USA Stephen E. Chick, Paul J. Sanchez, David M. Ferrin, Douglas J. Morrice (Eds.):
Proceedings of the 35th Winter Simulation Conference: Driving Innovation, New Orleans, Louisiana, USA, December 7-10, 2003.
ACM 2003, ISBN 0-7803-8132-7
- Pierre L'Ecuyer:
Quasi-monte carlo methods in practice: quasi-monte carlo methods for simulation.
- Shane G. Henderson:
Input modeling: input model uncertainty: why do we care and what should we do about it?
- Seong-Hee Kim, Barry L. Nelson:
Selecting the best system: selecting the best system: theory and methods.
- Thomas J. Schriber, Daniel T. Brunner:
Inside simulation software: inside discrete-event simulation software: how it works and why it matters.
- Richard M. Fujimoto:
Parallel simulation: distributed simulation systems.
- Vijay Mehrotra, Jason Fama:
Call center simulations: call center simulation modeling: methods, challenges, and opportunities.
- Roberto Szechtman:
Control variate techniques for monte carlo simulation: control variates techniques for monte carlo simulation.
- Osman Balci:
Verification, validation, and certification of modeling and simulation applications: verification, validation, and certification of modeling and simulation applications.
- Lee Schruben, Theresa M. Roeder, Wai Kin Chan, Paul Hyden, Michael Freimer:
Advanced event scheduling methodology: advanced event scheduling methodology.
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.
- Charles R. Harrell, Rochelle N. Price:
Simulation modeling using promodel technology: simulation modeling using promodel technology.
- Wendy K. Bloechle, Daniel W. Schunk:
Micro saint sharp simulation software: micro saint sharp simulation software.
- David Krahl:
Extend: an interactive simulation tool: extend: an interactive simulation tool.
- William B. Nordgren:
Flexible simulation (Flexsim) software: Flexsim simulation environment.
- Matthew W. Rohrer:
Maximizing simulation ROI with AutoMod: maximizing simulation ROI with AutoMod.
- Vivek Bapat, David T. Sturrock:
The arena product family: enterprise modeling solutions: the arena product family: enterprise modeling solutions.
- 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.
- Jon H. Weyland, Michael J. Engiles:
Towards simulation-based business process management: towards simulation-based business process management.
Software/Modelware Tutorials b
- 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.
- Jeremy Staum:
State of the art tutorial II: simulations for financial engineering: efficient simulations for option pricing.
- Paul Glasserman, Jingyi Li:
New simulation methodology for risk analysis: importance sampling for a mixed Poisson model of portfolio credit risk.
- 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.
- N. K. Chidambaran:
New simulation methodology for risk analysis: genetic programming with monte carlo simulation for option pricing.
- Lawrence I. Goldman, Ethan Evans-Hilton, Hilary Emmett:
Risk analysis software tutorial I: crystal ball for Six Sigma tutorial.
- Jay April, Fred Glover, James P. Kelly:
Risk analysis software tutorial II: OptFolio - a simulation optimization system for project portfolio planning.
- Jeremy Staum, Samuel Ehrlichman, Vadim Lesnevski:
New simulation methodology for finance: work reduction in financial simulations.
- Athanassios N. Avramidis, Pierre L'Ecuyer, Pierre-Alexandre Tremblay:
New simulation methodology for finance: efficient simulation of gamma and variance-gamma processes.
- Martin B. Haugh:
New simulation methodology for finance: duality theory and simulation in financial engineering.
- William J. Morokoff:
Simulation methodology for collateralized debt and real options: simulation methods for risk analysis of collateralized debt obligations.
- Barry R. Cobb, John M. Charnes:
Simulation methodology for collateralized debt and real options: simulation and optimization for real options valuation.
- 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.
- Tarja Joro, Paul Na:
Simulation for risk management: a simulation-based credit default swap pricing approach under jump-diffusion.
- John M. Mulvey, Hafize G. Erkan:
Simulation for risk management: risk management of a P/C insurance company scenario generation, simulation and optimization.
- Aparna Gupta, Lingyi Zhang, Shivkumar Kalyanaraman:
Simulation for risk management: a two-component spot pricing framework for loss-rate guaranteed internet service contracts.
- Samuel G. Steckley, Shane G. Henderson:
Simulation input modeling: a kernel approach to estimating the density of a conditional expectation.
- Russell C. H. Cheng, Christine S. M. Currie:
Simulation input modeling: prior and candidate models in the Bayesian analysis of finite mixtures.
- Michael E. Kuhl, Sachin G. Sumant, James R. Wilson:
Simulation input modeling: a flexible automated procedure for modeling complex arrival processes.
- Rita Marques Brandão, Acácio M. O. Porta Nova:
Simulation output analysis: non-stationary queue simulation analysis using time series.
- Falko Bause, Mirko Eickhoff:
Simulation output analysis: truncation point estimation using multiple replications in parallel.
- Emily K. Lada, James R. Wilson, Natalie M. Steiger:
Simulation output analysis: a wavelet-based spectral method for steady-state simulation analysis.
- John S. Baras:
Simulation of large networks: modeling and simulation of telecommunication networks for control and management.
- John Shortle, Donald Gross, Brian L. Mark:
Simulation of large networks: efficient simulation of the National Airspace System.
- Jason R. W. Merrick, Varun Dinesh, Amita Singh, J. 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.
- E. Jack Chen, W. David Kelton:
Indifference zone selection procedures: inferences from indifference-zone selection procedures.
- Stephen E. Chick:
Indifference zone selection procedures: expected opportunity cost guarantees and indifference zone selection procedures.
- L. Jeff Hong, Barry L. Nelson:
Indifference zone selection procedures: an indifference-zone selection procedure with minimum switching and sequential sampling.
- Christos Alexopoulos, David Goldsman:
Special topics on simulation analysis: to batch or not to batch.
- Chun-Hung Chen, Donghai He, Enver Yücesan:
Special topics on simulation analysis: better-than-optimal simulation run allocation?
- Wai Kin Chan, Lee Schruben:
Special topics on simulation analysis: properties of discrete event systems from their mathematical programming representations.
- Ramya Dhamodaran, Bruce Shultes:
Queueing network simulation analysis: efficient analysis of rare events association with individual buffers in a tandem Jackson network.
- Ying-Chao Hung, George Michailidis, Derek R. Bingham:
Queueing network simulation analysis: developing efficient simulation methodology for complex queueing networks.
- Jamie R. Wieland, Raghu Pasupathy, Bruce W. Schmeiser:
Queueing network simulation analysis: queueing-network stability: simulation-based checking.
- Seong-Hee Kim:
Efficient simulation procedures: comparison with a standard via fully sequential procedures.
- Loo Hay Lee, Ek Peng Chew:
Efficient simulation procedures: a simulation study on sampling and selecting under fixed computing budget.
- Jihong Jin, Bruce W. Schmeiser:
Issues on simulation and optimization I: simulation-based retrospective optimization of stochastic systems: a family of algorithms.
- Charles D. McAllister:
Issues on simulation and optimization I: robust simulation-based design of hierarchical systems.
- Navara Chantarat, Ning Zheng, Theodore Allen, Deng Huang:
Issues on simulation and optimization I: optimal experimental design for systems involving both quantitative and qualitative factors.
- 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.
- Raghu Pasupathy, Bruce W. Schmeiser:
Issues on simulation and optimization II: some issues in multivariate stochastic root finding.
- Frederick Wieland, Thomas Curtis Holden:
Issues on simulation and optimization II: targeting aviation delay through simulation optimization.
- Russell C. H. Cheng, Owen D. Jones:
Issues on simulation and optimization II: robust hybrid designs for real-time simulation trials.
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.
- Mamadou K. Traoré:
Foundations of multi-paradigm modeling and simulation: a meta-theoretic approach to modeling and simulation.
- Vei-Chung Liang, Christiaan J. J. Paredis:
Foundations of multi-paradigm modeling and simulation: a port ontology for automated model composition.
- Pieter J. Mosterman:
Hybrid dynamic systems: mode transition behavior in hybrid dynamic systems.
- D. A. van Beek, Niek G. Jansen, J. E. Rooda, Ramon R. H. Schiffelers, Ka L. Man, Michel A. Reniers:
Hybrid dynamic systems: relating Chi to hybrid automata.
- Mariana C. D'Abreu, Gabriel A. Wainer:
Hybrid dynamic systems: models for continous and hybrid system simulation.
- David M. Nicol, Jason Liu, Michael Liljenstam, Guanhua Yan:
Simulation of large scale networks I: simulation of large-scale networks using SSF.
- Roger Curry, Rob Simmonds, Brian Unger:
Simulation of large scale networks I: modelling differentiated services in conservative PDES.
- Kevin Walsh II, Emin Gün Sirer:
Simulation of large scale networks I: staged simulation for improving scale and performance of wireless network simulations.
- George F. Riley:
Simulation of large scale networks II: large-scale network simulations with GTNetS.
- L. Felipe Perrone, Yougu Yuan, David M. Nicol:
Simulation of large scale networks II: modeling and simulation best practices for wireless ad hoc networks.
- Michael Liljenstam, Jason Liu, David M. Nicol:
Simulation of large scale networks II: development of an internet backbone topology for large-scale network simulations.
- 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.
- Boleslaw K. Szymanski, Yu Liu:
Simulation of large scale networks III: loosely-coordinated, distributed, packet-level simulation of large-scale networks.
- Jorge R. Ramos, Vernon Rego, Janche Sang:
Simulation of large scale networks III: an improved computational algorithm for round-robin service.
- Sigrid Wenzel, Jochen Bernhard, Ulrich Jessen:
Visualization for modeling and simulation: a taxonomy of visualization techniques for simulation in production and logistics.
- Wolfgang Müller, Heidrun Schumann:
Visualization for modeling and simulation: visualization methods for time-dependent data - an overview.
- Pavel Slavík, Marek Gayer, Frantisek Hrdlicka, Ondrej Kubelka:
Visualization for modeling and simulation: problems of visualization of technological processes.
- Paul A. Fishwick, Jinho Lee, Minho Park, Hyunju Shim:
Next generation modeling I: RUBE: a customized 2d and 3d modeling framework for simulation.
- Thomas Nocke, Heidrun Schumann, Uwe Böhm, Michael Flechsig:
Next generation modeling I: information visualization supporting modelling and evaluation tasks for climate models.
- Michael D. Ryde, Simon J. E. Taylor:
Next generation modeling I: issues using cots simulation software packages for the interoperation of models.
- Stephan Diehl, Carsten Görg:
Next generation modeling II - applications: experiencing natural phenomena with virtual, constructed and mathematical models.
- Nicholas 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.
- Durk-Jouke van der Zee:
Next generation modeling II - applications: modeling control in manufacturing simulation.
- Jan Himmelspach, Mathias Röhl, Adelinde Uhrmacher:
Next generation modeling III - agents: simulation for testing software agents - an exploration based on James.
- Surya Dev Pathak, David M. Dilts, Gautam Biswas:
Next generation modeling III - agents: a multi-paradigm simulator for simulating complex adaptive supply chain networks.
- Patrick Riley, George F. Riley:
Next generation modeling III - agents: Spades - a distributed agent simulation environment with software-in-the-loop execution.
Modeling Methodology b
- Csaba Attila Boer, Alexander Verbraeck:
Distributed simulation and manufacturing: distributed simulation with cots simulation packages.
- Simon J. E. Taylor, Jon Sharpe, John Ladbrook:
Distributed simulation and manufacturing: time management issues in cots distributed simulation: a case study.
- Boon-Ping Gan, 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.
- Yi Zeng, Wentong Cai, Stephen John Turner:
Parallel distributed simulation and modeling methods: causal order based time warp: a tradeoff of optimism.
- Michael D. Peters, Christopher D. Carothers:
Parallel distributed simulation and modeling methods: an algorithm for fully-reversible optimistic parallel simulation.
- 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.
- 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.
- Harald Rueß, Leonardo Mendonça de Moura:
Simulation and verification I: from simulation to verification (and back).
- Corrado Priami:
Simulation and verification I: design environments for complex systems.
- Ricky W. Butler, Jeffrey Maddalon, Alfons Geser, César Muñoz:
Simulation and verification I: formal analysis of air traffic management systems: the case of conflict resolution and recovery.
- Darren D. Cofer, Murali Rangarajan:
Simulation and verification II: event-triggered environments for verification of real-time systems.
- Norbert Giambiasi, Jean-Luc Paillet, Frédéric Châne:
Simulation and verification II: from timed automata to DEVS models.
- Kareem S. Aggour, Renee Guhde, Melvin K. Simmons, Michael J. Simon:
Simulation and verification II: simulating quantum computing: quantum express.
- James F. Dunnigan:
Military keynote: wargames, preemption and a lot of other curious behavior.
- Gary W. King, Clayton T. Morrison, Paul R. Cohen:
Agent models I: action models.
- Susan M. Sanchez, Hsin-Fu Wu:
Agent models I: frequency-based designs for terminating simulations: a peace-enforcement example.
- Joseph Manojlovich, Phongsak Prasithsangaree, Stephen B. Hughes, Jinlin Chen, Michael Lewis:
Agent models I: UTSAF: a multi-agent-based framework for supporting military-based distributed interactive simulations in 3D virtual environments.
- Daniel Fu, Randy Jensen, Ryan T. Houlette:
Human systems modeling: specifying the behavior of computer-generated forces without programming.
- Tom Hughes II, Evan Rolek:
Human systems modeling: fidelity and validity: issues of human behavioral representation requirements development.
- Christopher R. Hale:
Human systems modeling: assessing technology effects on human performance through trade space development and evaluation.
- Lance E. Champagne, R. Greg Carl, Raymond R. Hill:
Agent models II: search theory, agent-based simulation, and U-boats in the Bay of Biscay.
- Subhashini Ganapathy, Raymond R. Hill:
Agent models II: dynamic path-planning for search and destroy missions - the Bay of Biscay scenario.
- Lance E. Champagne:
Agent models II: Bay of Biscay: extensions into modern military issues.
- Subhashini Ganapathy, Sundaram Narayanan, Krishnamurthy Srinivasan:
Logistics: simulation based decision support for supply chain logistics.
- Paul D. Faas, John O. Miller:
Logistics: impact of an autonomic logistics system (ALS) on the sortie generation process.
- Bob Hamber:
Logistics: T.LoaDS treatment of assigning and filling orders.
- Sasanka V. Prabhala, Jennie J. Gallimore, Sundaram Narayanan:
Emerging areas: urban operations and UCAVs: human effectiveness issues in simulated uninhabited combat aerial vehicles.
- Jijun Wang, Michael Lewis, Jeffrey Gennari:
Emerging areas: urban operations and UCAVs: a game engine based simulation of the NIST urban search and rescue arenas.
- Thomas M. Cioppa, John B. Willis, Niki Deliman Goerger, Lloyd P. Brown:
Emerging areas: urban operations and UCAVs: research plan development for modeling and simulation of military operations in urban terrain.
- Francis A. Bowers, David L. Prochnow:
Simulation for emergency response: JTLS-JCATS federation support of emergency response training.
- Jack Corley, Dan Lejerskar:
Simulation for emergency response: homeland defense center network - capitalizing on simulation, modeling and visualization for emergency preparedness, response and mitigation.
- Sanjay Jain, Charles R. McLean:
Simulation for emergency response: a framework for modeling and simulation for emergency response.
- Seng Chuan Tay, Gary S. H. Tan, Karthik Shenoy:
Algorithms and analyses: piggy-backed time-stepped simulation with "super-stepping".
- Thomas P. Duncan, Denis Gracanin:
Algorithms and analyses: pre-reckoning algorithm for distributed virtual environments.
- Patrick J. Delaney:
Algorithms and analyses: simulation modeling and analysis in support of brigade assault bridging operations planning.
- Christopher Michael Hill, Linda C. Malone:
Support to decision makers: caveats for simulation modeling in support of decision making.
- Ozan Pembe, Ihsan Sabuncuoglu:
Support to decision makers: evaluation of army corps food supply system using simulation.
- John B. Gilmer Jr., Frederick J. Sullivan:
Support to decision makers: the use of recursive simulation to support decisionmaking.
- Luis Rabelo, Magdy Helal, Albert Jones, Jason Min, Young-Jun Son, Abhijit Deshmukh:
New manufacturing modeling methodology: a hybrid approach to manufacturing enterprise simulation.
- Bashar H. Sader, Carl D. Sorensen:
New manufacturing modeling methodology: deterministic and stochastic dynamic modeling of continuous manufacturing systems using analogies to electrical systems.
- Guixiu Qiao, Frank Riddick, Charles R. McLean:
New manufacturing modeling methodology: data driven design and simulation system based on XML.
- Gary S. H. Tan, Na Zhao, Simon J. E. Taylor:
Distributed simulation in manufacturing: automobile manufacturing supply chain simulation in the grids environment.
- Kenneth M. Hopkinson, Kenneth P. Birman, Renan Giovanini, Denis V. Coury, Xiaoru Wang, James S. Thorp:
Distributed simulation in manufacturing: EPOCHS: integrated commercial off-the-shelf software for agent-based electric power and communication simulation.
- Sameh M. Saad, Terrence D. Perera, Ruwan Wickramarachchi:
Distributed simulation in manufacturing: simulation of distributed manufacturing enterprises: a new approach.
- Silvanus T. Enns, Pattita Suwanruji:
Simulation test bed for manufacturing analysis: a simulation test bed for producton and supply chain modeling.
- Germán Riaño, Richard F. Serfozo, Steven Hackman, Szu Hui Ng, Lai Peng Chan, Peter Lendermann:
Simulation test bed for manufacturing analysis: benchmarking of a stochastic production planning model in a simulation testbed.
- Christoph Roser, Masaru Nakano, Minoru Tanaka:
Simulation test bed for manufacturing analysis: comparison of bottleneck detection methods for AGV systems.
- Demet C. Wood, Echo A. Harger:
Simulation in automotive industries: reducing human error in simulation in General Motors.
- Yong-Hee Han, Chen Zhou, Bert Bras, Leon F. McGinnis, Carol Carmichael, P. J. Newcomb:
Simulation in automotive industries: paint line color change reduction in automobile assembly through simulation.
- Tim Baines, Linda Hadfield, Steve Mason, John Ladbrook:
Simulation in automotive industries: using empirical evidence of variations in worker performance to extend the capabilities of discrete event simulations in manufacturing.
- Charles R. McLean, Guodong Shao:
Manufacturing case studies: generic case studies for manufacturing simulation applications.
- Can Hulusi Türkseven, Gürdal Ertek:
Manufacturing case studies: simulation modeling for quality and productivity in steel cord manufacturing.
- Roberto F. Lu, Guixiu Qiao, Charles R. McLean:
Manufacturing case studies: NIST XML simulation interface specification at Boeing: a case study.
- Christoph Roser, Masaru Nakano, Minoru Tanaka:
Manufacturing analysis and control: buffer allocation model based on a single simulation.
- Prasad V. Saraph:
Manufacturing analysis and control: shared resource capacity analysis in biotech manufacturing.
- Amitava Nandi, Paul Rogers:
Manufacturing analysis and control: behavior of an order release mechanism in a make-to-order manufacturing system with selected order acceptance.
- Hongwei Ding, Lyès Benyoucef, Xiaolan Xie:
Simulation optimization in manufacturing analysis: a simulation-optimization approach using genetic search for supplier selection.
- Tu Hoang Truong, Farhad Azadivar:
Simulation optimization in manufacturing analysis: simulation based optimization for supply chain configuration design.
- Qisheng Le, Gerald Knapp:
Simulation optimization in manufacturing analysis: incorporating fuzzy logic admission control in simulation models.
- Phani S. Mukkamala, Jeffrey S. Smith, Jorge F. Valenzuela:
Neutral information structure for manufacturing simulations: designing reusable simulation modules for electronics manufacturing systems.
- Björn Johansson, Joacim Johnsson, Anders Kinnander:
Neutral information structure for manufacturing simulations: information structure to support discrete event simulation in manufacturing systems.
- Y. Tina Lee, Charles R. McLean, Guodong Shao:
Neutral information structure for manufacturing simulations: a neutral information model for simulating machine shop operations.
- Haifeng Xi, Heng Cao, Leonard Berman, David Jensen:
Supply chain simulation: distributed supply chain simulation using a generic job running framework.
- Heng Cao, Feng Cheng, Haifeng Xi, Markus Ettl, Stephen J. Buckley, Carlos Rodriguez:
Supply chain simulation: a simulation-based tool for inventory analysis in a server computer manufacturing environment.
- David F. Muñoz:
Supply chain simulation: a Bayesian framework for modeling demand in supply chain simulation experiments.
- Kazuo Miyashita, Kazuyuki Senoh, Hiroyuki Ozaki, Hirofumi Matsuo:
Factory scheduling and dispatching: constant time interval production planning with application to WIP control in semiconductor fabrication.
- Lars Mönch, Ilka Habenicht:
Factory scheduling and dispatching: simulation-based assessment of batching heuristics in semiconductor manufacturing.
- Oliver Rose:
Factory scheduling and dispatching: accelerating products under due-date oriented dispatching rules in semiconductor manufacturing.
- Dima Nazzal, Douglas A. Bodner:
Automated material handling systems: a simulation-based design framework for automated material handling systems in 300mm fabrication facilities.
- Anne M. Murray, David J. Miller:
Automated material handling systems: automated reticle handling: a comparison of distributed and centralized reticle storage and transport.
- Roland Sturm, Joachim Seidelmann, Johann Dorner, Kevin Reddig:
Automated material handling systems: an approach to robust layout planning of AMHS.
- Orkun Ozturk, Melissa Boom Coburn, Steve Kitterman:
Factory capacity and throughput planning: conceptualization, design and implementation of a static capacity model.
- Jennifer E. McNeill, Gerald T. Mackulak, John W. Fowler:
Factory capacity and throughput planning: indirect estimation of cycle time quantiles from discrete event simulation models using the Cornish-Fisher expansion.
- Holger Vogt:
Factory capacity and throughput planning: discrete-event simulation using systemc: interactive semiconductor factory modeling with FabSim.
- Brian P. Prescott, Todd LeBaron:
Process equipment modeling: making optimal design decisions for next generation dispensing tools.
- Sameer T. Shikalgar, David Fronckowiak, Edward A. MacNair:
Process equipment modeling: application of cluster tool modeling to a 300 mm fab simulation.
- Nirmal Govind, David Fronckowiak:
Process equipment modeling: resident-entity based simulation of batch chamber tools in 300mm semiconductor manufacturing.
- Eunkyoung G. Cho, Kristin A. Thoney, Thom J. Hodgson, Russell E. King:
Supply chain planning: rolling horizon scheduling of multi-factory supply chains.
- Heng Cao, Haifeng Xi, Stephen F. Smith:
Supply chain planning: a reinforcement learning approach to production planning in the fabrication/fulfillment manufacturing process.
- Sam Bansal:
Supply chain planning: theory and practice of advanced planner and optimizer in supply chain domain.
- Chin Soon Chong, Appa Iyer Sivakumar, Robert K. L. Gay:
Factory scheduling: simulation based scheduling using a two-pass approach.
- Jeffrey A. Joines, Andrew B. Sutton, Kristin A. Thoney, Russell E. King, Thom J. Hodgson:
Factory scheduling: implementing a simulation-based scheduling system for a two-plant operation.
- Juha-Matti Lehtonen, Patrik Appelqvist, Teemu Ruohola, Ilkka Mattila:
Factory scheduling: simulation-based finite scheduling at Albany International.
- Mukesh Dalal, Brett Groel, Armand Prieditis II:
Dynamic scheduling I: real-time decision making using simulation.
- Chin Soon Chong, Appa Iyer Sivakumar, Robert K. L. Gay:
Dynamic scheduling I: simulation-based scheduling for dynamic discrete manufacturing.
- Raja Sunkara, Ramesh R. Rao:
Dynamic scheduling I: use of discrete event simulation to analyze dispatch policies of an equipment group in semiconductor fab.
- Durk-Jouke van der Zee:
Dynamic scheduling II: look-ahead strategies for controlling batch operations in industry - an overview.
- Kieran H. Concannon, Kim I. Hunter, Jillian M. Tremble:
Dynamic scheduling II: SIMUL8-planner simulation-based planning and scheduling.
- Sugree Phatanapherom, Putchong Uthayopas, Voratas Kachitvichyanukul:
Dynamic scheduling II: fast simulation model for grid scheduling using HyperSim.
Construction Engineering and Project Management
- Daniel W. Halpin, Henyi Jen, Jungwuk Kim:
Construction engineering and project management I: a construction process simulation web service.
- Lingguang Song, Simaan M. AbouRizk:
Construction engineering and project management I: building a virtual shop model for steel fabrication.
- Vineet R. Kamat, Julio C. Martínez:
Construction engineering and project management I: variable-speed resource motion in animations of discrete-event process models.
- Jan A. Elfving, Iris D. Tommelein:
Construction engineering and project management II: impact of multitasking and merge bias on procurement of complex equipment.
- Albert Agbulos, Simaan M. AbouRizk:
Construction engineering and project management II: an application of lean concepts and simulation for drainage operations maintenance crews.
- Anil Sawhney, Howard H. Bashford, Kenneth D. Walsh, Ajith Rao Mulky:
Construction engineering and project management II: agent-based modeling and simulation in construction.
- Kenneth D. Walsh, Anil Sawhney, Howard H. Bashford:
Construction engineering and project management III: simulation of the residential lumber supply chain.
- Amlan Mukherjee, Eddy M. Rojas:
Construction engineering and project management III: reasoning about actions and events in situational simulations.
- Brenda McCabe:
Construction engineering and project management III: monte carlo simulation for schedule risks.
Applications in Logistics,
- Donna D. Mayo, Knud Erik Wichmann:
Strategy simulations: tutorial on business and market modeling to aid strategic decision making: system dynamics in perspective and selecting appropriate analyssis approaches.
- Donna D. Mayo, William J. Dalton, Martin J. Callaghan:
Strategy simulations: steering strategic decisions at london underground: evaluating management options with system dynamics.
- Niels Erik Larsen:
Supply chain and distribution network: simulation - a key tool to accelerate and add confidence to postal network configuration.
- Gary W. Godding, Hessam S. Sarjoughian, Karl G. Kempf:
Supply chain and distribution network: semiconductor supply network simulation.
- Luiz Augusto Gago Franzese, Marcelo Moretti Fioroni, Rui Carlos Botter:
Supply chain and distribution network: railroad simulator on closed loop.
- Niels Stchedroff, Russell C. H. Cheng:
Supply chain management simulation: modelling a continuous process with discrete simulation techniques and its application to LNG supply chains.
- Manuel D. Rossetti, Hin-Tat Chan:
Supply chain management simulation: a prototype object-oriented supply chain simulation framework.
- Malay A. Dalal, Henry Bell, Mike Denzien, Michael P. Keller:
Supply chain management simulation: initializing a distribution supply chain simulation with live data.
- Soemon Takakuwa, Tomoki Oyama:
Modeling people flow: simulation analysis of international-departure passenger flows in an airport terminal.
- André Hanisch, Juri Tolujew, Klaus Richter, Thomas Schulze:
Modeling people flow: online simulation of pedestrian flow in public buildings.
- Michael Hunter, Randy Machemehl:
Modeling people flow: development and validation of a flexible, open architecture, transportation simulation.
- Neera P. Sood, Frederick Wieland:
Simulation of airports/aviation systems: Total Airport and Airspace Model (TAAM) parallelization combining sequential and parallel algorithms for performance enhancement.
- Loo Hay Lee, Huei Chuen Huang, Chulung Lee, Ek Peng Chew, Wikrom Jaruphongsa, Yean Yik Yong, Zhe Liang, Chun How Leong, Yen Ping Tan, Kalyan Namburi, Ellis L. Johnson, Jerry Banks:
Simulation of airports/aviation systems: discrete event simulation model for airline operations: SIMAIR.
- Justin Boesel:
Simulation of airports/aviation systems: simulating aircraft delay absorption.
- Thomas Curtis Holden, Frederick Wieland:
Simulation planning and rostering: runway schedule determination by simulation optimization.
- Massoud Bazargan-Lari, Payal Gupta, Seth Young:
Simulation planning and rostering: a simulation approach to manpower planning.
- Rainer Guttkuhn, Todd Dawson, Udo Trutschel, Jon Walker, Mike Moroz:
Simulation planning and rostering: a discrete event simulation for the crew assignment process in north american freight railroads.
- Daiheng Ni, John D. Leonard:
Traffic and road planning simulation: simulation of freeway merging and diverging behavior.
- Othmar Koch, K. Heinz Weigl:
Traffic and road planning simulation: modeling ambulance service of the austrian Red Cross.
- Alan Cowdale:
Traffic and road planning simulation: simulation modelling in support of emergency fire-fighting in Norfolk.
- Jinghua Xu, Kathleen L. Hancock, Frank Southworth:
Freight simulation: dynamic freight traffic simulation providing real-time information.
- Masami Amano, Takayuki Yoshizumi, Hiroyuki Okano:
Freight simulation: the modal-shift transportation planning problem and its fast steepest descent algorithm.
- Deniz Özdemir, Enver Yücesan, Yale T. Herer:
Freight simulation: a monte carlo simulation approach to the capacitated multi-location transshipment problem.
- Eelco van Asperen, Rommert Dekker, Mark Polman, Henk de Swaan Arons:
Waterway, shipping, and ports: modeling ship arrivals in ports.
- Nicholas P. Anderson, Gerald W. Evans, William E. Biles, Todd C. Whyte:
Waterway, shipping, and ports: optimization of a barge transportation system for petroleum delivery.
- Amy Bush, William E. Biles, Gail W. DePuy:
Waterway, shipping, and ports: iterative optimization and simulation of barge traffic on an inland waterway.
Business Process Modeling/Reengineering
- Cem M. Baydar:
The role of special agents in today's world: agent-based modeling and simulation of store performance for personalized pricing.
- Hartwig Baumgaertel, Ulrich John:
The role of special agents in today's world: combining agent-based supply net simulation and constraint technology for highly efficient simulation of supply networks using APS systems.
- James K. Hazy, Brian F. Tivnan:
The role of special agents in today's world: simulating agent intelligence as local network dynamics and emergent organizational outcomes.
- Lev Virine, Lisa Rapley:
The process of process reengineering: visualization of probabilistic business models.
- Ray J. Paul, Alan Serrano:
The process of process reengineering: simulation for business processes and information systems design.
- Peter Lendermann, Nirupam Julka, Lai Peng Chan, Boon-Ping Gan:
The process of process reengineering: integration of discrete event simulation models with framework-based business applications.
- Juta Pichitlamken, Alexandre Deslauriers, Pierre L'Ecuyer, Athanassios N. Avramidis:
Customer relations management: call center operations: modelling and simulation of a telephone call center.
- Ger Koole, Auke Pot, Jerome Talim:
Customer relations management: call center operations: routing heuristics for multi-skill call centers.
- Ahmad D. Ridley, Michael C. Fu, William A. Massey:
Customer relations management: call center operations: fluid approximations for a priority call center with time-varying arrivals.
- Júlíus Atlason, Marina A. Epelman, Shane G. Henderson:
Customer relations management: service operations: using simulation to approximate subgradients of convex performance measures in service systems.
- Suna Hafizogullari, Gloria Bender, Cenk Tunasar:
Customer relations management: service operations: simulation's role in baggage screening at the airports: a case study.
- Rainer Guttkuhn, Udo Trutschel, Anneke Heitmann, Acacia Aguirre, Martin Moore-Ede:
Customer relations management: service operations: human fatigue risk simulations in 24/7 operations.
- Mark Schouwenaar, Eleazer Martin:
Process improvement: optimization of a telecommunications billing system.
- Roar Grønhaug, Eleazer Martin, Per-Åge Bæra:
Process improvement: one size fits all? segmenting customer base for maximum returns.
- Peter Bosch:
Process improvement: simulations on .Net using Highpoint's HighMASTTM simulation toolkit.
- Thomas F. Brady:
Public health: emergency management: capability analysis of critical incident response.
- Vera Z. Osidach, Michael C. Fu:
Public health: computer simulation of a mobile examination center.
- Eleazer Martin, Roar Grønhaug, Kristin Haugene:
Public health: proposals to reduce over-crowding, lengthy stays and improve patient care: study of the geriatric department in Norway's largest hospital.
- Bradley P. Morrison, Barbara C. Bird:
Healthcare process analysis: a methodology for modeling front office and patient care processes in ambulatory health care.
- Ruby E. Blasak, Darrell W. Starks, Wendy S. Armel, Mary C. Hayduk:
Healthcare process analysis: the use of simulation to evaluate hospital operations between the emergency department and a medical telemetry unit.
- Cathy Wong, Glen Geiger, Yaron D. Derman, Carolyn R. Busby, Michael W. Carter:
Healthcare process analysis: redesigning the medication ordering, dispensing, and administration process in an acute care academic health sciences centre.
- Felipe F. Baesler, Hector E. Jahnsen, Mahal DaCosta:
Emergency departments I: the use of simulation and design of experiments for estimating maximum capacity in an emergency room.
- Simon Samaha, Wendy S. Armel, Darrell W. Starks:
Emergency departments I: the use of simulation to reduce the length of stay in an emergency department.
- Allan Wiinamaki, Rainer Dronzek:
Emergency departments I: using simulation in the architectural concept phase of an emergency department design.
- Siddharth Mahapatra, Charles P. Koelling, Lisa Patvivatsiri, Barbara M. P. Fraticelli, David Eitel, L. Grove:
Emergency departments II: pairing emergency severity index5-level triage data with computer aided system design to improve emergency department access and throughput.
- Martin J. Miller, David M. Ferrin, Jill M. Szymanski:
Emergency departments II: simulating Six Sigma improvement ideas for a hospital emergency department.
- Martha A. Centeno, Ronald E. Giachetti, Richard J. Linn, Abdullah M. Ismail:
Emergency departments II: a simulation-ilp based tool for scheduling ER staff.
- Ingolf Ståhl, Raymond R. Hill, Joan M. Donohue, Henry Herper, Catherine M. Harmonosky, W. David Kelton:
Teaching the classics of simulation to beginners, panel: teaching the classics of simulation to beginners (panel).
- Thomas J. Schriber, Jerry Banks, Andrew F. Seila, Ingolf Ståhl, Averill M. Law, Richard G. Born:
Simulation textbooks - old and new, panel: simulation text books - old and new (panel).
- Richard G. Born:
Introductory teaching of simulation: teaching discrete event simulatation to business students: the alpha and omega.
- Henry Herper, Ingolf Ståhl:
Introductory teaching of simulation: modeling and simulation in high school education - two European examples.
- Melanie L. Hatch, Donald L. Byrkett:
Introductory teaching of simulation: designing simulation projects.
- Ray J. Paul, Tillal Eldabi, Jasna Kuljis:
Perspectives on simulation in education and training: simulation education is no substitute for intelligent thinking.
- Leonardo Chwif, Marcos Ribeiro Pereira Barretto:
Perspectives on simulation in education and training: simulation models as an aid for the teaching and learning process in operations management.
- Eberhard Blümel, Axel Hintze, Torsten Schulz, Marco Schumann, Stefan Stüring:
Perspectives on simulation in education and training: virtual environments for the training of maintenance and service tasks.
Future of Simulation
Copyright © Mon Nov 2 21:22:05 2009
by Michael Ley (firstname.lastname@example.org)
- Daniel T. Brunner, James O. Henriksen, Ricki G. Ingalls, Mani S. Manivannan, Barry L. Nelson, Cindy Schiess:
Role of WSC in simulation, panel: panel session: the future of the Winter Simulation Conference.
- Charles R. McLean, Swee Leong, Charley Harrell, Philomena M. Zimmerman, Roberto F. Lu:
Simulation standards: current status, needs, future directions, panel: simulation standards: current status, needs, and future directions.
- Randall R. Gibson, Deborah J. Medeiros, Andrew Sudar, Bill Waite, Matthew W. Rohrer:
Determining the ROI for simulation, panel: increasing return on investment from simulation (panel).
- Jerry Banks, Joseph Hugan, Peter Lendermann, Charles R. McLean, Ernest H. Page, Claude Dennis Pegden, Onur M. Ülgen, James R. Wilson:
Future of the simulation industry, panel: the future of the simulation industry.
- Russell R. Barton, Paul A. Fishwick, James O. Henriksen, Robert G. Sargent, Janet M. Twomey:
Simulation technology panel: panel: simulation - past, present and future.