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ORCIDWSC 2012: Berlin, Germany
- Oliver Rose, Adelinde M. Uhrmacher:
Winter Simulation Conference, WSC '12, Berlin, Germany, December 9-12, 2012. WSC 2012, ISBN 978-1-4673-4779-2
Advanced tutorial
- Kalyan S. Perumalla
:
Parallel simulation on supercomputers. 1:1-1:12 - Shane G. Henderson, Sheldon H. Jacobson, Stewart Robinson:
Teaching an advanced simulation topic. 2:1-2:9 - Thomas J. Schriber, Daniel T. Brunner, Jeffrey S. Smith:
How discrete-event simulation software works and why it matters. 3:1-3:15 - Gabriel A. Wainer:
Advanced spatial systems with cellular discrete-event modeling and simulation. 4:1-4:15 - Giancarlo Guizzardi, Gerd Wagner:
Conceptual simulation modeling with onto-UML. 5:1-5:15 - Russell R. Barton:
Input uncertainty in outout analysis. 6:1-6:12 - Peter I. Frazier:
Optimization via simulation with Bayesian statistics and dynamic programming. 7:1-7:16 - Carley Jurishica, Nancy Zupick:
Tools and methodologies for executing successful simulation consulting projects. 8:1-8:13
Analysis methodology: analysis and optimization of complex stochastic systems
- Marvin K. Nakayama:
Using sectioning to construct confidence intervals for quantiles when applying importance sampling. 9:1-9:12 - Ali Koc, Soumyadip Ghosh:
Optimal scenario tree reductions for the stochastic unit commitment problem. 10:1-10:12 - Jose H. Blanchet, Jing Dong:
Sampling point processes on stable unbounded regions and exact simulation of queues. 11:1-11:12
Analysis methodology: discrete optimization, ranking, and selection
- Huashuai Qu, Ilya O. Ryzhov, Michael C. Fu:
Ranking and selection with unknown correlation structures. 12:1-12:12 - Xiang Hu, Loo Hay Lee, Ek Peng Chew, Douglas J. Morrice, Chun-Hung Chen:
Efficient computing budget allocation for a single design by using regression with sequential sampling constraint. 13:1-13:12 - Nugroho Artadi Pujowidianto, Susan R. Hunter, Raghu Pasupathy, Loo Hay Lee, Chun-Hung Chen:
Closed-form sampling laws for stochastically constrained simulation optimization on large finite sets. 14:1-14:10
Analysis methodology: estimation with low bias and variance
- Kemal Dinçer Dingeç, Wolfgang Hörmann:
New control variates for lévy process models. 15:1-15:12 - Christos Alexopoulos, David Goldsman, James R. Wilson:
A new perspective on batched quantile estimation. 16:1-16:11 - Chang-han Rhee, Peter W. Glynn:
A new approach to unbiased estimation for SDE's. 17:1-17:7
Analysis methodology: gradient-based optimization
- Enlu Zhou, Jiaqiao Hu:
Combining gradient-based optimization with stochastic search. 18:1-18:12 - Haobin Li, Loo Hay Lee, Ek Peng Chew:
Optimization via gradient oriented polar random search. 19:1-19:12 - Fatemeh Sadat Hashemi, Raghu Pasupathy:
Averaging and derivative estimation within stochastic approximation algorithms. 20:1-20:9
Analysis methodology: input modeling and service systems
- Bruce E. Ankenman, Barry L. Nelson:
A quick assessment of input uncertainty. 21:1-21:10 - Paulien Koeleman, Ger Koole:
Appointment scheduling using optimisation via simulation. 22:1-22:5 - Rouba Ibrahim, Nazim Régnard, Pierre L'Ecuyer, Haipeng Shen:
On the modeling and forecasting of call center arrivals. 23:1-23:12
Analysis methodology: metamodeling
- Xi Chen, Barry L. Nelson, Kyoung-Kuk Kim:
Stochastic kriging for conditional value-at-risk and its sensitivities. 24:1-24:12 - Alejandro S. Hernandez, Thomas W. Lucas, Paul J. Sanchez:
Selecting random latin hypercube dimensions and designs through estimation of maximum absolute pairwise correlation. 25:1-25:12 - Peter Salemi, Barry L. Nelson, Jeremy Staum:
Moving least squares regression for high dimensional simulation metamodeling. 26:1-26:12
Analysis methodology: Monte Carlo methods in statistics
- Anthony Lee:
On the choice of MCMC kernels for approximate Bayesian computation with SMC samplers. 27:1-27:12 - Nial Friel:
Bayesian inference for gibbs random fields using composite likelihoods. 28:1-28:8 - Jean-Michel Marin, Pierre Pudlo, Mohammed Sedki:
Optimal parallelization of a sequential approximate Bayesian computation algorithm. 29:1-29:7
Analysis methodology: multilevel simulation
- Desmond J. Higham, Mikolaj Roj:
Computing mean first exit times for stochastic processes using multi-level Monte Carlo. 30:1-30:10 - Denis Belomestny, Marcel Ladkau, John Schoenmakers:
Tight bounds for American options via multilevel Monte Carlo. 31:1-31:8 - Aretha L. Teckentrup:
Multilevel Monte Carlo methods for highly heterogeneous media. 32:1-32:12
Analysis methodology: randomized quasi-Monte Carlo methods
- Rami El Haddad, Rana Fakhereddine, Christian Lécot, Arthur Soucemarianadin, Moussa Tembely:
Simulation of coalescence with stratified sampling. 33:1-33:12 - Pierre L'Ecuyer, David Munger:
Constructing adapted lattice rules using problem-dependent criteria. 34:1-34:12 - Christian Irrgeher, Gunther Leobacher:
Fast orthogonal transforms for pricing derivatives with quasi-Monte Carlo. 35:1-35:14
Analysis methodology: rare-event simulation I
- Jingchen Liu, Gongjun Xu:
Rare-event simulations for exponential integrals of smooth Gaussian processes. 36:1-36:10 - Jasmine Foo, Kevin Leder:
Rare events in cancer recurrence timing. 37:1-37:10 - Søren Asmussen, Dominik Kortschak:
On error rates in rare event simulation with heavy tails. 38:1-38:11
Analysis methodology: rare-event simulation II
- Zdravko I. Botev, Pierre L'Ecuyer, Bruno Tuffin:
Dependent failures in highly reliable static networks. 39:1-39:12 - Bruno Tuffin, Ad Ridder:
Probabilistic bounded relative error for rare event simulation learning techniques. 40:1-40:12 - Henry Lam:
Efficient importance sampling under partial information. 41:1-41:12
Analysis methodology: recent advances in simulation optimization
- Jie Xu:
Efficient discrete optimization via simulation using stochastic kriging. 42:1-42:12 - Huashuai Qu, Michael C. Fu:
On direct gradient enhanced simulation metamodels. 43:1-43:12 - Antonius B. Dieker, Seong-Hee Kim:
Selecting the best by comparing simulated systems in a group of three when variances are known and unequal. 44:1-44:7
Analysis methodology: simulation in emergency services and defense
- Eric Cao Ni, Susan R. Hunter, Shane G. Henderson, Huseyin Topaloglu:
Exploring bounds on ambulance deployment policy performance. 45:1-45:12 - Martin van Buuren, Rob van der Mei, Karen I. Aardal, Henk Post:
Evaluating dynamic dispatch strategies for emergency medical services: TIFAR simulation tool. 46:1-46:11 - Russell C. H. Cheng, James Moffat:
Optimally tuned markov chain simulations of battles for real time decision making. 47:1-47:12
Analysis methodology: simulation-based optimization, learning, and dynamic programming
- Ilya O. Ryzhov, Boris Defourny, Warren B. Powell:
Ranking and selection meets robust optimization. 48:1-48:11 - Jack P. C. Kleijnen, Ehsan Mehdad, Wim C. M. Van Beers:
Convex and monotonic bootstrapped kriging. 49:1-49:12 - Peter I. Frazier, Bruno Jedynak, Li Chen:
Sequential screening: a Bayesian dynamic programming analysis of optimal group-splitting. 50:1-50:12
Applications in construction: energy simulations
- Fabrizio Ascione, Filippo de' Rossi, Nicola Bianco, Giuseppe Peter Vanoli:
Transient heat transfer through walls and thermal bridges. numerical modelling: methodology and validation. 51:1-51:15 - Thomas Reeves, Svetlana Olbina, Raja Raymond Issa:
Validation of building energy modeling tools: ecotect™, green building studio™ and IES<VE>™. 52:1-52:12 - Ravi S. Srinivasan, Charles J. Kibert, Siddharth Thakur, Ishfak Ahmed, Paul A. Fishwick, Zachary Ezzell, Jaya Lakshmanan:
Preliminary research in dynamic-BIM (D-BIM) workbench development. 53:1-53:12
Applications in construction: simulation in construction II
- Hani Alzraiee, Tarek M. Zayed, Osama Moselhi:
Methodology for synchronizing discrete event simulation and system dynamics models. 54:1-54:11 - Lawrence V. Fulton, Rasim Muzaffer Musal, Francis A. Méndez Mediavilla:
Construction analysis of rainwater harvesting systems. 55:1-55:11 - Gergo Dori, André Borrmann:
Determination of float time for individual construction tasks using constraint-based discrete-event simulation. 56:1-56:12
Applications in construction: simulation in construction scheduling
- SangHyeok Han, Mohamed Al-Hussein, Shafiul Hasan, Kamil Umut Gökçe, Ahmed Bouferguene:
Simulation of mobile crane operations in 3D space. 57:1-57:12 - Kamil Szczesny, Matthias Hamm, Markus König:
Adjusted recombination operator for simulation-based construction schedule optimization. 58:1-58:10 - Markus König, Christian Koch, Ilka Habenicht, Sven Spieckermann:
Intelligent BIM-based construction scheduling using discrete event simulation. 59:1-59:12
Applications in construction: simulation in health and safety
- Sixuan Wang, Michael Van Schyndel, Gabriel A. Wainer, Vinu Subashini Rajus, Robert F. Woodbury:
Devs-based building information modeling and simulation for emergency evacuation. 60:1-60:12 - Amin Hammad, Shayan Setayeshgar, Cheng Zhang, Yoosef Asen:
Automatic generation of dynamic virtual fences as part of BIM-based prevention program for construction safety. 61:1-61:10 - Richard J. Boucherie, Erwin W. Hans, Timo Hartmann:
Health care logistics and space: accounting for the physical build environment. 62:1-62:8
Applications in construction: simulation of construction operations
- Anton Strahilov, Jivka Ovtcharova, Thomas Bär:
Development of the physics-based assembly system model for the mechatronic validation of automated assembly systems. 63:1-63:11 - Nipesh Pradhananga, Jochen Teizer:
GPS-based framework towards more realistic and real-time construction equipment operation simulation. 64:1-64:12 - Tobias Rahm, Kambiz Sadri, Christian Koch, Markus Thewes, Markus König:
Advancement simulation of tunnel boring machines. 65:1-65:12
Applications in healthcare: combined OR/simulation techniques
- Bhakti S. S. Onggo:
Simulation modeling in the social care sector: a literature review. 66:1-66:12 - Michael Pidd:
Mixing other methods with simulation is no big deal. 67:1-67:7 - Jafri Zulkepli, Tillal Eldabi, Navonil Mustafee:
Hybrid simulation for modelling large systems: an example of integrated care model. 68:1-68:12
Applications in healthcare: design of healthcare systems
- Anatoli Djanatliev, Reinhard German, Peter L. Kolominsky-Rabas, Bernd M. Hofmann:
Hybrid simulation with loosely coupled system dynamics and agent-based models for prospective health technology assessments. 69:1-69:12 - Cristina Azcárate, Fermín Mallor, Julio Barado:
Calibration of a decision-making process in a simulation model by a bicriteria optimization problem. 70:1-70:10 - Inkyung Sung, Taesik Lee:
Modeling requirements for an emergency medical service system design evaluator. 71:1-71:12
Applications in healthcare: epidemic modeling
- Keith R. Bisset, Stephen G. Eubank, Madhav V. Marathe:
High performance informatics for pandemic preparedness. 72:1-72:12 - Charles M. Macal, Michael J. North, Nicholson T. Collier, Vanja M. Dukic, Diane S. Lauderdale, Michael Z. David, Robert S. Daum, Philip Shumm, James A. Evans, Jocelyn R. Wilder, Duane T. Wegener:
Modeling the spread of community-associated MRSA. 73:1-73:12 - Michael F. Beeler, Dionne M. Aleman, Michael W. Carter:
A large simulation experiment to test influenza pandemic behavior. 74:1-74:7
Applications in healthcare: healthcare capacity planning
- Navonil Mustafee, Terry J. Lyons, Paul Rees, Lee Davies, Mark Ramsey, Michael D. Williams:
Planning of bed capacities in specialized and integrated care units: incorporating bed blockers in a simulation of surgical throughput. 75:1-75:12 - K. Louis Luangkesorn, Theologos Bountourelis, Andrew J. Schaefer, Spencer G. Nabors, Gilles Clermont:
The case against utilization: deceptive performance measures in inpatient care capacity models. 76:1-76:12 - Sachin R. Pendharkar, Diane P. Bischak, Paul Rogers:
Evaluating healthcare systems with insufficient capacity to meet demand. 77:1-77:13
Applications in healthcare: healthcare modeling
- Martijn Mes, Manon Bruens:
A generalized simulation model of an integrated emergency post. 78:1-78:11 - Anya Okhmatovskaia, David L. Buckeridge, Arash Shaban-Nejad, Andrew Sutcliffe, Philippe Finès, Jacek A. Kopec, Michael C. Wolfson:
SimPHO: an ontology for simulation modeling of population health. 79:1-79:12 - Joseph P. Bigus, Ching-Hua Chen-Ritzo, Keith Hermiz, Gerald Tesauro, Robert Sorrentino:
Applying a framework for healthcare incentives simulation. 80:1-80:12
Applications in healthcare: healthcare operations management
- Mitsuko Yokouchi, Setsuko Aoki, Haixia Sang, Run Zhao, Soemon Takakuwa:
Operations analysis and appointment scheduling for an outpatient chemotherapy department. 81:1-81:12 - F. J. A. Jansen, L. F. P. Etman, Jacobus E. Rooda, Ivo J. B. F. Adan:
Aggregate simulation modeling of an MRI department using effective process times. 82:1-82:12 - Theologos Bountourelis, David J. Eckman, K. Louis Luangkesorn, Andrew J. Schaefer, Spencer G. Nabors, Gilles Clermont:
Sensitivity analysis of an ICU simulation model. 83:1-83:12
Applications in healthcare: simulation of ambulance services
- Lina Aboueljinane, Zied Jemaï, Evren Sahin:
Reducing ambulance response time using simulation: the case of val-de-marne department emergency medical service. 84:1-84:12 - Taesik Lee, Soo-Haeng Cho, Hoon Jang, John G. Turner:
A simulation-based iterative method for a trauma center: air ambulance location problem. 85:1-85:12 - Adrian Ramirez Nafarrate, A. Baykal Hafizoglu, Esma Senturk Gel, John W. Fowler:
Comparison of ambulance diversion policies via simulation. 86:1-86:12
Applications in healthcare: simulation of emergency departments
- Yong-Hong Kuo, Janny M. Y. Leung, Colin A. Graham:
Simulation with data scarcity: developing a simulation model of a hospital emergency department. 87:1-87:12 - Waleed Abo-Hamad, Amr Arisha:
Multi-criteria framework for emergency department in Irish hospital. 88:1-88:12 - Eduardo Cabrera, Emilio Luque, Manel Taboada, Francisco Epelde, Ma Luisa Iglesias:
ABMS optimization for emergency departments. 89:1-89:12
Applications in healthcare: simulation of patient flow
- Michael Thorwarth, Amr Arisha:
A simulation-based decision support system to model complex demand driven healthcare facilities. 90:1-90:12 - Javad Taheri, Ziad Gellad, Dariele Burchfield, Kevin Cooper:
A simulation study to reduce nurse overtime and improve patient flow time at a hospital endoscopy unit. 91:1-91:12 - Michael E. Kuhl:
A simulation study of patient flow for day of surgery admission. 92:1-92:7
Applications in healthcare: the care life cycle
- Jason Noble, Eric Silverman, Jakub Bijak, Stuart Rossiter, Maria Evandrou, Seth Bullock, Athina Vlachantoni, Jane Falkingham:
Linked lives: the utility of an agent-based approach to modeling partnership and household formation in the context of social care. 93:1-93:12 - Sally C. Brailsford, Maria Evandrou, Rebekah Luff, Richard J. Shaw, Joe Viana, Athina Vlachantoni, Rosalind M. Willis:
Using system dynamics to model the social care system: simulation modeling as the catalyst in linking demography to care delivery. 94:1-94:12 - Joe Viana, Stuart Rossiter, Andrew Amos Channon, Sally C. Brailsford, Andrew J. Lotery:
A multi-paradigm, whole system view of health and social care for age-related macular degeneration. 95:1-95:12
Applications in healthcare: why healthcare professionals are slow to adopt modeling and simulation
- Patrick Kirchhof, Nicolas G. Meseth:
A survey on the use of simulation in German healthcare. 96:1-96:10 - James C. Fackler, Julie Hankin, Terry Young:
Why healthcare professionals are slow to adopt modeling and simulation. 97:1-97:6
Applications in social science and organization: applications of agent-based models in the social sciences
- Jean-Pierre Müller, Sigrid Aubert:
A generic model to assess sustainability of resource management plans within concurrent regulatory contexts. 98:1-98:12 - Maciej M. Latek, Seyed M. Mussavi Rizi, Armando Geller:
Using participatory elicitation to identify population needs and power structures in conflict environments. 99:1-99:13 - Flaminio Squazzoni, Claudio Gandelli:
Peer review under the microscope: an agent-based model of scientific collaboration. 100:1-100:12 - Benjamin Schrempf, Petra Ahrweiler:
Modelling innovation networks of general purpose technologies: the case of nanotechnology. 101:1-101:8
Applications in social science and organization: economics and management
- Marlies de Keizer, René Haijema, Jack G. A. J. van der Vorst, Jacqueline Bloemhof-Ruwaard:
Hybrid simulation and optimization approach to design and control fresh product networks. 102:1-102:12 - Nguyen Dang Minh, Nguyen Thi Thuy Dzung, Nguyen Thi Minh Hue, Nguyen Dang Toan:
Equity valuation model of vietnamese companies in a foreign securities market - a simulation approach. 103:1-103:12 - Caroline C. Krejci, Benita M. Beamon:
Modeling food supply chains using multi-agent simulation. 104:1-104:12
Applications in social science and organization: NESS non-equilibrium social science
- Richard Colbaugh, Kristin Glass, Curtis Johnson:
Predictive non-equilibrium social science. 105:1-105:12 - Paul Ormerod, Bassel Tarbush, R. Alexander Bentley:
Do the attributes of products matter for success in social network markets? 106:1-106:9 - Bridget Rosewell, Paul Ormerod:
Complexity and agent based models in the policy process. 107:1-107:11
Applications in social science and organization: planning
- Hozumi Morohosi, Takehiro Furuta:
Hypercube simulation analysis for a large-scale ambulance service system. 108:1-108:8 - Peter Lee, Georgios Theodoropoulos:
An open source simulation-based approach for neighbourhood spatial planning policy. 109:1-109:11 - Khaled Nassar, Ahmed Bayyoumi:
A simulation study of the effect of mosque design on egress times. 110:1-110:8
Applications in social science and organization: social behavior
- Roy Hayes, Mark E. Paddrik, Andrew Todd, Steve Y. Yang, Peter A. Beling, William T. Scherer:
Agent based model of the e-mini future: application for policy making. 111:1-111:12 - Arianna Dal Forno, Ugo Merlone:
Grounded theory based agents. 112:1-112:11 - Seung In Park, Francis K. H. Quek, Yong Cao:
Modeling social groups in crowds using common ground theory. 113:1-113:12
Case studies in production and logistics: added methods - computational intelligence
- Run Zhao, Soemon Takakuwa:
Simulation-based distributed fuzzy control for wip in a multi-variety and small-batch discrete production system with one tightly coupled cell. 114:1-114:12 - Marek Karkula, Lech Bukowski:
Computational intelligence methods: joint use in discrete event simulation model of logistics processes. 115:1-115:12