Abstract is missing.
- Only wet babies like changeStephen Shapiro. 3 [doi]
- Introduction to simulation: introduction to modeling and simulationJohn S. Carson II. 7-13 [doi]
- Input modeling: input modelingLawrence Leemis. 14-24 [doi]
- Spreadsheet simulation: spreadsheet simulationAndrew F. Seila. 25-30 [doi]
- Tips for successful practice of simulation: tips for successful practice of simulationDeborah A. Sadowski, Mark R. Grabau. 31-36 [doi]
- Verification and validation: verification and validation of simulation modelsRobert G. Sargent. 37-48 [doi]
- Output analysis: analysis of simulation outputMarvin K. Nakayama. 49-58 [doi]
- Experimental design for simulation: experimental design for simulationW. David Kelton, Russell R. Barton. 59-65 [doi]
- Designing a simulation study: how to conduct a successful simulation studyAverill M. Law. 66-70 [doi]
- Simulation-based optimization: practical introduction to simulation optimizationJay April, Fred Glover, James P. Kelly, Manuel Laguna. 71-78 [doi]
- Quasi-monte carlo methods in practice: quasi-monte carlo methods for simulationPierre L Ecuyer. 81-89 [doi]
- Input modeling: input model uncertainty: why do we care and what should we do about it?Shane G. Henderson. 90-100 [doi]
- Selecting the best system: selecting the best system: theory and methodsSeong-Hee Kim, Barry L. Nelson. 101-112 [doi]
- Inside simulation software: inside discrete-event simulation software: how it works and why it mattersThomas J. Schriber, Daniel T. Brunner. 113-123 [doi]
- Parallel simulation: distributed simulation systemsRichard M. Fujimoto. 124-134 [doi]
- Call center simulations: call center simulation modeling: methods, challenges, and opportunitiesVijay Mehrotra, Jason Fama. 135-143 [doi]
- Control variate techniques for monte carlo simulation: control variates techniques for monte carlo simulationRoberto Szechtman. 144-149 [doi]
- Verification, validation, and certification of modeling and simulation applications: verification, validation, and certification of modeling and simulation applicationsOsman Balci. 150-158 [doi]
- Advanced event scheduling methodology: advanced event scheduling methodologyLee Schruben, Theresa M. Roeder, Wai Kin Chan, Paul Hyden, Michael Freimer. 159-165 [doi]
- ExpertFit distribution-fitting software: how the ExpertFit distribution-fitting software can make your simulation models more validAverill M. Law, Michael G. McComas. 169-174 [doi]
- Simulation modeling using promodel technology: simulation modeling using promodel technologyCharles R. Harrell, Rochelle N. Price. 175-181 [doi]
- Micro saint sharp simulation software: micro saint sharp simulation softwareWendy K. Bloechle, Daniel W. Schunk. 182-187 [doi]
- Extend: an interactive simulation tool: extend: an interactive simulation toolDavid Krahl. 188-196 [doi]
- Flexible simulation (Flexsim) software: Flexsim simulation environmentWilliam B. Nordgren. 197-200 [doi]
- Maximizing simulation ROI with AutoMod: maximizing simulation ROI with AutoModMatthew W. Rohrer. 201-209 [doi]
- The arena product family: enterprise modeling solutions: the arena product family: enterprise modeling solutionsVivek Bapat, David T. Sturrock. 210-217 [doi]
- Object-oriented simulation with SML and Silk in Java and .Net: object-oriented simulation with SML and silk in .Net and JavaRichard A. Kilgore. 218-224 [doi]
- Towards simulation-based business process management: towards simulation-based business process managementJon H. Weyland, Michael J. Engiles. 225-227 [doi]
- Supply chain simulation software I: supply chain simulation and analysis with SimFlex?Edward J. Williams, Ali K. Gunal. 231-237 [doi]
- Supply chain simulation software II: benefits of using a supply chain simulation tool to study inventory allocationAndrew J. Siprelle, David J. Parsons, Robin J. Clark. 238-245 [doi]
- State of the art tutorial I: simulation modeling for finance and insurance: applications of simulation models in finance and insuranceThomas N. Herzog, Graham Lord. 249-257 [doi]
- State of the art tutorial II: simulations for financial engineering: efficient simulations for option pricingJeremy Staum. 258-266 [doi]
- New simulation methodology for risk analysis: importance sampling for a mixed Poisson model of portfolio credit riskPaul Glasserman, Jingyi Li. 267-275 [doi]
- New simulation methodology for risk analysis: rare-event, heavy-tailed simulations using hazard function transformations, with applications to value-at-riskZhi Huang, Perwez Shahabuddin. 276-284 [doi]
- New simulation methodology for risk analysis: genetic programming with monte carlo simulation for option pricingN. K. Chidambaran. 285-292 [doi]
- Risk analysis software tutorial I: crystal ball for Six Sigma tutorialLawrence I. Goldman, Ethan Evans-Hilton, Hilary Emmett. 293-300 [doi]
- Risk analysis software tutorial II: OptFolio - a simulation optimization system for project portfolio planningJay April, Fred Glover, James P. Kelly. 301-309 [doi]
- New simulation methodology for finance: work reduction in financial simulationsJeremy Staum, Samuel Ehrlichman, Vadim Lesnevski. 310-318 [doi]
- New simulation methodology for finance: efficient simulation of gamma and variance-gamma processesAthanassios N. Avramidis, Pierre L Ecuyer, Pierre-Alexandre Tremblay. 319-326 [doi]
- New simulation methodology for finance: duality theory and simulation in financial engineeringMartin B. Haugh. 327-334 [doi]
- Simulation methodology for collateralized debt and real options: simulation methods for risk analysis of collateralized debt obligationsWilliam J. Morokoff. 335-342 [doi]
- Simulation methodology for collateralized debt and real options: simulation and optimization for real options valuationBarry R. Cobb, John M. Charnes. 343-350 [doi]
- Simulation methodology for collateralized debt and real options: a new methodology to evaluate the real options of investment using binomial trees and monte carlo simulationMichele Amico, Zbigniew J. Pasek, Farshid Asl, Giovanni Perrone. 351-359 [doi]
- Simulation for risk management: a simulation-based credit default swap pricing approach under jump-diffusionTarja Joro, Paul Na. 360-363 [doi]
- Simulation for risk management: risk management of a P/C insurance company scenario generation, simulation and optimizationJohn M. Mulvey, Hafize G. Erkan. 364-371 [doi]
- Simulation for risk management: a two-component spot pricing framework for loss-rate guaranteed internet service contractsAparna Gupta, Lingyi Zhang, Shivkumar Kalyanaraman. 372-380 [doi]
- Simulation input modeling: a kernel approach to estimating the density of a conditional expectationSamuel G. Steckley, Shane G. Henderson. 383-391 [doi]
- Simulation input modeling: prior and candidate models in the Bayesian analysis of finite mixturesRussell C. H. Cheng, Christine S. M. Currie. 392-398 [doi]
- Simulation input modeling: a flexible automated procedure for modeling complex arrival processesMichael E. Kuhl, Sachin G. Sumant, James R. Wilson. 399-407 [doi]
- Simulation output analysis: non-stationary queue simulation analysis using time seriesRita Marques Brandão, Acácio M. O. Porta Nova. 408-413 [doi]
- Simulation output analysis: truncation point estimation using multiple replications in parallelFalko Bause, Mirko Eickhoff. 414-421 [doi]
- Simulation output analysis: a wavelet-based spectral method for steady-state simulation analysisEmily K. Lada, James R. Wilson, Natalie M. Steiger. 422-430 [doi]
- Simulation of large networks: modeling and simulation of telecommunication networks for control and managementJohn S. Baras. 431-440 [doi]
- Simulation of large networks: efficient simulation of the National Airspace SystemJohn Shortle, Donald Gross, Brian L. Mark. 441-448 [doi]
- Simulation of large networks: propagation of uncertainty in a simulation-based maritime risk assessment model utilizing Bayesian simulation techniquesJason R. W. Merrick, Varun Dinesh, Amita Singh, J. René van Dorp, Thomas A. Mazzuchi. 449-455 [doi]
- Indifference zone selection procedures: inferences from indifference-zone selection proceduresE. Jack Chen, W. David Kelton. 456-464 [doi]
- Indifference zone selection procedures: expected opportunity cost guarantees and indifference zone selection proceduresStephen E. Chick. 465-473 [doi]
- Indifference zone selection procedures: an indifference-zone selection procedure with minimum switching and sequential samplingL. Jeff Hong, Barry L. Nelson. 474-480 [doi]
- Special topics on simulation analysis: to batch or not to batchChristos Alexopoulos, David Goldsman. 481-489 [doi]
- Special topics on simulation analysis: better-than-optimal simulation run allocation?Chun-Hung Chen, Donghai He, Enver Yücesan. 490-495 [doi]
- Special topics on simulation analysis: properties of discrete event systems from their mathematical programming representationsWai Kin Chan, Lee Schruben. 496-502 [doi]
- Queueing network simulation analysis: efficient analysis of rare events association with individual buffers in a tandem Jackson networkRamya Dhamodaran, Bruce Shultes. 503-510 [doi]
- Queueing network simulation analysis: developing efficient simulation methodology for complex queueing networksYing-Chao Hung, George Michailidis, Derek R. Bingham. 512-519 [doi]
- Queueing network simulation analysis: queueing-network stability: simulation-based checkingJamie R. Wieland, Raghu Pasupathy, Bruce W. Schmeiser. 520-527 [doi]
- Efficient simulation procedures: comparison with a standard via fully sequential proceduresSeong-Hee Kim. 528-534 [doi]
- Efficient simulation procedures: a simulation study on sampling and selecting under fixed computing budgetLoo Hay Lee, Ek Peng Chew. 535-542 [doi]
- Issues on simulation and optimization I: simulation-based retrospective optimization of stochastic systems: a family of algorithmsJihong Jin, Bruce W. Schmeiser. 543-547 [doi]
- Issues on simulation and optimization I: robust simulation-based design of hierarchical systemsCharles D. McAllister. 548-555 [doi]
- Issues on simulation and optimization I: optimal experimental design for systems involving both quantitative and qualitative factorsNavara Chantarat, Ning Zheng, Theodore Allen, Deng Huang. 556-564 [doi]
- Issues on simulation and optimization I: controlled sequential bifurcation: a new factor-screening method for discrete-event simulationWan Hong, Bruce E. Ankenman, Barry L. Nelson. 565-573 [doi]
- Issues on simulation and optimization II: some issues in multivariate stochastic root findingRaghu Pasupathy, Bruce W. Schmeiser. 574-577 [doi]
- Issues on simulation and optimization II: targeting aviation delay through simulation optimizationFrederick Wieland, Thomas Curtis Holden. 578-584 [doi]
- Issues on simulation and optimization II: robust hybrid designs for real-time simulation trialsRussell C. H. Cheng, Owen D. Jones. 585-591 [doi]
- Foundations of multi-paradigm modeling and simulation: computer automated multi-paradigm modelling: meta-modelling and graph transformationHans Vangheluwe, Juan de Lara. 595-603 [doi]
- Foundations of multi-paradigm modeling and simulation: a meta-theoretic approach to modeling and simulationMamadou K. Traoré. 604-612 [doi]
- Foundations of multi-paradigm modeling and simulation: a port ontology for automated model compositionVei-Chung Liang, Christiaan J. J. Paredis. 613-622 [doi]
- Hybrid dynamic systems: mode transition behavior in hybrid dynamic systemsPieter J. Mosterman. 623-631 [doi]
- Hybrid dynamic systems: relating Chi to hybrid automataD. A. van Beek, Niek G. Jansen, J. E. Rooda, Ramon R. H. Schiffelers, Ka L. Man, Michel A. Reniers. 632-640 [doi]
- Hybrid dynamic systems: models for continous and hybrid system simulationMariana C. D Abreu, Gabriel Andrés Wainer. 641-649 [doi]
- Simulation of large scale networks I: simulation of large-scale networks using SSFDavid M. Nicol, Jason Liu, Michael Liljenstam, Guanhua Yan. 650-657 [doi]
- Simulation of large scale networks I: modelling differentiated services in conservative PDESRoger Curry, Rob Simmonds, Brian Unger. 658-666 [doi]
- Simulation of large scale networks I: staged simulation for improving scale and performance of wireless network simulationsKevin Walsh II, Emin Gün Sirer. 667-675 [doi]
- Simulation of large scale networks II: large-scale network simulations with GTNetSGeorge F. Riley. 676-684 [doi]
- Simulation of large scale networks II: modeling and simulation best practices for wireless ad hoc networksL. Felipe Perrone, Yougu Yuan, David M. Nicol. 685-693 [doi]
- Simulation of large scale networks II: development of an internet backbone topology for large-scale network simulationsMichael Liljenstam, Jason Liu, David M. Nicol. 694-702 [doi]
- Simulation of large scale networks III: ROSS.Net: optimistic parallel simulation framework for large-scale internet modelsDavid Bauer, Garrett R. Yaun, Christopher D. Carothers, Murat Yuksel, Shivkumar Kalyanaraman. 703-711 [doi]
- Simulation of large scale networks III: loosely-coordinated, distributed, packet-level simulation of large-scale networksBoleslaw K. Szymanski, Yu Liu. 712-720 [doi]
- Simulation of large scale networks III: an improved computational algorithm for round-robin serviceJorge R. Ramos, Vernon Rego, Janche Sang. 721-728 [doi]
- Visualization for modeling and simulation: a taxonomy of visualization techniques for simulation in production and logisticsSigrid Wenzel, Jochen Bernhard, Ulrich Jessen. 729-736 [doi]
- Visualization for modeling and simulation: visualization methods for time-dependent data - an overviewWolfgang Müller, Heidrun Schumann. 737-745 [doi]
- Visualization for modeling and simulation: problems of visualization of technological processesPavel Slavík, Marek Gayer, Frantisek Hrdlicka, Ondrej Kubelka. 746-754 [doi]
- Next generation modeling I: RUBE: a customized 2d and 3d modeling framework for simulationPaul A. Fishwick, Jinho Lee, Minho Park, Hyunju Shim. 755-762 [doi]
- Next generation modeling I: information visualization supporting modelling and evaluation tasks for climate modelsThomas Nocke, Heidrun Schumann, Uwe Böhm, Michael Flechsig. 763-771 [doi]
- Next generation modeling I: issues using cots simulation software packages for the interoperation of modelsMichael D. Ryde, Simon J. E. Taylor. 772-777 [doi]
- Next generation modeling II - applications: experiencing natural phenomena with virtual, constructed and mathematical modelsStephan Diehl, Carsten Görg. 778-781 [doi]
- Next generation modeling II - applications: improving the development process for eukaryotic cell cycle models with a modeling support environmentNicholas Allen, Clifford A. Shaffer, Marc Vass, Naren Ramakrishnan, Layne T. Watson. 782-790 [doi]
- Next generation modeling II - applications: modeling control in manufacturing simulationDurk-Jouke van der Zee. 791-798 [doi]
- Next generation modeling III - agents: simulation for testing software agents - an exploration based on JamesJan Himmelspach, Mathias Röhl, Adelinde Uhrmacher. 799-807 [doi]
- Next generation modeling III - agents: a multi-paradigm simulator for simulating complex adaptive supply chain networksSurya Dev Pathak, David M. Dilts, Gautam Biswas. 808-816 [doi]
- Next generation modeling III - agents: Spades - a distributed agent simulation environment with software-in-the-loop executionPatrick Riley, George F. Riley. 817-825 [doi]
- Distributed simulation and manufacturing: distributed simulation with cots simulation packagesCsaba Attila Boer, Alexander Verbraeck. 829-837 [doi]
- Distributed simulation and manufacturing: time management issues in cots distributed simulation: a case studySimon J. E. Taylor, Jon Sharpe, John Ladbrook. 838-846 [doi]
- Distributed simulation and manufacturing: synchronization and management of shared state in HLA-based distributed simulationBoon-Ping Gan, Yoke-Hean Low, Junhu Wei, Xiaoguang Wang, Stephen John Turner, Wentong Cai. 847-854 [doi]
- Parallel distributed simulation and modeling methods: causal order based time warp: a tradeoff of optimismYi Zeng, Wentong Cai, Stephen John Turner. 855-863 [doi]
- Parallel distributed simulation and modeling methods: an algorithm for fully-reversible optimistic parallel simulationMichael D. Peters, Christopher D. Carothers. 864-871 [doi]
- Parallel distributed simulation and modeling methods: SyncSim: a synchronous simple optimistic simulation technique based on a global parallel heap event queueSushil K. Prasad, Zhiyong Cao. 872-880 [doi]
- Commercial-off-the-shelf distributed simulation, panel: HLA-CSPIF panel on commercial off-the-shelf distributed simulationSimon J. E. Taylor, Steffen Straßburger, Boon-Ping Gan, Alexander Verbraeck. 881-887 [doi]
- Simulation and verification I: from simulation to verification (and back)Harald Rueß, Leonardo Mendonça de Moura. 888-896 [doi]
- Simulation and verification I: design environments for complex systemsCorrado Priami. 897-905 [doi]
- Simulation and verification I: formal analysis of air traffic management systems: the case of conflict resolution and recoveryRicky W. Butler, Jeffrey Maddalon, Alfons Geser, César Muñoz. 906-914 [doi]
- Simulation and verification II: event-triggered environments for verification of real-time systemsDarren D. Cofer, Murali Rangarajan. 915-922 [doi]
- Simulation and verification II: from timed automata to DEVS modelsNorbert Giambiasi, Jean-Luc Paillet, Frédéric Châne. 923-931 [doi]
- Simulation and verification II: simulating quantum computing: quantum expressKareem S. Aggour, Renee Guhde, Melvin K. Simmons, Michael J. Simon. 932-940 [doi]
- Military keynote: wargames, preemption and a lot of other curious behaviorJames F. Dunnigan. 943 [doi]
- Agent models I: action modelsGary W. King, Clayton T. Morrison, Paul R. Cohen. 944-951 [doi]
- Agent models I: frequency-based designs for terminating simulations: a peace-enforcement exampleSusan M. Sanchez, Hsin-Fu Wu. 952-959 [doi]
- Agent models I: UTSAF: a multi-agent-based framework for supporting military-based distributed interactive simulations in 3D virtual environmentsJoseph Manojlovich, Phongsak Prasithsangaree, Stephen B. Hughes, Jinlin Chen, Michael Lewis. 960-968 [doi]
- Human systems modeling: specifying the behavior of computer-generated forces without programmingDaniel Fu, Randy Jensen, Ryan T. Houlette. 969-975 [doi]
- Human systems modeling: fidelity and validity: issues of human behavioral representation requirements developmentTom Hughes II, Evan Rolek. 976-982 [doi]
- Human systems modeling: assessing technology effects on human performance through trade space development and evaluationChristopher R. Hale. 983-990 [doi]
- Agent models II: search theory, agent-based simulation, and U-boats in the Bay of BiscayLance E. Champagne, R. Greg Carl, Raymond R. Hill. 991-998 [doi]
- Agent models II: dynamic path-planning for search and destroy missions - the Bay of Biscay scenarioSubhashini Ganapathy, Raymond R. Hill. 999-1003 [doi]
- Agent models II: Bay of Biscay: extensions into modern military issuesLance E. Champagne. 1004-1012 [doi]
- Logistics: simulation based decision support for supply chain logisticsSubhashini Ganapathy, Sundaram Narayanan, Krishnamurthy Srinivasan. 1013-1020 [doi]
- Logistics: impact of an autonomic logistics system (ALS) on the sortie generation processPaul D. Faas, John O. Miller. 1021-1025 [doi]
- Logistics: T.LoaDS treatment of assigning and filling ordersBob Hamber. 1026-1033 [doi]
- Emerging areas: urban operations and UCAVs: human effectiveness issues in simulated uninhabited combat aerial vehiclesSasanka V. Prabhala, Jennie J. Gallimore, Sundaram Narayanan. 1034-1038 [doi]
- Emerging areas: urban operations and UCAVs: a game engine based simulation of the NIST urban search and rescue arenasJijun Wang, Michael Lewis, Jeffrey Gennari. 1039-1045 [doi]
- Emerging areas: urban operations and UCAVs: research plan development for modeling and simulation of military operations in urban terrainThomas M. Cioppa, John B. Willis, Niki Deliman Goerger, Lloyd P. Brown. 1046-1051 [doi]
- Simulation for emergency response: JTLS-JCATS federation support of emergency response trainingFrancis A. Bowers, David L. Prochnow. 1052-1060 [doi]
- Simulation for emergency response: homeland defense center network - capitalizing on simulation, modeling and visualization for emergency preparedness, response and mitigationJack Corley, Dan Lejerskar. 1061-1067 [doi]
- Simulation for emergency response: a framework for modeling and simulation for emergency responseSanjay Jain, Charles McLean. 1068-1076 [doi]
- Algorithms and analyses: piggy-backed time-stepped simulation with super-stepping Seng Chuan Tay, Gary S. H. Tan, Karthik Shenoy. 1077-1085 [doi]
- Algorithms and analyses: pre-reckoning algorithm for distributed virtual environmentsThomas P. Duncan, Denis Gracanin. 1086-1093 [doi]
- Algorithms and analyses: simulation modeling and analysis in support of brigade assault bridging operations planningPatrick J. Delaney. 1094-1101 [doi]
- Support to decision makers: caveats for simulation modeling in support of decision makingChristopher Michael Hill, Linda C. Malone. 1102-1109 [doi]
- Support to decision makers: evaluation of army corps food supply system using simulationOzan Pembe, Ihsan Sabuncuoglu. 1110-1115 [doi]
- Support to decision makers: the use of recursive simulation to support decisionmakingJohn B. Gilmer Jr., Frederick J. Sullivan. 1116-1121 [doi]
- New manufacturing modeling methodology: a hybrid approach to manufacturing enterprise simulationLuis Rabelo, Magdy Helal, Albert Jones, Jason Min, Young Jun Son, Abhijit Deshmukh. 1125-1133 [doi]
- New manufacturing modeling methodology: deterministic and stochastic dynamic modeling of continuous manufacturing systems using analogies to electrical systemsBashar H. Sader, Carl D. Sorensen. 1134-1142 [doi]
- New manufacturing modeling methodology: data driven design and simulation system based on XMLGuixiu Qiao, Frank Riddick, Charles McLean. 1143-1148 [doi]
- Distributed simulation in manufacturing: automobile manufacturing supply chain simulation in the grids environmentGary S. H. Tan, Na Zhao, Simon J. E. Taylor. 1149-1157 [doi]
- Distributed simulation in manufacturing: EPOCHS: integrated commercial off-the-shelf software for agent-based electric power and communication simulationKenneth M. Hopkinson, Kenneth P. Birman, Renan Giovanini, Denis V. Coury, Xiaoru Wang, James S. Thorp. 1158-1166 [doi]
- Distributed simulation in manufacturing: simulation of distributed manufacturing enterprises: a new approachSameh M. Saad, Terrence D. Perera, Ruwan Wickramarachchi. 1167-1173 [doi]
- Simulation test bed for manufacturing analysis: a simulation test bed for producton and supply chain modelingSilvanus T. Enns, Pattita Suwanruji. 1174-1182 [doi]
- Simulation test bed for manufacturing analysis: benchmarking of a stochastic production planning model in a simulation testbedGermán Riaño, Richard F. Serfozo, Steven Hackman, Szu-Hui Ng, Lai Peng Chan, Peter Lendermann. 1183-1191 [doi]
- Simulation test bed for manufacturing analysis: comparison of bottleneck detection methods for AGV systemsChristoph Roser, Masaru Nakano, Minoru Tanaka. 1192-1198 [doi]
- Simulation in automotive industries: reducing human error in simulation in General MotorsDemet C. Wood, Echo A. Harger. 1199-1203 [doi]
- Simulation in automotive industries: paint line color change reduction in automobile assembly through simulationYong-Hee Han, Chen Zhou, Bert Bras, Leon F. McGinnis, Carol Carmichael, P. J. Newcomb. 1204-1209 [doi]
- Simulation in automotive industries: using empirical evidence of variations in worker performance to extend the capabilities of discrete event simulations in manufacturingTim Baines, Linda Hadfield, Steve Mason, John Ladbrook. 1210-1216 [doi]
- Manufacturing case studies: generic case studies for manufacturing simulation applicationsCharles McLean, Guodong Shao. 1217-1224 [doi]
- Manufacturing case studies: simulation modeling for quality and productivity in steel cord manufacturingCan Hulusi Türkseven, Gürdal Ertek. 1225-1229 [doi]
- Manufacturing case studies: NIST XML simulation interface specification at Boeing: a case studyRoberto F. Lu, Guixiu Qiao, Charles McLean. 1230-1237 [doi]
- Manufacturing analysis and control: buffer allocation model based on a single simulationChristoph Roser, Masaru Nakano, Minoru Tanaka. 1238-1246 [doi]
- Manufacturing analysis and control: shared resource capacity analysis in biotech manufacturingPrasad V. Saraph. 1247-1250 [doi]
- Manufacturing analysis and control: behavior of an order release mechanism in a make-to-order manufacturing system with selected order acceptanceAmitava Nandi, Paul Rogers. 1251-1259 [doi]
- Simulation optimization in manufacturing analysis: a simulation-optimization approach using genetic search for supplier selectionHongwei Ding, Lyès Benyoucef, Xiaolan Xie. 1260-1267 [doi]
- Simulation optimization in manufacturing analysis: simulation based optimization for supply chain configuration designTu Hoang Truong, Farhad Azadivar. 1268-1275 [doi]
- Simulation optimization in manufacturing analysis: incorporating fuzzy logic admission control in simulation modelsQisheng Le, Gerald Knapp. 1276-1280 [doi]
- Neutral information structure for manufacturing simulations: designing reusable simulation modules for electronics manufacturing systemsPhani S. Mukkamala, Jeffrey S. Smith, Jorge F. Valenzuela. 1281-1289 [doi]
- Neutral information structure for manufacturing simulations: information structure to support discrete event simulation in manufacturing systemsBjörn Johansson, Joacim Johnsson, Anders Kinnander. 1290-1295 [doi]
- Neutral information structure for manufacturing simulations: a neutral information model for simulating machine shop operationsY. Tina Lee, Charles McLean, Guodong Shao. 1296-1304 [doi]
- Supply chain simulation: distributed supply chain simulation using a generic job running frameworkHaifeng Xi, Heng Cao, Leonard Berman, David Jensen. 1305-1312 [doi]
- Supply chain simulation: a simulation-based tool for inventory analysis in a server computer manufacturing environmentHeng Cao, Feng Cheng, Haifeng Xi, Markus Ettl, Stephen J. Buckley, Carlos Rodriguez. 1313-1318 [doi]
- Supply chain simulation: a Bayesian framework for modeling demand in supply chain simulation experimentsDavid F. Muñoz. 1319-1325 [doi]
- Factory scheduling and dispatching: constant time interval production planning with application to WIP control in semiconductor fabricationKazuo Miyashita, Kazuyuki Senoh, Hiroyuki Ozaki, Hirofumi Matsuo. 1329-1337 [doi]
- Factory scheduling and dispatching: simulation-based assessment of batching heuristics in semiconductor manufacturingLars Mönch, Ilka Habenicht. 1338-1345 [doi]
- Factory scheduling and dispatching: accelerating products under due-date oriented dispatching rules in semiconductor manufacturingOliver Rose. 1346-1350 [doi]
- Automated material handling systems: a simulation-based design framework for automated material handling systems in 300mm fabrication facilitiesDima Nazzal, Douglas A. Bodner. 1351-1359 [doi]
- Automated material handling systems: automated reticle handling: a comparison of distributed and centralized reticle storage and transportAnne M. Murray, David J. Miller. 1360-1365 [doi]
- Automated material handling systems: an approach to robust layout planning of AMHSRoland Sturm, Joachim Seidelmann, Johann Dorner, Kevin Reddig. 1366-1372 [doi]
- Factory capacity and throughput planning: conceptualization, design and implementation of a static capacity modelOrkun Ozturk, Melissa Boom Coburn, Steve Kitterman. 1373-1376 [doi]
- Factory capacity and throughput planning: indirect estimation of cycle time quantiles from discrete event simulation models using the Cornish-Fisher expansionJennifer E. McNeill, Gerald T. Mackulak, John W. Fowler. 1377-1382 [doi]
- Factory capacity and throughput planning: discrete-event simulation using systemc: interactive semiconductor factory modeling with FabSimHolger Vogt. 1383-1387 [doi]
- Process equipment modeling: making optimal design decisions for next generation dispensing toolsBrian P. Prescott, Todd LeBaron. 1388-1393 [doi]
- Process equipment modeling: application of cluster tool modeling to a 300 mm fab simulationSameer T. Shikalgar, David Fronckowiak, Edward A. MacNair. 1394-1375 [doi]
- Process equipment modeling: resident-entity based simulation of batch chamber tools in 300mm semiconductor manufacturingNirmal Govind, David Fronckowiak. 1398-1405 [doi]
- Supply chain planning: rolling horizon scheduling of multi-factory supply chainsEunkyoung G. Cho, Kristin A. Thoney, Thom J. Hodgson, Russell E. King. 1409-1416 [doi]
- Supply chain planning: a reinforcement learning approach to production planning in the fabrication/fulfillment manufacturing processHeng Cao, Haifeng Xi, Stephen F. Smith. 1417-1423 [doi]
- Supply chain planning: theory and practice of advanced planner and optimizer in supply chain domainSam Bansal. 1424-1432 [doi]
- Factory scheduling: simulation based scheduling using a two-pass approachChin Soon Chong, Appa Iyer Sivakumar, Robert K. L. Gay. 1433-1439 [doi]
- Factory scheduling: implementing a simulation-based scheduling system for a two-plant operationJeffrey A. Joines, Andrew B. Sutton, Kristin A. Thoney, Russell E. King, Thom J. Hodgson. 1440-1448 [doi]
- Factory scheduling: simulation-based finite scheduling at Albany InternationalJuha-Matti Lehtonen, Patrik Appelqvist, Teemu Ruohola, Ilkka Mattila. 1449-1455 [doi]
- Dynamic scheduling I: real-time decision making using simulationMukesh Dalal, Brett Groel, Armand Prieditis II. 1456-1464 [doi]
- Dynamic scheduling I: simulation-based scheduling for dynamic discrete manufacturingChin Soon Chong, Appa Iyer Sivakumar, Robert K. L. Gay. 1465-1473 [doi]
- Dynamic scheduling I: use of discrete event simulation to analyze dispatch policies of an equipment group in semiconductor fabRaja Sunkara, Ramesh R. Rao. 1474-1479 [doi]
- Dynamic scheduling II: look-ahead strategies for controlling batch operations in industry - an overviewDurk-Jouke van der Zee. 1480-1487 [doi]
- Dynamic scheduling II: SIMUL8-planner simulation-based planning and schedulingKieran H. Concannon, Kim I. Hunter, Jillian M. Tremble. 1488-1493 [doi]
- Dynamic scheduling II: fast simulation model for grid scheduling using HyperSimSugree Phatanapherom, Putchong Uthayopas, Voratas Kachitvichyanukul. 1494-1500 [doi]
- Construction engineering and project management I: a construction process simulation web serviceDaniel W. Halpin, Henyi Jen, Jungwuk Kim. 1503-1509 [doi]
- Construction engineering and project management I: building a virtual shop model for steel fabricationLingguang Song, Simaan M. AbouRizk. 1510-1517 [doi]
- Construction engineering and project management I: variable-speed resource motion in animations of discrete-event process modelsVineet R. Kamat, Julio C. Martínez. 1518-1526 [doi]
- Construction engineering and project management II: impact of multitasking and merge bias on procurement of complex equipmentJan A. Elfving, Iris D. Tommelein. 1527-1533 [doi]
- Construction engineering and project management II: an application of lean concepts and simulation for drainage operations maintenance crewsAlbert Agbulos, Simaan M. AbouRizk. 1534-1540 [doi]
- Construction engineering and project management II: agent-based modeling and simulation in constructionAnil Sawhney, Howard H. Bashford, Kenneth D. Walsh, Ajith Rao Mulky. 1541-1547 [doi]
- Construction engineering and project management III: simulation of the residential lumber supply chainKenneth D. Walsh, Anil Sawhney, Howard H. Bashford. 1548-1551 [doi]
- Construction engineering and project management III: reasoning about actions and events in situational simulationsAmlan Mukherjee, Eddy M. Rojas. 1552-1560 [doi]
- Construction engineering and project management III: monte carlo simulation for schedule risksBrenda McCabe. 1561-1565 [doi]
- Strategy simulations: tutorial on business and market modeling to aid strategic decision making: system dynamics in perspective and selecting appropriate analyssis approachesDonna D. Mayo, Knud Erik Wichmann. 1569-1577 [doi]
- Strategy simulations: steering strategic decisions at london underground: evaluating management options with system dynamicsDonna D. Mayo, William J. Dalton, Martin J. Callaghan. 1578-1584 [doi]
- Supply chain and distribution network: simulation - a key tool to accelerate and add confidence to postal network configurationNiels Erik Larsen. 1585-1592 [doi]
- Supply chain and distribution network: semiconductor supply network simulationGary W. Godding, Hessam S. Sarjoughian, Karl G. Kempf. 1593-1601 [doi]
- Supply chain and distribution network: railroad simulator on closed loopLuiz Augusto Gago Franzese, Marcelo Moretti Fioroni, Rui Carlos Botter. 1602-1606 [doi]
- Supply chain management simulation: modelling a continuous process with discrete simulation techniques and its application to LNG supply chainsNiels Stchedroff, Russell C. H. Cheng. 1607-1611 [doi]
- Supply chain management simulation: a prototype object-oriented supply chain simulation frameworkManuel D. Rossetti, Hin-Tat Chan. 1612-1620 [doi]
- Supply chain management simulation: initializing a distribution supply chain simulation with live dataMalay A. Dalal, Henry Bell, Mike Denzien, Michael P. Keller. 1621-1626 [doi]
- Modeling people flow: simulation analysis of international-departure passenger flows in an airport terminalSoemon Takakuwa, Tomoki Oyama. 1627-1634 [doi]
- Modeling people flow: online simulation of pedestrian flow in public buildingsAndré Hanisch, Juri Tolujew, Klaus Richter, Thomas Schulze. 1635-1641 [doi]
- Modeling people flow: development and validation of a flexible, open architecture, transportation simulationMichael Hunter, Randy Machemehl. 1642-1649 [doi]
- Simulation of airports/aviation systems: Total Airport and Airspace Model (TAAM) parallelization combining sequential and parallel algorithms for performance enhancementNeera P. Sood, Frederick Wieland. 1650-1655 [doi]
- Simulation of airports/aviation systems: discrete event simulation model for airline operations: SIMAIRLoo 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. 1656-1662 [doi]
- Simulation of airports/aviation systems: simulating aircraft delay absorptionJustin Boesel. 1663-1669 [doi]
- Simulation planning and rostering: runway schedule determination by simulation optimizationThomas Curtis Holden, Frederick Wieland. 1670-1676 [doi]
- Simulation planning and rostering: a simulation approach to manpower planningMassoud Bazargan-Lari, Payal Gupta, Seth Young. 1677-1685 [doi]
- Simulation planning and rostering: a discrete event simulation for the crew assignment process in north american freight railroadsRainer Guttkuhn, Todd Dawson, Udo Trutschel, Jon Walker, Mike Moroz. 1686-1692 [doi]
- Traffic and road planning simulation: simulation of freeway merging and diverging behaviorDaiheng Ni, John D. Leonard. 1693-1700 [doi]
- Traffic and road planning simulation: modeling ambulance service of the austrian Red CrossOthmar Koch, K. Heinz Weigl. 1701-1706 [doi]
- Traffic and road planning simulation: simulation modelling in support of emergency fire-fighting in NorfolkAlan Cowdale. 1707-1710 [doi]
- Freight simulation: dynamic freight traffic simulation providing real-time informationJinghua Xu, Kathleen L. Hancock, Frank Southworth. 1711-1719 [doi]
- Freight simulation: the modal-shift transportation planning problem and its fast steepest descent algorithmMasami Amano, Takayuki Yoshizumi, Hiroyuki Okano. 1720-1728 [doi]
- Freight simulation: a monte carlo simulation approach to the capacitated multi-location transshipment problemDeniz Özdemir, Enver Yücesan, Yale T. Herer. 1729-1736 [doi]
- Waterway, shipping, and ports: modeling ship arrivals in portsEelco van Asperen, Rommert Dekker, Mark Polman, Henk de Swaan Arons. 1737-1744 [doi]
- Waterway, shipping, and ports: optimization of a barge transportation system for petroleum deliveryNicholas P. Anderson, Gerald W. Evans, William E. Biles, Todd C. Whyte. 1745-1750 [doi]
- Waterway, shipping, and ports: iterative optimization and simulation of barge traffic on an inland waterwayAmy Bush, William E. Biles, Gail W. DePuy. 1751-1756 [doi]
- The role of special agents in today s world: agent-based modeling and simulation of store performance for personalized pricingCem M. Baydar. 1759-1764 [doi]
- 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 systemsHartwig Baumgaertel, Ulrich John. 1765-1773 [doi]
- The role of special agents in today s world: simulating agent intelligence as local network dynamics and emergent organizational outcomesJames K. Hazy, Brian F. Tivnan. 1774-1778 [doi]
- The process of process reengineering: visualization of probabilistic business modelsLev Virine, Lisa Rapley. 1779-1786 [doi]
- The process of process reengineering: simulation for business processes and information systems designRay J. Paul, Alan Serrano. 1787-1796 [doi]
- The process of process reengineering: integration of discrete event simulation models with framework-based business applicationsPeter Lendermann, Nirupam Julka, Lai Peng Chan, Boon-Ping Gan. 1797-1804 [doi]
- Customer relations management: call center operations: modelling and simulation of a telephone call centerJuta Pichitlamken, Alexandre Deslauriers, Pierre L Ecuyer, Athanassios N. Avramidis. 1805-1812 [doi]
- Customer relations management: call center operations: routing heuristics for multi-skill call centersGer Koole, Auke Pot, Jerome Talim. 1813-1816 [doi]
- Customer relations management: call center operations: fluid approximations for a priority call center with time-varying arrivalsAhmad D. Ridley, Michael C. Fu, William A. Massey. 1817-1823 [doi]
- Customer relations management: service operations: using simulation to approximate subgradients of convex performance measures in service systemsJúlíus Atlason, Marina Epelman, Shane G. Henderson. 1824-1832 [doi]
- Customer relations management: service operations: simulation s role in baggage screening at the airports: a case studySuna Hafizogullari, Gloria Bender, Cenk Tunasar. 1833-1837 [doi]
- Customer relations management: service operations: human fatigue risk simulations in 24/7 operationsRainer Guttkuhn, Udo Trutschel, Anneke Heitmann, Acacia Aguirre, Martin Moore-Ede. 1838-1842 [doi]
- Process improvement: optimization of a telecommunications billing systemMark Schouwenaar, Eleazer Martin. 1843-1847 [doi]
- Process improvement: one size fits all? segmenting customer base for maximum returnsRoar Grønhaug, Eleazer Martin, Per-Åge Bæra. 1848-1851 [doi]
- Process improvement: simulations on .Net using Highpoint s HighMAST:::TM::: simulation toolkitPeter Bosch. 1852-1859 [doi]
- Public health: emergency management: capability analysis of critical incident responseThomas F. Brady. 1863-1867 [doi]
- Public health: computer simulation of a mobile examination centerVera Z. Osidach, Michael C. Fu. 1868-1875 [doi]
- Public health: proposals to reduce over-crowding, lengthy stays and improve patient care: study of the geriatric department in Norway s largest hospitalEleazer Martin, Roar Grønhaug, Kristin Haugene. 1876-1881 [doi]
- Healthcare process analysis: a methodology for modeling front office and patient care processes in ambulatory health careBradley P. Morrison, Barbara C. Bird. 1882-1886 [doi]
- Healthcare process analysis: the use of simulation to evaluate hospital operations between the emergency department and a medical telemetry unitRuby E. Blasak, Darrell W. Starks, Wendy S. Armel, Mary C. Hayduk. 1887-1893 [doi]
- Healthcare process analysis: redesigning the medication ordering, dispensing, and administration process in an acute care academic health sciences centreCathy Wong, Glen Geiger, Yaron D. Derman, Carolyn R. Busby, Michael W. Carter. 1894-1902 [doi]
- Emergency departments I: the use of simulation and design of experiments for estimating maximum capacity in an emergency roomFelipe F. Baesler, Hector E. Jahnsen, Mahal DaCosta. 1903-1906 [doi]
- Emergency departments I: the use of simulation to reduce the length of stay in an emergency departmentSimon Samaha, Wendy S. Armel, Darrell W. Starks. 1907-1911 [doi]
- Emergency departments I: using simulation in the architectural concept phase of an emergency department designAllan Wiinamaki, Rainer Dronzek. 1912-1916 [doi]
- Emergency departments II: pairing emergency severity index5-level triage data with computer aided system design to improve emergency department access and throughputSiddharth Mahapatra, Charles P. Koelling, Lisa Patvivatsiri, Barbara Fraticelli, David Eitel, L. Grove. 1917-1925 [doi]
- Emergency departments II: simulating Six Sigma improvement ideas for a hospital emergency departmentMartin J. Miller, David M. Ferrin, Jill M. Szymanski. 1926-1929 [doi]
- Emergency departments II: a simulation-ilp based tool for scheduling ER staffMartha A. Centeno, Ronald E. Giachetti, Richard J. Linn, Abdullah M. Ismail. 1930-1938 [doi]
- Teaching the classics of simulation to beginners, panel: teaching the classics of simulation to beginners (panel)Ingolf Ståhl, Raymond R. Hill, Joan M. Donohue, Henry Herper, Catherine M. Harmonosky, W. David Kelton. 1941-1951 [doi]
- Simulation textbooks - old and new, panel: simulation text books - old and new (panel)Thomas J. Schriber, Jerry Banks, Andrew F. Seila, Ingolf Ståhl, Averill M. Law, Richard G. Born. 1952-1963 [doi]
- Introductory teaching of simulation: teaching discrete event simulatation to business students: the alpha and omegaRichard G. Born. 1964-1972 [doi]
- Introductory teaching of simulation: modeling and simulation in high school education - two European examplesHenry Herper, Ingolf Ståhl. 1973-1981 [doi]
- Introductory teaching of simulation: designing simulation projectsMelanie L. Hatch, Donald L. Byrkett. 1982-1988 [doi]
- Perspectives on simulation in education and training: simulation education is no substitute for intelligent thinkingRay J. Paul, Tillal Eldabi, Jasna Kuljis. 1989-1993 [doi]
- Perspectives on simulation in education and training: simulation models as an aid for the teaching and learning process in operations managementLeonardo Chwif, Marcos Ribeiro Pereira Barretto. 1994-2000 [doi]
- Perspectives on simulation in education and training: virtual environments for the training of maintenance and service tasksEberhard Blümel, Axel Hintze, Torsten Schulz, Marco Schumann, Stefan Stüring. 2001-2007 [doi]
- Role of WSC in simulation, panel: panel session: the future of the Winter Simulation ConferenceDaniel T. Brunner, James O. Henriksen, Ricki G. Ingalls, Mani S. Manivannan, Barry L. Nelson, Cindy Schiess. 2011-2018 [doi]
- Simulation standards: current status, needs, future directions, panel: simulation standards: current status, needs, and future directionsCharles McLean, Swee Leong, Charley Harrell, Philomena M. Zimmerman, Roberto F. Lu. 2019-2026 [doi]
- Determining the ROI for simulation, panel: increasing return on investment from simulation (panel)Randall R. Gibson, Deborah J. Medeiros, Andrew Sudar, Bill Waite, Matthew W. Rohrer. 2027-2032 [doi]
- Future of the simulation industry, panel: the future of the simulation industryJerry Banks, Joseph Hugan, Peter Lendermann, Charles McLean, Ernest H. Page, Claude Dennis Pegden, Onur M. Ülgen, James R. Wilson. 2033-2043 [doi]
- Simulation technology panel: panel: simulation - past, present and futureRussell R. Barton, Paul A. Fishwick, James O. Henriksen, Robert G. Sargent, Janet M. Twomey. 2044-2050 [doi]