Discrete event simulations and parallel processing: statistical properties
SIAM Journal on Scientific and Statistical Computing
Statistical considerations in simulation on a network of microcomputers
WSC '85 Proceedings of the 17th conference on Winter simulation
Integrating optimization and simulation: research and practice
Proceedings of the 32nd conference on Winter simulation
A Java-based simulation manager for web-based simulation
Proceedings of the 32nd conference on Winter simulation
Parallel and Distribution Simulation Systems
Parallel and Distribution Simulation Systems
Panel: simulation optimization: future of simulation optimization
Proceedings of the 33nd conference on Winter simulation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
ISDA '05 Proceedings of the 5th International Conference on Intelligent Systems Design and Applications
Realization of web-based simulation services
Computers in Industry - Special issue: Advanced computer support of engineering and service processes of virtual enterprises
New advances and applications for marrying simulation and optimization
WSC '04 Proceedings of the 36th conference on Winter simulation
WSC '04 Proceedings of the 36th conference on Winter simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Web Services with generic simulation models for discrete event simulation
Mathematics and Computers in Simulation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
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Despite simulation offers tremendous promise for designing and analyzing complex production systems, manufacturing industry has been less successful in using it as a decision support tool, especially in the early conceptual phase of factory flow design. If simulation is used today for system design, it is more often used in later phases when important design decisions have already been made and costs are locked. With an aim to advocate the use of simulation in early phases of factory design and analysis, this paper introduces FACTS Analyzer, a toolset developed based on the concept of integrating model abstraction, automatic model generation and simulation-based optimization under an innovative Internet-based platform. Specifically, it addresses a novel model aggregation and generation method, which when combined together with other system components, like optimization engines, can synthetically enable simulation to become much easier to use and speed up the time-consuming model building, experimentation and optimization processes, in order to support optimal decision making.