WSC 2012: Berlin, Germany

Advanced tutorial

Analysis methodology: analysis and optimization of complex stochastic systems

Analysis methodology: discrete optimization, ranking, and selection

Analysis methodology: estimation with low bias and variance

Analysis methodology: gradient-based optimization

Analysis methodology: input modeling and service systems

Analysis methodology: metamodeling

Analysis methodology: Monte Carlo methods in statistics

Analysis methodology: multilevel simulation

Analysis methodology: randomized quasi-Monte Carlo methods

Analysis methodology: rare-event simulation I

Analysis methodology: rare-event simulation II

Analysis methodology: recent advances in simulation optimization

Analysis methodology: simulation in emergency services and defense

Analysis methodology: simulation-based optimization, learning, and dynamic programming

Applications in construction: energy simulations

Applications in construction: simulation in construction II

Applications in construction: simulation in construction scheduling

Applications in construction: simulation in health and safety

Applications in construction: simulation of construction operations

Applications in healthcare: combined OR/simulation techniques

Applications in healthcare: design of healthcare systems

Applications in healthcare: epidemic modeling

Applications in healthcare: healthcare capacity planning

Applications in healthcare: healthcare modeling

Applications in healthcare: healthcare operations management

Applications in healthcare: simulation of ambulance services

Applications in healthcare: simulation of emergency departments

Applications in healthcare: simulation of patient flow

Applications in healthcare: the care life cycle

Applications in healthcare: why healthcare professionals are slow to adopt modeling and simulation

Applications in social science and organization: applications of agent-based models in the social sciences

Applications in social science and organization: economics and management

Applications in social science and organization: NESS non-equilibrium social science

Applications in social science and organization: planning

Applications in social science and organization: social behavior

Case studies in production and logistics: added methods - computational intelligence

Case studies in production and logistics: case studies - material flow systems

Case studies in production and logistics: industrial production and logistics processes I

Case studies in production and logistics: industrial production and logistics processes II

Case studies in production and logistics: logistics networks

Case studies in production and logistics: shipbuilding and maritime applications

Case studies in production and logistics: simulation-based optimization

Case studies in production and logistics: warehouse logistics and inventory management