Altiok Tayfur (Moderator), Kelton W. David, L’Ecuyer Pierre, Nelson Barry L., Schmeiser Bruce W., Schriber Thomas J., Schruben Lee W., Wilson James R. Various ways academics teach simulation: are they all appropriate? (panel on education in simulation) // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.1580-1591.
This panel discusses goals and educational strategies for teaching simulation in academia. Clearly, there is considerable material to cover in a single course or a sequence thereof in, say, an undergraduate program. The issue is how to motivate and empower students to analyze complex problems correctly and to prevent the pitfall of misusing the concept.

April J., Glover F., Kelly J. and others Simulation/optimization using «real-world» applications // Proceedings of the 2001 Winter Simulation Conference. – 2001. – P. 134–138.

Banks Jerry. Panel session: education for simulation practice—five perspectives // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.1571-1579.
This panel session is based on the responses of simulationists representing various segments of simulation practice, to an article on the required skills of a simulation analyst. The perspectives represented are those of academia, government, industry, military, and research. First, the essence of the reference article is provided. Then, the five perspectives are presented. Finally, inferences are drawn from the five perspectives and the reference article.

Banks Jerry. Panel session: The future of simulation // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds.
Panelists representing seven areas of application give their views on the future of simulation. There is some consistency, but not a lot. Optimization, the web, training, supply chain management, graphics, and real time simulation received two mentions each. However, depending on how the counting is performed, there are another six areas with a single mention.

Barjis J., Shishkov B. UML based business systems modeling and simulation. – Proceedings of EuroSim 2001. – pp. 789-795.

Barton Russell R. Designing simulation experiments // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.47-52.
Simulation models are useful for examining the performance of alternative system configurations and/or alternative operating procedures for a system. This tutorial provides some techniques for planning a set of simulation model runs, in order to gain insight on system behavior. There is an emphasis on graphical methods.

Barton R., Schruben L. (2001). Resampling methods for input modeling. In: Proceedings of the Winter Simulation Conference, pp. 372-378.

Bauer B., Muller J.P., and Odell J. 2001. Agent UML: A formalism for specifying multiagent interaction // In Agent-Oriented Software Engineering, Ciancarini, P. and Wooldridge, M. Eds. Springer-Verlag, Berlin, Germany, P.91–103.

Berger T. Agent-based Spatial Models Applied to Agriculture: A Simulation Tool for Tech-nology Diffusion, Resource Use Changes and Policy Analysis // Agricultural Economics. 2001. Vol. 25 (2/3). P. 245–260.

Boesel Justin, Bowden Royce O., Glover Fred, Kelly James P., Westwig Erik. Future of simulation optimization // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.1466-1469.
The combination of simulation and optimization, essentially unheard of in practice a decade ago, is much more accessible today, thanks in large part to the development of commercial optimization software designed for use with existing simulation packages. Despite this growth, untapped applications abound. This panel, which includes developers of simulation-optimization packages, will discuss this untapped potential, barriers to broader applicability, and approaches for overcoming these barriers. This paper starts off with a brief introduction by the panel’s organizer, followed by position statements from the panelists.

Bonabeau E. Agent-based modeling: methods and techniques for simulating human systems // Procedures National Academy of Sciences. 2001. 99 (3). P. 7280–7287.

Borshchev A. Anylogic 4.0: Simulating hybrid systems with extended uml-rt. Simulation News Europe, 31:15–16, 2001.

Brady Thomas F. Computer simulation analysis of electricity rationing effects on steel mill rolling operations // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.946-948.
This paper presents an application of computer simulation as a policy analysis tool for the electric utility industry. In the last decade, the amount of electricity generation capacity has remained constant while demand for electricity has been increasing. This situation puts industrial electricity users, those who use large highly varying quantities of electricity in potentially risky production and financial situations. In this paper, we describe a computer simulation model that examines the electricity requirements of a steel mill in a constrained electricity supply environment. By using simulation, we develop and analyze policies that quantify the costs and benefits of collaborative strategies for efficient electricity usage from both perspectives.

Burnett D., T. Le Baron. Efficiently Modeling Warehouse Systems // Proceedings of the 2001 Winter Simulation Conference, p. 1001-1006.

Casanova H. Simgrid: A toolkit for the simulation of application scheduling. Proceedings 1st IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid2001), Brisbane, Australia, May 2001. IEEE Computer Society Press: Los Alamitos, CA, 2001.

Centeno Martha A., Carrillo Manuel. Challenges of introducing simulation as a decision making tool // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.17-21.
Over the years, simulation models have been successfully built to observe the behavior of systems. Despite advances in the field and its growth in popularity, when simulation is to be introduced to an organization, there are challenges to be met including acceptance by staff, availability of staff to describe the various operations, existence of useful data, and management expectations. Organizations are continuously collecting data, which may lead one to believe that developing stochastic models of an organization’s activities should be easy. However, elicitation of useful information may end up being a major bottleneck because usually the information system collecting such data is not designed for stochastic modeling.

Chatfield Dean C., Harrison Terry P., Hayya Jack C. SISCO: A supply chain simulation tool utilizing SILK and XML // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.614-622.
We discuss SISCO, the Simulator for Integrated Supply Chain Operations, a Java-based tool that simplifies supply chain simulation model development. SISCO maps supply chain descriptions stored in the XML-based Supply Chain Modeling Language format to a set of supply chain «building blocks» developed with ThreadTec’s Silk simulation classes. The resulting system combines the ease of a visual supply chain simulator, the power and flexibility of a full object-oriented programming language, and the unparalleled supply chain model detail of a new, open, information standard.

Chwif Leonardo, Barretto Marcos Ribeiro Pereira, Paul Ray J. Assessment of student preparation for discrete event simulation courses // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.1624-1631.
This work is related to the construction, application and analysis of an assessment instrument to evaluate student prerequisite knowledge for a discrete event simulation course. The proposed questionnaire was given to the 5th year engineering students at the beginning of our first year (72 hours) discrete event simulation introductory course at Mauá School of Engineering. The results obtained show the importance of making an assessment evaluation in order to improve the quality of simulation learning.

Dalal Malay A., Jensen Lawrence P. Simulation modeling at union pacific railroad // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.1048-1055.
This paper describes three recent experiences of applying simulation at Union Pacific Railroad: validation of yard-queuing data used in a railroad operations planning and control system, evaluation of work-rest patterns for scheduling train crews, and evaluation of strategic transportation plan. Collectively they demonstrate the wide spectrum of possible applications in terms of domain, development effort, planning horizon, etc. We conclude with thoughts on how to promote the use of simulation in the railroad environment.

Duinkerken, M.B., J.J. Evers, and J.A. Ottjes. 2001. A Simulation model for integrating quay transport and stacking policies in automated terminals // In Proceedings of the 15th European Simulation Multiconference (ESM2001). Prague: Society for Modeling & Simulation International.

Fu M.C. Simulation optimization // Proceedings of the 2001 Winter Simulation Conference. – 2001. – P. 53–61.

A. Hanisch, P. Lorenz, S. Osterburg, T. Schulze Die B2B Simulation Inititative - Simulationsdienstleistungen als E-Business // Logistikplanung im e-Zeitalter. Tagungsband der 7. Magdeburger Logistik-Tagung, November 2001, p.183-196.

Harrell Charles R., Field Kevin C. Simulation modeling and optimization using ProModel technology // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.226-232.
The ProModel Optimization Suite is a powerful yet easy to use simulation tool for modeling all types of manufacturing systems ranging from small job shops and machining cells to large mass production, flexible manufacturing systems, and supply chain systems. This paper provides an overview of the ProModel Optimization Suite and presents its modeling, analysis, and optimization capabilities.

Harrell Charles R., Lange Victor. Healthcare simulation modeling and optimization using MedModel // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.233-238.
MedModel is a simulation tool that allows healthcare engineers, managers and clinicians to quickly examine very complex operational and planning issues. Unlike static tools, such as spreadsheets, MedModel makes it easy to replicate the complex interactions within and between departments. These interactions quickly create problems that are simply too complex for traditional tools to answer properly. MedModel has a wealth of specific functions to accurately duplicate actual health system behavior. This paper is an examination of how capable this tool is in answering complex healthcare planning questions.

Hill Raymond R., Miller J.O., McIntyre Gregory A. Applications of discrete event simulation modeling to military problems // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.780-788.
In this paper we discuss the uses of military simulation, the issues associated with military simulation to include categorizations of various types of military simulation. We then discuss three particular simulation studies undertaken with the Air Force Institute of Technology’s Department of Operational Science focused on important Air Force and Army issues.

Hong,J.E., Bae D.H. High-level Petri net for incremental specification of object-oriented system requirements // Institution of engineering and technology, IEEE Proceedings – Software. 2001. Vol. 148, No.1. P.11-18.

Hu Anbin, San Ye, Wang Zicai. Verifying and validating a simulation model // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.595-599.
This paper presents the verification and validation of simulation model with the emphasis on the possible modification. Based on the analysis, a new framework is proposed, and new terms are defined. An example is employed to demonstrate how the framework and terms related are used in verifying and validating an existing model.

Hugan Joseph C. Using simulation to evaluate site traffic at an automobile truck plant // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.1013-1016.
This paper focuses on the use of discrete event simulation to address the many traffic related issues brought on by this more aggressive inventory method. The model considered factors such as plant schedule, gate staffing, vehicle production, truck size, travel time, vehicle speed, loading time, and marshalling requirements. The results of the project have helped vendors understand how much time to allow for travel within the General Motors site once the truck arrives with its parts. The paper will also discuss the role 3D simulation played in validating this model and communicating specific simulation results.

Hutchison David W., Hill Stacy D. Simulation optimization of airline delay with constraints // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.1017-1022.
Air traffic delay is a growing and expensive problem. We investigated ways to reduce the cost and magnitude of such delays by trading gate delays against more expensive air delays. Air management and planning at this level can be facilitated by simulation, especially for strategies that alter controls on the system. We used the SIMMOD air traffic simulation to model the system. The objective was to determine a set of control measures that achieve the best system performance subject to restrictions on the decision parameters and selected system output measurements. Our approach used the simultaneous perturbation stochastic approximation algorithm with a penalty function to handle the difficult constraints.

Ingalls Ricki G. Introduction to simulation // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.7-16.
Simulation is a powerful tool if understood and used properly. This introduction to simulation tutorial is designed to teach the basics of simulation, including structure, function, data generated, and its proper use. The introduction starts with a definition of simulation, goes through a talk about what makes up a simulation, how the simulation actually works, and how to handle data generated by the simulation. Throughout the paper, there is discussion on issues concerning the use of simulation in industry.

Ivashkin Yu. A. Structural-parametrical modelling of intellectual agents and system // 2nd Workshop on agent-based simulation. Passau, Germany 2001, p. 71-76.
The methodological approach to construction of matrix model of a condition of the intellectual agent in space of the controllable and settlement parameters structured as interconnected blocks with set and a priori known connections is considered. The mathematical model of a dynamic condition of the agent is offered at receipt of the current information on the next step to achievement of the purpose. The methodological circuit of modeling of multi-agent systems is found on the basis of organizational structure and sign column of interaction.

Jimenez T., Siegel G., Mussi P. A road traffic simulator: car-following and lanechanging // Massachsets Institute of Technology, 2001.

Joustra Paul E., Van Dijk Nico M. Simulation of check-in at airports // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.1023-1028.
The purpose of this paper is to describe (a) why simulation is necessary to evaluate check-in, (b) a simulation toolbox for check-in counters and (c) Two case studies for Amsterdam Airport Schiphol. First, it is discussed why queuing theory results are too limited but nevertheless useful to predict queuing times for check-in counters at airports.

Kahn K. (2001). ToonTalk and Logo // Paper presented at Eurologo 2001.

Kilgore Richard A. Open source simulation modeling language (SML) // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.607-613.
The Simulation Modeling Language (SML) is an open source, web-based, multi-language simulation development project guided by a consortium of industrial, academic and government simulation consultants, practitioners and developers. This paper describes the SML software, the goals of the SML organization and relates the origins, philosophy and procedures of the open source movement to the objectives and needs of the simulation community.

Kiran Ali S., Cetinkaya Tekin, Cabrera Juan. Hierarchical modeling of a shipyard integrated with an external scheduling application // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.877-881.
This paper presents a hierarchical approach on the simulation of large-scale discrete event systems used recently by Kiran Consulting Group to model shipyard operations. Because of the dynamic, stochastic and complex nature of the shipbuilding processes, bottleneck identification and estimation of the impact of new technology implementation is extremely difficult to derive via analytical methods. The simulation model of a large-scale discrete event system can be considered as a collection of sub-systems, which are represented by the simulation models that are independently created, modified, and saved.

Krahl David. The Extend simulation environment // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.217-225.
The Extend simulation environment provides an integrated structure for building simulation models and developing new simulation tools. This environment supports simulation modelers on a wide range of levels. Model builders can use Extend’s pre-built modeling components to quickly build and analyze systems without programming. Simulation tool developers can use Extend’s built-in, compiled language, ModL, to develop new reusable modeling components. All of this is done within a single, selfcontained software program that does not require external interfaces, compilers, or code generators.

Kulick Beth C., Sawyer James T. The use of simulation to calculate the labor requirements in an intermodal rail terminal // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.1038-1041.
An intermodal rail terminal is a facility where the transfer of cargo occurs between truck and rail. The operations within these terminals involve many resources and operating rules. The ability of a terminal to respond to activity peaks that occur as a result of train arrivals and departuresis critical. In order to explore how operations can be improved given the dynamics of resource and demand interactions, a simulation model was developed to assist in understanding and exploring areas where throughput can be improved. The model was constructed such that capacity issues could be explored incrementally. The first focus was for understanding if efficient deployment of labor resources could provide desired throughput.

Kuo S. Stehen, Chen E. Jack, Selikson Paul L., Lee Young M. Modeling continuous flow with discrete-event simulation // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.1099-1103.
This paper describes the application of discrete event simulation to study continuous material flow. Logistics is an integrated part of most manufacturing companies. The purpose of this study is to determine the required logistics operations to allow continuous operations of a chemical manufacturing plant. The application has been used to provide critical decision support.

Lakos C. Object Oriented Modeling with Object Petri Nets // Concurrent Object-Oriented Programming and Petri Nets. 2001. P. 1-37.

Law Averill M., McComas Michael G. How the expertfit distribution-fitting software can make your simulation models more valid // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.256-261.
In this paper, we discuss the critical role of simulation input modeling in a successful simulation study. Two pitfalls in simulation input modeling are then presented and we explain how any analyst, regardless of their knowledge of statistics, can easily avoid these pitfalls through the use of the ExpertFit distribution-fitting software. We use a set of real-world data to demonstrate how the software automatically specifies and ranks probability distributions, and then tells the analyst whether the «best» candidate distribution is actually a good representation of the data. If no distribution provides a good fit, then ExpertFit can define an empirical distribution. In either case, the selected distribution is put into the proper format for direct input to the analyst’s simulation software.

Law Averill M., McComas Michael G. How to build valid and credible simulation models // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.22-29.
In this tutorial we present techniques for building valid and credible simulation models. Ideas to be discussed include the importance of a definitive problem formulation, discussions with subject-matter experts, interacting with the decision-maker on a regular basis, development of a written conceptual model, structured walk-through of the conceptual model, use of sensitivity analysis to determine important model factors, and comparison of model and system performance measures for an existing system (if any). Each idea will be illustrated by one or more real-world examples. We will also discuss the difficulty in using formal statistical techniques (e.g., confidence intervals) to validate simulation models.

L’Ecuyer P. (2001). Software for uniform random number generation: distinguishing the good and the bad. In: Proceedings of the Winter Simulation Conference, pp. 95-105.

Lee Seungman, Pritchett Amy, Goldsman David. Hybrid agent-based simulation for analyzing the national airspace system // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.1029-1037.
This paper outlines issues in the development of hybrid agent-based simulation architectures capable of providing a scaleable mechanism for simulating the National Airspace System. In particular, an object-oriented approach is described. In addition, methods of improving computational efficiency of updating the simulation are described and compared.

Leemis Lawrence. Input modeling techniques for discrete-event simulations // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.62-73.
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the true underlying probabilistic mechanism associated with the system is required for successful input modeling. The general question considered here is how to model an element (e.g., arrival process, service times) in a discrete-event simulation given a data set collected on the element of interest. For brevity, it is assumed that data is available on the aspect of the simulation of interest. It is also assumed that raw data is available, as opposed to censored data, grouped data, or summary statistics. This example-driven tutorial examines introductory techniques for input modeling.

Lemessi Marco. An SLX-based microsimulation model for a two-lane road section // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.1064-1071.
A car-following and lane-changing microsimulation model of a two-lane road section has been written in SLX as part of an extensive research project by the University of Rome Transport Department to qualify and quantify the environmental impact of traffic. The microsimulation model is part of a three-step approach, involving a traditional transport macroscopic model, the microscopic model, and an ultra-micro model. The microsimulation model’s car-following and lane-changing rules are presented and described in detail, and model outputs are commented.

Longstaff F.A. Valuing American options by simulation: A simple least-squares approach /F.A. Longstaff, E.S. Schwartz // Review of financial studies. 2001. Vol. 14. Iss. 1. P.113-147. doi: 10.1093/rfs/14.1.113.

P. Lorenz The B2B Simulation Initiative Simulation Services in the Web // Presentation for a Meeting on the IFF FhG Magdeburg June 6th 2001.

P. Lorenz and M. Schenk The B2B Simulation Initiative - Simulation Services in the Web // Tagungsband des 46. Internationalen Wissenschaftlichen Kolloquiums 24.-27-09.01 TU Ilmenau, p.30-31.

Lyneis J.M., Cooper K.G., Els S.A. Strategic management of complex projects: A case study using system dynamics // System Dynamics Review. Vol. 17. 2001, no. 3. Pp. 237-260.

Mason Colin R., Moffat James. An agent architecture for implementing command and control in military simulations // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.721-729.
In models of military operations it is important to include the Command and Control (C2) process in order to achieve a realistic simulation of a military force’s behaviour and effectiveness. Inspired by ideas from complexity theory we have developed a representation of C2 based on a decentralized system of interacting intelligent «command agents». In this paper we describe the architecture of our command agents and how this captures the key C2 processes that exist in military headquarters, particularly the G2 and G3 processes of recognised picture compilation, decision making and planning. We describe a re-usable software framework that we have developed, within which we implement the command agents.

McLean Charles, Shao Guodong. Simulation of shipbuilding operations // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.870-876.
This paper discusses the objectives and requirements for a shipbuilding simulation. It presents an overview of a generic simulation of shipbuilding operations. The shipbuilding simulation model can be used as a tool to analyze the schedule impact of new workload, evaluate production scenarios, and identify resource problems. The simulation helps identify resource constraints and conflicts between competing jobs. The simulation can be used to show expected results of inserting new technologies or equipment into the shipyard, particularly with respect to operating costs and schedule impact.

Metz Michael L., Jordan Jack. Verification of object-oriented simulation designs // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.600-603.
This paper discusses the verification process for object oriented simulation high-level and detailed designs based on the authors experience with the Joint Warfare System (JWARS). There is an overview of the JWARS simulation, the software development process, and the design artifacts. The paper describes how the JWARS V&V Team developed a tailored process and method for verification of the high level design and the detailed design and attempted to determine and document the completeness of the design.

Mizuta Hideyuki, Yamagata Yoshiki. Agent-based simulation and greenhouse gas emissions trading // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.535-540.
In this paper, we will introduce a simple framework to develop agent-based simulations systematically and consider an application of the agent-based simulation for a dynamical model of the international greenhouse gas emissions trading.

Murphy Craig A., Perera Terrence D. The definition and potential role of simulation within an aerospace company // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.829-837.
This paper discusses the issues of simulation definition, selection and integration with both business systems and each other. This also discusses the practical difficulties a business would encounter in the development of a fully digital environment through simulation integration, and data management.

Neuwirth E. (2001). Turtle Ballet: Simulating Parallel Turtles in a Nonparallel LOGO Version // Paper presented at the Eurologo 2001.

Nicol David M. Discrete event fluid modeling of TCP // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D J. Medeiros, and M.W. Rohrer, eds. P.1291-1299.
The bulk of Internet traffic is carried using variants of the TCP protocol. A realistic simulation-based performance study of any distributed application run over the Internet (e.g. reliable multicast) must therefore account for the impact that TCP background traffic has upon application behavior. Because TCP flows are shaped by other TCP flows, it is difficult to model TCP and its impact on other traffic other than by explicitly simulating it. This adds a significant computational burden to the simulation. This paper describes how we use fluid-based models of TCP to reduce the computational workload of simulating background TCP traffic.

Nicola, V.F., P. Shahabuddin, and M.K. Nakayama. 2001. Techniques for fast simulation of models of highly dependable systems. IEEE Transactions on Reliability 50:246–264.

Nordgren William B. Taylor Enterprise Dynamics // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.269-271.
Taylor Enterprise Dynamics (Taylor ED) is an object-oriented software system used to model, simulate, visualize, and monitor dynamic-flow process activities and systems. Atoms are Taylor ED’s smart objects and model building resources. In addition to Taylor ED’s standard atom libraries, users can create new atoms themselves. Taylor ED’s object-oriented architecture provides users with the ability to enhance and increase the functionality of the Taylor ED software system. It also provides simulation experts with a platform on which to create new simulation software programs for specific industries or for specific applications. Historically, Taylor ED has been used to model manufacturing, warehousing, and material handling processes.

Richard A. Phelps, David J. Parsons, Andrew J. Siprelle. SDI Supply Chain Builder: Simulation from Atoms to the Enterprise // Proceedings of the 2001 Winter Simulation Conference, p. 246-249.

Rodionov A.S., Antyufeev V.S., Choo H., Youn H.Y. Some Problems of Soft Handoff Modeling // Proc. of the Seventh International conference on Information Networks, Systems and Technologies, Belarus, October 2-4. 2001. Vol. 1. P. 34-38.

Rodionov A.S., Leskov D.V. Oberon-2 as successor of Modula-2 in simulation // Lect. Notes in Computer Science. 2001. Vol. 2244. P. 541-548.

Sargent R.G. Some approaches and paradigms for verifying and validating simulation models // Proceedings of the 2001 Winter Simulation Conference, 2001, p.106-114.

Schaefer Lisa A. Architecture using jini technology for simulation of an agent-based transportation system // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.1079-1083.
This paper describes an architecture for the simulation of a transportation system that uses agent technology to deliver people and goods from their origins to their destinations. The intent of the architecture is to analyze incremental changes to the existing transportation paradigm to determine what type of system we could plan for in the future. Each entity within the system that has computational power is simulated as an agent. This architecture is useful for experimenting with many different algorithms and strategies for improving transportation systems.

Schmeiser Bruce W. Some myths and common errors in simulation experiments // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.39-46.
During the more than fifty years that Monte Carlo simulation experiments have been performed on digital computers, a wide variety of myths and common errors have evolved. We discuss some of them, with a focus on probabilistic and statistical issues.

Schriber Thomas J., Brunner Daniel T. Inside discrete-event simulation software: how it works and why it matters // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.158-168.
This paper provides simulation practitioners and consumers with a grounding in how discrete-event simulation software works. Topics include discrete-event systems; entities, resources, control elements and operations; simulation runs; entity states; entity lists; and entity-list management. The implementation of these generic ideas in AutoMod, SLX, and Extend is described. The paper concludes with several examples of «why it matters» for modelers to know how their simulation software works, including coverage of SIMAN (Arena), ProModel, and GPSS/H as well as the other three tools.

Thomas J. Schriber, Peter Lorenz, Springer Cox, Julian Reitman, James O. Henriksen, Ingolf Stahl. GPSS turns 40: selected perspectives // Proceedings of the 2001 Winter Simulation Conference. Washington 2001. Р.565–576.
GPSS is celebrating its 40th birthday this year. We recognize this notable birthday by assembling a panel of discussants consisting of some of the folks who have contributed significantly to GPSS and its use over the years. The panelists are Springer Cox (GPSS/PC and GPSS World), Jim Henriksen (GPSS/H and Proof Animation), Peter Lorenz (promoter of GPSS in Europe and on the Web), Julian Reitman (principal in early interactive use and accommodation for largescale simulations), and Ingolf Ståhl (micro-GPSS for Windows and on the Web), with Tom Schriber (author of the «Red Book») as moderator. Each panelist has contributed written perspectives describing aspects of his involvement with GPSS. A Geoffrey Gordon memoriam is included in the paper. (Geoffrey Gordon, who conceived and evolved the idea for GPSS and brought about its IBM implementations, died in 1989.)

Schulze Thomas, Lemessi Marco, Filippi Francesco. Simulation of a night taxi-bus service for the historical center of Rome // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.1072-1078.
The Municipality of Rome plans to introduce a taxi-bus system as a night service. A micro-simulation model was developed to estimate the needed information. Two major topics regarding this model are presented. First, the iteration process for input parameters is described. The number of potential customers is determined by means of an external modal split model. Two input parameters for the external model are estimated by the micro-simulation model. An iteration process was used. The second topic is the integration of an optimization model into the micro-simulation model. Both simulation and optimization components were implemented in the simulation system SLX.

Schunk Daniel W., Bloechle Wendy K. Simulation interoperability with the micro saint simulation software and com services // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.239-245.
In today’s high tech world the need for interoperability among programs has never been more necessary. If a user were able to utilize different programs’ strengths in unison, then the ability for programs to work together would greatly expand current software’s ability to analyze. In response to this request, COM Services was added to the most recent release of Micro Saint. This paper will feature an example of how to apply interoperability to the Micro Saint simulation software as well as present some examples of how to further utilize COM Services.

Stahl Ingolf. GPSS - 40 years of development // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.577-585.
This year GPSS celebrates its 40th birthday. This paper reports on the development during these 40 years, starting with the first version developed by Gordon at IBM in 1961, and the following development of GPSS II, GPSS III, GPSS/360 and GPSS V, all IBM products. A major section is devoted to GPSS/H, which has dominated the GPSS scene during the last years. There is one section on the GPSSR family of GPSS versions and one on GPSS/PC and GPSS World. There are also many GPSS systems, projects and ideas of a mainly academic nature. A great number of GPSS textbooks are noted. The concluding section discusses the reasons for the popularity of GPSS.

Stanley Brian. The AutoMod product suite tutorial // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.209-216.
Whether designing a new system or modifying an existing one, engineers want to take the guesswork out of finding the best possible solution. While there are many analysis methods for designing industrial systems, simulation remains the method that provides the highest level of confidence that a system will perform. A well-written simulation model can be a valuable tool in the design, analysis, and operation of manufacturing and other complex systems. The AutoMod has been used on 1000s of projects to help engineers and managers make the best decisions possible.

Sutanto Soehodho. Dynamic logistics model for optimal delivery / Sutanto Soehodho // The19th International Conference of The System Dynamics Society (Atlanta, USA, 23-27 July, 2001). — New York: System Dynamic Society, 2001. — Pp. 545-550.

Swets Roderick J., Drake Glenn R. The Arena product family: enterprise modeling solutions // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.201-208.
This paper introduces the Arena suite of products for modeling, simulation, and optimization highlighting product architecture and technology features that are targeted toward successful deployment of simulation and Arena throughout an enterprise.

Tam P-W. (2001). E-Commerce (A Special Report): The Classroom – Tools of the future: Thanks to Technology, K-12 will never look the same // Wall Street Journal (Eastern edition). New York, New York. March 12, 2001. p. R28.

Tao Yu-Hui, Guo Shin-Ming. The design of a web-based training system for simulation analysis // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.645-652.
The success of a computer simulation project depends greatly on the effectiveness of simulation statistical analysis. Internet asynchronous web learning reduces the workload of classroom teaching. To help the novice learn better simulation problem solving, this research addresses designing the usability into computer-based training (CBT) environment by focusing on the simulation experience and the interaction design. A prototype asynchronous web CBT system was built for validating our design via a three-stageformative usability evaluation.

Vlasov S.A., Genkin A.L., Rozhkov I.M., Smirnov V.S. Computer simulation for integration of CAM and CAPP systems in steelmaking // Preprints of the 10th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2001): CD Proceedings. Vienna University of Technology: Vienna, Austria, 2001.

Wiedemann Thomas. Simulation application service providing (SIM-ASP) // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.623-628.
This paper considers advantages and actual problems of web based simulation systems. Based on a review of environments and languages for web based simulation, some fundamental requirements for successful simulations are presented. The goal is to change the technology-driven approach in a more customer oriented philosophy. The common concept of «Application Service Providing (ASP)» should be understood as a future technology for web based simulation environments. The paper presents a real Simulation ASP. The system is based on a database for all model and simulation data.

Wilensky U. (2001). Embodied Learning: Students Enacting Complex Dynamic Phenomena with the HubNet Architecture // Paper presented at the annual meeting of the American Educational Research Association. Seattle, WA.

Wilensky U. (2001). Emergent Entities and Emergent Processes: Constructing Emergence through Multi-agent programming // Paper presented at the annual meeting of the American Educational Research Association. Seattle, WA.

Wilensky U. (2001). Modeling nature's emergent patterns with multi-agent languages // Paper presented at EuroLogo 2001. Linz, Austria.

Williams Daniel L., Finke Daniel A., Medeiros D.J., Traband Mark T. Discrete simulation development for a proposed shipyard steel processing facility // Proceedings of the 2001 Winter Simulation Conference B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, eds. P.882-887.
This paper describes the efforts required to convert conceptual designs and undefined processes for a proposed advanced steel processing shipyard facility into a discrete event simulation. Modeling of a completely non-existent entity poses many difficulties, yet the results can still be beneficial.

James R. Wilson and David Goldsman Alan Pritsker's multifaceted career: theory, practice, education, entrepreneurship, and service // IIE Transactions (2001) 33, 139-147.