of Ind. & Operations Eng., Michigan Univ., Ann Arbor, MI, USA
pp. 364-371

Resampling methods for input modeling (Abstract)

R.R. Barton , Harold & Inge Marcus Dept. of Ind. & Manuf. Eng., Pennsylvania State Univ., University Park, PA, USA
pp. 372-378

A Markov chain perspective on adaptive Monte Carlo algorithms (Abstract)

P.Y. Desai , Dept. of Manage. Sci. & Eng., Stanford Univ., CA, USA
pp. 379-384

Chessboard distributions (Abstract)

S. Ghosh , Sch. of Operations Res. & Ind. Eng., Cornell Univ., Ithaca, NY, USA
pp. 385-393

Constrained Monte Carlo and the method of control variates (Abstract)

R. Szechtman , Dept. of Manage. Sci. & Eng., Stanford Univ., CA, USA
pp. 394-400

Selection-of-the-best procedures for optimization via simulation (Abstract)

J. Pichitlamken , Dept. of Ind. Eng. & Manage. Sci., Northwestern Univ., Evanston, IL, USA
pp. 401-407

Using common random numbers for indifference-zone selection (Abstract)

E.J. Chen , Math. Modeling Group, BASF Corp., Mount Olive, NJ, USA
pp. 408-416

A genetic algorithm and an indifference-zone ranking and selection framework for simulation optimization (Abstract)

H.E. Hedlund , Ind. Eng. & Manage. Syst., Univ. of Central Florida, Orlando, FL, USA
pp. 417-421

Graphical representation of IPA estimation (Abstract)

M. Freimer , Sch. of Operations Res. & Ind. Eng., Cornell Univ., Ithaca, NY, USA
pp. 422-427

Monte Carlo simulation approach to stochastic programming (Abstract)

A. Shapiro , Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
pp. 428-431

Stochastic modeling of airlift operations (Abstract)

J. Granger , Dept. of Ind. Eng., Wisconsin Univ., Madison, WI, USA
pp. 432-440

Importance sampling using the semi-regenerative method (Abstract)

J.M. Calvin , Dept. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA
pp. 441-450

Quantile and histogram estimation (Abstract)

E.J. Chen , Math. Modeling Group, BASF Corp., Mount Olive, NJ, USA
pp. 451-459

Simulating ruin probabilities in insurance risk processes with subexponential claims (Abstract)

N.M. van Dijk , Dept. of Econ. & Bus. Adm., Vrije Univ., Amsterdam, Netherlands
pp. 468-476

Using quantile estimates in simulating Internet queues with Pareto service times (Abstract)

M.J. Fischer , Center for Telecommun. & Adv. Technol., Mitretek Syst., McLean, VA, USA
pp. 477-485

Component-oriented simulation architecture: Toward interoperability and interchangeability (Abstract)

G. Chen , Dept. of Comput. Sci., Rensselaer Polytech. Inst., Troy, NY, USA
pp. 495-501

A capacity planning tool for the Tuxedo middleware used in transaction processing systems (Abstract)

T. Altiok , Dept. of Ind. Eng., Rutgers Univ., Piscataway, NJ, USA
pp. 502-507

A framework for distributed simulation optimization (Abstract)

B. Gehlsen , Dept. for Informatics, Hamburg Univ., Germany
pp. 508-514

Modeling design development in unpredictable environments (Abstract)

N. Gil , Dept. of Civil & Environ. Eng., California Univ., Berkeley, CA, USA
pp. 515-522

Resource graphs for modeling large-scale, highly congested systems (Abstract)

P. Hyden , Dept. of Math. Sci., Clemson Univ., SC, USA
pp. 523-529

Simulating biotech manufacturing operations: issues and complexities (Abstract)

P.V. Saraph , Process Optimization Group, Bayer Corp., Berkeley, CA, USA
pp. 530-534

Agent-based simulation and greenhouse gas emissions trading (Abstract)

H. Mizuta , Tokyo Res. Lab., IBM Japan, Kanagawa, Japan
pp. 535-540

A real options design for product outsourcing (Abstract)

H.B. Nembhard , Dept. of Ind. Eng., Wisconsin Univ., Madison, WI, USA
pp. 548-552

Supply chain agent decision aid system (SCADAS) (Abstract)

A. Gupta , Dept. of Ind. & Manuf. Eng., Wichita State Univ., KS, USA
pp. 553-559

Production scheduling validity in high level supply chain models (Abstract)

D.J. Parsons , Simulation Dynamics, Maryville, TN, USA
pp. 560-564

GPSS-40 years of development (Abstract)

I. Stahl , Dept. of Managerial Econ., Stockholm Sch. of Econ., Sweden
pp. 577-585

Automated object-flow testing of dynamic process interaction models (Abstract)

L. Yilmaz , Simulation & Software Div., Trident Syst. Inc., Fairfax, VA, USA
pp. 586-594

Verifying and validating a simulation model (Abstract)

Anbin Hu , Simulation Res. Center, Harbin Inst. of Technol., China
pp. 595-599

Verification of object-oriented simulation designs (Abstract)

M.L. Metz , Innovative Manage. Concepts, Inc., Sterling, VA, USA
pp. 600-603

Open source Simulation Modeling Language (SML) (Abstract)

R.A. Kilgore , SML Consortium & ThreadTec, Inc., Chesterfield, MO, USA
pp. 607-613

SISCO: a supply chain simulation tool utilizing Silk/sup TM/ and XML (PDF)

D.C. Chatfield , Dept. of Manage. Sci. & Inf. Technol., Virginia Tech, Blacksburg, VA, USA
pp. 614-622

Simulation application service providing (SIM-ASP) (Abstract)

T. Wiedemann , Technische Univ. Berlin, Germany
pp. 623-628

Web-based simulation of systems described by partial differential equations (Abstract)

M. Alfonseca , ETS Informatica, Univ. Autonoma de Madrid, Spain
pp. 629-636

Managing event traces for a web front-end to a parallel simulation (Abstract)

H. Vangheluwe , Gintic Inst. of Manuf. Technol., Singapore, Singapore
pp. 637-644

The design of a web-based training system for simulation analysis (Abstract)

Yu-Hui Tao , Dept. of Inf. Manage., I-Shou Univ., Kaohsiung, Taiwan
pp. 645-652

Dimensionality analysis of a simulation outcome space (Abstract)

P. Martin , Wilkes Univ., Wilkes-Barre, PA, USA
pp. 663-671

ODIN - an underwater warfare simulation environment (Abstract)

T. Robinson , Offshore & Acoust. Dept., QinetiQ, Weymouth, UK
pp. 672-679

Planning aids for the military commander: force protection simulation opportunities with GIS (Abstract)

A. Cowdale , Air Warfare Centre, R. Air Force Waddington, Lincoln, UK
pp. 680-683

The Joint Warfare System (JWARS): a modeling and analysis tool for the Defense Department (Abstract)

A. Skinner , Joint Warfare Syst. Office, Office of the Secretary of Defense, Arlington, VA, USA
pp. 691-696

JWARS output analysis (Abstract)

H.R. Blacksten , Joint Warfare Syst. Office, CACI Int. Inc, Arlington, VA, USA
pp. 706-714

Representation of urban operations in military models and simulations (Abstract)

S.T. Crino , TRAC-Monterey, Monterey, CA, USA
pp. 715-720

Modeling and simulation for exploring human-robot team interaction requirements (Abstract)

D.D. Dudenhoeffer , Human-Syst. Simulation Lab., Idaho Nat. Eng. & Environ. Lab., Idaho Falls, ID, USA
pp. 730-739

T.Loads abbreviated systems architecture (Abstract)

B. Hamber , Expeditionary Syst Div., Naval Facilities Eng. Service Center, Port Hueneme, CA, USA
pp. 749-757

Case study in modeling and simulation validation methodology (Abstract)

S.D. Simpkins , Prog. Anal. & Eval. Directorate, US Army Recruiting Command, Fort Knox, KY, USA
pp. 758-766

Usage testing of military simulation systems (Abstract)

G.H. Walton , Sch. of Electr. Eng. & Comput. Sci, Univ. of Central Florida, Orlando, FL, USA
pp. 771-779

Applications of discrete event simulation modeling to military problems (Abstract)

R.R. Hill , Dept. of Operational Sci., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
pp. 780-788

Generic models in the advanced IRCM assessment model (Abstract)

D.P. Forrai , Advanced Syst. Group, JE Sverdrup, Dayton, OH, USA
pp. 789-796

Study of an ergodicity pitfall in multitrajectory simulation (Abstract)

J.J. Maier , Wilkes Univ., Wilkes-Barre, PA, USA
pp. 797-804

Modes of simulation practice in business and the military (Abstract)

S. Robinson , Bus. Sch., Warwick Univ., Coventry, UK
pp. 805-811

The economic effects of reusability on distributed simulations (Abstract)

M. Ewing , Dept. of Ind. & Syst. Eng., Alabama Univ., Huntsville, AL, USA
pp. 812-817

Author Index (Abstract)

pp. 829-833
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